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Brancati GE, Medda P, Perugi G. The effectiveness of electroconvulsive therapy (ECT) for people with bipolar disorder: is there a specific role? Expert Rev Neurother 2025; 25:381-388. [PMID: 40007434 DOI: 10.1080/14737175.2025.2470979] [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] [Received: 09/20/2024] [Accepted: 02/19/2025] [Indexed: 02/27/2025]
Abstract
INTRODUCTION Electroconvulsive therapy (ECT) has been used for over 80 years to treat various neuropsychiatric conditions, including mood and psychotic disorders. Despite its proven efficacy, ECT remains underutilized and underexplored in patients with bipolar disorder (BD). AREAS COVERED This perspective examines the role of ECT in BD, highlighting its effectiveness across depressive, manic, and mixed phases, including those characterized by catatonic or delirious features. Based on these findings, the authors propose a comprehensive transdiagnostic framework to conceptualize ECT-responsive syndromes based on psychomotor, psychotic, and cognitive disturbances. The potential long-term effectiveness of ECT as a mood stabilizer is also suggested, despite the limited amount of literature. Finally, safety issues and alternative options are discussed. EXPERT OPINION The shift in ECT usage, from being a first-line treatment for severe affective episodes to a 'last-resort' option for treatment-resistant depression, may have contributed to increased relapse rates and chronicity. Considering ECT at an early stage, potentially even before any medication trials, is recommended for specific clinical conditions associated with BD and marked by objective psychomotor disturbances, acute psychotic symptoms, and severe cognitive alterations.
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Affiliation(s)
- Giulio Emilio Brancati
- Psychiatry Unit 2, Department of Clinical and Experimental Medicine, University Hospital of Pisa, Pisa, Italy
| | - Pierpaolo Medda
- Psychiatry Unit 2, Department of Clinical and Experimental Medicine, University Hospital of Pisa, Pisa, Italy
| | - Giulio Perugi
- Psychiatry Unit 2, Department of Clinical and Experimental Medicine, University Hospital of Pisa, Pisa, Italy
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Massalha Y, Maggioni E, Callari A, Brambilla P, Delvecchio G. A review of resting-state fMRI correlations with executive functions and social cognition in bipolar disorder. J Affect Disord 2023; 334:337-351. [PMID: 37003435 DOI: 10.1016/j.jad.2023.03.084] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 03/20/2023] [Accepted: 03/25/2023] [Indexed: 04/03/2023]
Abstract
BACKGROUND Deficits in executive functions (EF) and social cognition (SC) are often observed in bipolar disorder (BD), leading to a severe impairment in engaging a functional interaction with the others and the surrounding environment. Therefore, in recent years, resting-state functional magnetic resonance imaging (rs-fMRI) studies on BD tried to identify the neural underpinnings of these cognitive domains by exploring the association between the intrinsic functional connectivity (FC) and the scores in clinical scales evaluating these domains. METHODS A bibliographic search on PubMed and Scopus of studies evaluating the correlations between rs-fMRI findings and EF and/or SC in BD was conducted until March 2022. Ten studies met the inclusion criteria. RESULTS Overall, the results of the reviewed studies showed that BD patients had FC deficits compared to healthy controls (HC) in selective resting-state networks involved in EF and SC, which include the default mode network, especially the link between medial prefrontal cortex and posterior cingulate cortex, and the sensory-motor network. Finally, it also emerged the predominant role of alterations in prefrontal connections in explaining the cognitive deficits in BD patients. LIMITATIONS The heterogeneity of the reviewed studies, in terms of cognitive domains explored and neuroimaging acquisitions, limited the comparability of the findings. CONCLUSIONS rs-fMRI studies could help deepen the brain network alterations underlying EF and SC deficits in BD, pointing the attention on the neuronal underpinning of cognition, whose knowledge may lead to the development of new neurobiological-based approaches to improve the quality of life of these patients.
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Affiliation(s)
- Yara Massalha
- Department of Pathophysiology and Transplantation, University of Milan, 20122 Milan, Italy
| | - Eleonora Maggioni
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20122 Milan, Italy
| | - Antonio Callari
- Fondazione IRCCS Ca' Granda-Ospedale Maggiore Policlinico, Department of Neurosciences and Mental Health, 20122 Milan, Italy
| | - Paolo Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, 20122 Milan, Italy; Fondazione IRCCS Ca' Granda-Ospedale Maggiore Policlinico, Department of Neurosciences and Mental Health, 20122 Milan, Italy
| | - Giuseppe Delvecchio
- Fondazione IRCCS Ca' Granda-Ospedale Maggiore Policlinico, Department of Neurosciences and Mental Health, 20122 Milan, Italy.
