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Fló E, Fraiman D, Sitt JD. Assessing brain-muscle networks during motor imagery to detect covert command-following. BMC Med 2025; 23:68. [PMID: 39915775 PMCID: PMC11803995 DOI: 10.1186/s12916-025-03846-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 01/06/2025] [Indexed: 02/09/2025] Open
Abstract
BACKGROUND In this study, we evaluated the potential of a network approach to electromyography and electroencephalography recordings to detect covert command-following in healthy participants. The motivation underlying this study was the development of a diagnostic tool that can be applied in common clinical settings to detect awareness in patients that are unable to convey explicit motor or verbal responses, such as patients that suffer from disorders of consciousness (DoC). METHODS We examined the brain and muscle response during movement and imagined movement of simple motor tasks, as well as during resting state. Brain-muscle networks were obtained using non-negative matrix factorization (NMF) of the coherence spectra for all the channel pairs. For the 15/38 participants who showed motor imagery, as indexed by common spatial filters and linear discriminant analysis, we contrasted the configuration of the networks during imagined movement and resting state at the group level, and subject-level classifiers were implemented using as features the weights of the NMF together with trial-wise power modulations and heart response to classify resting state from motor imagery. RESULTS Kinesthetic motor imagery produced decreases in the mu-beta band compared to resting state, and a small correlation was found between mu-beta power and the kinesthetic imagery scores of the Movement Imagery Questionnaire-Revised Second version. The full-feature classifiers successfully distinguished between motor imagery and resting state for all participants, and brain-muscle functional networks did not contribute to the overall classification. Nevertheless, heart activity and cortical power were crucial to detect when a participant was mentally rehearsing a movement. CONCLUSIONS Our work highlights the importance of combining EEG and peripheral measurements to detect command-following, which could be important for improving the detection of covert responses consistent with volition in unresponsive patients.
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Affiliation(s)
- Emilia Fló
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, INSERM, CNRS, Paris, France.
| | - Daniel Fraiman
- Departamento de Matemática y Ciencias, Universidad de San Andrés, Buenos Aires, Argentina
- CONICET, Buenos Aires, Argentina
| | - Jacobo Diego Sitt
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, INSERM, CNRS, Paris, France.
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Zheng H, Ding S, Chen N, Huang Z, Tian L, Li H, Wang L, Li T, Cai J. Predicting Long-Term Outcome of Prolonged Disorder of Consciousness in Children Through Machine Learning Based on Conventional Structural Magnetic Resonance Imaging. Neurorehabil Neural Repair 2025; 39:91-101. [PMID: 39342446 DOI: 10.1177/15459683241287187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/01/2024]
Abstract
BACKGROUND The prognosis of prolonged disorders of consciousness (pDoC) in children has consistently posed a formidable challenge in clinical decision-making. OBJECTIVE This study aimed to develop a machine learning (ML) model based on conventional structural magnetic resonance imaging (csMRI) to predict outcomes in children with pDoC. METHODS A total of 196 children with pDoC were included in this study. Based on the consciousness states 1 year after brain injury, the children were categorized into either the favorable prognosis group or the poor prognosis group. They were then randomly assigned to the training set (n = 138) or the test set (n = 58). Semi-quantitative visual assessments of brain csMRI were conducted and Least Absolute Shrinkage and Selection Operator regression was used to identify significant features predicting outcomes. Based on the selected features, support vector machine (SVM), random forests (RF), and logistic regression (LR) were used to develop csMRI, clinical, and csMRI-clinical-merge models, respectively. Finally, the performances of all models were evaluated. RESULTS Seven csMRI features and 4 clinical features were identified as important predictors of consciousness recovery. All models achieved satisfactory prognostic performances (all areas under the curve [AUCs] >0.70). Notably, the csMRI model developed using the SVM exhibited the best performance, with an AUC, accuracy, sensitivity, and specificity of 0.851, 0.845, 0.844, and 0.846, respectively. CONCLUSIONS A csMRI-based prediction model for the prognosis of children with pDoC was developed, showing potential to predict recovery of consciousness 1 year after brain injury and is worth popularizing in clinical practice.
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Affiliation(s)
- Helin Zheng
- Department of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Shuang Ding
- Department of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Ningning Chen
- Rehabilitation Center, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders. Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Zhongxin Huang
- Department of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Lu Tian
- Department of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Hao Li
- Department of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Longlun Wang
- Department of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Tingsong Li
- Rehabilitation Center, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders. Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Jinhua Cai
- Department of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
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Threlkeld ZD, Bodien YG, Edlow BL. A scientific approach to diagnosis of disorders of consciousness. HANDBOOK OF CLINICAL NEUROLOGY 2025; 207:49-66. [PMID: 39986727 DOI: 10.1016/b978-0-443-13408-1.00003-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/24/2025]
Abstract
Disorder of consciousness (DoC) are the shared clinical manifestation of severe brain injuries resulting from a variety of etiologies. The nosology of DoC, as well as the armamentarium of methods available to diagnose it, has rapidly evolved. As a result, the diagnosis of DoC is complex and dynamic. We offer an evidence-based approach to DoC diagnosis, highlighting the challenges and pitfalls therein. Accordingly, we summarize the contemporary taxonomy of DoC and its development. We discuss the standardized behavioral diagnostic tools that form the foundation of DoC diagnosis, the evidence for their use, and their limitations. We also highlight recent advances in functional MRI (fMRI) and electroencephalography (EEG) techniques to increase the sensitivity and specificity of DoC diagnosis. We discuss the concept of covert consciousness (i.e., cognitive motor dissociation) as a discrete diagnostic category of DoC, as well as its diagnostic implications. Finally, we underscore issues of neuroethics and equity raised by contemporary models of DoC.
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Affiliation(s)
- Zachary D Threlkeld
- Department of Neurology, Stanford School of Medicine, Stanford, CA, United States.
| | - Yelena G Bodien
- Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, MA, United States
| | - Brian L Edlow
- Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
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Ridha M, Kumar A, Claassen J. Electrophysiology in disorders of consciousness. HANDBOOK OF CLINICAL NEUROLOGY 2025; 207:129-146. [PMID: 39986717 DOI: 10.1016/b978-0-443-13408-1.00013-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/24/2025]
Abstract
Electroencephalography (EEG) has emerged as a powerful tool in the diagnosis, characterization, and prognostication of patients with disorders of consciousness (DoC). EEG is a well-established monitoring tool for the treatment of specific patient populations with impaired consciousness, such as those with status epilepticus and cardiac arrest. The interrogation of neuronal circuitry using evoked and event-related potentials adds prognostic information in comatose individuals. Novel paradigms integrating transcranial magnetic stimulation may provide insights into the underpinnings of arousal and awareness. Covert consciousness, or willful brain activation to motor commands in behaviorally unresponsive patients, may be diagnosed using EEG recordings and has been linked to better outcomes. These advanced EEG methods are increasingly being explored and integrated into the management of DoC patients.
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Affiliation(s)
- Mohamed Ridha
- Department of Neurology, Columbia University Medical Center, New York-Presbyterian Hospital, New York, NY, United States; Department of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Aditya Kumar
- Department of Neurology, Columbia University Medical Center, New York-Presbyterian Hospital, New York, NY, United States; Department of Neurology, Barrow Neurological Institute, Phoenix, AZ, United States
| | - Jan Claassen
- Department of Neurology, Columbia University Medical Center, New York-Presbyterian Hospital, New York, NY, United States
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Johnson-Black PH, Carlson JM, Vespa PM. Traumatic brain injury and disorders of consciousness. HANDBOOK OF CLINICAL NEUROLOGY 2025; 207:75-96. [PMID: 39986729 DOI: 10.1016/b978-0-443-13408-1.00014-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/24/2025]
Abstract
Trauma is one of the most common causes of disorders of consciousness (DOC) worldwide. Traumatic brain injury (TBI) leads to heterogeneous, multifocal injury via focal brain damage and diffuse axonal injury, causing an acquired network disorder. Recovery occurs through reemergence of dynamic cortical and subcortical networks. Accurate diagnostic evaluation is essential toward promoting recovery and may be more challenging in traumatic than non-traumatic brain injuries. Standardized neurobehavioral assessment is the cornerstone for assessments in the acute, prolonged, and chronic phases of traumatic DOC, while structural and functional neuroimaging, tractography, nuclear medicine studies, and electrophysiologic techniques assist with differentiation of DOC states and prognostication. Prognosis for recovery is better for patients with TBI than those with non-traumatic brain injuries, and the timeline for recovery is longer. The majority of patients experience improvement in their DOC within the first year post-injury, but recovery can continue for five and even ten years after TBI. Pharmacologic therapy and device-related neuromodulation represent important areas for future research.
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Affiliation(s)
- Phoebe H Johnson-Black
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
| | - Julia M Carlson
- Department of Neurology, UNC Neurorecovery Clinic, University of North Carolina School of Medicine, Chapel Hill, NC, United States
| | - Paul M Vespa
- Assistant Dean of Research in Critical Care, Gary L. Brinderson Family Chair in Neurocritical Care, Department of Neurosurgery and Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States
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Li M, Cecconi B, Gosseries O, Cheng L, Yan Y, Chen Y, Li Y, Laureys S, Di H. Exploring end-of-life decision-making in China for disorders of consciousness. Ann Med 2024; 56:2423794. [PMID: 39587778 PMCID: PMC11600546 DOI: 10.1080/07853890.2024.2423794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 04/16/2024] [Accepted: 09/18/2024] [Indexed: 11/27/2024] Open
Abstract
OBJECTIVES We aim to investigate the ethical attitudes of the Chinese population toward withdrawal of life-sustaining treatment (WLST) in disorders of consciousness (DoC) patients. METHODS A self-administered questionnaire concerning WLST was distributed to Chinese medical professionals and non-medical participants between February and July 2022. Statistical analysis included chi-square tests and logistic regressions. RESULTS A total of 1223 Chinese participants responded to the questionnaire (39% of whom were medical professionals). Less than one third of participants reported positive attitudes towards withdrawing artificial nutrition and hydration (ANH), antibiotics, and do-not-resuscitation (DNR) orders in patients with unresponsive wakefulness syndrome (UWS) (30%, 24%, 24%) and minimally conscious state (MCS) (23%, 19%, 15%). More respondents agreed with WLST in UWS compared to MCS (p < 0.05). Positive attitudes toward DNR orders were associated with participants' older age, religion, monthly income > 5000 RMB and medical profession (p < 0.05). Most participants deemed patient's will (78%), families' wishes (67%), and financial burden (63%) to be crucial factors when considering WLST. CONCLUSIONS Chinese respondents exhibit a relatively low propensity to accept WLST in DoC. Ethical attitudes toward WLST resulted to be affected by individual characteristics of responders. These results call for developing better regulations for identifying qualified surrogate decision-makers and reducing legal ambiguities.
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Affiliation(s)
- Meiqi Li
- International Unresponsive Wakefulness Syndrome and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, China
- Intensive Care Unite, Hangzhou First People’s Hospital, Hangzhou, China
| | - Benedetta Cecconi
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium
- Centre du Cerveau, University Hospital of Liège, Liège, Belgium
| | - Olivia Gosseries
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium
- Centre du Cerveau, University Hospital of Liège, Liège, Belgium
| | - Lijuan Cheng
- International Unresponsive Wakefulness Syndrome and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, China
| | - Yifan Yan
- School of Public Health, Zhejiang University, Hangzhou, China
| | - Yan Chen
- International Unresponsive Wakefulness Syndrome and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, China
- School of Basic Medicine, Hangzhou Normal University, Hangzhou, China
| | - Yan Li
- International Unresponsive Wakefulness Syndrome and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, China
- School of Basic Medicine, Hangzhou Normal University, Hangzhou, China
| | - Steven Laureys
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium
- Centre du Cerveau, University Hospital of Liège, Liège, Belgium
- Joint International Research Unit on Consciousness, CERVO Brain Research Centre, Laval University, Québec, Canada
| | - Haibo Di
- International Unresponsive Wakefulness Syndrome and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, China
- School of Basic Medicine, Hangzhou Normal University, Hangzhou, China
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Sun J, Yan J, Zhao L, Wei X, Qiu C, Dong W, Luo B, Zhang W. Spinal Cord Stimulation for Prolonged Disorders of Consciousness: A Study on Scalp Electroencephalography. CNS Neurosci Ther 2024; 30:e70180. [PMID: 39736021 DOI: 10.1111/cns.70180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2024] [Revised: 11/27/2024] [Accepted: 11/30/2024] [Indexed: 12/31/2024] Open
Abstract
BACKGROUND Patients with disorders of consciousness (DOC) undergoing spinal cord stimulation (SCS) for arousal treatment require an assessment of their conscious state before and after the procedure. This is typically evaluated using behavioral scales (CRS-R), but this method can be influenced by the subjectivity of the physician. Event-related potentials (ERP) and EEG power spectrum are associated with the recovery of consciousness. This study aims to explore the electrophysiological and behavioral evidence of consciousness recovery in DOC patients after spinal cord stimulation (SCS) and to investigate the role of scalp EEG as a guide for preoperative assessment related to the surgery. METHODS For the 27 recruited patients, the CRS-R scale assessment and ERP P300 evaluation were completed before the surgery. At 3 months post-surgery, all 27 patients underwent the same assessments as preoperatively, and at 6 months post-surgery, the same evaluations were repeated for the 15 patients who could still be followed up. Between May 2023 and November 2023, resting-state EEG was collected from 13 patients using a 19-channel setup, with additional resting-state EEG recordings taken at 3 months and 6 months after the surgery. The EEG data were processed using EEGLAB to obtain P300-related metrics and EEG power spectrum. Changes in the CRS-R scale, ERP, and EEG power spectrum before and after the surgery were compared. RESULTS The Behavioral Scale (CRS-R) showed significant improvement at 3 months and 6 months post-surgery compared to preoperative assessments, with statistical significance (p < 0.001). The resting-state EEG power in the 5-9 Hz frequency band demonstrated statistically significant improvements at the P3 and O1 electrodes; however, this statistical result do not survive FDR correction. In the 9-13 Hz and 20-35 Hz frequency bands, the power spectrum showed statistically significant improvements across most electrodes of the brain, and these results survive FDR correction (p < 0.05). The mean amplitude, peak, and latency of P300 at the Pz electrode showed significant improvements at 3 months and 6 months post-surgery compared to preoperative values, with statistical significance (p < 0.05). CONCLUSION Our study shows that SCS can effectively improve the consciousness states of patients with DOC. After surgery, there were positive changes in the EEG power spectrum of the patients, transitioning from type "B" to better types "C" and "D." The average amplitude, peak, and latency of P300 also demonstrated significant improvements postoperatively. We believe that the "ABCD" model and ERP assessment applied during the preoperative evaluation can effectively enhance the success rate of SCS surgery in promoting awakening.
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Affiliation(s)
- Jian Sun
- Department of Functional Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Jiuqi Yan
- Department of Functional Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Liang Zhao
- Department of Functional Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xiang Wei
- Department of Functional Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chang Qiu
- Department of Functional Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Wenwen Dong
- Department of Functional Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Bei Luo
- Department of Functional Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Wenbin Zhang
- Department of Functional Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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Champs APS, Santanna TNFDV, Couto CM, Macedo RC, Penna PS, Cruz LCVB, Silva-Neto RXD, Vaz LS. Validation to Brazilian Portuguese of the coma recovery scale-revised. ARQUIVOS DE NEURO-PSIQUIATRIA 2024; 82:1-8. [PMID: 39566554 DOI: 10.1055/s-0044-1791657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2024]
Abstract
BACKGROUND To improve the diagnostic accuracy of the state of consciousness of patients with severe brain injury, Giacino et al. introduced the Coma Recovery Scale (CRS) in 1991, which underwent revision in 2004, resulting in the revised CRS scale (CRS-R). OBJECTIVE To determine the concurrent validity, as well as inter- and intrarater agreement of the CRS-R's adaptation to Brazilian Portuguese. METHODS This study involved a sample of 30 patients with severe brain injury. Concurrent evaluations were also performed with the Glasgow Coma Scale (GCS) and the Full Outline of UnResponsiveness (FOUR) scale. A total of seven rehabilitation experts were recruited to assess the inter- and intrarater reliability agreement. RESULTS Interrater reliability was moderate to high for auditory, visual, motor, verbal, communication, and arousal subscales (Cohen weighted kappa = 0.765 to 0.892; p < 0.001). Significant inter and intrarater intraclass correlation coefficients were observed for the total CRS-R scores, all of which were statistically significant (p < 0.001). Also, total CRS-R scores exhibited a high correlation with the total GCS and FOUR scores, indicating acceptable concurrent validity (p < 0.001). CONCLUSION The Brazilian Portuguese version of CRS-R can be reliably administered by trained examiners. This study demonstrated substantial to almost perfect interrater agreement for the total score and subscales, as well as high concurrent validity between the Brazilian Portuguese version of CRS-R and the other two standardized behavioral scales.
