1
|
Carmona González M, Rodríguez Parejo G, Murillo García D, Montero Peña C. [Update on the approach to pneumonias in Primary Care]. Semergen 2025; 51:102508. [PMID: 40345024 DOI: 10.1016/j.semerg.2025.102508] [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: 12/24/2024] [Revised: 03/17/2025] [Accepted: 03/22/2025] [Indexed: 05/11/2025]
Abstract
Community-acquired pneumonia (CAP) is an acute inflammation of the lung parenchyma of infectious origin, with higher incidence in males, extremes of age and people with comorbidities. Clinically classified as typical and atypical, it presents different radiological patterns, where lung ultrasound is more sensitive than radiography for its diagnosis, being important the microbiological study for a directed treatment. Thus, empirical treatment of CAP should be started early, considering risk factors and adjusting according to age and weight in children, whose prevention includes pneumococcal and influenza vaccination. There are various scales for deciding hospital or ICU admission. This review provides an update on the epidemiology, diagnosis, treatment and prevention of CAP, highlighting the most relevant aspects for its management.
Collapse
Affiliation(s)
- M Carmona González
- Medicina Familiar y Comunitaria, Centro de Salud Don Benito Oeste, Don Benito, Badajoz, España.
| | - G Rodríguez Parejo
- Medicina Familiar y Comunitaria, Centro de Salud Don Benito Oeste, Don Benito, Badajoz, España
| | - D Murillo García
- Medicina Familiar y Comunitaria, Centro de Salud de Alconchel, Alconchel, Badajoz, España; Miembro de Grupo de Trabajo de Respiratorio; Diabetes, Endocrinología y Metabolismo; Oftalmología y Otorrinolaringología de la SEMERGEN, España
| | - C Montero Peña
- Servicio de Urgencias de Atención Primaria de Bahía de Cádiz La Janda, Servicio Andaluz de Salud, Cádiz, España; Miembro de Grupo de Trabajo de Ecografía y Respiratorio de la SEMERGEN, España
| |
Collapse
|
2
|
Shin HJ, Lee EH, Han K, Ryu L, Kim EK. Development of a new prognostic model to predict pneumonia outcome using artificial intelligence-based chest radiograph results. Sci Rep 2024; 14:14415. [PMID: 38909087 PMCID: PMC11193777 DOI: 10.1038/s41598-024-65488-1] [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: 06/28/2023] [Accepted: 06/20/2024] [Indexed: 06/24/2024] Open
Abstract
This study aimed to develop a new simple and effective prognostic model using artificial intelligence (AI)-based chest radiograph (CXR) results to predict the outcomes of pneumonia. Patients aged > 18 years, admitted the treatment of pneumonia between March 2020 and August 2021 were included. We developed prognostic models, including an AI-based consolidation score in addition to the conventional CURB-65 (confusion, urea, respiratory rate, blood pressure, and age ≥ 65) and pneumonia severity index (PSI) for predicting pneumonia outcomes, defined as 30-day mortality during admission. A total of 489 patients, including 310 and 179 patients in training and test sets, were included. In the training set, the AI-based consolidation score on CXR was a significant variable for predicting the outcome (hazard ratio 1.016, 95% confidence interval [CI] 1.001-1.031). The model that combined CURB-65, initial O2 requirement, intubation, and the AI-based consolidation score showed a significantly high C-index of 0.692 (95% CI 0.628-0.757) compared to other models. In the test set, this model also demonstrated a significantly high C-index of 0.726 (95% CI 0.644-0.809) compared to the conventional CURB-65 and PSI (p < 0.001 and 0.017, respectively). Therefore, a new prognostic model incorporating AI-based CXR results along with traditional pneumonia severity score could be a simple and useful tool for predicting pneumonia outcomes in clinical practice.
Collapse
Affiliation(s)
- Hyun Joo Shin
- Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yongin Severance Hospital, Yonsei University College of Medicine, 363, Dongbaekjukjeon-daero, Giheung-gu, Yongin-si, Gyeonggi-do, 16995, South Korea
- Center for Digital Health, Yongin Severance Hospital, Yonsei University College of Medicine, 363, Dongbaekjukjeon-daero, Giheung-gu16995, Yongin-si, Gyeonggi-do, South Korea
| | - Eun Hye Lee
- Division of Pulmonology, Allergy and Critical Care Medicine, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, 363, Dongbaekjukjeon-daero, Giheung-gu, Yongin-si, Gyeonggi-do, 16995, South Korea
- Center for Digital Health, Yongin Severance Hospital, Yonsei University College of Medicine, 363, Dongbaekjukjeon-daero, Giheung-gu16995, Yongin-si, Gyeonggi-do, South Korea
| | - Kyunghwa Han
- Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, 03722, South Korea
| | - Leeha Ryu
- Department of Biostatistics and Computing, Yonsei University Graduate School, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, 03722, South Korea
| | - Eun-Kyung Kim
- Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yongin Severance Hospital, Yonsei University College of Medicine, 363, Dongbaekjukjeon-daero, Giheung-gu, Yongin-si, Gyeonggi-do, 16995, South Korea.