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Chakrabarti S, Singh N. Psychotic symptoms in bipolar disorder and their impact on the illness: A systematic review. World J Psychiatry 2022; 12:1204-1232. [PMID: 36186500 PMCID: PMC9521535 DOI: 10.5498/wjp.v12.i9.1204] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 05/02/2022] [Accepted: 08/26/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Lifetime psychotic symptoms are present in over half of the patients with bipolar disorder (BD) and can have an adverse effect on its course, outcome, and treatment. However, despite a considerable amount of research, the impact of psychotic symptoms on BD remains unclear, and there are very few systematic reviews on the subject.
AIM To examine the extent of psychotic symptoms in BD and their impact on several aspects of the illness.
METHODS The Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines were followed. An electronic literature search of six English-language databases and a manual search was undertaken to identify published articles on psychotic symptoms in BD from January 1940 to December 2021. Combinations of the relevant Medical Subject Headings terms were used to search for these studies. Articles were selected after a screening phase, followed by a review of the full texts of the articles. Assessment of the methodological quality of the studies and the risk of bias was conducted using standard tools.
RESULTS This systematic review included 339 studies of patients with BD. Lifetime psychosis was found in more than a half to two-thirds of the patients, while current psychosis was found in a little less than half of them. Delusions were more common than hallucinations in all phases of BD. About a third of the patients reported first-rank symptoms or mood-incongruent psychotic symptoms, particularly during manic episodes. Psychotic symptoms were more frequent in bipolar type I compared to bipolar type II disorder and in mania or mixed episodes compared to bipolar depression. Although psychotic symptoms were not more severe in BD, the severity of the illness in psychotic BD was consistently greater. Psychosis was usually associated with poor insight and a higher frequency of agitation, anxiety, and hostility but not with psychiatric comorbidity. Psychosis was consistently linked with increased rates and the duration of hospitalizations, switching among patients with depression, and poorer outcomes with mood-incongruent symptoms. In contrast, psychosis was less likely to be accompanied by a rapid-cycling course, longer illness duration, and heightened suicidal risk. There was no significant impact of psychosis on the other parameters of course and outcome.
CONCLUSION Though psychotic symptoms are very common in BD, they are not always associated with an adverse impact on BD and its course and outcome.
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Affiliation(s)
- Subho Chakrabarti
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, UT, India
| | - Navdeep Singh
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, UT, India
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Specific cultural factors are associated with the incidence and burden of bipolar disorder: An ecological analysis of data from 115 countries. JOURNAL OF AFFECTIVE DISORDERS REPORTS 2021. [DOI: 10.1016/j.jadr.2021.100203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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The network and dimensionality structure of affective psychoses: an exploratory graph analysis approach. J Affect Disord 2020; 277:182-191. [PMID: 32829194 DOI: 10.1016/j.jad.2020.08.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 05/27/2020] [Accepted: 08/08/2020] [Indexed: 02/08/2023]
Abstract
BACKGROUND The dimensional symptom structure of classes of affective psychoses, and more specifically the relationships between affective and mood symptoms, has been poorly researched. Here, we examined these questions from a network analysis perspective. METHODS Using Exploratory Graph Analysis (EGA) and network centrality parameters, we examined the dimensionality and network structure of 28 mood and psychotic symptoms in subjects diagnosed with schizoaffective disorder (n=124), psychotic bipolar disorder (n=345) or psychotic depression (n=245), such as in the global sample of affective psychoses. RESULTS EGA identified four dimensions in subjects with schizoaffective or bipolar disorders (depression, mania, positive and negative) and three dimensions in subjects with psychotic depression (depression, psychosis and activation). The item composition of dimensions and the most central symptoms varied substantially across diagnoses. The most central (i.e., interconnected) symptoms in schizoaffective disorder, psychotic bipolar disorder and psychotic depression were hallucinations, delusions and depressive mood, respectively. Classes of affective psychoses significantly differed in terms of network structure but not in network global strength. LIMITATIONS The cross-sectional nature of this study precludes conclusions about the causal dynamics between affective and psychotic symptoms. CONCLUSION EGA is a powerful tool for examining the dimensionality and network structure of symptoms in affective psychoses showing that both the interconnectivity pattern between affective and psychotic symptoms and the most central symptoms vary across classes of affective psychoses. The findings outline the value of specific diagnoses in explaining the relationships between mood and affective symptoms.