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Affiliation(s)
| | | | | | | | | | | | | | - Luiz Sérgio Vaz
- Rede SARAH de Hospitais de Reabilitação, Belo Horizonte MG, Brazil
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Sanders WR, Barber JK, Temkin NR, Foreman B, Giacino JT, Williamson T, Edlow BL, Manley GT, Bodien YG. Recovery Potential in Patients Who Died After Withdrawal of Life-Sustaining Treatment: A TRACK-TBI Propensity Score Analysis. J Neurotrauma 2024; 41:2336-2348. [PMID: 38739032 PMCID: PMC11564834 DOI: 10.1089/neu.2024.0014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2024] Open
Abstract
Among patients with severe traumatic brain injury (TBI), there is high prognostic uncertainty but growing evidence that recovery of independence is possible. Nevertheless, families are often asked to make decisions about withdrawal of life-sustaining treatment (WLST) within days of injury. The range of potential outcomes for patients who died after WLST (WLST+) is unknown, posing a challenge for prognostic modeling and clinical counseling. We investigated the potential for survival and recovery of independence after acute TBI in patients who died after WLST. We used Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) data and propensity score matching to pair participants with WLST+ to those with a similar probability of WLST (based on demographic and clinical characteristics), but for whom life-sustaining treatment was not withdrawn (WLST-). To optimize matching, we divided the WLST- cohort into tiers (Tier 1 = 0-11%, Tier 2 = 11-27%, Tier 3 = 27-70% WLST propensity). We estimated the level of recovery that could be expected in WLST+ participants by evaluating 3-, 6-, and 12-month Glasgow Outcome Scale-Extended (GOSE) and Disability Rating Scale outcomes in matched WLST- participants. Of 90 WLST+ participants (80% male, mean [standard deviation; SD] age = 59.2 [17.9] years, median [IQR] days to WLST = 5.4 [2.2, 11.7]), 80 could be matched to WLST- participants. Of 56 WLST- participants who were followed at 6 months, 31 (55%) died. Among survivors in the overall sample and survivors in Tiers 1 and 2, more than 30% recovered at least partial independence (GOSE ≥4). In Tier 3, recovery to GOSE ≥4 occurred at 12 months, but not 6 months, post-injury. These results suggest a substantial proportion of patients with TBI and WLST may have survived and achieved at least partial independence. However, death or severe disability is a common outcome when the probability of WLST is high. While further validation is needed, our findings support a more cautious clinical approach to WLST and more complete reporting on WLST in TBI studies.
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Affiliation(s)
- William R. Sanders
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
| | - Jason K. Barber
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
| | - Nancy R. Temkin
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Brandon Foreman
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati, Cincinnati, Ohio, USA
| | - Joseph T. Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, Massachusetts, USA
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA
| | - Theresa Williamson
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Brian L. Edlow
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA
| | - Geoffrey T. Manley
- Department of Neurological Surgery, University of California San Francisco, San Francisco, California, USA
| | - Yelena G. Bodien
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, Massachusetts, USA
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA
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10
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Sangare A, Munoz-Musat E, Ben Salah A, Valente M, Marois C, Demeret S, Sitt JD, Rohaut B, Naccache L. Pain anticipation is a new behavioural sign of minimally conscious state. Brain Commun 2024; 6:fcae311. [PMID: 39346020 PMCID: PMC11430917 DOI: 10.1093/braincomms/fcae311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 07/26/2024] [Accepted: 09/12/2024] [Indexed: 10/01/2024] Open
Abstract
Probing cognition and consciousness in the absence of functional communication remains an extremely challenging task. In this perspective, we imagined a basic clinical procedure to explore pain anticipation at bedside. In a series of 61 patients with a disorder of consciousness, we tested the existence of a nociceptive anticipation response by pairing a somaesthetic stimulation with a noxious stimulation. We then explored how nociceptive anticipation response correlated with (i) clinical status inferred from Coma Recovery Scale-Revised scoring, (ii) with an EEG signature of stimulus anticipation-the contingent negative variation-and (iii) how nociceptive anticipation response could predict consciousness outcome at 6 months. Proportion of nociceptive anticipation response differed significantly according to the state of consciousness: nociceptive anticipation response was present in 5 of 5 emerging from minimally conscious state patients (100%), in 10 of 11 minimally conscious state plus patients (91%), but only in 8 of 17 minimally conscious state minus patients (47%), and only in 1 of 24 vegetative state/unresponsive wakefulness syndrome patients (4%) (χ 2 P < 0.0001). Nociceptive anticipation response correlated with the presence of a contingent negative variation, suggesting that patients with nociceptive anticipation response were more prone to actively expect and anticipate auditory stimuli (Fisher's exact test P = 0.05). However, nociceptive anticipation response presence did not predict consciousness recovery. Nociceptive anticipation response appears as a new additional behavioural sign that can be used to differentiate minimally conscious state from vegetative state/unresponsive wakefulness syndrome patients. As most behavioural signs of minimally conscious state, the nociceptive anticipation response seems to reveal the existence of a cortically mediated state that does not necessarily reflect residual conscious processing.
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Affiliation(s)
- Aude Sangare
- Paris Brain Institute-ICM, Inserm U1127, CNRS UMR 7225, PICNIC Lab, Sorbonne Universite, Paris 75013, France
- Département de Neurophysiologie, Sorbonne Université, Assistance Publique—Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Paris 75013, France
| | - Esteban Munoz-Musat
- Paris Brain Institute-ICM, Inserm U1127, CNRS UMR 7225, PICNIC Lab, Sorbonne Universite, Paris 75013, France
| | - Amina Ben Salah
- Paris Brain Institute-ICM, Inserm U1127, CNRS UMR 7225, PICNIC Lab, Sorbonne Universite, Paris 75013, France
| | - Melanie Valente
- Paris Brain Institute-ICM, Inserm U1127, CNRS UMR 7225, PICNIC Lab, Sorbonne Universite, Paris 75013, France
- Département de Neurophysiologie, Sorbonne Université, Assistance Publique—Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Paris 75013, France
| | - Clemence Marois
- Département de Neurologie, Sorbonne Université, Assistance Publique—Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, médecine intensive et réanimation Paris, Paris 75013, France
| | - Sophie Demeret
- Département de Neurologie, Sorbonne Université, Assistance Publique—Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, médecine intensive et réanimation Paris, Paris 75013, France
| | - Jacobo Diego Sitt
- Paris Brain Institute-ICM, Inserm U1127, CNRS UMR 7225, PICNIC Lab, Sorbonne Universite, Paris 75013, France
| | - Benjamin Rohaut
- Paris Brain Institute-ICM, Inserm U1127, CNRS UMR 7225, PICNIC Lab, Sorbonne Universite, Paris 75013, France
- Département de Neurologie, Sorbonne Université, Assistance Publique—Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, médecine intensive et réanimation Paris, Paris 75013, France
| | - Lionel Naccache
- Paris Brain Institute-ICM, Inserm U1127, CNRS UMR 7225, PICNIC Lab, Sorbonne Universite, Paris 75013, France
- Département de Neurophysiologie, Sorbonne Université, Assistance Publique—Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière Charles Foix, Paris 75013, France
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11
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Grabarczyk L. Assessment of the Potential of Modern Diagnostic Tools in Differentiation of Minimum Conscious State from the Vegetative State. Ann Neurosci 2024:09727531241254214. [PMID: 39544649 PMCID: PMC11559768 DOI: 10.1177/09727531241254214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Accepted: 03/04/2024] [Indexed: 11/17/2024] Open
Abstract
Background The problem of treatment of patients in coma and persistent disturbances of consciousness is difficult and often neglected. Purpose The study validated the effectiveness of functional magnetic resonance imaging, electroencephalography and isotopic brain perfusion in differentiating vegetative state from minimal conscious state. Methods The study was performed in a group of 61 patients with persistent disturbances of consciousness. All patients underwent CRS-R differentiation of consciousness and functional magnetic resonance imaging, EEG, and SPECT/CT studies according to a uniform diagnostic protocol. Results Analysis has shown that functional magnetic resonance imaging is an effective tool for detecting of consciousness. Analysis of the EEG showed that the occurrence of primary alpha rhythm in patients with impaired consciousness coincides with the state of minimal conscious and may indicate a favourable prognosis. Sector analysis of isotopic cerebral perfusion allowed to put forward the thesis that the key role in the maintenance of consciousness plays a medial part of the left parietal lobe. Conclusion On the basis of these results, diagnostic protocol was developed for patients with disturbances of consciousness.
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Affiliation(s)
- Lukasz Grabarczyk
- Department of Neurology and Neurosurgery, Faculty of Medical Sciences, University of Warmia and Mazury, Olsztyn, Poland
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12
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Rohaut B, Calligaris C, Hermann B, Perez P, Faugeras F, Raimondo F, King JR, Engemann D, Marois C, Le Guennec L, Di Meglio L, Sangaré A, Munoz Musat E, Valente M, Ben Salah A, Demertzi A, Belloli L, Manasova D, Jodaitis L, Habert MO, Lambrecq V, Pyatigorskaya N, Galanaud D, Puybasset L, Weiss N, Demeret S, Lejeune FX, Sitt JD, Naccache L. Multimodal assessment improves neuroprognosis performance in clinically unresponsive critical-care patients with brain injury. Nat Med 2024; 30:2349-2355. [PMID: 38816609 PMCID: PMC11333287 DOI: 10.1038/s41591-024-03019-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 04/24/2024] [Indexed: 06/01/2024]
Abstract
Accurately predicting functional outcomes for unresponsive patients with acute brain injury is a medical, scientific and ethical challenge. This prospective study assesses how a multimodal approach combining various numbers of behavioral, neuroimaging and electrophysiological markers affects the performance of outcome predictions. We analyzed data from 349 patients admitted to a tertiary neurointensive care unit between 2009 and 2021, categorizing prognoses as good, uncertain or poor, and compared these predictions with observed outcomes using the Glasgow Outcome Scale-Extended (GOS-E, levels ranging from 1 to 8, with higher levels indicating better outcomes). After excluding cases with life-sustaining therapy withdrawal to mitigate the self-fulfilling prophecy bias, our findings reveal that a good prognosis, compared with a poor or uncertain one, is associated with better one-year functional outcomes (common odds ratio (95% CI) for higher GOS-E: OR = 14.57 (5.70-40.32), P < 0.001; and 2.9 (1.56-5.45), P < 0.001, respectively). Moreover, increasing the number of assessment modalities decreased uncertainty (OR = 0.35 (0.21-0.59), P < 0.001) and improved prognostic accuracy (OR = 2.72 (1.18-6.47), P = 0.011). Our results underscore the value of multimodal assessment in refining neuroprognostic precision, thereby offering a robust foundation for clinical decision-making processes for acutely brain-injured patients. ClinicalTrials.gov registration: NCT04534777 .
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Affiliation(s)
- B Rohaut
- Sorbonne Université, Paris, France.
- Paris Brain Institute - ICM, Inserm, CNRS, PICNIC-Lab, Paris, France.
- APHP, Hôpital de la Pitié Salpêtrière, DMU Neurosciences - Neuro ICU, Paris, France.
| | - C Calligaris
- APHP, Hôpital de la Pitié Salpêtrière, DMU Neurosciences - Neuro ICU, Paris, France
- GHU Paris Psychiatrie et Neurosciences, Pole Neuro, Sainte‑Anne Hospital, Anesthesia and Intensive Care Department, Paris, France
| | - B Hermann
- Paris Brain Institute - ICM, Inserm, CNRS, PICNIC-Lab, Paris, France
- APHP, Hôpital de la Pitié Salpêtrière, DMU Neurosciences - Neuro ICU, Paris, France
- GHU Paris Psychiatrie et Neurosciences, Pole Neuro, Sainte‑Anne Hospital, Anesthesia and Intensive Care Department, Paris, France
| | - P Perez
- Paris Brain Institute - ICM, Inserm, CNRS, PICNIC-Lab, Paris, France
- APHP, Hôpital de la Pitié Salpêtrière, DMU Neurosciences - Neuro ICU, Paris, France
| | - F Faugeras
- Paris Brain Institute - ICM, Inserm, CNRS, PICNIC-Lab, Paris, France
| | - F Raimondo
- Paris Brain Institute - ICM, Inserm, CNRS, PICNIC-Lab, Paris, France
| | - J-R King
- Paris Brain Institute - ICM, Inserm, CNRS, PICNIC-Lab, Paris, France
- Laboratoire des systèmes perceptifs, Département d'études cognitives, École normale supérieure, PSL University, CNRS, Paris, France
| | - D Engemann
- Paris Brain Institute - ICM, Inserm, CNRS, PICNIC-Lab, Paris, France
| | - C Marois
- Paris Brain Institute - ICM, Inserm, CNRS, PICNIC-Lab, Paris, France
- APHP, Hôpital de la Pitié Salpêtrière, DMU Neurosciences - Neuro ICU, Paris, France
| | - L Le Guennec
- Sorbonne Université, Paris, France
- APHP, Hôpital de la Pitié Salpêtrière, DMU Neurosciences - Neuro ICU, Paris, France
| | - L Di Meglio
- Sorbonne Université, Paris, France
- APHP, Hôpital de la Pitié Salpêtrière, DMU Neurosciences - Neuro ICU, Paris, France
- GHU Paris Psychiatrie et Neurosciences, Pole Neuro, Sainte‑Anne Hospital, Anesthesia and Intensive Care Department, Paris, France
| | - A Sangaré
- Sorbonne Université, Paris, France
- Paris Brain Institute - ICM, Inserm, CNRS, PICNIC-Lab, Paris, France
- APHP, Hôpital de la Pitié Salpêtrière, DMU Neurosciences - Neurophysiology, Paris, France
| | - E Munoz Musat
- Paris Brain Institute - ICM, Inserm, CNRS, PICNIC-Lab, Paris, France
- APHP, Hôpital de la Pitié Salpêtrière, DMU Neurosciences - Neurophysiology, Paris, France
| | - M Valente
- Paris Brain Institute - ICM, Inserm, CNRS, PICNIC-Lab, Paris, France
| | - A Ben Salah
- Sorbonne Université, Paris, France
- Paris Brain Institute - ICM, Inserm, CNRS, PICNIC-Lab, Paris, France
| | - A Demertzi
- Paris Brain Institute - ICM, Inserm, CNRS, PICNIC-Lab, Paris, France
- Physiology of Cognition GIGA-CRC In Vivo Imaging Center, University of Liège, Liège, Belgium
| | - L Belloli
- Paris Brain Institute - ICM, Inserm, CNRS, PICNIC-Lab, Paris, France
| | - D Manasova
- Paris Brain Institute - ICM, Inserm, CNRS, PICNIC-Lab, Paris, France
| | - L Jodaitis
- Paris Brain Institute - ICM, Inserm, CNRS, PICNIC-Lab, Paris, France
- APHP, Hôpital de la Pitié Salpêtrière, DMU Neurosciences - Neuro ICU, Paris, France
| | - M O Habert
- Sorbonne Université, Paris, France
- APHP, Hôpital de la Pitié Salpêtrière, Departement of Nuclear Medicine, Laboratoire d'Imagerie Biomédicale, Inserm, CNRS, Paris, France
| | - V Lambrecq
- Sorbonne Université, Paris, France
- APHP, Hôpital de la Pitié Salpêtrière, DMU Neurosciences - Neurophysiology, Paris, France
| | - N Pyatigorskaya
- Sorbonne Université, Paris, France
- APHP, Hôpital de la Pitié Salpêtrière, Departement of Neuro-radiology, Paris, France
| | - D Galanaud
- Sorbonne Université, Paris, France
- APHP, Hôpital de la Pitié Salpêtrière, Departement of Neuro-radiology, Paris, France
| | - L Puybasset
- Sorbonne Université, Paris, France
- APHP, Hôpital de la Pitié Salpêtrière, Departement of Neuro-anaesthesiology and Neurocritical care, Paris, France
| | - N Weiss
- Sorbonne Université, Paris, France
- APHP, Hôpital de la Pitié Salpêtrière, DMU Neurosciences - Neuro ICU, Paris, France
| | - S Demeret
- APHP, Hôpital de la Pitié Salpêtrière, DMU Neurosciences - Neuro ICU, Paris, France
| | - F X Lejeune
- Paris Brain Institute - ICM, Inserm, CNRS, Data Analysis Core, Paris, France
| | - J D Sitt
- Paris Brain Institute - ICM, Inserm, CNRS, PICNIC-Lab, Paris, France
| | - L Naccache
- Sorbonne Université, Paris, France
- Paris Brain Institute - ICM, Inserm, CNRS, PICNIC-Lab, Paris, France
- APHP, Hôpital de la Pitié Salpêtrière, DMU Neurosciences - Neurophysiology, Paris, France
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13
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Lissak IA, Young MJ. Limitation of life sustaining therapy in disorders of consciousness: ethics and practice. Brain 2024; 147:2274-2288. [PMID: 38387081 PMCID: PMC11224617 DOI: 10.1093/brain/awae060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 02/01/2024] [Accepted: 02/08/2024] [Indexed: 02/24/2024] Open
Abstract
Clinical conversations surrounding the continuation or limitation of life-sustaining therapies (LLST) are both challenging and tragically necessary for patients with disorders of consciousness (DoC) following severe brain injury. Divergent cultural, philosophical and religious perspectives contribute to vast heterogeneity in clinical approaches to LLST-as reflected in regional differences and inter-clinician variability. Here we provide an ethical analysis of factors that inform LLST decisions among patients with DoC. We begin by introducing the clinical and ethical challenge and clarifying the distinction between withdrawing and withholding life-sustaining therapy. We then describe relevant factors that influence LLST decision-making including diagnostic and prognostic uncertainty, perception of pain, defining a 'good' outcome, and the role of clinicians. In concluding sections, we explore global variation in LLST practices as they pertain to patients with DoC and examine the impact of cultural and religious perspectives on approaches to LLST. Understanding and respecting the cultural and religious perspectives of patients and surrogates is essential to protecting patient autonomy and advancing goal-concordant care during critical moments of medical decision-making involving patients with DoC.