| |
Collapse
|
3
|
Noguchi S, Katsurada M, Yatera K, Nakagawa N, Xu D, Fukuda Y, Shindo Y, Senda K, Tsukada H, Miki M, Mukae H. Utility of pneumonia severity assessment tools for mortality prediction in healthcare-associated pneumonia: a systematic review and meta-analysis. Sci Rep 2024; 14:12964. [PMID: 38839837 PMCID: PMC11153623 DOI: 10.1038/s41598-024-63618-3] [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: 05/02/2023] [Accepted: 05/30/2024] [Indexed: 06/07/2024] Open
Abstract
Accurate prognostic tools for mortality in patients with healthcare-associated pneumonia (HCAP) are needed to provide appropriate medical care, but the efficacy for mortality prediction of tools like PSI, A-DROP, I-ROAD, and CURB-65, widely used for predicting mortality in community-acquired and hospital-acquired pneumonia cases, remains controversial. In this study, we conducted a systematic review and meta-analysis using PubMed, Cochrane Library (trials), and Ichushi web database (accessed on August 22, 2022). We identified articles evaluating either PSI, A-DROP, I-ROAD, or CURB-65 and the mortality outcome in patients with HCAP, and calculated the pooled sensitivities, specificities, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and the summary area under the curves (AUCs) for mortality prediction. Additionally, the differences in predicting prognosis among these four assessment tools were evaluated using overall AUCs pooled from AUC values reported in included studies. Eventually, 21 articles were included and these quality assessments were evaluated by QUADAS-2. Using a cut-off value of moderate in patients with HCAP, the range of pooled sensitivity, specificity, PLR, NLR, and DOR were found to be 0.91-0.97, 0.15-0.44, 1.14-1.66, 0.18-0.33, and 3.86-9.32, respectively. Upon using a cut-off value of severe in those patients, the range of pooled sensitivity, specificity, PLR, NLR, and DOR were 0.63-0.70, 0.54-0.66, 1.50-2.03, 0.47-0.58, and 2.66-4.32, respectively. Overall AUCs were 0.70 (0.68-0.72), 0.70 (0.63-0.76), 0.68 (0.64-0.73), and 0.67 (0.63-0.71), respectively, for PSI, A-DROP, I-ROAD, and CURB-65 (p = 0.66). In conclusion, these severity assessment tools do not have enough ability to predict mortality in HCAP patients. Furthermore, there are no significant differences in predictive performance among these four severity assessment tools.
Collapse
Affiliation(s)
- Shingo Noguchi
- Department of Respiratory Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan.
- Department of Respiratory Medicine, Tobata General Hospital, Kitakyushu, Japan.