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Abstract
Mixed states are frequent clinical pictures in psychiatric practice but are not well described in nosologic systems. Debate exists as to defining mixed states. We review factor and cluster analytical studies and prominent clinical/conceptual models of mixed states. While mania involves standard manic symptoms and depression involves standard depressive symptoms, core additional features of the mixed state are, primarily, psychomotor activation and, secondarily, dysphoria. Those features are more pronounced in mixed mania than in mixed depression but are present in both.
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Affiliation(s)
- Sergio A Barroilhet
- Clínica Psiquiátrica Universitaria, Facultad Medicina Universidad de Chile, Santiago, Chile; Department of Psychiatry, Tufts University, School of Medicine, Tufts Medical Center, Pratt Building, 3rd Floor, 800 Washington Street, Box 1007, Boston, MA 02111, USA.
| | - S Nassir Ghaemi
- Department of Psychiatry, Tufts University, School of Medicine, Tufts Medical Center, Pratt Building, 3rd Floor, 800 Washington Street, Box 1007, Boston, MA 02111, USA; Department of Psychiatry, Harvard Medical School, Harvard University, Boston, MA, USA
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Abstract
PURPOSE OF REVIEW Mixed presentations in bipolar disorder have long posed clinical and nosological challenges. The DSM-5 mixed features specifier was developed to provide a more flexible and clinically relevant definition of mixed presentations compared with narrowly defined DSM-IV mixed episodes. However, there is little guidance on treating such presentations. Here, we summarize the evidence for biological treatments of DSM-5 and similarly defined mixed features (MFs). RECENT FINDINGS The literature on treating MFs is almost exclusively based on post hoc analyses. Within this limited evidence base is preliminary positive data for aripiprazole, asenapine, cariprazine, olanzapine, risperidone, and ziprasidone in treating acute mania with MFs, and cariprazine, lurasidone, olanzapine, and ziprasidone for depressive symptoms in depression with MFs. Divalproex may also be efficacious for acute mania with MFs. The few extant maintenance studies suggest that divalproex and olanzapine may have long-term efficacy in those with index MFs or for the prevention of MFs, respectively. The existing evidence suggests that clinicians consider atypical antipsychotics and divalproex for treating acute mixed presentations. However, adequately powered treatment trials-and studies of maintenance and neurostimulation therapies-are needed. Additionally, data-driven techniques to identify relevant symptom clusters may help improve our conceptualization of mixed presentations.
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Affiliation(s)
- Trisha Chakrabarty
- Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC, V6T 2A1, Canada
| | - Kamyar Keramatian
- Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC, V6T 2A1, Canada
| | - Lakshmi N Yatham
- Department of Psychiatry, University of British Columbia, 2255 Wesbrook Mall, Vancouver, BC, V6T 2A1, Canada.
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Tavares DF, Dos Santos CGR, Valiengo LDCL, Klein I, Borrione L, Forte PM, Brunoni AR, Moreno RA. Efficacy, Safety, and Tolerability of Theta-Burst Stimulation in Mixed Depression: Design, Rationale, and Objectives of a Randomized, Double-Blinded, Sham-Controlled Trial. Front Psychiatry 2020; 11:435. [PMID: 32499730 PMCID: PMC7242745 DOI: 10.3389/fpsyt.2020.00435] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 04/28/2020] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION Mixed-specifier mood disorders are probably a different subgroup in terms of response to treatment, socio-demographic parameters, course, and family history. Here we describe the rationale and design of a clinical trial aimed to test the efficacy, safety, and tolerability of a non-pharmacological treatment known as theta-burst stimulation (TBS) for treating the mixed depressive episodes of both bipolar (I or II), and unipolar depression. METHODS The study is designed as a randomized, sham-controlled, double-blinded clinical trial evaluating TBS for the treatment of moderate or severe major depressive episodes with mixed features of patients receiving at least one first or second-line pharmacological treatment for depressive episodes without adequate response. Ninety adult (18 to 65 years old) patients will be enrolled and submitted to 6-week (comprising 5 consecutive days a week sessions for the first 3 weeks and then 2 days a week for a further 3 week) of inhibitory followed by excitatory TBS in dorsolateral prefrontal cortex. Participants will be assessed using clinical and neuropsychological tests before and after the intervention. The primary outcome is change in Montgomery-Åsberg Depression Scale (MADRS) score over time and across groups. Cognitive parameters will also be assessed with neuropsychological tests. RESULTS The clinical results will provide evidence about TBS as an adjunctive treatment for mixed depression treatment and neuropsychological parameters will contribute toward an improved understanding the effects of TBS in cognition. CONCLUSION Our results could introduce a novel therapeutic technique for mixed depressive episodes of both bipolar and unipolar disorders. CLINICAL TRIAL REGISTRATION www.ClinicalTrials.gov, identifier NCT04123301; date of registration: 10/10/2019; URL: https://clinicaltrials.gov/ct2/show/NCT04123301?term=NCT04123301&rank=1.