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Affiliation(s)
- India A Lissak
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Michael J Young
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
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14
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Yan Y, Li M, Annen J, Huang W, Cai T, Wang X, Hu X, Laureys S, Di H. Perception of diagnosis by family caregivers in severe brain injury patients in China. BMC Palliat Care 2024; 23:148. [PMID: 38872186 PMCID: PMC11170822 DOI: 10.1186/s12904-024-01482-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 06/05/2024] [Indexed: 06/15/2024] Open
Abstract
OBJECTIVES Surrogate decision-making by family caregivers for patients with severe brain injury is influenced by the availability and understanding of relevant information and expectations for future rehabilitation. We aimed to compare the consistency of family caregivers' perceptions with clinical diagnoses and to inform their expectation of prognosis in the future. METHODS The Coma Recovery Scale-Revised was used to assess the diagnosis of inpatients with severe brain injury between February 2019 and February 2020. A main family caregiver was included per patient. The family caregiver's perception of the patient's consciousness and expectations of future recovery were collected through questionnaires and compared consistently with the clinical diagnosis. RESULTS The final sample included 101 main family caregivers of patients (57 UWS, unresponsive wakefulness syndrome, 37 MCS, minimally conscious state, 7 EMCS, emergence from MCS) with severe brain injury. Only 57 family caregivers correctly assessed the level of consciousness as indicated by the CRS-R, showing weak consistency (Kappa = 0.217, P = 0.002). Family caregivers' demographic characteristics and CRS-R diagnosis influenced the consistency between perception and clinical diagnosis. Family caregivers who provided hands-on care to patients showed higher levels of consistent perception (AOR = 12.24, 95% CI = 2.06-73.00, P = 0.006). Compared to UWS, the family caregivers of MCS patients were more likely to have a correct perception (OR = 7.68, 95% CI = 1.34-44.06). Family caregivers had positive expectations for patients' recovery in terms of both communication and returning to normal life. CONCLUSION Nearly half of family caregivers have inadequate understanding of their relative's level of consciousness, and most of them report overly optimistic expectations that do not align with clinical diagnosis. Providing more medical information to family caregivers to support their surrogate decision-making process is essential.
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Affiliation(s)
- Yifan Yan
- International Unresponsive Wakefulness Syndrome and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, 310036, China
- School of Public Health, Zhejiang University, Hangzhou, China
| | - Meiqi Li
- International Unresponsive Wakefulness Syndrome and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, 310036, China
- Department of Nursing, Hangzhou First People's Hospital, Hangzhou, China
| | - Jitka Annen
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium
- Centre du Cerveau2, University Hospital of Liège, Liège, Belgium
| | - Wangshan Huang
- International Unresponsive Wakefulness Syndrome and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, 310036, China
| | - Tiantian Cai
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xueying Wang
- International Unresponsive Wakefulness Syndrome and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, 310036, China
| | - Xiaohua Hu
- Department of Rehabilitation, Hospital of Zhejiang People's Armed Polic, Hangzhou, China
| | - Steven Laureys
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium
- Centre du Cerveau2, University Hospital of Liège, Liège, Belgium
- CERVO Brain Research Centre, Laval University, Québec, Canada
| | - Haibo Di
- International Unresponsive Wakefulness Syndrome and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, 310036, China.
- School of Basic Medicine, Hangzhou Normal University, Hangzhou, China.
- Department of radiology of Affiliated Hospital, Hangzhou Normal University, Hangzhou, China.
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15
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Pavlov YG, Spiegelsberger F, Kotchoubey B. Predicting outcome in disorders of consciousness: A mega-analysis. Ann Clin Transl Neurol 2024; 11:1465-1477. [PMID: 38591650 PMCID: PMC11187962 DOI: 10.1002/acn3.52061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 03/28/2024] [Accepted: 03/30/2024] [Indexed: 04/10/2024] Open
Abstract
OBJECTIVE Assessing recovery potential in patients with disorders of consciousness (DoC) is pivotal for guiding clinical and ethical decisions. We conducted a mega-analysis of individual patient data to understand (1) if a time threshold exists, beyond which regaining consciousness is almost impossible, and (2) how recovery varies based on factors such as diagnosis, etiology, age, sex, and neuropsychological status. METHODS A systematic literature search revealed a total of 3290 patients. In this sample, we performed a Cox proportional hazards analysis for interval censored data. RESULTS We observed a late saturation of probability to regain consciousness in Kaplan-Meier curves, and the annual rate of recovery was remarkably stable, in that approximately 35% of patients regained consciousness per year. Patients in minimally conscious state (MCS) recovered more frequently than patients in unresponsive wakefulness syndrome (UWS). No significant difference was observed between the recovery dynamics of MCS subgroups: MCS+ and MCS-. Patients with hypoxic brain lesions showed worse recovery rate than patients with traumatic brain injury and patients with vascular brain lesions, while the latter two categories did not differ from each other. Male patients had moderately better chance to regain consciousness. While younger UWS patients recovered more frequently than older patients, it was not the case in MCS. INTERPRETATION Our findings highlight the necessity for neurologists to exercise caution when making negative predictions in individual cases, challenge traditional beliefs regarding recovery timelines, and underscore the importance of conducting detailed and prolonged assessments to better understand recovery prospects in DoC.
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Affiliation(s)
- Yuri G. Pavlov
- Institute of Medical Psychology and Behavioral NeurobiologyUniversity of TübingenTübingen72076Germany
| | - Franziska Spiegelsberger
- Institute of Medical Psychology and Behavioral NeurobiologyUniversity of TübingenTübingen72076Germany
| | - Boris Kotchoubey
- Institute of Medical Psychology and Behavioral NeurobiologyUniversity of TübingenTübingen72076Germany
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16
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Toplutaş E, Aydın F, Hanoğlu L. EEG Microstate Analysis in Patients with Disorders of Consciousness and Its Clinical Significance. Brain Topogr 2024; 37:377-387. [PMID: 36735192 DOI: 10.1007/s10548-023-00939-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 01/19/2023] [Indexed: 02/04/2023]
Abstract
Disorders of Consciousness are divided into two major categories such as vegetative and minimally conscious states. Objective measures that allow correct identification of patients with vegetative and minimally conscious state are needed. EEG microstate analysis is a promising approach that we believe has the potential to be effective in examining the resting state activities of the brain in different stages of consciousness by allowing the proper identification of vegetative and minimally conscious patients. As a result, we try to identify clinical evaluation scales and microstate characteristics with resting state EEGs from individuals with disorders of consciousness. Our prospective observational study included 28 individuals with a disorder of consciousness. Control group included 18 healthy subjects with proper EEG data. We made clinical evaluations using patient behavior scales. We also analyzed the EEGs using microstate analysis. In our study, microstate D coverage differed substantially between vegetative and minimally conscious state patients. Also, there was a strong connection between microstate D characteristics and clinical scale scores. Consequently, we have demonstrated that the most accurate parameter for representing consciousness level is microstate D. Microstate analysis appears to be a strong option for future use in the diagnosis, follow-up, and treatment response of patients with Disorders of Consciousness.
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Affiliation(s)
- Eren Toplutaş
- Department of Neurology, Istanbul Eyupsultan Public Hospital, Istanbul, Turkey.
- Program of Neuroscience Ph.D., Graduate School of Health Sciences,, Istanbul Medipol University, Istanbul, Turkey.
| | - Fatma Aydın
- Program of Neuroscience Ph.D., Graduate School of Health Sciences,, Istanbul Medipol University, Istanbul, Turkey
| | - Lütfü Hanoğlu
- Department of Neurology, School of Medicine, Istanbul Medipol University, Istanbul, Turkey
- Neuroimaging and Neuromodulation Lab, Clinical Electrophysiology, REMER, Istanbul Medipol University, Istanbul, Turkey
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17
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Aklepi G, Manolovitz B, Robayo LE, Sarafraz A, Blandino CF, Arwari B, Sobczak E, Bass D, Ghamasaee P, Bolaños Saavedra A, Samano D, Massad N, Kottapally M, Merenda A, Dib S, Dietrich WD, Rundek T, O'Phelan KH, Claassen J, Walker MF, Alkhachroum A. Covert Tracking to Immersive Stimuli in Traumatic Brain Injury Subjects With Disorders of Consciousness. J Neurotrauma 2024; 41:646-659. [PMID: 37624747 PMCID: PMC11265640 DOI: 10.1089/neu.2023.0188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/27/2023] Open
Abstract
Eye tracking assessments are clinician dependent and can contribute to misclassification of coma. We investigated responsiveness to videos with and without audio in traumatic brain injury (TBI) subjects using video eye-tracking (VET). We recruited 20 healthy volunteers and 10 unresponsive TBI subjects. Clinicians were surveyed whether the subject was tracking on their bedside assessment. The Coma Recovery Scale-Revised (CRS-R) was also performed. Eye movements in response to three different 30-second videos with and without sound were recorded using VET. The videos consisted of moving characters (a dancer, a person skateboarding, and Spiderman). Tracking on VET was defined as visual fixation on the character and gaze movement in the same direction of the character on two separate occasions. Subjects were classified as "covert tracking" (tracking using VET only), "overt tracking" (VET and clinical exam by clinicians), and "no tracking". A k-nearest-neighbors model was also used to identify tracking computationally. Thalamocortical connectivity and structural integrity were evaluated with EEG and MRI. The ability to obey commands was evaluated at 6- and 12-month follow-up. The average age was 29 (± 17) years old. Three subjects demonstrated "covert tracking" (CRS-R of 6, 8, 7), two "overt tracking" (CRS-R 22, 11), and five subjects "no tracking" (CRS-R 8, 6, 5, 6, 7). Among the 84 tested trials in all subjects, 11 trials (13%) met the criteria for "covert tracking". Using the k-nearest approach, 14 trials (17%) were classified as "covert tracking". Subjects with "tracking" had higher thalamocortical connectivity, and had fewer structures injured in the eye-tracking network than those without tracking. At follow-up, 2 out of 3 "covert" and all "overt" subjects recovered consciousness versus only 2 subjects in the "no tracking" group. Immersive stimuli may serve as important objective tools to differentiate subtle tracking using VET.
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Affiliation(s)
- Gabriela Aklepi
- Department of Neurology, University of Miami, Miami, Florida, USA
- Jackson Memorial Hospital, Miami, Florida, USA
| | - Brian Manolovitz
- Department of Neurology, University of Miami, Miami, Florida, USA
| | - Linda E. Robayo
- Neuroscience Graduate Program, University of Miami, Miami, Florida, USA
- The Miami Project to Cure Paralysis, University of Miami, Miami, Florida, USA
| | - Amin Sarafraz
- Center for Computational Science, University of Miami, Miami, Florida, USA
| | | | - Brian Arwari
- Department of Kinesiology and Sport Sciences, University of Miami, Miami, Florida, USA
| | - Evie Sobczak
- Department of Neurology, University of Miami, Miami, Florida, USA
- Jackson Memorial Hospital, Miami, Florida, USA
| | - Danielle Bass
- Department of Neurology, University of Miami, Miami, Florida, USA
- Jackson Memorial Hospital, Miami, Florida, USA
| | - Pardis Ghamasaee
- Department of Neurology, University of Miami, Miami, Florida, USA
- Jackson Memorial Hospital, Miami, Florida, USA
| | - Ana Bolaños Saavedra
- Department of Neurology, University of Miami, Miami, Florida, USA
- Jackson Memorial Hospital, Miami, Florida, USA
| | - Daniel Samano
- Department of Neurology, University of Miami, Miami, Florida, USA
- Jackson Memorial Hospital, Miami, Florida, USA
| | - Nina Massad
- Department of Neurology, University of Miami, Miami, Florida, USA
- Jackson Memorial Hospital, Miami, Florida, USA
| | - Mohan Kottapally
- Department of Neurology, University of Miami, Miami, Florida, USA
- Jackson Memorial Hospital, Miami, Florida, USA
| | - Amedeo Merenda
- Department of Neurology, University of Miami, Miami, Florida, USA
- Jackson Memorial Hospital, Miami, Florida, USA
| | - Salim Dib
- Department of Neurology, University of Miami, Miami, Florida, USA
- Jackson Memorial Hospital, Miami, Florida, USA
| | - W. Dalton Dietrich
- Neuroscience Graduate Program, University of Miami, Miami, Florida, USA
- The Miami Project to Cure Paralysis, University of Miami, Miami, Florida, USA
| | - Tatjana Rundek
- Department of Neurology, University of Miami, Miami, Florida, USA
- Jackson Memorial Hospital, Miami, Florida, USA
| | - Kristine H. O'Phelan
- Department of Neurology, University of Miami, Miami, Florida, USA
- Jackson Memorial Hospital, Miami, Florida, USA
| | - Jan Claassen
- Department of Neurology, Columbia University, New York, New York, USA
| | - Mark F. Walker
- Department of Neurology, Case Western Reserve University, Louis Stokes Cleveland VA Medical Center, Cleveland, Ohio, USA
| | - Ayham Alkhachroum
- Department of Neurology, University of Miami, Miami, Florida, USA
- Jackson Memorial Hospital, Miami, Florida, USA
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18
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Llorens R, Ippoliti C, Navarro MD, Colomer C, Maza A, Goizueta S, Olaya J, Moliner B, Ferri J, Noé E. Minimally conscious state plus versus minus: Likelihood of emergence and long-term functional independence. Ann Clin Transl Neurol 2024; 11:719-728. [PMID: 38366789 DOI: 10.1002/acn3.51993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 12/07/2023] [Accepted: 01/01/2024] [Indexed: 02/18/2024] Open
Abstract
OBJECTIVE Severe brain injuries can result in disorders of consciousness, such as the Minimally Conscious State (MCS), where individuals display intermittent yet discernible signs of conscious awareness. The varied levels of responsiveness and awareness observed in this state have spurred the progressive delineation of two subgroups within MCS, termed "plus" (MCS+) and "minus" (MCS-). However, the clinical validity of these classifications remains uncertain. This study aimed to investigate and compare the likelihood of emergence from MCS, as well as the functional independence after emergence, in individuals categorized as in MCS+ and MCS-. METHODS Demographic and behavioral data of 80 participants, admitted as either in MCS+ (n = 30) or MCS- (n = 50) to a long-term neurorehabilitation unit, were retrospectively analyzed. The neurobehavioral condition of each participant was evaluated weekly until discharge, demise, or emergence from MCS. The functional independence of those participants who emerged from MCS was assessed 6 months after emergence. RESULTS While only about half of the individuals classified as in MCS- (n = 24) emerged from the MCS, all those admitted as in MCS+ did, and in a shorter postinjury period. Despite these differences, all individuals who emerged from the MCS demonstrated similar high disability and low functional independence 6 months after emergence, regardless of their state at admission. INTERPRETATION Individuals classified as MCS+ exhibited a higher likelihood of emergence and a shorter time to emergence compared to those in MCS-. However, the level of functional independence 6 months after emergence was found to be unrelated to the initial state at admission.
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Affiliation(s)
- Roberto Llorens
- Neurorehabilitation and Brain Research Group, Universitat Politècnica de València, València, Spain
| | - Camilla Ippoliti
- SC Neurologia, Salute Pubblica, Disabilità - Fondazione IRCCS Istituto Neurologico Carlo Besta, Milano, Italy
| | | | - Carolina Colomer
- IRENEA, Instituto de Rehabilitación Neurológica, Fundación Vithas, València, Spain
| | - Anny Maza
- Neurorehabilitation and Brain Research Group, Universitat Politècnica de València, València, Spain
| | - Sandra Goizueta
- Neurorehabilitation and Brain Research Group, Universitat Politècnica de València, València, Spain
| | - José Olaya
- IRENEA, Instituto de Rehabilitación Neurológica, Fundación Vithas, València, Spain
| | - Belén Moliner
- IRENEA, Instituto de Rehabilitación Neurológica, Fundación Vithas, València, Spain
| | - Joan Ferri
- IRENEA, Instituto de Rehabilitación Neurológica, Fundación Vithas, València, Spain
| | - Enrique Noé
- IRENEA, Instituto de Rehabilitación Neurológica, Fundación Vithas, València, Spain
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19
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Yan Y, Li M, Cai T, Wang X, Dong Y, Hu X, Laureys S, Gosseries O, Grégoire C, Di H. Mood assessments of family caregivers of patients with severe brain injury in China. Qual Life Res 2024; 33:481-490. [PMID: 37971668 DOI: 10.1007/s11136-023-03539-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/04/2023] [Indexed: 11/19/2023]
Abstract
OBJECTIVES Long-term care of severe brain injury patients places a significant mental burden on family caregivers, yet few studies have reported the situation in China. We aimed to describe the mood states of family caregivers of patients with severe brain injury and examine the influencing factors that affect caregivers' moods. METHODS Cross-sectional survey was used to assess the mood profiles of Chinese family caregivers between February 2019 and February 2020. Demographic data of caregivers and patients, the Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder scale (GAD-7) were used to assess the level of depressive and anxiety symptoms. The quality of life score was also assessed by a visual analog scale, and the Coma Recovery Scale-Revised was used to assess the patient's consciousness. RESULT One hundred and one patients with severe brain injury (57 unresponsive wakefulness syndrome, UWS) between the age of 14 and 70 and their main family caregivers were enrolled in the study. Most caregivers displayed depressive (n = 62) and anxiety symptoms (n = 65), with 17 and 20 of these family caregivers reporting (moderately) severe depressive symptom and severe anxiety symptom, respectively. The caregiver's depressive symptom level significantly decreased as the patient's injury lasted longer (r = - 0.208, P = 0.037). Moreover, the age of the patient negatively related to the levels of depressive (r = - 0.310, P = 0.002) and anxiety symptoms (r = - 0.289, P = 0.003) in caregivers. There was a significant positive correlation between anxiety and depressive symptoms scores in family caregivers (r = 0.838, P < 0.001). The higher the level of anxiety (r = - 0.273, P = 0.006) and depressive symptoms (r = - 0.265, P = 0.007), the worse the quality of life. CONCLUSION Many family caregivers of patients with severe brain injury experience various levels of anxiety and depressive symptoms in China. Tailor-made psychological help seems imperative. Researchers and doctors can provide information about patient's conditions to assist family members in discussing rehabilitation options for patients in different states of consciousness will help to ease anxiety of family caregivers.
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Affiliation(s)
- Yifan Yan
- International Vegetative State and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, China
- School of Public Health, Zhejiang University, Hangzhou, China
| | - Meiqi Li
- International Vegetative State and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, China
- School of Nursing, Hangzhou Normal University, Hangzhou, China
| | - Tiantian Cai
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xueying Wang
- International Vegetative State and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, China
| | - Yan Dong
- Department of Rehabilitation, Hospital of Zhejiang People's Armed Police, Hangzhou, China.
| | - Xiaohua Hu
- Department of Rehabilitation, Hospital of Zhejiang People's Armed Police, Hangzhou, China
| | - Steven Laureys
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium
- Centre du Cerveau, University Hospital of Liège, Liège, Belgium
- Joint International Research Unit on Consciousness, CERVO Brain Research Centre, Laval University, Québec, Canada
| | - Olivia Gosseries
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium
- Centre du Cerveau, University Hospital of Liège, Liège, Belgium
| | - Charlotte Grégoire
- Sensation and Perception Research Group, GIGA-Consciousness, University of Liège, Liège, Belgium
| | - Haibo Di
- International Vegetative State and Consciousness Science Institute, Hangzhou Normal University, Hangzhou, China.