| | - Masahiro Katsurada
- Department of Respiratory Medicine, Kita-Harima Medical Center, Ono, Japan
| | - Kazuhiro Yatera
- Department of Respiratory Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Natsuki Nakagawa
- Department of Respiratory Medicine, The University of Tokyo Hospital, Tokyo, Japan
| | - Dongjie Xu
- Department of Pulmonary and Respiratory Medicine, Japanese Red Cross Sendai Hospital, Sendai, Japan
| | - Yosuke Fukuda
- Division of Respiratory Medicine and Allergology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Yuichiro Shindo
- Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kazuyoshi Senda
- Department of Pharmacy, Kinjo Gakuin University, Nagoya, Japan
| | - Hiroki Tsukada
- Department of Infection Control, The Jikei University Kashiwa Hospital, Kashiwa, Japan
| | - Makoto Miki
- Department of Pulmonary and Respiratory Medicine, Japanese Red Cross Sendai Hospital, Sendai, Japan
| | - Hiroshi Mukae
- Unit of Translational Medicine, Department of Respiratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| |
Collapse
|
4
|
Jia Y, Qi D, Wang T, Zhang Y, Chen X, Deng H, Meng D. The role of pre-onset hair hormone in predicting the prognosis of patients with severe pneumonia and acute COVID-19 outbreak. Heliyon 2024; 10:e30636. [PMID: 38765161 PMCID: PMC11098831 DOI: 10.1016/j.heliyon.2024.e30636] [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: 01/17/2024] [Revised: 05/01/2024] [Accepted: 05/01/2024] [Indexed: 05/21/2024] Open
Abstract
Numerous research works have investigated the potential impact of endocrine hormones on the severity of COVID-19-related pneumonia in individuals. However, there are few studies on the effect of pre-onset neuroendocrine hormones on the prognosis of COVID-19 patients. This study looked into the prognostic value of pre-onset hair hormone levels in COVID-19 infected individuals. This study included 27 patients with COVID-19 and collected patient information and laboratory indicators. The hormone levels in hair were determined by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Within 28 days, 63 % of the patients in this study passed away. With 28-day mortality as the outcome index, urea nitrogen, CURB-65 score and pneumonia severity score (PSI) of 2 groups were statistically significant (P < 0.05). Among all hormone levels detected in hair, only progesterone level was substantially correlated negatively with COVID-19 patients' 28-day mortality(P < 0.05). The level of progesterone in hair was substantially adversely connected with the death rate at 28 days of COVID-19 patients, according to correlation and logistic regression analysis(P < 0.05). Among patients with COVID-19 pneumonia, hair progesterone levels were strongly associated with 28-day mortality, which emphasizes hair progesterone's importance as a prognostic factor.
Collapse
Affiliation(s)
- Yuanyuan Jia
- Rehabilitation Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, Jiangsu, China
| | - Deyi Qi
- School of Biological Science & Medical Engineering, Southeast University, Nanjing, 211189, Jiangsu, China
| | - Tiantian Wang
- Rehabilitation Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, Jiangsu, China
| | - Yuyao Zhang
- Rehabilitation Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, Jiangsu, China
| | - Xufeng Chen
- Department of Emergency and Critical Care Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, Jiangsu, China
| | - Huihua Deng
- School of Biological Science & Medical Engineering, Southeast University, Nanjing, 211189, Jiangsu, China
| | - Dianhuai Meng
- Rehabilitation Center, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, Jiangsu, China
| |
Collapse
|
5
|
Carriel J, Muñoz-Jaramillo R, Bolaños-Ladinez O, Heredia-Villacreses F, Menéndez-Sanchón J, Martin-Delgado J. CURB-65 as a predictor of 30-day mortality in patients hospitalized with COVID-19 in Ecuador: COVID-EC study. Rev Clin Esp 2022; 222:37-41. [PMID: 34996587 PMCID: PMC8086802 DOI: 10.1016/j.rceng.2020.10.006] [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] [Received: 07/14/2020] [Accepted: 10/14/2020] [Indexed: 11/27/2022]
Abstract
Objective This article aims to assess the utility of CURB-65 in predicting 30-day mortality in adult patients hospitalized with COVID-19. Methods This work is a cohort study conducted between March 1 and April 30, 2020 in Ecuador. Results A total of 247 patients were included (mean age 60 ± 14 years, 70% men, overall mortality 41.3%). Patients with CURB-65 ≥ 2 had a higher mortality rate (57 vs. 17%, p < .001) that was associated with other markers of risk: advanced age, hypertension, overweight/obesity, kidney failure, hypoxemia, requirement for mechanical ventilation, or onset of respiratory distress. Conclusions CURB-65 ≥ 2 was associated with higher 30-day mortality on the univariate (Kaplan–Meier estimator) and multivariate (Cox regression) analysis.
Collapse
Affiliation(s)
- J Carriel
- Servicio de Medicina Interna, Hospital Universitario La Zarzuela, Madrid, Spain; Instituto de Investigación e Innovación en Salud integral, Facultad de Ciencias Médicas, Universidad Católica de Santiago de Guayaquil, Guayaquil, Ecuador.