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Affiliation(s)
| | | | | | - Izio Klein
- Department of Psychiatry, University of São Paulo, São Paulo, Brazil
| | - Lucas Borrione
- Department of Psychiatry, University of São Paulo, São Paulo, Brazil
| | | | - Andre R Brunoni
- Department of Psychiatry, University of São Paulo, São Paulo, Brazil
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Brancati GE, Vieta E, Azorin JM, Angst J, Bowden CL, Mosolov S, Young AH, Perugi G. The role of overlapping excitatory symptoms in major depression: are they relevant for the diagnosis of mixed state? J Psychiatr Res 2019; 115:151-157. [PMID: 31132693 DOI: 10.1016/j.jpsychires.2019.05.014] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 05/11/2019] [Accepted: 05/13/2019] [Indexed: 11/18/2022]
Abstract
BACKGROUND DSM-5 and ICD-11 define mixed depression as the presence of non-overlapping symptoms of opposite polarity during a major depressive episode. However, such a definition has generated controversy. METHODS 2720 patients with major depression, enrolled in BRIDGE-II-MIX cross-sectional study, were subdivided in clusters using a k-medoids algorithm based on 32 clinical features. Clinical variables were compared among clusters. Stepwise logistic regression and random forest predictor importance estimates were used to identify which features best predicted cluster membership. Data-driven criteria were compared with DSM-5 mixed specifier and previously proposed research-based criteria (RBDC). RESULTS Two clusters were identified (MDE ± MX), mainly reflecting differences in current manic symptoms. As expected, MDE + MX showed higher rates of comorbidities and bipolar features, more previous depressive episodes and suicide attempts, shorter duration of current MDE and lower age at onset. Seven clinical features among the original 32 proved to be the best predictors of cluster membership. Derived criteria perfectly allocated subjects in clusters, requiring at least four features out of the following seven: irritability, emotional lability, psychomotor agitation, distractibility, mood reactivity, absence of reduced appetite, and absence of psychomotor retardation. RBDC showed a better performance than DSM-5 in identifying MDE + MX subjects. CONCLUSION Our results strongly suggest a predominant role for overlapping "manic" symptoms in defining mixed depressive states. Mixed depression is better identified by the presence of excitatory features shared with mania and atypical features rather than by non-overlapping manic symptoms.
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Affiliation(s)
- Giulio E Brancati
- University of Pisa, Pisa, Italy; Sant'Anna School of Advanced Studies, Pisa, Italy
| | - Eduard Vieta
- Barcelona Bipolar Disorders Program, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | | | - Jules Angst
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
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Personalized and precision medicine as informants for treatment management of bipolar disorder. Int Clin Psychopharmacol 2019; 34:189-205. [PMID: 30932919 DOI: 10.1097/yic.0000000000000260] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
DSM-5 diagnostic categories, defined by a set of psychopathological symptoms are heterogeneous conditions that may include different biological entities, with distinct etiopathogenesis, different courses and requiring different treatment management. For bipolar disorder the major evidences for this lack of validity are the long paths before a proper diagnosis, the inconsistence of treatment guidelines, the long phases of pharmacological adjustment and the low average of long-term treatment response rates. Personalized medicine for mental disorders aims to couple established clinical-pathological indexes with new molecular profiling to create diagnostic, prognostic and therapeutic strategies precisely tailored to each patient. Regarding bipolar disorder, the clinical history and presentation are still the most reliable markers in stratifying patients and guiding therapeutic management, despite the research goes to great lengths to develop new neuropsychological or biological markers that can reliably predict individual therapy effectiveness. We provide an overview of the advancements in personalized medicine in bipolar disorder, with particular attention to how psychopathology, age at onset, comorbidity, course and staging, genetic and epigenetic, imaging and biomarkers can influence treatment management and provide an integration to the conventional treatment guidelines. This approach may offer a new and rational path for the development of treatments for targeted subgroups of patients with bipolar disorder.