- School of Basic Medicine, Hangzhou Normal University, Hangzhou, China.
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20
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Magliacano A, De Bellis F, Panico F, Sagliano L, Trojano L, Sandroni C, Estraneo A. Long-term clinical evolution of patients with prolonged disorders of consciousness due to severe anoxic brain injury: A meta-analytic study. Eur J Neurol 2023; 30:3913-3927. [PMID: 37246500 DOI: 10.1111/ene.15899] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 05/08/2023] [Accepted: 05/24/2023] [Indexed: 05/30/2023]
Abstract
BACKGROUND AND PURPOSE The prognosis of prolonged (28 days to 3 months post-onset) disorders of consciousness (pDoC) due to anoxic brain injury is uncertain. The present study aimed to evaluate the long-term outcome of post-anoxic pDoC and identify the possible predictive value of demographic and clinical information. METHOD This is a systematic review and meta-analysis. The rates of mortality, any improvement in clinical diagnosis, and recovery of full consciousness at least 6 months after severe anoxic brain injury were evaluated. A cross-sectional approach searched for differences in baseline demographic and clinical characteristics between survivors and non-survivors, patients improved versus not improved, and patients who recovered full consciousness versus not recovered. RESULTS Twenty-seven studies were identified. The pooled rates of mortality, any clinical improvement and recovery of full consciousness were 26%, 26% and 17%, respectively. Younger age, baseline diagnosis of minimally conscious state versus vegetative state/unresponsive wakefulness syndrome, higher Coma Recovery Scale Revised total score, and earlier admission to intensive rehabilitation units were associated with a significantly higher likelihood of survival and clinical improvement. These same variables, except time of admission to rehabilitation, were also associated with recovery of full consciousness. CONCLUSIONS Patients with anoxic pDoC might improve over time up to full recovery of consciousness and some clinical characteristics can help predict clinical improvement. These new insights could support clinicians and caregivers in the decision-making on patient management.
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Affiliation(s)
| | - Francesco De Bellis
- Polo specialistico riabilitativo, Fondazione Don Carlo Gnocchi, Sant'Angelo dei Lombardi, Italy
| | - Francesco Panico
- Department of Psychology, University of Campania Luigi Vanvitelli, Caserta, Italy
| | - Laura Sagliano
- Department of Psychology, University of Campania Luigi Vanvitelli, Caserta, Italy
| | - Luigi Trojano
- Department of Psychology, University of Campania Luigi Vanvitelli, Caserta, Italy
| | - Claudio Sandroni
- Department of Intensive Care, Emergency Medicine and Anaesthesiology, Fondazione Policlinico Universitario 'Agostino Gemelli' IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Anna Estraneo
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Florence, Italy
- SM Della Pietà General Hospital, Nola, Italy
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21
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Gobert F, Corneyllie A, Bastuji H, Berthomier C, Thevenet M, Abernot J, Raverot V, Dailler F, Guérin C, Gronfier C, Luauté J, Perrin F. Twenty-four-hour rhythmicities in disorders of consciousness are associated with a favourable outcome. Commun Biol 2023; 6:1213. [PMID: 38030756 PMCID: PMC10687012 DOI: 10.1038/s42003-023-05588-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 11/15/2023] [Indexed: 12/01/2023] Open
Abstract
Fluctuations of consciousness and their rhythmicities have been rarely studied in patients with a disorder of consciousness after acute brain injuries. 24-h assessment of brain (EEG), behaviour (eye-opening), and circadian (clock-controlled hormones secretion from urine) functions was performed in acute brain-injured patients. The distribution, long-term predictability, and rhythmicity (circadian/ultradian) of various EEG features were compared with the initial clinical status, the functional outcome, and the circadian rhythmicities of behaviour and clock-controlled hormones. Here we show that more physiological and favourable patterns of fluctuations are associated with a higher 24 h predictability and sharp up-and-down shape of EEG switches, reminiscent of the Flip-Flop model of sleep. Multimodal rhythmic analysis shows that patients with simultaneous circadian rhythmicity for brain, behaviour, and hormones had a favourable outcome. Finally, both re-emerging EEG fluctuations and homogeneous 24-h cycles for EEG, eye-opening, and hormones appeared as surrogates for preserved functionality in brainstem and basal forebrain, which are key prognostic factors for later improvement. While the recovery of consciousness has previously been related to a high short-term complexity, we suggest in this exploratory study the importance of the high predictability of the 24 h long-term generation of brain rhythms and highlight the importance of circadian body-brain rhythms in awakening.
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Affiliation(s)
- Florent Gobert
- Neuro-Intensive care unit, Hospices Civils de Lyon, Neurological hospital Pierre-Wertheimer, 59 Boulevard Pinel, Bron, France.
- Trajectoires Team, Lyon Neuroscience Research Centre (Université Claude Bernard Lyon 1, INSERM U1028, CNRS UMR5292), Bâtiment Inserm 16 avenue Doyen Lépine, Bron, France.
- CAP Team (Cognition Auditive et Psychoacoustique), Lyon Neuroscience Research Centre (Université Claude Bernard Lyon 1, INSERM U1028, CNRS UMR5292), 95 boulevard Pinel, Bron, France.
| | - Alexandra Corneyllie
- CAP Team (Cognition Auditive et Psychoacoustique), Lyon Neuroscience Research Centre (Université Claude Bernard Lyon 1, INSERM U1028, CNRS UMR5292), 95 boulevard Pinel, Bron, France
| | - Hélène Bastuji
- Sleep medicine centre, Hospices Civils de Lyon, Bron, F-69677, France
- Neuropain Team, Lyon Neuroscience Research Centre (Université Claude Bernard Lyon 1, INSERM U1028, CNRS UMR5292), 59 Boulevard Pinel, Bron, France
| | | | - Marc Thevenet
- CAP Team (Cognition Auditive et Psychoacoustique), Lyon Neuroscience Research Centre (Université Claude Bernard Lyon 1, INSERM U1028, CNRS UMR5292), 95 boulevard Pinel, Bron, France
| | - Jonas Abernot
- CAP Team (Cognition Auditive et Psychoacoustique), Lyon Neuroscience Research Centre (Université Claude Bernard Lyon 1, INSERM U1028, CNRS UMR5292), 95 boulevard Pinel, Bron, France
| | - Véronique Raverot
- Hormone Laboratory, Hospices Civils de Lyon, Neurological hospital Pierre-Wertheimer, 59 Boulevard Pinel, Bron, France
| | - Frédéric Dailler
- Neuro-Intensive care unit, Hospices Civils de Lyon, Neurological hospital Pierre-Wertheimer, 59 Boulevard Pinel, Bron, France
| | - Claude Guérin
- Intensive care unit, Hospices Civils de Lyon, Croix-Rousse hospital, 103 Grande-Rue de la Croix-Rousse, Lyon, France
- Intensive care unit, Hospices Civils de Lyon, Édouard Herriot hospital, 5 Place d'Arsonval, 69003, Lyon, France
| | - Claude Gronfier
- Waking team (Integrative Physiology of the Brain Arousal Systems), Lyon Neuroscience Research Centre, INSERM UMRS 1028, CNRS UMR 5292, Université Claude Bernard Lyon 1, Université de Lyon, Lyon, France
| | - Jacques Luauté
- Trajectoires Team, Lyon Neuroscience Research Centre (Université Claude Bernard Lyon 1, INSERM U1028, CNRS UMR5292), Bâtiment Inserm 16 avenue Doyen Lépine, Bron, France
- Neuro-rehabilitation unit, Hospices Civils de Lyon, Neurological hospital Pierre-Wertheimer, 59 Boulevard Pinel, Bron, France
| | - Fabien Perrin
- CAP Team (Cognition Auditive et Psychoacoustique), Lyon Neuroscience Research Centre (Université Claude Bernard Lyon 1, INSERM U1028, CNRS UMR5292), 95 boulevard Pinel, Bron, France
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22
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Overbeek BUH, van Erp WS, Eilander HJ, Koopmans RTCM, Lavrijsen JCM. Prevalence of the Minimally Conscious State Among Institutionalized Patients in the Netherlands: A Nationwide Study. Neurology 2023; 101:e2005-e2013. [PMID: 37857492 PMCID: PMC10662977 DOI: 10.1212/wnl.0000000000207820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 08/03/2023] [Indexed: 10/21/2023] Open
Abstract
BACKGROUND AND OBJECTIVES The minimally conscious state (MCS) is a prolonged disorder of consciousness (pDoC) and one of the most severe outcomes of acquired brain injury. Prevalence data are scarce. The aim of this study was to establish the nationwide point prevalence of institutionalized patients in MCS in the Netherlands. METHODS This was a descriptive cross-sectional study in which all 86 Dutch hospitals, all 5 specialized pDoC rehabilitation facilities, and all 274 nursing homes were asked whether they were treating patients with a pDoC on the point prevalence date of September 15, 2021. Each patient's legal representative provided informed consent for their inclusion. Patient level of consciousness was verified using the Coma Recovery Scale-Revised (CRS-R) in a single assessment session performed in the facility of residence by an experienced physician. Data on patient demographics, etiology, level of consciousness, facility of residence, and clinical status were collected from a questionnaire by the treating physician. The prevalence of institutionalized patients in MCS of per 100,000 members of the Dutch population was calculated, based on actual census data. RESULTS Seventy patients were reported to have a pDoC, of whom 6 were excluded. The level of consciousness was verified for 49 patients while for 15, it could not be verified. Of the patients verified, 38 had a pDoC, of whom 32 were in MCS (mean age 44.8 years, 68.8% male). The prevalence of institutionalized patients in MCS is 0.2-0.3 per 100,000 Dutch inhabitants. Traumatic brain injury was present in 21 of 32 patients (65.6%). Specialized pDoC rehabilitation was received by 17 of 32 patients (53%), with the rest admitted to nursing homes. The most frequent signs of consciousness on the CRS-R were visual pursuit, reproducible movement to command, and automatic motor response. DISCUSSION This nationwide study revealed a low prevalence of institutionalized patients in MCS in the Netherlands. These findings are now being used to organize pDoC care in this country.
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Affiliation(s)
- Berno U H Overbeek
- From the Department of Primary and Community Care (B.U.H.O., W.S.v.E., H.J.E., R.T.C.M.K., J.C.M.L.), Radboud University Medical Center, Research Institute of Medical Innovation; Kalorama (B.U.H.O.), Beek-Ubbergen; Azora (B.U.H.O.), Terborg; Accolade Zorg (W.S.v.E.), Bosch en Duin; Libra Rehabilitation & Audiology (W.S.v.E.), Tilburg; and Joachim and Anna, Center for Specialized Geriatric Care (R.T.C.M.K.), Nijmegen, the Netherlands.
| | - Willemijn S van Erp
- From the Department of Primary and Community Care (B.U.H.O., W.S.v.E., H.J.E., R.T.C.M.K., J.C.M.L.), Radboud University Medical Center, Research Institute of Medical Innovation; Kalorama (B.U.H.O.), Beek-Ubbergen; Azora (B.U.H.O.), Terborg; Accolade Zorg (W.S.v.E.), Bosch en Duin; Libra Rehabilitation & Audiology (W.S.v.E.), Tilburg; and Joachim and Anna, Center for Specialized Geriatric Care (R.T.C.M.K.), Nijmegen, the Netherlands
| | - Henk J Eilander
- From the Department of Primary and Community Care (B.U.H.O., W.S.v.E., H.J.E., R.T.C.M.K., J.C.M.L.), Radboud University Medical Center, Research Institute of Medical Innovation; Kalorama (B.U.H.O.), Beek-Ubbergen; Azora (B.U.H.O.), Terborg; Accolade Zorg (W.S.v.E.), Bosch en Duin; Libra Rehabilitation & Audiology (W.S.v.E.), Tilburg; and Joachim and Anna, Center for Specialized Geriatric Care (R.T.C.M.K.), Nijmegen, the Netherlands
| | - Raymond T C M Koopmans
- From the Department of Primary and Community Care (B.U.H.O., W.S.v.E., H.J.E., R.T.C.M.K., J.C.M.L.), Radboud University Medical Center, Research Institute of Medical Innovation; Kalorama (B.U.H.O.), Beek-Ubbergen; Azora (B.U.H.O.), Terborg; Accolade Zorg (W.S.v.E.), Bosch en Duin; Libra Rehabilitation & Audiology (W.S.v.E.), Tilburg; and Joachim and Anna, Center for Specialized Geriatric Care (R.T.C.M.K.), Nijmegen, the Netherlands
| | - Jan C M Lavrijsen
- From the Department of Primary and Community Care (B.U.H.O., W.S.v.E., H.J.E., R.T.C.M.K., J.C.M.L.), Radboud University Medical Center, Research Institute of Medical Innovation; Kalorama (B.U.H.O.), Beek-Ubbergen; Azora (B.U.H.O.), Terborg; Accolade Zorg (W.S.v.E.), Bosch en Duin; Libra Rehabilitation & Audiology (W.S.v.E.), Tilburg; and Joachim and Anna, Center for Specialized Geriatric Care (R.T.C.M.K.), Nijmegen, the Netherlands
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23
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Carlson JM, Lin DJ. Prognostication in Prolonged and Chronic Disorders of Consciousness. Semin Neurol 2023; 43:744-757. [PMID: 37758177 DOI: 10.1055/s-0043-1775792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
Patients with prolonged disorders of consciousness (DOCs) longer than 28 days may continue to make significant gains and achieve functional recovery. Occasionally, this recovery trajectory may extend past 3 (for nontraumatic etiologies) and 12 months (for traumatic etiologies) into the chronic period. Prognosis is influenced by several factors including state of DOC, etiology, and demographics. There are several testing modalities that may aid prognostication under active investigation including electroencephalography, functional and anatomic magnetic resonance imaging, and event-related potentials. At this time, only one treatment (amantadine) has been routinely recommended to improve functional recovery in prolonged DOC. Given that some patients with prolonged or chronic DOC have the potential to recover both consciousness and functional status, it is important for neurologists experienced in prognostication to remain involved in their care.
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Affiliation(s)
- Julia M Carlson
- Division of Neurocritical Care, Department of Neurology, University of North Carolina Hospital, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - David J Lin
- Center for Neurotechnology and Neurorecovery, Division of Neurocritical Care and Stroke Service, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Center for Neurorestoration and Neurotechnology, Rehabilitation Research and Development Service, Department of Veterans Affairs, Providence, Rhode Island
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24
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Cortese MD, Vatrano M, Arcuri F, Raso MG, Tonin P, Calabrò RS, Riganello F. Behavioral scales variability in patients with prolonged disorders of consciousness. Neurol Sci 2023; 44:3107-3122. [PMID: 37087504 PMCID: PMC10122542 DOI: 10.1007/s10072-023-06812-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 04/10/2023] [Indexed: 04/24/2023]
Abstract
BACKGROUND The principal conditions differentiating disorders of consciousness (DOC) patients are the unresponsive wakefulness syndrome/vegetative state (UWS/VS) and the minimally conscious state (MCS). Many individuals who suffer from sudden-onset severe brain injury move through stages of UWS/VS and MCS before regaining full awareness. In some patients, the DOC condition is protracted for years (PDOC). In this study, we observed PDOC patients for 6 months to assess possible changes in their level of consciousness. METHODS We enrolled 40 PDOC patients, 23 UWS/VS and 17 MCS hosted in a dedicated unit for long-term brain injury care. The time from injury was 472 ± 533 days for UWS/VS and 1090 ± 1079 days for MCS. The Wessex Head Injury Matrix (WHIM), Coma Recovery Scale-R (CRS-R), and Nociception Coma Scale were administered monthly for 6 months. RESULTS During the period of assessment, the percentage of UWS/VS shifted from 58 to 45%, while for the MCS, from 42 to 55%. A positive correlation was found for the UWS/VS patients between the months of observation with the CRS-R total score and WHIM total numbers of behaviors (TNB). In the UWS/VS group, the CRS-R auditive and visual subscales correlated positively with the observation time. During the whole period of observation, 8 patients had constant CRS-R total scores while the WHIM TNB changed in 7 of them. CONCLUSION Our findings demonstrated that the monthly assessment of PDOC by means of the CRS-R and WHIM was able to detect also subtle changes in consciousness level.
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Affiliation(s)
- Maria Daniela Cortese
- S. Anna Institute, Research in Advanced Neurorehabilitation, Via Siris 11, 88900, Crotone, Italy
| | - Martina Vatrano
- S. Anna Institute, Research in Advanced Neurorehabilitation, Via Siris 11, 88900, Crotone, Italy
| | - Francesco Arcuri
- S. Anna Institute, Research in Advanced Neurorehabilitation, Via Siris 11, 88900, Crotone, Italy
| | - Maria Girolama Raso
- S. Anna Institute, Research in Advanced Neurorehabilitation, Via Siris 11, 88900, Crotone, Italy
| | - Paolo Tonin
- S. Anna Institute, Research in Advanced Neurorehabilitation, Via Siris 11, 88900, Crotone, Italy
| | | | - Francesco Riganello
- S. Anna Institute, Research in Advanced Neurorehabilitation, Via Siris 11, 88900, Crotone, Italy.