| | - R Muñoz-Jaramillo
- Servicio de Gastroenterología, Hospital IESS Ceibos, Guayaquil, Ecuador
| | - O Bolaños-Ladinez
- Servicio de Medicina Intensiva, Servicio de Cardiología, Hospital Clínica San Francisco, Guayaquil, Ecuador
| | - F Heredia-Villacreses
- Servicio de Medicina Intensiva, Servicio de Cardiología, Hospital Clínica San Francisco, Guayaquil, Ecuador
| | - J Menéndez-Sanchón
- Servicio de Medicina Interna, Hospital General Guasmo Sur, Guayaquil, Ecuador
| | - J Martin-Delgado
- Grupo de Investigación Atenea, Fundación para el Fomento de la Investigación Sanitaria y Biomédica, San Juan de Alicante, Alicante, Spain
| | | |
Collapse
|
6
|
Lv C, Chen Y, Shi W, Pan T, Deng J, Xu J. Comparison of Different Scoring Systems for Prediction of Mortality and ICU Admission in Elderly CAP Population. Clin Interv Aging 2021; 16:1917-1929. [PMID: 34737556 PMCID: PMC8560064 DOI: 10.2147/cia.s335315] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 10/21/2021] [Indexed: 01/22/2023] Open
Abstract
Background The incidence and mortality rate of community-acquired pneumonia (CAP) in elderly patients were higher than the younger population. Different scoring systems, including The quick Sequential Organ Function Assessment (qSOFA), Combination of Confusion, Urea, Respiratory Rate, Blood Pressure, and Age ≥65 (CURB-65), Modified Early Warning Score (MEWS) and National Early Warning Score (NEWS), were used widely for predicting mortality and ICU admission of patients with community-acquired pneumonia (CAP). This study aimed to identify the most suitable score system for better hospitalization. Methods We retrospectively analyzed elderly patients with CAP in Minhang Hospital, Fudan University from 1 January 2018 to 1 January 2020. We recorded information of the patients including age, gender, underlying disease, consciousness state, vital signs, physiological and laboratory variables and further calculated the qSOFA, CURB-65, MEWS, and NEWS scores. Receiver operating characteristic (ROC) curves were used to predict the mortality risk and ICU admission. Kaplan–Meier survival curves were used in survival rate. Results In total, 1044 patients were selected for analysis and divided into two groups, namely survivor groups (902 cases) and non-survivor groups (142 cases). Depending on ICU admission enrolled patients were classified into ICU admission (n = 102) and non-ICU admission (n = 942) groups. Mortality expressed as AUC values were 0.844 (p < 0.001), 0.868 (p < 0.001), 0.927 (p < 0.001) and 0.892 (p < 0.001) for qSOFA, CURB 65, MEWS and NEWS, respectively. There were clear differences in MEWS vs CURB-65 (p < 0.0001), MEWS vs NEWS (p < 0.001), MEWS vs qSOFA (p < 0.0001). For ICU-admission, the AUC values of qSOFA, CURB-65, MEWS and NEWS scores were 0.866 (p < 0.001), 0.854 (p < 0.001), 0.922 (p < 0.001), 0.976 (p < 0.001), respectively. There were significant differences in NEWS vs CURB-65 (p < 0.0001), NEWS vs MEWS (p < 0.001), NEWS vs qSOFA (p < 0.0001). Conclusion We explored the outcome prediction values of CURB65, qSOFA, MEWS and NEWS for patients aged 65-years and older with community-acquired pneumonia. We found that MEWS showed superiority over the other severity scores in predicting hospital mortality, and NEWS showed superiority over the other scores in predicting ICU admission.
Collapse
Affiliation(s)
- Chunxin Lv
- Oncology Department, Punan Hospital of Pudong New District, Shanghai, People's Republic of China
| | - Yue Chen
- Centre for Cancer Genomics and Computational Biology, Barts Cancer Institute, London, EC1M 6BE, UK
| | - Wen Shi
- Department of Dermatology, Punan Hospital of Pudong New District, Shanghai, People's Republic of China
| | - Teng Pan
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, People's Republic of China
| | - Jinhai Deng
- Key Laboratory of Medical Immunology, Department of Immunology, Peking University Center for Human Disease Genomics, Ministry of Health, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, People's Republic of China
| | - Jiayi Xu
- Geriatric Department, Fudan University, Minhang Hospital, Shanghai, 201100, People's Republic of China
| |
Collapse
|
7
|
Bae SJ, Kim K, Yun SJ, Lee SH. Sarcopenia measured with paraspinous muscle using computed tomography for predicting prognosis in elderly pneumonia patients. HONG KONG J EMERG ME 2021. [DOI: 10.1177/10249079211041872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background: In the elderly, diagnostic findings of pneumonia are often atypical. Computed tomography was recommended for the diagnosis of pneumonia in elderly patients. Recently, the usage of computed tomography as a screening tool for pneumonia in emergency departments has increased. Sarcopenia is defined as the loss of skeletal muscle mass and strength with aging. In this study, the association between sarcopenia and prognosis measured through computed tomography was evaluated compared to CURB-65. Methods: This study was conducted on patients diagnosed with pneumonia through computed tomography from 1 March 2018 to 31 March 2020. The paraspinous muscle size and attenuation were measured at a level located at the T12 pedicle level on axial computed tomography images. Paraspinous muscle size was presented as paraspinous muscle index. Differences in the prognostic performance among the paraspinous muscle size and attenuation, and CURB-65 were evaluated by the area under the receiver operating characteristic curve. Results: A total of 509 patients were included and 132 patients (25.9%) were admitted to the ICU, and 58 patients (11.4%) died in hospital. Paraspinous muscle index was the significant factor for predicting in-hospital mortality and ICU admission. The area under the receiver operating characteristic value of paraspinous muscle index for prediction of mortality was 0.738 and CURB-65 was 0.707. The area under the receiver operating characteristic of paraspinous muscle index and CURB-65 for predicting ICU admission were 0.766 and 0.704, respectively. Conclusion: As a method of measuring sarcopenia, paraspinous muscle index was superior to CURB-65 in elderly pneumonia patients. The use of computed tomography in predicting prognosis for elderly pneumonia patients will ease the economic burden.