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Affiliation(s)
- Giulio Perugi
- Department of Experimental and Clinic Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy
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Perugi G, Cesari D, Vannucchi G, Maccariello G, Barbuti M, De Bartolomeis A, Fagiolini A, Maina G. The impact of affective temperaments on clinical and functional outcome of Bipolar I patients that initiated or changed pharmacological treatment for mania. Psychiatry Res 2018; 261:473-480. [PMID: 29360052 DOI: 10.1016/j.psychres.2018.01.035] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Revised: 01/03/2018] [Accepted: 01/15/2018] [Indexed: 11/18/2022]
Abstract
BACKGROUND Affective temperaments have been shown to impact on the clinical manifestations and the course of bipolar disorder. We investigated their influence on clinical features and functional outcome of manic episode. METHOD In a naturalistic, multicenter, national study, a sample of 194 BD I patients that initated or changed pharmacological treatment for DSM-IV-TR manic episode underwent a comprehensive evaluation including briefTEMPS-M, CTQ, YMRS, MADRS, FAST, and CGI-BP. Factorial, correlation and comparative analyses were conducted on different temperamental subtypes. RESULTS Depressive, cyclothymic, irritable and anxious temperaments resulted significantly correlated with each other. On the contrary, hyperthymic temperament scores were not correlated with the other temperamental dimensions. The factorial analysis of the briefTEMPS-M sub-scales total scores allowed the extraction of two factors: the Cyclothymic-Depressive-Anxious (Cyclo-Dep-Anx) and the Hyperthymic. At final evaluation Dominant Cyclo-Dep-Anx patients reported higer scores in MADRS and in CTQ emotional neglect and abuse subscale scores than Dominant Hyperthymic patients. The latter showed a greater functional outcome than Cyclo-Dep-Anx patients. CONCLUSIONS Affective temperaments seem to influence the course of mania. Childhood emotional abuse and neglect were related to the cyclothymic disposition. Cyclothymic subjects showed more residual depressive symptoms and Hyperthymic temperament is associated with a better short-term functional outcome.
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Affiliation(s)
- G Perugi
- Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, Italy.
| | - D Cesari
- Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, Italy
| | - G Vannucchi
- Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, Italy
| | - G Maccariello
- Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, Italy
| | - M Barbuti
- Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, Italy
| | - A De Bartolomeis
- Laboratory of Molecular and Translational Psychiatry, Department of Neuroscience, Section of Psychiatry, University Medical School of Naples Federico II, Italy
| | - A Fagiolini
- Department of Molecular Medicine, Psychiatry Division, University of Siena, Italy
| | - G Maina
- Department of Neurosciences, Polo Universitario San Luigi Gonzaga, University of Turin, Italy
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Shafer A, Dazzi F, Ventura J. Factor structure of the Brief Psychiatric Rating Scale - Expanded (BPRS-E) in a large hospitalized sample. J Psychiatr Res 2017; 93:79-86. [PMID: 28605626 DOI: 10.1016/j.jpsychires.2017.05.011] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Revised: 04/21/2017] [Accepted: 05/25/2017] [Indexed: 10/19/2022]
Abstract
Meta-analytically derived models of the BPRS-E factor structure were tested on a large (n = 33,903) hospitalized sample using confirmatory factor analysis. A modified four factor model (Positive symptoms, Negative symptoms, Affect, and Activation) containing 12 core BPRS-E symptoms based on the meta-analytic models had excellent model fit. An additional five factor, 15 core symptom model, which added a Disorganization factor consistent with the pentagonal model of schizophrenic symptoms also had support with generally good fit. These factors demonstrated acceptable reliability as measured by coefficient alpha (M = 0.77). These factors were compared across three major diagnostic classes and indicated clinically relevant differences between these groups such as depressed patients having higher Affect scores (d = 1.03), manic-mixed episode patients having higher Activation scores (d = 0.83) and schizophrenic patients having higher Positive Symptom scores (d = 0.89) providing evidence for the validity of these factors. Further exploratory factor analyses provided support for the factors of Positive symptoms, Negative symptoms, Affect, and Activation with additional smaller and less robust factors corresponding to Resistance emerging as a fifth factor and Disorganization emerging as a sixth factor.