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25
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Siegert RJ, Narayanan A, Turner-Stokes L. Prediction of emergence from prolonged disorders of consciousness from measures within the UK rehabilitation outcomes collaborative database: a multicentre analysis using machine learning. Disabil Rehabil 2023; 45:2906-2914. [PMID: 36031885 PMCID: PMC9612927 DOI: 10.1080/09638288.2022.2114017] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 08/09/2022] [Accepted: 08/13/2022] [Indexed: 11/11/2022]
Abstract
PURPOSE Predicting emergence from prolonged disorders of consciousness (PDOC) is important for planning care and treatment. We used machine learning to examine which variables from routine clinical data on admission to specialist rehabilitation units best predict emergence by discharge. MATERIALS AND METHODS A multicentre national cohort analysis of prospectively collected clinical data from the UK Rehabilitation Outcomes (UKROC) database 2010-2018. Patients (n = 1170) were operationally defined as "still in PDOC" or "emerged" by their total UK Functional Assessment Measure (FIM + FAM) discharge score. Variables included: Age, aetiology, length of stay, time since onset, and all items of the Neurological Impairment Scale, Rehabilitation Complexity Scale, Northwick Park Dependency Scale, and the Patient Categorisation Tool. After filtering, prediction of emergence was explored using four techniques: binary logistic regression, linear discriminant analysis, artificial neural networks, and rule induction. RESULTS Triangulation through these techniques consistently identified characteristics associated with emergence from PDOC. More severe motor impairment, complex disability, medical and behavioural instability, and anoxic aetiology were predictive of non-emergence, whereas those with less severe motor impairment, agitated behaviour and complex disability were predictive of emergence. CONCLUSIONS This initial exploration demonstrates the potential opportunities to enhance prediction of outcome using machine learning techniques to explore routinely collected clinical data. Implications for rehabilitationPredicting emergence from prolonged disorders of consciousness is important for planning care and treatment.Few evidence-based criteria exist for aiding clinical decision-making and existing criteria are mostly based upon acute admission data.Whilst acknowledging the limitations of using proxy data for diagnosis of emergence, this study suggests that key items from the UKROC dataset, routinely collected on admission to specialist rehabilitation some months post injury, may help to predict those patients who are more (or less) likely to regain consciousness.Machine learning can help to enhance our understanding of the best predictors of outcome and thus assist with clinical decision-making in PDOC.
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Affiliation(s)
- Richard J. Siegert
- School of Clinical Sciences, Auckland University of Technology, Auckland, New Zealand
| | - Ajit Narayanan
- School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand
| | - Lynne Turner-Stokes
- Department of Palliative Care, Policy and Rehabilitation, Faculty of Life Sciences and Medicine, King’s College London, London, UK
- Regional Hyper-acute Rehabilitation Unit, Northwick Park Hospital, London North West University Healthcare NHS Trust, London, UK
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26
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Onami S, Tran D, Koh-Pham C, Shih W, Chi B, Peng J, Shavlik D, Singh P, Giacino J. Coma Recovery Scale-Revised Predicts Disability Rating Scale in Acute Rehabilitation of Severe Traumatic Brain Injury. Arch Phys Med Rehabil 2023; 104:1054-1061. [PMID: 36736600 PMCID: PMC10404472 DOI: 10.1016/j.apmr.2023.01.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 12/19/2022] [Accepted: 01/04/2023] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To explore the prognostic value of the Coma Recovery Scale-Revised (CRS-R) in predicting disability outcomes in patients with severe traumatic brain injury using the Disability Rating Scale (DRS). DESIGN Secondary analysis including linear and logistic regressions were performed. SETTING Data were collected in a previous clinical trial. PARTICIPANTS One hundred eighty-four participants across 3 countries (N=184). MAIN OUTCOME MEASURES Disability Rating Scales. RESULTS Analyses showed an inverse relation between CRS-R scores obtained at baseline and change in DRS scores at 6 weeks. Similarly, changes in CRS-R scores between baseline and 4 weeks were also found to have an inverse relation to change in DRS scores at 6 weeks. CONCLUSIONS This study generates a tool that can be used to predict the probability that a patient with severe traumatic brain injury lands in 1 of 3 disability categories. The CRS-R may be useful in prognostication of disability in patients with severe traumatic brain injury.
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Affiliation(s)
- Susan Onami
- Physical Medicine & Rehabilitation, Loma Linda University, Loma Linda, CA
| | - Duc Tran
- Physical Medicine & Rehabilitation, Loma Linda University, Loma Linda, CA
| | - Christine Koh-Pham
- Physical Medicine & Rehabilitation, Loma Linda University, Loma Linda, CA.
| | - Wendy Shih
- Research Consulting Group, Loma Linda University School of Public Health, Loma Linda, CA
| | - Bradley Chi
- Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY
| | - Jiahao Peng
- Research Consulting Group, Loma Linda University School of Public Health, Loma Linda, CA
| | - David Shavlik
- Research Consulting Group, Loma Linda University School of Public Health, Loma Linda, CA
| | - Pramil Singh
- Research Consulting Group, Loma Linda University School of Public Health, Loma Linda, CA
| | - Joseph Giacino
- Physical Medicine & Rehabilitation, Spaulding Rehabilitation Hospital, Charleston, MA
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27
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Lindenbaum L, Steppacher I, Mehlmann A, Kissler JM. The effect of neural pre-stimulus oscillations on post-stimulus somatosensory event-related potentials in disorders of consciousness. Front Neurosci 2023; 17:1179228. [PMID: 37360157 PMCID: PMC10287968 DOI: 10.3389/fnins.2023.1179228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 05/22/2023] [Indexed: 06/28/2023] Open
Abstract
Brain activity of people in a disorder of consciousness (DoC) is diffuse and different from healthy people. In order to get a better understanding of their cognitive processes and functions, electroencephalographic activity has often been examined in patients with DoC, including detection of event-related potentials (ERPs) and spectral power analysis. However, the relationship between pre-stimulus oscillations and post-stimulus ERPs has rarely been explored in DoC, although it is known from healthy participants that pre-stimulus oscillations predispose subsequent stimulus detection. Here, we examine to what extent pre-stimulus electroencephalography band power in DoC relates to post-stimulus ERPs in a similar way as previously documented in healthy people. 14 DoC patients in an unresponsive wakefulness syndrome (UWS, N = 2) or a minimally conscious state (MCS, N = 12) participated in this study. In an active oddball paradigm patients received vibrotactile stimuli. Significant post-stimulus differences between brain responses to deviant and standard stimulation could be found in six MCS patients (42.86%). Regarding relative pre-stimulus frequency bands, delta oscillations predominated in most patients, followed by theta and alpha, although two patients showed a relatively normal power spectrum. The statistical analysis of the relationship between pre-stimulus power and post-stimulus event-related brain response showed multiple significant correlations in five out of the six patients. Individual results sometimes showed similar correlation patterns as in healthy subjects primarily between the relative pre-stimulus alpha power and post-stimulus variables in later time-intervals. However, opposite effects were also found, indicating high inter-individual variability in DoC patients´ functional brain activity. Future studies should determine on an individual level to what extent the relationship between pre- and post-stimulus brain activity could relate to the course of the disorder.
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Affiliation(s)
- Laura Lindenbaum
- Department of Psychology, Bielefeld University, Bielefeld, Germany
- Center for Cognitive Interaction Technology (CITEC), Bielefeld University, Bielefeld, Germany
| | - Inga Steppacher
- Department of Psychology, Bielefeld University, Bielefeld, Germany
| | | | - Johanna Maria Kissler
- Department of Psychology, Bielefeld University, Bielefeld, Germany
- Center for Cognitive Interaction Technology (CITEC), Bielefeld University, Bielefeld, Germany
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Bodien YG, Barber J, Taylor SR, Boase K, Corrigan JD, Dikmen S, Gardner RC, Kramer JH, Levin H, Machamer J, McAllister T, Nelson LD, Ngwenya LB, Sherer M, Stein MB, Vassar M, Whyte J, Yue JK, Markowitz A, McCrea MA, Manley GT, Temkin N, Giacino JT. Feasibility and Utility of a Flexible Outcome Assessment Battery for Longitudinal Traumatic Brain Injury Research: A TRACK-TBI Study. J Neurotrauma 2023; 40:337-348. [PMID: 36097759 PMCID: PMC9902043 DOI: 10.1089/neu.2022.0141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
The effects of traumatic brain injury (TBI) are difficult to measure in longitudinal cohort studies, because disparate pre-injury characteristics and injury mechanisms produce variable impairment profiles and recovery trajectories. In preparation for the Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study, which followed patients with injuries ranging from uncomplicated mild TBI to coma, we designed a multi-dimensional Flexible outcome Assessment Battery (FAB). The FAB relies on a decision-making algorithm that assigns participants to a Comprehensive (CAB) or Abbreviated Assessment Battery (AAB) and guides test selection across all phases of recovery. To assess feasibility of the FAB, we calculated the proportion of participants followed at 2 weeks (2w) and at 3, 6, and 12 months (3m, 6m, 12m) post-injury who completed the FAB and received valid scores. We evaluated utility of the FAB by examining differences in 6m and 12m Glasgow Outcome Scale-Extended (GOSE) scores between participant subgroups derived from the FAB-enabled versus traditional approach to outcome assessment applied at 2w. Among participants followed at 2w (n = 2094), 3m (n = 1871), 6m (n = 1736), and 12m (n = 1607) post-injury, 95-99% received valid completion scores on the FAB, in full or in part, either in person or by telephone. Level of function assessed by the FAB-enabled approach at 2w was associated with 6m and 12m GOSE scores (proportional odds p < 0.001). These findings suggest that the participant classification methodology afforded by the FAB may enable more effective data collection to improve detection of natural history changes and TBI treatment effects.
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Affiliation(s)
- Yelena G. Bodien
- Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Spaulding Rehabilitation Hospital, Charlestown, Massachusetts, USA
| | - Jason Barber
- University of Washington, Seattle, Washington, USA
| | - Sabrina R. Taylor
- University of California, San Francisco, San Francisco, California, USA
| | - Kim Boase
- University of Washington, Seattle, Washington, USA
| | | | | | - Raquel C. Gardner
- University of California, San Francisco, San Francisco, California, USA
| | - Joel H. Kramer
- University of California, San Francisco, San Francisco, California, USA
| | | | | | - Thomas McAllister
- University of Indiana School of Medicine, Indianapolis, Indiana, USA
| | | | | | - Mark Sherer
- Baylor College of Medicine, Houston, Texas, USA
- TIRR Memorial Hermann, Houston, Texas, USA
| | - Murray B. Stein
- University of California San Diego, La Jolla, California, USA
| | - Mary Vassar
- University of California, San Francisco, San Francisco, California, USA
| | - John Whyte
- Moss Rehabilitation Research Institute, Elkins Park, Pennsylvania, USA
| | - John K. Yue
- University of California, San Francisco, San Francisco, California, USA
| | - Amy Markowitz
- University of California, San Francisco, San Francisco, California, USA
| | | | | | - Nancy Temkin
- University of Washington, Seattle, Washington, USA
| | - Joseph T. Giacino
- Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Spaulding Rehabilitation Hospital, Charlestown, Massachusetts, USA
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29
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Mélotte E, Maudoux A, Panda R, Kaux JF, Lagier A, Herr R, Belorgeot M, Laureys S, Gosseries O. Links Between Swallowing and Consciousness: A Narrative Review. Dysphagia 2023; 38:42-64. [PMID: 35773497 DOI: 10.1007/s00455-022-10452-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 12/06/2021] [Indexed: 01/27/2023]
Abstract
This literature review explores a wide range of themes addressing the links between swallowing and consciousness. Signs of consciousness are historically based on the principle of differentiating reflexive from volitional behaviors. We show that the sequencing of the components of swallowing falls on a continuum of voluntary to reflex behaviors and we describe several types of volitional and non-volitional swallowing tasks. The frequency, speed of initiation of the swallowing reflex, efficacy of the pharyngeal phase of swallowing and coordination between respiration and swallowing are influenced by the level of consciousness during non-pathological modifications of consciousness such as sleep and general anesthesia. In patients with severe brain injury, the level of consciousness is associated with several components related to swallowing, such as the possibility of extubation, risk of pneumonia, type of feeding or components directly related to swallowing such as oral or pharyngeal abnormalities. Based on our theoretical and empirical analysis, the efficacy of the oral phase and the ability to receive exclusive oral feeding seem to be the most robust signs of consciousness related to swallowing in patients with disorders of consciousness. Components of the pharyngeal phase (in terms of abilities of saliva management) and evoked cough may be influenced by consciousness, but further studies are necessary to determine if they constitute signs of consciousness as such or only cortically mediated behaviors. This review also highlights the critical lack of tools and techniques to assess and treat dysphagia in patients with disorders of consciousness.
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Affiliation(s)
- Evelyne Mélotte
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium.
- Physical and Rehabilitation Medicine Department, University and University Hospital of Liège, Avenue de l'Hopital 1, 4000, Liège, Belgium.
- Centre du Cerveau², University Hospital of Liège, Liège, Belgium.
| | - Audrey Maudoux
- Sensation and Perception Research Group, GIGA, University and University Hospital of Liège, Liège, Belgium
- Otorhinolaryngology Head and Neck Surgery Department, Robert Debré University Hospital, APHP, Paris, France
| | - Rajanikant Panda
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium
| | - Jean-François Kaux
- Physical and Rehabilitation Medicine Department, University and University Hospital of Liège, Avenue de l'Hopital 1, 4000, Liège, Belgium
| | - Aude Lagier
- Otorhinolaryngology Head and Neck Surgery Department, University Hospital of Liège, Liège, Belgium
| | - Roxanne Herr
- Department of Speech and Language Pathology, Faculty of Medicine, University of Strasbourg, Strasbourg, France
| | - Marion Belorgeot
- Physical and Rehabilitation Medicine Department, University Hospital of Nîmes, Nîmes, France
| | - Steven Laureys
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium
- Centre du Cerveau², University Hospital of Liège, Liège, Belgium
| | - Olivia Gosseries
- Coma Science Group, GIGA-Consciousness, University of Liège, Liège, Belgium
- Centre du Cerveau², University Hospital of Liège, Liège, Belgium
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Long-Term Outcomes among Patients with Prolonged Disorders of Consciousness. Brain Sci 2023; 13:brainsci13020194. [PMID: 36831737 PMCID: PMC9954359 DOI: 10.3390/brainsci13020194] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 01/07/2023] [Accepted: 01/18/2023] [Indexed: 01/26/2023] Open
Abstract
PURPOSE To evaluate the long-term survival and functional outcomes of patients with prolonged disorders of consciousness (pDoC) 1-8 years after brain injuries. METHODS Retrospective study to assess the long-term survival and functional outcomes of patients with pDoC was conducted. We performed Cox regression and multivariate logistic regression to calculate hazard ratios (HRs) for the outcome of survival and to identify risk factors of the functional outcome. RESULTS We recruited 154 patients with pDoC. The duration of follow-up from disease onset was 1-8 years. The median age was 46 years (IQR, 32-59), and 65.6% (n = 101) of them were men. During the follow-up period, one hundred and ten patients (71.4%) survived; among them, 52 patients had a good outcome. From the overall survival curve, the 1-, 3-, and 8-year survival rates of patients were about 80.5%, 72.0%, and 69.7%, respectively. Cox regression analysis revealed a significant association between the lower APACHE II score (p = 0.005) (cut-off score ≥ 18) and the presence of sleep spindles (p = 0.001) with survival. Logistic regression analysis demonstrated a higher CRS-R score (cut-off score ≥ 7), and presence of sleep spindles were related to a favorable outcome among patients with pDoC. CONCLUSIONS Sleep spindles are correlated with both long-term survival and long-term functional outcome in pDoC patients.
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Xu C, Wu W, Zheng X, Liang Q, Huang X, Zhong H, Xiao Q, Lan Y, Bai Y, Xie Q. Repetitive transcranial magnetic stimulation over the posterior parietal cortex improves functional recovery in nonresponsive patients: A crossover, randomized, double-blind, sham-controlled study. Front Neurol 2023; 14:1059789. [PMID: 36873436 PMCID: PMC9978157 DOI: 10.3389/fneur.2023.1059789] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Accepted: 01/18/2023] [Indexed: 02/19/2023] Open
Abstract
Background Recent studies have shown that patients with disorders of consciousness (DoC) can benefit from repetitive transcranial magnetic stimulation (rTMS) therapy. The posterior parietal cortex (PPC) is becoming increasingly important in neuroscience research and clinical treatment for DoC as it plays a crucial role in the formation of human consciousness. However, the effect of rTMS on the PPC in improving consciousness recovery remains to be studied. Method We conducted a crossover, randomized, double-blind, sham-controlled clinical study to assess the efficacy and safety of 10 Hz rTMS over the left PPC in unresponsive patients. Twenty patients with unresponsive wakefulness syndrome were recruited. The participants were randomly divided into two groups: one group received active rTMS treatment for 10 consecutive days (n = 10) and the other group received sham treatment for the same period (n = 10). After a 10-day washout period, the groups crossed over and received the opposite treatment. The rTMS protocol involved the delivery of 2000 pulses/day at a frequency of 10 Hz, targeting the left PPC (P3 electrode sites) at 90% of the resting motor threshold. The primary outcome measure was the JFK Coma Recovery Scele-Revised (CRS-R), and evaluations were conducted blindly. EEG power spectrum assessments were also conducted simultaneously before and after each stage of the intervention. Result rTMS-active treatment resulted in a significant improvement in the CRS-R total score (F = 8.443, p = 0.009) and the relative alpha power (F = 11.166, p = 0.004) compared to sham treatment. Furthermore, 8 out of 20 patients classified as rTMS responders showed improvement and evolved to a minimally conscious state (MCS) as a result of active rTMS. The relative alpha power also significantly improved in responders (F = 26.372, p = 0.002) but not in non-responders (F = 0.704, p = 0.421). No adverse effects related to rTMS were reported in the study. Conclusions This study suggests that 10 Hz rTMS over the left PPC can significantly improve functional recovery in unresponsive patients with DoC, with no reported side effects. Clinical trial registration www.ClinicalTrials.gov, identifier: NCT05187000.
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Affiliation(s)
- Chengwei Xu
- Department of Rehabilitation Medicine, Joint Research Centre for Disorders of Consciousness, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Wanchun Wu
- Department of Rehabilitation Medicine, Joint Research Centre for Disorders of Consciousness, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Xiaochun Zheng
- Department of Rehabilitation Medicine, Joint Research Centre for Disorders of Consciousness, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Qimei Liang
- Department of Rehabilitation Medicine, Joint Research Centre for Disorders of Consciousness, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Xiyan Huang
- Department of Rehabilitation Medicine, Joint Research Centre for Disorders of Consciousness, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Haili Zhong
- Department of Rehabilitation Medicine, Joint Research Centre for Disorders of Consciousness, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Qiuyi Xiao
- Department of Rehabilitation Medicine, Joint Research Centre for Disorders of Consciousness, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Yue Lan
- Department of Rehabilitation Medicine, Joint Research Centre for Disorders of Consciousness, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Yang Bai
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China.,School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China
| | - Qiuyou Xie
- Department of Rehabilitation Medicine, Joint Research Centre for Disorders of Consciousness, Zhujiang Hospital of Southern Medical University, Guangzhou, China
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Benghanem S, Pruvost-Robieux E, Bouchereau E, Gavaret M, Cariou A. Prognostication after cardiac arrest: how EEG and evoked potentials may improve the challenge. Ann Intensive Care 2022; 12:111. [PMID: 36480063 PMCID: PMC9732180 DOI: 10.1186/s13613-022-01083-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 11/07/2022] [Indexed: 12/13/2022] Open
Abstract
About 80% of patients resuscitated from CA are comatose at ICU admission and nearly 50% of survivors are still unawake at 72 h. Predicting neurological outcome of these patients is important to provide correct information to patient's relatives, avoid disproportionate care in patients with irreversible hypoxic-ischemic brain injury (HIBI) and inappropriate withdrawal of care in patients with a possible favorable neurological recovery. ERC/ESICM 2021 algorithm allows a classification as "poor outcome likely" in 32%, the outcome remaining "indeterminate" in 68%. The crucial question is to know how we could improve the assessment of both unfavorable but also favorable outcome prediction. Neurophysiological tests, i.e., electroencephalography (EEG) and evoked-potentials (EPs) are a non-invasive bedside investigations. The EEG is the record of brain electrical fields, characterized by a high temporal resolution but a low spatial resolution. EEG is largely available, and represented the most widely tool use in recent survey examining current neuro-prognostication practices. The severity of HIBI is correlated with the predominant frequency and background continuity of EEG leading to "highly malignant" patterns as suppression or burst suppression in the most severe HIBI. EPs differ from EEG signals as they are stimulus induced and represent the summated activities of large populations of neurons firing in synchrony, requiring the average of numerous stimulations. Different EPs (i.e., somato sensory EPs (SSEPs), brainstem auditory EPs (BAEPs), middle latency auditory EPs (MLAEPs) and long latency event-related potentials (ERPs) with mismatch negativity (MMN) and P300 responses) can be assessed in ICU, with different brain generators and prognostic values. In the present review, we summarize EEG and EPs signal generators, recording modalities, interpretation and prognostic values of these different neurophysiological tools. Finally, we assess the perspective for futures neurophysiological investigations, aiming to reduce prognostic uncertainty in comatose and disorders of consciousness (DoC) patients after CA.
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Affiliation(s)
- Sarah Benghanem
- grid.411784.f0000 0001 0274 3893Medical ICU, Cochin Hospital, Assistance Publique – Hôpitaux de Paris (AP-HP), 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France ,grid.508487.60000 0004 7885 7602Medical School, University Paris Cité, Paris, France ,After ROSC Network, Paris, France ,grid.7429.80000000121866389UMR 1266, Institut de Psychiatrie et, INSERM FHU NeuroVascNeurosciences de Paris-IPNP, 75014 Paris, France
| | - Estelle Pruvost-Robieux
- grid.508487.60000 0004 7885 7602Medical School, University Paris Cité, Paris, France ,Neurophysiology and Epileptology Department, GHU Psychiatry and Neurosciences, Sainte Anne, 75014 Paris, France ,grid.7429.80000000121866389UMR 1266, Institut de Psychiatrie et, INSERM FHU NeuroVascNeurosciences de Paris-IPNP, 75014 Paris, France
| | - Eléonore Bouchereau
- Department of Neurocritical Care, G.H.U Paris Psychiatry and Neurosciences, 1, Rue Cabanis, 75014 Paris, France ,grid.7429.80000000121866389UMR 1266, Institut de Psychiatrie et, INSERM FHU NeuroVascNeurosciences de Paris-IPNP, 75014 Paris, France
| | - Martine Gavaret
- grid.508487.60000 0004 7885 7602Medical School, University Paris Cité, Paris, France ,Neurophysiology and Epileptology Department, GHU Psychiatry and Neurosciences, Sainte Anne, 75014 Paris, France ,grid.7429.80000000121866389UMR 1266, Institut de Psychiatrie et, INSERM FHU NeuroVascNeurosciences de Paris-IPNP, 75014 Paris, France
| | - Alain Cariou
- grid.411784.f0000 0001 0274 3893Medical ICU, Cochin Hospital, Assistance Publique – Hôpitaux de Paris (AP-HP), 27 Rue du Faubourg Saint-Jacques, 75014 Paris, France ,grid.508487.60000 0004 7885 7602Medical School, University Paris Cité, Paris, France ,After ROSC Network, Paris, France ,grid.462416.30000 0004 0495 1460Paris-Cardiovascular-Research-Center (Sudden-Death-Expertise-Center), INSERM U970, Paris, France
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Liuzzi P, Magliacano A, De Bellis F, Mannini A, Estraneo A. Predicting outcome of patients with prolonged disorders of consciousness using machine learning models based on medical complexity. Sci Rep 2022; 12:13471. [PMID: 35931703 PMCID: PMC9356130 DOI: 10.1038/s41598-022-17561-w] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 07/27/2022] [Indexed: 12/25/2022] Open
Abstract
Patients with severe acquired brain injury and prolonged disorders of consciousness (pDoC) are characterized by high clinical complexity and high risk to develop medical complications. The present multi-center longitudinal study aimed at investigating the impact of medical complications on the prediction of clinical outcome by means of machine learning models. Patients with pDoC were consecutively enrolled at admission in 23 intensive neurorehabilitation units (IRU) and followed-up at 6 months from onset via the Glasgow Outcome Scale-Extended (GOSE). Demographic and clinical data at study entry and medical complications developed within 3 months from admission were collected. Machine learning models were developed, targeting neurological outcomes at 6 months from brain injury using data collected at admission. Then, after concatenating predictions of such models to the medical complications collected within 3 months, a cascade model was developed. One hundred seventy six patients with pDoC (M: 123, median age 60.2 years) were included in the analysis. At admission, the best performing solution (k-Nearest Neighbors regression, KNN) resulted in a median validation error of 0.59 points [IQR 0.14] and a classification accuracy of dichotomized GOS-E of 88.6%. Coherently, at 3 months, the best model resulted in a median validation error of 0.49 points [IQR 0.11] and a classification accuracy of 92.6%. Interpreting the admission KNN showed how the negative effect of older age is strengthened when patients' communication levels are high and ameliorated when no communication is present. The model trained at 3 months showed appropriate adaptation of the admission prediction according to the severity of the developed medical complexity in the first 3 months. In this work, we developed and cross-validated an interpretable decision support tool capable of distinguishing patients which will reach sufficient independence levels at 6 months (GOS-E > 4). Furthermore, we provide an updated prediction at 3 months, keeping in consideration the rehabilitative path and the risen medical complexity.
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Affiliation(s)
- Piergiuseppe Liuzzi
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Via di Scandicci 269, Florence, Italy.,Scuola Superiore Sant'Anna, Istituto di BioRobotica, Viale Rinaldo Piaggio 34, Pontedera, Italy
| | - Alfonso Magliacano
- Fondazione Don Carlo Gnocchi ONLUS, Scientific Institute for Research and Health Care, Via Quadrivio, Sant'Angelo dei Lombardi, Italy
| | - Francesco De Bellis
- Fondazione Don Carlo Gnocchi ONLUS, Scientific Institute for Research and Health Care, Via Quadrivio, Sant'Angelo dei Lombardi, Italy
| | - Andrea Mannini
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, Via di Scandicci 269, Florence, Italy.
| | - Anna Estraneo
- Fondazione Don Carlo Gnocchi ONLUS, Scientific Institute for Research and Health Care, Via Quadrivio, Sant'Angelo dei Lombardi, Italy.,Unità di Neurologia, Santa Maria della Pietà General Hospital, Via della Repubblica 7, Nola, Italy
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Liu B, Zhang X, Li Y, Duan G, Hou J, Zhao J, Guo T, Wu D. tDCS-EEG for Predicting Outcome in Patients With Unresponsive Wakefulness Syndrome. Front Neurosci 2022; 16:771393. [PMID: 35812233 PMCID: PMC9263392 DOI: 10.3389/fnins.2022.771393] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 05/30/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives We aimed to assess the role of transcranial direct current stimulation (tDCS) combined with electroencephalogram (EEG) for predicting prognosis in UWS cases. Methods This was a historical control study that enrolled 85 patients with UWS. The subjects were assigned to the control (without tDCS) and tDCS groups. Conventional treatments were implemented in both the control and tDCS groups, along with 40 multi-target tDCS sessions only in the tDCS group. Coma Recovery Scale-Revised (CRS-R) was applied at admission. The non-linear EEG index was evaluated after treatment. The modified Glasgow Outcome Scale (mGOS) was applied 12 months after disease onset. Results The mGOS improvement rate in the tDCS group (37.1%) was higher than the control value (22.0%). Linear regression analysis revealed that the local and remote cortical networks under unaffected pain stimulation conditions and the remote cortical network under affected pain stimulation conditions were the main relevant factors for mGOS improvement. Furthermore, the difference in prefrontal-parietal cortical network was used to examine the sensitivity of prognostic assessment in UWS patients. The results showed that prognostic sensitivity could be increased from 54.5% (control group) to 84.6% (tDCS group). Conclusions This study proposes a tDCS-EEG protocol for predicting the prognosis of UWS. With multi-target tDCS combined with EEG, the sensitivity of prognostic assessment in patients with UWS was improved. The recovery might be related to improved prefrontal-parietal cortical networks of the unaffected hemisphere.
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Affiliation(s)
- Baohu Liu
- Department of Rehabilitation, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China
| | - Xu Zhang
- Department of Rehabilitation, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China
| | - Yuanyuan Li
- Department of Rehabilitation, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China
| | - Guoping Duan
- Department of Rehabilitation, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China
| | - Jun Hou
- Department of Rehabilitation, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China
| | - Jiayi Zhao
- Department of Rehabilitation, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China
| | - Tongtong Guo
- Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Dongyu Wu
- Department of Rehabilitation, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China
- *Correspondence: Dongyu Wu
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35
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Kondziella D, Stevens RD. Classifying Disorders of Consciousness: Past, Present, and Future. Semin Neurol 2022; 42:239-248. [PMID: 35738291 DOI: 10.1055/a-1883-1021] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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36
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Boissel A, Leblond F, Pinel-Jacquemin S, Petit P, Tasseau F, Vérin É. Caregivers of people with disorders of consciousness: Relationship continuity and rupture. EVOLUTION PSYCHIATRIQUE 2022. [DOI: 10.1016/j.evopsy.2022.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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37
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Angerer M, Wilhelm FH, Liedlgruber M, Pichler G, Angerer B, Scarpatetti M, Blume C, Schabus M. Does the Heart Fall Asleep?-Diurnal Variations in Heart Rate Variability in Patients with Disorders of Consciousness. Brain Sci 2022; 12:375. [PMID: 35326331 PMCID: PMC8946070 DOI: 10.3390/brainsci12030375] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 03/03/2022] [Accepted: 03/06/2022] [Indexed: 02/04/2023] Open
Abstract
The current study investigated heart rate (HR) and heart rate variability (HRV) across day and night in patients with disorders of consciousness (DOC). We recorded 24-h electrocardiography in 26 patients with DOC (i.e., unresponsive wakefulness syndrome (UWS; n = 16) and (exit) minimally conscious state ((E)MCS; n = 10)). To examine diurnal variations, HR and HRV indices in the time, frequency, and entropy domains were computed for periods of clear day- (forenoon: 8 a.m.-2 p.m.; afternoon: 2 p.m.-8 p.m.) and nighttime (11 p.m.-5 a.m.). The results indicate that patients' interbeat intervals (IBIs) were larger during the night than during the day, indicating HR slowing. The patients in UWS showed larger IBIs compared to the patients in (E)MCS, and the patients with non-traumatic brain injury showed lower HRV entropy than the patients with traumatic brain injury. Additionally, higher HRV entropy was associated with higher EEG entropy during the night. Thus, cardiac activity varies with a diurnal pattern in patients with DOC and can differentiate between patients' diagnoses and etiologies. Moreover, the interaction of heart and brain appears to follow a diurnal rhythm. Thus, HR and HRV seem to mirror the integrity of brain functioning and, consequently, might serve as supplementary measures for improving the validity of assessments in patients with DOC.
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Affiliation(s)
- Monika Angerer
- Laboratory for Sleep, Cognition and Consciousness Research, Department of Psychology, University of Salzburg, 5020 Salzburg, Austria;
- Centre for Cognitive Neuroscience Salzburg (CCNS), University of Salzburg, 5020 Salzburg, Austria
| | - Frank H. Wilhelm
- Division of Clinical Psychology and Psychopathology, Department of Psychology, University of Salzburg, 5020 Salzburg, Austria; (F.H.W.); (M.L.)
| | - Michael Liedlgruber
- Division of Clinical Psychology and Psychopathology, Department of Psychology, University of Salzburg, 5020 Salzburg, Austria; (F.H.W.); (M.L.)
| | - Gerald Pichler
- Apallic Care Unit, Albert Schweitzer Hospital, Geriatric Health Care Centres of the City of Graz, 8020 Graz, Austria; (G.P.); (M.S.)
| | - Birgit Angerer
- Private Practice for General Medicine and Neurology, 8430 Leibnitz, Austria;
| | - Monika Scarpatetti
- Apallic Care Unit, Albert Schweitzer Hospital, Geriatric Health Care Centres of the City of Graz, 8020 Graz, Austria; (G.P.); (M.S.)
| | - Christine Blume
- Centre for Chronobiology, Psychiatric Hospital of the University of Basel, 4002 Basel, Switzerland;
- Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, 4055 Basel, Switzerland
| | - Manuel Schabus
- Laboratory for Sleep, Cognition and Consciousness Research, Department of Psychology, University of Salzburg, 5020 Salzburg, Austria;
- Centre for Cognitive Neuroscience Salzburg (CCNS), University of Salzburg, 5020 Salzburg, Austria
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Medina JP, Nigri A, Stanziano M, D’Incerti L, Sattin D, Ferraro S, Rossi Sebastiano D, Pinardi C, Marotta G, Leonardi M, Bruzzone MG, Rosazza C. Resting-State fMRI in Chronic Patients with Disorders of Consciousness: The Role of Lower-Order Networks for Clinical Assessment. Brain Sci 2022; 12:brainsci12030355. [PMID: 35326311 PMCID: PMC8946756 DOI: 10.3390/brainsci12030355] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 02/24/2022] [Accepted: 02/28/2022] [Indexed: 01/27/2023] Open
Abstract
Resting-state fMRI (rs-fMRI) is a widely used technique to investigate the residual brain functions of patients with Disorders of Consciousness (DoC). Nonetheless, it is unclear how the networks that are more associated with primary functions, such as the sensory–motor, medial/lateral visual and auditory networks, contribute to clinical assessment. In this study, we examined the rs-fMRI lower-order networks alongside their structural MRI data to clarify the corresponding association with clinical assessment. We studied 109 chronic patients with DoC and emerged from DoC with structural MRI and rs-fMRI: 65 in vegetative state/unresponsive wakefulness state (VS/UWS), 34 in minimally conscious state (MCS) and 10 with severe disability. rs-fMRI data were analyzed with independent component analyses and seed-based analyses, in relation to structural MRI and clinical data. The results showed that VS/UWS had fewer networks than MCS patients and the rs-fMRI activity in each network was decreased. Visual networks were correlated to the clinical status, and in cases where no clinical response occurred, rs-fMRI indicated distinctive networks conveying information in a similar way to other techniques. The information provided by single networks was limited, whereas the four networks together yielded better classification results, particularly when the model included rs-fMRI and structural MRI data (AUC = 0.80). Both quantitative and qualitative rs-fMRI analyses yielded converging results; vascular etiology might confound the results, and disease duration generally reduced the number of networks observed. The lower-order rs-fMRI networks could be used clinically to support and corroborate visual function assessments in DoC.
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Affiliation(s)
- Jean Paul Medina
- Neuroradiology Unit, Diagnostic and Technology Department, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy; (J.P.M.); (M.S.); (L.D.); (S.F.); (C.P.); (M.G.B.)
| | - Anna Nigri
- Neuroradiology Unit, Diagnostic and Technology Department, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy; (J.P.M.); (M.S.); (L.D.); (S.F.); (C.P.); (M.G.B.)
- Correspondence: (A.N.); (C.R.)
| | - Mario Stanziano
- Neuroradiology Unit, Diagnostic and Technology Department, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy; (J.P.M.); (M.S.); (L.D.); (S.F.); (C.P.); (M.G.B.)
- Neurosciences Department “Rita Levi Montalcini”, University of Turin, 10126 Turin, Italy
| | - Ludovico D’Incerti
- Neuroradiology Unit, Diagnostic and Technology Department, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy; (J.P.M.); (M.S.); (L.D.); (S.F.); (C.P.); (M.G.B.)
- Neuroradiology Unit, Children’s Hospital A. Meyer—University of Florence, 50139 Florence, Italy
| | - Davide Sattin
- IRCCS Istituti Clinici Scientifici Maugeri di Milano, 20138 Milan, Italy;
| | - Stefania Ferraro
- Neuroradiology Unit, Diagnostic and Technology Department, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy; (J.P.M.); (M.S.); (L.D.); (S.F.); (C.P.); (M.G.B.)
- MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Davide Rossi Sebastiano
- Epileptology Unit, Department of Neurophysiology and Diagnostic, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy;
| | - Chiara Pinardi
- Neuroradiology Unit, Diagnostic and Technology Department, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy; (J.P.M.); (M.S.); (L.D.); (S.F.); (C.P.); (M.G.B.)
- Medical Physics Unit, Asst Nord Milano, Sesto San Giovanni, 20099 Milan, Italy
| | - Giorgio Marotta
- Department of Nuclear Medicine, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy;
| | - Matilde Leonardi
- Neurology, Public Health, Disability Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy;
| | - Maria Grazia Bruzzone
- Neuroradiology Unit, Diagnostic and Technology Department, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy; (J.P.M.); (M.S.); (L.D.); (S.F.); (C.P.); (M.G.B.)
| | - Cristina Rosazza
- Neuroradiology Unit, Diagnostic and Technology Department, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy; (J.P.M.); (M.S.); (L.D.); (S.F.); (C.P.); (M.G.B.)
- Department of Humanistic Studies, University of Urbino Carlo Bo, 61029 Urbino, Italy
- Correspondence: (A.N.); (C.R.)
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Hermann B, Sangaré A, Munoz-Musat E, Salah AB, Perez P, Valente M, Faugeras F, Axelrod V, Demeret S, Marois C, Pyatigorskaya N, Habert MO, Kas A, Sitt JD, Rohaut B, Naccache L. Importance, limits and caveats of the use of “disorders of consciousness” to theorize consciousness. Neurosci Conscious 2022; 2021:niab048. [PMID: 35369675 PMCID: PMC8966966 DOI: 10.1093/nc/niab048] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 12/21/2021] [Accepted: 01/27/2022] [Indexed: 11/13/2022] Open
Abstract
The clinical and fundamental exploration of patients suffering from disorders of consciousness (DoC) is commonly used by researchers both to test some of their key theoretical predictions and to serve as a unique source of empirical knowledge about possible dissociations between consciousness and cognitive and/or neural processes. For instance, the existence of states of vigilance free of any self-reportable subjective experience [e.g. “vegetative state (VS)” and “complex partial epileptic seizure”] originated from DoC and acted as a cornerstone for all theories by dissociating two concepts that were commonly equated and confused: vigilance and conscious state. In the present article, we first expose briefly the major achievements in the exploration and understanding of DoC. We then propose a synthetic taxonomy of DoC, and we finally highlight some current limits, caveats and questions that have to be addressed when using DoC to theorize consciousness. In particular, we show (i) that a purely behavioral approach of DoC is insufficient to characterize the conscious state of patients; (ii) that the comparison between patients in a minimally conscious state (MCS) and patients in a VS [also coined as unresponsive wakefulness syndrome (UWS)] does not correspond to a pure and minimal contrast between unconscious and conscious states and (iii) we emphasize, in the light of original resting-state positron emission tomography data, that behavioral MCS captures an important but misnamed clinical condition that rather corresponds to a cortically mediated state and that MCS does not necessarily imply the preservation of a conscious state.
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Affiliation(s)
| | - Aude Sangaré
- Brain institute-ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, Paris 75013, France
- Department of Neurophysiology, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris 75006, France
| | - Esteban Munoz-Musat
- Brain institute-ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, Paris 75013, France
| | - Amina Ben Salah
- Brain institute-ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, Paris 75013, France
| | - Pauline Perez
- Brain institute-ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, Paris 75013, France
| | - Mélanie Valente
- Brain institute-ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, Paris 75013, France
- Department of Neurophysiology, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris 75006, France
| | - Frédéric Faugeras
- Department of Neurology, AP-HP, Hôpital Henri-Mondor-Albert Chenevier, Université Paris Est Creteil, Créteil 94 000, France
- Département d’Etudes Cognitives, École normale supérieure, PSL University, Paris 75005, France
- Inserm U955, Institut Mondor de Recherche Biomédicale, Equipe E01 NeuroPsychologie Interventionnelle, Créteil 94000, France
| | - Vadim Axelrod
- Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat Gan 5290002, Israel
| | - Sophie Demeret
- Department of Neurology, Neuro-ICU, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris 75006, France
| | - Clémence Marois
- Department of Neurology, Neuro-ICU, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris 75006, France
| | - Nadya Pyatigorskaya
- Brain institute-ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, Paris 75013, France
- Department of Neuroradiology, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris 75006, France
| | - Marie-Odile Habert
- Department of Nuclear Medicine, AP-HP, Pitié-Salpêtrière Hospital, Paris, France
- Laboratoire d’Imagerie Biomédicale, LIB, INSERM, CNRS, Sorbonne Université, Paris, France
| | - Aurélie Kas
- Department of Nuclear Medicine, AP-HP, Pitié-Salpêtrière Hospital, Paris, France
- Laboratoire d’Imagerie Biomédicale, LIB, INSERM, CNRS, Sorbonne Université, Paris, France
| | - Jacobo D Sitt
- Brain institute-ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, Paris 75013, France
| | - Benjamin Rohaut
- Brain institute-ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, Paris 75013, France
- Department of Neurology, Neuro-ICU, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris 75006, France
| | - Lionel Naccache
- Brain institute-ICM, Inserm U1127, CNRS UMR 7225, Sorbonne Université, Paris 75013, France
- Department of Neurophysiology, AP-HP, Hôpital Pitié-Salpêtrière, Sorbonne Université, Paris 75006, France
- Medical Intensive Care Unit, AP-HP, Hôpital Européen Georges Pompidou, Paris 75015, France
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Jöhr J, Aureli V, Meyer I, Cossu G, Diserens K. Clinical Cognitive Motor Dissociation: A Case Report Showing How Pitfalls Can Hinder Early Clinical Detection of Awareness. Brain Sci 2022; 12:brainsci12020157. [PMID: 35203921 PMCID: PMC8870211 DOI: 10.3390/brainsci12020157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 01/20/2022] [Accepted: 01/21/2022] [Indexed: 11/29/2022] Open
Abstract
This study presents the case of a brain-injured patient whose pathological awakening after coma and absence of interaction led to a diagnosis of lack of consciousness when standard clinical scales were administered. However, we were able to demonstrate conscious perception in this patient from initial clinical assessments using the Motor Behaviour Tool in the acute stage, complemented by a systematic search for potential obstacles blocking his execution of motor responses (pitfalls). This refinement of the diagnosis enabled prediction of a favourable outcome despite the severity of the lesions, with the patient’s evolution confirming our prediction. Faced with an unresponsive patient, every specialist should go beyond the absence of response with the standard scores, consider the possibility of a hidden consciousness and look for rigorous ways of proving it.
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Affiliation(s)
- Jane Jöhr
- Acute Neuro-Rehabilitation Unit, Service of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), 1011 Lausanne, Switzerland; (I.M.); (K.D.)
- Correspondence: ; Tel.: +41-795566642
| | - Viviana Aureli
- Service of Neurosurgery, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), 1011 Lausanne, Switzerland; (V.A.); (G.C.)
| | - Ivo Meyer
- Acute Neuro-Rehabilitation Unit, Service of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), 1011 Lausanne, Switzerland; (I.M.); (K.D.)
| | - Giulia Cossu
- Service of Neurosurgery, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), 1011 Lausanne, Switzerland; (V.A.); (G.C.)
| | - Karin Diserens
- Acute Neuro-Rehabilitation Unit, Service of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), 1011 Lausanne, Switzerland; (I.M.); (K.D.)
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41
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Overbeek BUH, Lavrijsen JCM, van Gaal S, Kondziella D, Eilander HJ, Koopmans RTCM. Towards consensus on visual pursuit and visual fixation in patients with disorders of consciousness. A Delphi study. J Neurol 2022; 269:3204-3215. [PMID: 35001197 DOI: 10.1007/s00415-021-10905-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 11/10/2021] [Accepted: 11/11/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND The aim of this Delphi study was to reach consensus about definition, operationalization and assessment of visual pursuit (VP) and visual fixation (VF). METHODS In a three-round international Delphi study, clinical and research experts on disorders of consciousness indicated their level of agreement on 87 statements using a 5-point Likert scale. Consensus for agreement was defined by a median of 5, an interquartile range (IQR) ≤ 1, and ≥ 80% indicating moderate or strong agreement. RESULTS Forty-three experts from three continents participated, 32 completed all three rounds. For VP, the consensus statements with the highest levels of agreement were on the term 'pursuit of a visual stimulus', the description 'ability to follow visually in horizontal and/or vertical plane', a duration > 2 s, tracking in horizontal and vertical planes, and a frequency of more than 2 times per assessment. For VF, consensus statements with the highest levels of agreement were on the term 'sustained VF', the description 'sustained fixation in response to a salient stimulus', a duration of > 2 s and a frequency of 2 or more times per assessment. The assessment factors with the highest levels of agreement were personalized stimuli, the use of eye tracking technology, a patient dependent time of assessment, sufficient environmental light, upright posture, and the necessity to exclude ocular/oculomotor problems. CONCLUSION This first international Delphi study on VP and VF in patients with disorders of consciousness provides provisional operational definitions and an overview of the most relevant assessment factors.
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Affiliation(s)
- Berno U H Overbeek
- Department of Primary and Community Care, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands. .,Kalorama, Beek Ubbergen, The Netherlands. .,Azora, Terborg, The Netherlands.
| | - Jan C M Lavrijsen
- Department of Primary and Community Care, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Simon van Gaal
- Faculty of Social and Behavioural Sciences, Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Daniel Kondziella
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Henk J Eilander
- Department of Primary and Community Care, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Raymond T C M Koopmans
- Department of Primary and Community Care, Radboud Institute of Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.,Center for Specialized Geriatric Care, Joachim en Anna, Nijmegen, The Netherlands
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42
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Naccache L, Luauté J, Silva S, Sitt JD, Rohaut B. Toward a coherent structuration of disorders of consciousness expertise at a country scale: A proposal for France. Rev Neurol (Paris) 2021; 178:9-20. [PMID: 34980510 DOI: 10.1016/j.neurol.2021.12.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 12/15/2021] [Indexed: 12/23/2022]
Abstract
Probing consciousness and cognitive abilities in non-communicating patients is one of the most challenging diagnostic issues. A fast growing medical and scientific literature explores the various facets of this challenge, often coined under the generic expression of 'Disorders of Consciousness' (DoC). Crucially, a set of independent converging results demonstrated both (1) the diagnostic and prognostic importance of this expertise, and (2) the need to combine behavioural measures with brain structure and activity data to improve diagnostic and prognostication accuracy as well as potential therapeutic intervention. Thus, probing consciousness in DoC patients appears as a crucial activity rich of human, medical, economic and ethical consequences, but this activity needs to be organized in order to offer this expertise to each concerned patient. More precisely, diagnosis of consciousness differs in difficulty across patients: while a minimal set of data can be sufficient to reach a confident result, some patients need a higher level of expertise that relies on additional behavioural and brain activity and brain structure measures. In order to enable this service on a systematic mode, we present two complementary proposals in the present article. First, we sketch a structuration of DoC expertise at a country-scale, namely France. More precisely, we suggest that a 2-tiers network composed of local (Tier-1) and regional (Tier-2) centers backed by distant electronic databases and algorithmic centers could optimally enable the systematic implementation of DoC expertise in France. Second, we propose to create a national common register of DoC patients in order to better monitor this activity, to improve its performance on the basis of nation-wide collected evidence, and to promote rational decision-making.
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Affiliation(s)
- L Naccache
- Sorbonne université, institut du cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France; Sorbonne université, UPMC Univ Paris 06, faculté de médecine Pitié-Salpêtrière, Paris, France; AP-HP, hôpital groupe hospitalier Pitié-Salpêtrière, DMU neurosciences, department of clinical neurophysiology, Paris, France; AP-HP, hôpital groupe hospitalier Pitié-Salpêtrière, DMU neurosciences, department of neurology, Neuro ICU, Paris, France.
| | - J Luauté
- Service de médecine physique et réadaptation, hôpital Henry-Gabrielle, Hospices Civils de Lyon, Saint-Genis Laval, France; Équipe « Trajectoires », centre de recherche en neurosciences de Lyon, Inserm UMR-S 1028, CNRS UMR 5292, université de Lyon, université Lyon 1, Bron, France
| | - S Silva
- Intensive Care Unit, Purpan University Hospital, 31000 Toulouse, France; Toulouse NeuroImaging Center (ToNIC lab) URM UPS/INSERM 1214, 31000 Toulouse, France
| | - J D Sitt
- Sorbonne université, institut du cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France; Sorbonne université, UPMC Univ Paris 06, faculté de médecine Pitié-Salpêtrière, Paris, France
| | - B Rohaut
- Sorbonne université, institut du cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris, France; Sorbonne université, UPMC Univ Paris 06, faculté de médecine Pitié-Salpêtrière, Paris, France; AP-HP, hôpital groupe hospitalier Pitié-Salpêtrière, DMU neurosciences, department of neurology, Neuro ICU, Paris, France
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Young MJ, Bodien YG, Giacino JT, Fins JJ, Truog RD, Hochberg LR, Edlow BL. The neuroethics of disorders of consciousness: a brief history of evolving ideas. Brain 2021; 144:3291-3310. [PMID: 34347037 PMCID: PMC8883802 DOI: 10.1093/brain/awab290] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 06/11/2021] [Accepted: 07/10/2021] [Indexed: 11/12/2022] Open
Abstract
Neuroethical questions raised by recent advances in the diagnosis and treatment of disorders of consciousness are rapidly expanding, increasingly relevant and yet underexplored. The aim of this thematic review is to provide a clinically applicable framework for understanding the current taxonomy of disorders of consciousness and to propose an approach to identifying and critically evaluating actionable neuroethical issues that are frequently encountered in research and clinical care for this vulnerable population. Increased awareness of these issues and clarity about opportunities for optimizing ethically responsible care in this domain are especially timely given recent surges in critically ill patients with prolonged disorders of consciousness associated with coronavirus disease 2019 around the world. We begin with an overview of the field of neuroethics: what it is, its history and evolution in the context of biomedical ethics at large. We then explore nomenclature used in disorders of consciousness, covering categories proposed by the American Academy of Neurology, the American Congress of Rehabilitation Medicine and the National Institute on Disability, Independent Living and Rehabilitation Research, including definitions of terms such as coma, the vegetative state, unresponsive wakefulness syndrome, minimally conscious state, covert consciousness and the confusional state. We discuss why these definitions matter, and why there has been such evolution in this nosology over the years, from Jennett and Plum in 1972 to the Multi-Society Task Force in 1994, the Aspen Working Group in 2002 and the 2018 American and 2020 European Disorders of Consciousness guidelines. We then move to a discussion of clinical aspects of disorders of consciousness, the natural history of recovery and ethical issues that arise within the context of caring for people with disorders of consciousness. We conclude with a discussion of key challenges associated with assessing residual consciousness in disorders of consciousness, potential solutions and future directions, including integration of crucial disability rights perspectives.
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Affiliation(s)
- Michael J Young
- Center for Neurotechnology and Neurorecovery,
Department of Neurology, Massachusetts General Hospital, Harvard Medical
School, Boston, MA 02114, USA
- Edmond J. Safra Center for Ethics, Harvard
University, Cambridge, MA 02138, USA
| | - Yelena G Bodien
- Center for Neurotechnology and Neurorecovery,
Department of Neurology, Massachusetts General Hospital, Harvard Medical
School, Boston, MA 02114, USA
- Department of Physical Medicine and Rehabilitation,
Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, MA
02129, USA
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation,
Spaulding Rehabilitation Hospital, Harvard Medical School, Charlestown, MA
02129, USA
| | - Joseph J Fins
- Division of Medical Ethics, Weill Cornell Medical
College, New York, NY 10021, USA
- Yale Law School, New Haven,
Connecticut 06511, USA
| | - Robert D Truog
- Center for Bioethics, Harvard Medical
School, Boston, MA 02115, USA
| | - Leigh R Hochberg
- Center for Neurotechnology and Neurorecovery,
Department of Neurology, Massachusetts General Hospital, Harvard Medical
School, Boston, MA 02114, USA
- School of Engineering and Carney Institute for Brain
Science, Brown University, Providence, RI 02906, USA
- VA RR&D Center for Neurorestoration and
Neurotechnology, Department of Veterans Affairs Medical Center,
Providence, RI 02908, USA
| | - Brian L Edlow
- Center for Neurotechnology and Neurorecovery,
Department of Neurology, Massachusetts General Hospital, Harvard Medical
School, Boston, MA 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging,
Massachusetts General Hospital, Charlestown, MA 02129, USA
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Suehiro E, Kiyohira M, Haji K, Suzuki M. Changes in Outcomes after Discharge from an Acute Hospital in Severe Traumatic Brain Injury. Neurol Med Chir (Tokyo) 2021; 62:111-117. [PMID: 34880162 PMCID: PMC8918365 DOI: 10.2176/nmc.oa.2021-0217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Neurological improvement occurs from the subacute to chronic phases in severe traumatic brain injury. We analyzed factors associated with improved neurological findings in the subacute phase, using data from the Japan Neurotrauma Data Bank (JNTDB). The subjects were 1345 patients registered in the JNTDB (Project 2015). Clinical improvement was evaluated by comparing the Glasgow Outcome Scale (GOS) at discharge and 6 months after injury. Of these patients, 157 with severe disability (SD) on the discharge GOS were examined to evaluate factors associated with neurological improvement in the subacute phase. Cases were defined as those with (group I) and without (group N) improvement: a change from SD at discharge to good recovery (GR) or moderate disability (MD) at 6 months after injury. Patient background, admission findings, treatment, and discharge destination were examined. In all patients, the favorable outcome (GR, MD) rate improved from 30.2% at discharge to 35.7% at 6 months after injury. Of SD cases at discharge, 44.6% had a favorable outcome at 6 months (group I). Patients in group I were significantly younger, and had a significantly lower D-dimer level in initial blood tests and a lower incidence of convulsions. In multivariate analysis, discharge to home was a significant factor associated with an improved outcome. Many SD cases at discharge ultimately showed neurological improvement, and the initial D-dimer level may be a predictor of such improvement. The environment after discharge from an acute care hospital may also contribute to an improved long-term prognosis.