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Affiliation(s)
- Alan Shafer
- Texas Department of State Health Services, Austin, Texas, United States.
| | - Federico Dazzi
- TECOS Department, Guglielmo Marconi University, Rome, Italy
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Abstract
The study aims to identify independent predictors of physical restraint in acute psychiatric patients and to determine the predictive power of a risk assessment model centered on psychopathological dimensions. We included 1552 patients admitted to a psychiatric intensive care unit over a 5-year period. Patients were rated on the Brief Psychiatric Rating Scale (BPRS-E) at admission. Principal axis factoring (PAF) with varimax rotation was performed on BPRS-E items to identify psychopathological factors. Multiple logistic regression analysis was performed. PAF pointed six factors: positive symptoms, negative symptoms, resistance, activation, negative affect, and disorganization. Male sex, younger age, proposal for compulsory admission, severity of symptoms, resistance, activation, and disorganization were identified as independent predictors. Negative symptoms and negative affect were instead protective factors. The BPRS-E factors, when added to other sociodemographic and clinical variables, significantly increased the predictive power of the model. Our findings suggest that a systematic evaluation of the psychopathological dimensions can be usefully included in the early risk assessment of restraint.
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Exclusion of overlapping symptoms in DSM-5 mixed features specifier: heuristic diagnostic and treatment implications. CNS Spectr 2017; 22:126-133. [PMID: 27869049 DOI: 10.1017/s1092852916000614] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
This article focuses on the controversial decision to exclude the overlapping symptoms of distractibility, irritability, and psychomotor agitation (DIP) with the introduction of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) mixed features specifier. In order to understand the placement of mixed states within the current classification system, we first review the evolution of mixed states. Then, using Kraepelin's original classification of mixed states, we compare and contrast his conceptualization with modern day definitions. The DSM-5 workgroup excluded DIP symptoms, arguing that they lack the ability to differentiate between manic and depressive states; however, accumulating evidence suggests that DIP symptoms may be core features of mixed states. We suggest a return to a Kraepelinian approach to classification-with mood, ideation, and activity as key axes-and reintegration of DIP symptoms as features that are expressed across presentations. An inclusive definition of mixed states is urgently needed to resolve confusion in clinical practice and to redirect future research efforts.
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Abstract
Mixed states address the relationships between episodes and the course of an illness, presenting significant clinical challenges. Recurrent affective disorders were described thousands of years ago as dimensional disturbances of the basic elements of behavior, combining the characteristics of what we would now consider manic and depressive episodes. It was recognized from the beginning that combinations of depressive and manic features are associated with a severe illness course, including increased suicide risk. Early descriptions of affective disorders formulated them as systemic illnesses, a concept supported by more recent data. Descriptions of affective disorders and their course, including mixed states, became more systematic during the 19th century. Structured criteria achieved importance with evidence that, in addition to early onset, frequent recurrence, and comorbid problems, mixed states had worse treatment outcomes than other episodes. In contrast to 2000 years of literature on recurrent affective episodes and mixed states, the unipolar-bipolar disorder distinction was formalized in the mid-20th century. Mixed-state criteria, initially developed for bipolar disorder, ranged from fully combined depression and mania to the DSM-5 criteria, no longer limited to bipolar disorder, of a primary depressive or manic episode with at least three symptoms of the other episode type. The challenges involved in understanding and identifying mixed states center largely on what drives them, including (1) their formulation as either categorical or dimensional constructs, (2) the specificity of their relationships to depressive or manic episodes, and (3) specificity for bipolar versus major depressive disorder. Their existence challenges the distinction between bipolar and major depressive disorders. The challenges involved in identifying the underlying physiological mechanisms go to the heart of these questions.