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Affiliation(s)
- Eiichi Suehiro
- Department of Neurosurgery, International University of Health and Welfare, School of Medicine.,The Japan Neurotrauma Data Bank Committee, The Japan Society of Neurotraumatology
| | - Miwa Kiyohira
- Department of Neurosurgery, Yamaguchi University School of Medicine
| | - Kohei Haji
- Department of Neurosurgery, Yamaguchi University School of Medicine
| | - Michiyasu Suzuki
- The Japan Neurotrauma Data Bank Committee, The Japan Society of Neurotraumatology.,Department of Neurosurgery, Yamaguchi University School of Medicine
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- The Japan Neurotrauma Data Bank Committee, The Japan Society of Neurotraumatology
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Estraneo A, Magliacano A, Fiorenza S, Formisano R, Grippo A, Angelakis E, Cassol H, Thibaut A, Gosseries O, Lamberti G, Noé E, Bagnato S, Edlow BL, Chatelle C, Lejeune N, Veeramuthu V, Bartolo M, Mattia D, Toppi J, Zasler N, Schnakers C, Trojano L. Risk factors for 2-year mortality in patients with prolonged disorders of consciousness: An international multicentre study. Eur J Neurol 2021; 29:390-399. [PMID: 34657359 DOI: 10.1111/ene.15143] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 10/07/2021] [Accepted: 10/11/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND PURPOSE Patients with prolonged disorders of consciousness (pDoC) have a high mortality rate due to medical complications. Because an accurate prognosis is essential for decision-making on patients' management, we analysed data from an international multicentre prospective cohort study to evaluate 2-year mortality rate and bedside predictors of mortality. METHODS We enrolled adult patients in prolonged vegetative state/unresponsive wakefulness syndrome (VS/UWS) or minimally conscious state (MCS) after traumatic and nontraumatic brain injury within 3 months postinjury. At enrolment, we collected demographic (age, sex), anamnestic (aetiology, time postinjury), clinical (Coma Recovery Scale-Revised [CRS-R], Disability Rating Scale, Nociception Coma Scale-Revised), and neurophysiologic (electroencephalogram [EEG], somatosensory evoked and event-related potentials) data. Patients were followed up to gather data on mortality up to 24 months postinjury. RESULTS Among 143 traumatic (n = 55) and nontraumatic (n = 88) patients (VS/UWS, n = 68, 19 females; MCS, n = 75, 22 females), 41 (28.7%) died within 24 months postinjury. Mortality rate was higher in VS/UWS (42.6%) than in MCS (16%; p < 0.001). Multivariate regression in VS/UWS showed that significant predictors of mortality were older age and lower CRS-R total score, whereas in MCS female sex and absence of alpha rhythm on EEG at study entry were significant predictors. CONCLUSIONS This study demonstrated that a feasible multimodal assessment in the postacute phase can help clinicians to identify patients with pDoC at higher risk of mortality within 24 months after brain injury. This evidence can help clinicians and patients' families to navigate the complex clinical decision-making process and promote an international standardization of prognostic procedures for patients with pDoC.
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Affiliation(s)
- Anna Estraneo
- Don Carlo Gnocchi Foundation, Scientific Institute for Research and Health Care, Florence, Italy.,Neurology Unit, Santa Maria della Pietà General Hospital, Nola, Italy
| | - Alfonso Magliacano
- Don Carlo Gnocchi Foundation, Scientific Institute for Research and Health Care, Florence, Italy.,Department of Psychology, University of Campania Luigi Vanvitelli, Caserta, Italy
| | - Salvatore Fiorenza
- Maugeri Clinical Scientific Institutes, Scientific Institute for Research and Health Care, Laboratory for the Multimodal Evaluation of Disorders of Consciousness, Telese Terme, Italy
| | - Rita Formisano
- Santa Lucia Foundation, Scientific Institute for Research and Health Care, Rome, Italy
| | - Antonello Grippo
- Don Carlo Gnocchi Foundation, Scientific Institute for Research and Health Care, Florence, Italy
| | - Efthymios Angelakis
- Neurosurgery Department, University of Athens Medical School, Athens, Greece
| | - Helena Cassol
- Coma Science Group, GIGA Consciousness, University and University Hospital of Liège, Liège, Belgium
| | - Aurore Thibaut
- Coma Science Group, GIGA Consciousness, University and University Hospital of Liège, Liège, Belgium
| | - Olivia Gosseries
- Coma Science Group, GIGA Consciousness, University and University Hospital of Liège, Liège, Belgium
| | | | - Enrique Noé
- NEURORHB-Neurorehabilitation Service of Vithas Hospitals, Valencia, Spain
| | - Sergio Bagnato
- Unit of Neurophysiology and Unit for Severe Acquired Brain Injuries, Rehabilitation Department, Giuseppe Giglio Foundation, Cefalù, Italy
| | - Brian L Edlow
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Camille Chatelle
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Nicolas Lejeune
- Centre Hospitalier Neurologique William Lennox, Ottignies-Louvain-la-Neuve, Belgium
| | | | | | - Donatella Mattia
- Santa Lucia Foundation, Scientific Institute for Research and Health Care, Rome, Italy
| | - Jlenia Toppi
- Department of Computer, Control, and Management Engineering, Sapienza University of Rome, Rome, Italy
| | - Nathan Zasler
- Concussion Care Centre of Virginia, Richmond, Virginia, USA
| | - Caroline Schnakers
- Research Institute, Casa Colina Hospital and Centers for Healthcare, Pomona, California, USA
| | - Luigi Trojano
- Department of Psychology, University of Campania Luigi Vanvitelli, Caserta, Italy
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Henson T, Rawanduzy C, Salazar M, Sebastian A, Weber H, Al-Mufti F, Mayer SA. Outcome and prognostication after cardiac arrest. Ann N Y Acad Sci 2021; 1508:23-34. [PMID: 34580886 DOI: 10.1111/nyas.14699] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 08/17/2021] [Accepted: 08/29/2021] [Indexed: 11/27/2022]
Abstract
The outcome after out-of-hospital cardiac arrest has historically been grim at best. The current overall survival rate of patients admitted to a hospital is approximately 10%, making cardiac arrest one of the leading causes of death in the United States. The situation is improving with the incorporation of therapeutic temperature modulation, aggressive prevention of secondary brain injury, and improved access to advanced cardiovascular support, all of which have decreased mortality and allowed for better outcomes. Mortality after cardiac arrest is often the direct result of active withdrawal of life-sustaining therapy based on the perception that neurological recovery is not possible. This reality highlights the importance of providing accurate estimates of neurological prognosis to decision makers when discussing goals of care. The current standard of care for assessing neurological status in patients with hypoxic-ischemic encephalopathy emphasizes a multimodal approach that includes five elements: (1) neurological examination off sedation, (2) continuous electroencephalography, (3) serum neuron-specific enolase levels, (4) magnetic resonance brain imaging, and (5) somatosensory-evoked potential testing. Sophisticated decision support systems that can integrate these clinical, imaging, and biomarker and neurophysiologic data and translate it into meaningful projections of neurological outcome are urgently needed.
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Affiliation(s)
| | | | | | | | - Harli Weber
- New York Medical College, Valhalla, New York
| | - Fawaz Al-Mufti
- Westchester Medical Center, Valhalla, New York.,New York Medical College, Valhalla, New York
| | - Stephan A Mayer
- Westchester Medical Center, Valhalla, New York.,New York Medical College, Valhalla, New York
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A Systematic Review of Sleep in Patients with Disorders of Consciousness: From Diagnosis to Prognosis. Brain Sci 2021; 11:brainsci11081072. [PMID: 34439690 PMCID: PMC8393958 DOI: 10.3390/brainsci11081072] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 08/02/2021] [Accepted: 08/13/2021] [Indexed: 10/26/2022] Open
Abstract
With the development of intensive care technology, the number of patients who survive acute severe brain injury has increased significantly. At present, it is difficult to diagnose the patients with disorders of consciousness (DOCs) because motor responses in these patients may be very limited and inconsistent. Electrophysiological criteria, such as event-related potentials or motor imagery, have also been studied to establish a diagnosis and prognosis based on command-following or active paradigms. However, the use of such task-based techniques in DOC patients is methodologically complex and requires careful analysis and interpretation. The present paper focuses on the analysis of sleep patterns for the evaluation of DOC and its relationships with diagnosis and prognosis outcomes. We discuss the concepts of sleep patterns in patients suffering from DOC, identification of this challenging population, and the prognostic value of sleep. The available literature on individuals in an unresponsive wakefulness syndrome (UWS) or minimally conscious state (MCS) following traumatic or nontraumatic severe brain injury is reviewed. We can distinguish patients with different levels of consciousness by studying sleep patients with DOC. Most MCS patients have sleep and wake alternations, sleep spindles and rapid eye movement (REM) sleep, while UWS patients have few EEG changes. A large number of sleep spindles and organized sleep-wake patterns predict better clinical outcomes. It is expected that this review will promote our understanding of sleep EEG in DOC.
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Abstract
PURPOSE OF REVIEW Recovery after severe brain injury is variable and challenging to accurately predict at the individual patient level. This review highlights new developments in clinical prognostication with a special focus on the prediction of consciousness and increasing reliance on methods from data science. RECENT FINDINGS Recent research has leveraged serum biomarkers, quantitative electroencephalography, MRI, and physiological time-series to build models for recovery prediction. The analysis of high-resolution data and the integration of features from different modalities can be approached with efficient computational techniques. SUMMARY Advances in neurophysiology and neuroimaging, in combination with computational methods, represent a novel paradigm for prediction of consciousness and functional recovery after severe brain injury. Research is needed to produce reliable, patient-level predictions that could meaningfully impact clinical decision making.
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Nekrasova J, Kanarskii M, Borisov I, Pradhan P, Shunenkov D, Vorobiev A, Smirnova M, Pasko V, Petrova MV, Luginina E, Pryanikov I. One-Year Demographical and Clinical Indices of Patients with Chronic Disorders of Consciousness. Brain Sci 2021; 11:brainsci11050651. [PMID: 34065687 PMCID: PMC8156613 DOI: 10.3390/brainsci11050651] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 05/11/2021] [Accepted: 05/14/2021] [Indexed: 12/27/2022] Open
Abstract
This work aims to evaluate the prognostic value of the demographical and clinical data on long-term outcomes (up to 12 months) in patients with severe acquired brain injury with vegetative state/unresponsive wakefulness syndrome (VS/UWS/UWS) or a minimally conscious state (MCS). Patients (n = 211) with VS/UWS/UWS (n = 123) and MCS (n = 88) were admitted to the Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology after anoxic brain injury (n = 53), vascular lesions (n = 59), traumatic brain injury (n = 93), and other causes (n = 6). At the beginning of the 12-month study, younger age and a higher score by the Coma Recovery Scale-Revised (CRS-R) predicted a survival. However, no reliable markers of significant positive dynamics of consciousness were found. Based on the etiology, anoxic brain injury has the most unfavorable prognosis. For patients with vascular lesions, the first three months after injury have the most important prognostic value. No correlations were found between survival, increased consciousness, and gender. The demographic and clinical characteristics of patients with chronic DOC can be used to predict long-term mortality in patients with chronic disorders of consciousness. Further research should be devoted to finding reliable predictors of recovery of consciousness.
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Affiliation(s)
- Julia Nekrasova
- Department for the Study of Chronic Disorder of Consciousness, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, 107031 Moscow, Russia; (J.N.); (M.K.); (I.B.); (D.S.); (A.V.); (I.P.); (M.S.); (V.P.); (M.V.P.); (E.L.)
| | - Mikhail Kanarskii
- Department for the Study of Chronic Disorder of Consciousness, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, 107031 Moscow, Russia; (J.N.); (M.K.); (I.B.); (D.S.); (A.V.); (I.P.); (M.S.); (V.P.); (M.V.P.); (E.L.)
| | - Ilya Borisov
- Department for the Study of Chronic Disorder of Consciousness, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, 107031 Moscow, Russia; (J.N.); (M.K.); (I.B.); (D.S.); (A.V.); (I.P.); (M.S.); (V.P.); (M.V.P.); (E.L.)
| | - Pranil Pradhan
- Department for the Study of Chronic Disorder of Consciousness, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, 107031 Moscow, Russia; (J.N.); (M.K.); (I.B.); (D.S.); (A.V.); (I.P.); (M.S.); (V.P.); (M.V.P.); (E.L.)
- Correspondence: ; Tel.: +7-(977)-709-4468
| | - Denis Shunenkov
- Department for the Study of Chronic Disorder of Consciousness, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, 107031 Moscow, Russia; (J.N.); (M.K.); (I.B.); (D.S.); (A.V.); (I.P.); (M.S.); (V.P.); (M.V.P.); (E.L.)
| | - Alexey Vorobiev
- Department for the Study of Chronic Disorder of Consciousness, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, 107031 Moscow, Russia; (J.N.); (M.K.); (I.B.); (D.S.); (A.V.); (I.P.); (M.S.); (V.P.); (M.V.P.); (E.L.)
| | - Maria Smirnova
- Department for the Study of Chronic Disorder of Consciousness, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, 107031 Moscow, Russia; (J.N.); (M.K.); (I.B.); (D.S.); (A.V.); (I.P.); (M.S.); (V.P.); (M.V.P.); (E.L.)
| | - Vera Pasko
- Department for the Study of Chronic Disorder of Consciousness, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, 107031 Moscow, Russia; (J.N.); (M.K.); (I.B.); (D.S.); (A.V.); (I.P.); (M.S.); (V.P.); (M.V.P.); (E.L.)
| | - Marina V. Petrova
- Department for the Study of Chronic Disorder of Consciousness, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, 107031 Moscow, Russia; (J.N.); (M.K.); (I.B.); (D.S.); (A.V.); (I.P.); (M.S.); (V.P.); (M.V.P.); (E.L.)
- Department of Anestesiology-Reanimatology, People’s Friendship University of Russia, 117198 Moscow, Russia
| | - Elena Luginina
- Department for the Study of Chronic Disorder of Consciousness, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, 107031 Moscow, Russia; (J.N.); (M.K.); (I.B.); (D.S.); (A.V.); (I.P.); (M.S.); (V.P.); (M.V.P.); (E.L.)
| | - Igor Pryanikov
- Department for the Study of Chronic Disorder of Consciousness, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, 107031 Moscow, Russia; (J.N.); (M.K.); (I.B.); (D.S.); (A.V.); (I.P.); (M.S.); (V.P.); (M.V.P.); (E.L.)
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50
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Vijiala S, Epiney JB, Jöhr J, Pincherle A, Meyer MM, Du Pasquier R, Prior JO, Diserens K. Case Report: Behavioral Unresponsiveness in Acute COVID-19 Patients: The Utility of the Motor Behavior Tool-Revised and 18F-FDG PET/CT. Front Neurol 2021; 12:644848. [PMID: 33995248 PMCID: PMC8119781 DOI: 10.3389/fneur.2021.644848] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 04/08/2021] [Indexed: 12/19/2022] Open
Abstract
Along with the propagation of COVID-19, emerging evidence reveals significant neurological manifestations in severely infected COVID-19 patients. Among these patients admitted to the intensive care unit (ICU), behavioral unresponsiveness may occur frequently, yet, there are still only a few cases reported and with rare descriptions of their motor behavior after pathological awakening. Several hypotheses regarding central lesions in these patients are conceivable. Here, we describe two acute SARS-CoV-2- infected patients who developed neurological symptoms evoking the condition of clinical cognitive motor dissociation (CMD). This diagnosis could be confirmed first by clinical observation of a dissociation between preserved cognitive abilities and lack of initial motor interaction and second, by performing 18F- FDG PET imaging. Accurate diagnosis led to an appropriate neuro-rehabilitation regimen with long-term neuro-rehabilitation leading to an improved outcome for both patients.
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Affiliation(s)
- Sergiu Vijiala
- Unit of Acute Neurorehabilitation Unit, Department of Clinical Neurosciences, Service of Neurology, Lausanne University Hospital (Centre Hospitalier Universitaire Vaudois), University of Lausanne, Lausanne, Switzerland
| | - Jean-Benoît Epiney
- Unit of Acute Neurorehabilitation Unit, Department of Clinical Neurosciences, Service of Neurology, Lausanne University Hospital (Centre Hospitalier Universitaire Vaudois), University of Lausanne, Lausanne, Switzerland
| | - Jane Jöhr
- Unit of Acute Neurorehabilitation Unit, Department of Clinical Neurosciences, Service of Neurology, Lausanne University Hospital (Centre Hospitalier Universitaire Vaudois), University of Lausanne, Lausanne, Switzerland
| | - Alessandro Pincherle
- Unit of Acute Neurorehabilitation Unit, Department of Clinical Neurosciences, Service of Neurology, Lausanne University Hospital (Centre Hospitalier Universitaire Vaudois), University of Lausanne, Lausanne, Switzerland
| | - Marie M Meyer
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital (Centre Hospitalier Universitaire Vaudois), University of Lausanne, Lausanne, Switzerland
| | - Renaud Du Pasquier
- Department of Clinical Neurosciences, Service of Neurology, Lausanne University Hospital (Centre Hospitalier Universitaire Vaudois), University of Lausanne, Lausanne, Switzerland
| | - John O Prior
- Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital (Centre Hospitalier Universitaire Vaudois), University of Lausanne, Lausanne, Switzerland
| | - Karin Diserens
- Unit of Acute Neurorehabilitation Unit, Department of Clinical Neurosciences, Service of Neurology, Lausanne University Hospital (Centre Hospitalier Universitaire Vaudois), University of Lausanne, Lausanne, Switzerland
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