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Dazzi F, Shafer A, Lauriola M. Meta-analysis of the Brief Psychiatric Rating Scale - Expanded (BPRS-E) structure and arguments for a new version. J Psychiatr Res 2016; 81:140-51. [PMID: 27451107 DOI: 10.1016/j.jpsychires.2016.07.001] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2016] [Revised: 06/24/2016] [Accepted: 07/01/2016] [Indexed: 11/18/2022]
Abstract
The factor structure of the 24 item BPRS-E was examined to determine the effect of additional items on consensus scales derived primarily from the 18 item BPRS. A meta-analysis (k = 32, n = 10,084) of previous factor analyses of the BPRS-E was conducted using both a co-occurrence similarity matrix and reproduced correlations. Components generally supporting the consensus scales were found suggesting four relatively invariant subscales: Affect (defined by the core items: anxiety, guilt, depression, suicidality), Positive Symptoms (hallucinations, unusual thought content, suspiciousness, grandiosity), Negative Symptoms (blunted affect, emotional withdrawal, motor retardation) and Activation (excitement, motor hyperactivity, elevated mood, distractibility). The additional BPRS-E items primarily contribute directly to a clear Activation dimension which expands and clarifies the traditional 18 item BPRS structure. Though not statistically supported in this meta-analysis, a fifth factor describing disorganization (conceptual disorganization, disorientation, self-neglect, mannerisms-posturing) was present in some analyses and should be considered. The five factor solution including a disorganization factor has theoretical validity based on the pentagonal model of schizophrenia while also containing the same four primary dimensions that were statistically supported in this meta-analysis. A new version of the BPRS (BPRS-26) with modified and additional items is presented. BPRS-26 is supposed to enhance the stability and the comprehensiveness of the scale and to more closely measure this five factor model.
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Affiliation(s)
- Federico Dazzi
- TECOS Department, Guglielmo Marconi University, V. Plinio, 44, 00193, Rome, Italy.
| | - Alan Shafer
- Texas Department of State Health Services, Mental Health and Substance Abuse Division, Austin, TX, USA
| | - Marco Lauriola
- Department of Developmental and Social Psychology, Sapienza University of Rome, Rome, Italy
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Medda P, Toni C, Luchini F, Giorgi Mariani M, Mauri M, Perugi G. Catatonia in 26 patients with bipolar disorder: clinical features and response to electroconvulsive therapy. Bipolar Disord 2015; 17:892-901. [PMID: 26643014 DOI: 10.1111/bdi.12348] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2015] [Accepted: 09/19/2015] [Indexed: 12/14/2022]
Abstract
OBJECTIVES We describe the clinical characteristics and short-term outcomes of a sample of inpatients with bipolar disorder with severe catatonic features resistant to pharmacological treatment. METHODS The study involved 26 catatonic patients, resistant to a trial of benzodiazepines, and then treated with electroconvulsive therapy (ECT). All patients were evaluated prior to and one week following the ECT course using the Bush-Francis Catatonia Rating Scale (BFCRS) and the Clinical Global Impression (CGI). RESULTS In our sample, women were over-represented (n = 23, 88.5%), the mean (± standard deviation) age was 49.5 ± 12.5 years, the mean age at onset was 28.1 ± 12.8 years, and the mean number of previous mood episodes was 5.3 ± 2.9. The mean duration of catatonic symptoms was 16.7 ± 11.8 (range: 3-50) weeks, and personal history of previous catatonic episodes was present in 10 patients (38.5%). Seventeen (65.4%) patients showed abnormalities at cerebral computerized tomography and/or magnetic resonance imaging and neurological comorbidities were observed in 15.4% of the sample. Stupor, rigidity, staring, negativism, withdrawal, and mutism were observed in more than 90% of patients. At the end of the ECT course, 21 patients (80.8%) were classified as responders. The BFCRS showed the largest percentage of improvement, with an 82% reduction of the initial score. The number of previous mood episodes was significantly lower and the use of anticholinergic and dopamine-agonist medications was significantly more frequent in non-responders than in responders. CONCLUSIONS Our patients with bipolar disorder had predominantly retarded catatonia, frequent previous catatonic episodes, indicating a recurrent course, and high rates of concomitant brain structure alterations. However, ECT was a very effective treatment for catatonia in this patient group that was resistant to benzodiazepines.
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Affiliation(s)
- Pierpaolo Medda
- Department of Experimental and Clinic Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy
| | - Cristina Toni
- Institute of Behavioural Science, "G. De Lisio", Pisa, Italy
| | - Federica Luchini
- Department of Experimental and Clinic Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy
| | - Michela Giorgi Mariani
- Department of Experimental and Clinic Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy
| | - Mauro Mauri
- Department of Experimental and Clinic Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy
| | - Giulio Perugi
- Department of Experimental and Clinic Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy.,Institute of Behavioural Science, "G. De Lisio", Pisa, Italy
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Reinares M, Bonnín CDM, Hidalgo-Mazzei D, Undurraga J, Mur M, Nieto E, Sáez C, Vieta E. Making sense of DSM-5 mania with depressive features. Aust N Z J Psychiatry 2015; 49:540-9. [PMID: 25943979 DOI: 10.1177/0004867415585583] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
OBJECTIVE The assessment of the depressive component during mania has become critical for the accurate diagnosis of mixed states, which were defined very narrowly in the past classification systems before Diagnostic and Statistical Manual of Mental Disorders (5th ed.). The aim of this study was to compare socio-demographic, clinical and therapeutic characteristics, as well as clinical and functional outcomes, between manic patients with and without mixed features to validate the relevance of the Diagnostic and Statistical Manual of Mental Disorders (5th ed.) mixed specifier. METHODS This is a subanalysis of a multicentre naturalistic study MANía Aguda y COnsumo de Recursos (acute mania and health resource consumption [MANACOR]) on the burden of mania in bipolar patients from four hospitals in Catalonia (Spain). The sample consisted of 169 adult patients presenting a manic episode and systematically assessed during a 6-month period. RESULTS A total of 27% (n = 46/169) of manic patients showed mixed features. Total number of episodes (p = 0.027), particularly depressive and mixed, was greater in manic patients with mixed features, as well as depressive onset (p = 0.018), suicide ideation (p = 0.036), rapid cycling (p = 0.035) and personality disorders (p = 0.071). In contrast, a higher percentage of pure manic subjects were inpatients (p = 0.035), started the illness with mania (p = 0.018) and showed family history of bipolar disorder (p = 0.037), congruent psychotic symptoms (p = 0.001) and cannabis use (p = 0.006). At baseline, pure manic patients received more risperidone (p = 0.028), while mixed patients received more valproate (p = 0.049) and antidepressants (p = 0.005). No differences were found in syndromic recovery at the end of the study. However, depressive change was higher in the mixed group (p = 0.010), while manic change was higher in the pure manic group (p = 0.029). At the end of follow-up, the group with mixed features showed a significant trend towards higher psychosocial dysfunction. CONCLUSION A total of 27% of manic patients showed mixed features. Groups differed regarding clinical characteristics, course of illness, psychosocial functioning, prescribed treatment and symptom progress. Depressive symptoms in mania should be routinely assessed and considered to guide treatment.
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Affiliation(s)
- María Reinares
- Bipolar Disorders Program, Institute of Neuroscience, Hospital Clínic de Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain
| | - Caterina del Mar Bonnín
- Bipolar Disorders Program, Institute of Neuroscience, Hospital Clínic de Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain
| | - Diego Hidalgo-Mazzei
- Bipolar Disorders Program, Institute of Neuroscience, Hospital Clínic de Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain
| | - Juan Undurraga
- Department of Psychiatry, Facultad de Medicina Clínica Alemana, Universidad del Desarrollo, Santiago de Chile, Chile
| | - Maria Mur
- Psychiatric Service, Hospital Santa Maria, University of Lleida, IRBLleida (Biomedicine Research Institute), Lleida, Spain
| | - Evaristo Nieto
- Althaia, Xarxa Assistencial Universitària de Manresa, Manresa, Spain
| | - Cristina Sáez
- University Psychiatric Hospital, Institut Pere Mata, CIBERSAM, Reus, Spain
| | - Eduard Vieta
- Bipolar Disorders Program, Institute of Neuroscience, Hospital Clínic de Barcelona, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain
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Abstract
The DSM-5 definition of mixed features "specifier" of manic, hypomanic and major depressive episodes captures sub-syndromal non-overlapping symptoms of the opposite pole, experienced in bipolar (I, II, and not otherwise specified) and major depressive disorders. This combinatory model seems to be more appropriate for less severe forms of mixed state, in which mood symptoms are prominent and clearly identifiable. Sub-syndromal depressive symptoms have been frequently reported to co-occur during mania. Similarly, manic or hypomanic symptoms during depression resulted common, dimensionally distributed, and recurrent. The presence of mixed features has been associated with a worse clinical course and high rates of comorbidities including anxiety, personality, alcohol and substance use disorders and head trauma or other neurological problems. Finally, mixed states represent a major therapeutic challenge, especially when you consider that these forms tend to have a less favorable response to drug treatments and require a more complex approach than non-mixed forms.
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Affiliation(s)
- Giulio Perugi
- Department of Experimental and Clinic Medicine, Section of Psychiatry, University of Pisa, Pisa, Italy,
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