Collapse
Affiliation(s)
- Sung Jin Bae
- Chung-Ang University Hospital, Department of Emergency Medicine, College of Medicine, Seoul, Chung-Ang University, Seoul, Republic of Korea
| | - Keon Kim
- Ewha Womans University Seoul Hospital, Department of Emergency Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea
| | - Seong Jong Yun
- Department of Radiology, G SAM Hospital, Gunpo, Republic of Korea
| | - Sun Hwa Lee
- Ewha Womans University Mokdong Hospital, Department of Emergency Medicine, College of Medicine, Ewha Womans University, Seoul, Republic of Korea
| |
Collapse
|
8
|
Chen J, Liu B, Du H, Lin H, Chen C, Rao S, Yu R, Wang J, Xue Z, Zhang Y, Xie Y. Performance of CURB-65, PSI, and APACHE-II for predicting COVID-19 pneumonia severity and mortality. EUR J INFLAMM 2021. [DOI: 10.1177/20587392211027083] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
No prognostic tools for the prediction of COVID-19 pneumonia severity and mortality are available. We explored whether CURB-65, PSI, and APACHE-II could predict COVID-19 pneumonia severity and mortality. We included 167 patients with confirmed COVID-19 pneumonia in this retrospective study. The severity and 30-day mortality of COVID-19 pneumonia were predicted using PSI, CURB-65, and APACHE-II scales. Kappa test was performed to compare the consistency of the three scales. There was a significant difference in the distribution of the scores of the three scales ( P < 0.001). Patients with PSI class ⩽III, CURB-65 ⩽1, and APACHE-II-I all survived. The ROC analysis showed the areas under the curve of the PSI, CURB-65, and APACHE-II scales were 0.83 (95% CI, 0.74–0.93), 0.80 (95% CI, 0.69–0.90), and 0.83 (95% CI, 0.75–0.92), respectively. Our findings suggest that PSI and CURB-65 might be useful to predict the severity and mortality of COVID-19 pneumonia.
Collapse
Affiliation(s)
- Junnian Chen
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Bang Liu
- Department of Epidemiology and Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China
| | - Houwei Du
- Department of Neurology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Hailong Lin
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Cunrong Chen
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Shanshan Rao
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Ranjie Yu
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Jingjing Wang
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Zhiqiang Xue
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Yixian Zhang
- Department of Rehabilitation, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Yanghuang Xie
- Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| |
Collapse
|
9
|
Jiao J, Li Z, Wu X, Cao J, Liu G, Liu Y, Li F, Zhu C, Song B, Jin J, Liu Y, Wen X, Cheng S, Wan X. Risk factors for 3-month mortality in bedridden patients with hospital-acquired pneumonia: A multicentre prospective study. PLoS One 2021; 16:e0249198. [PMID: 33784317 PMCID: PMC8009424 DOI: 10.1371/journal.pone.0249198] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Accepted: 03/12/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Mortality among patients with hospital-acquired pneumonia (HAP) is quite high; however, information on risk factors for short-term mortality in this population remains limited. The aim of the current study was to identify the risk factors for mortality in bedridden patients with HAP during a 3-month observation period. METHODS A secondary data analysis was conducted. In total, 1141 HAP cases from 25 hospitals were included in the analysis. Univariate and multilevel regression analyses were performed to identify the risk factors for mortality. RESULTS During the 3-month observation period, there were 189 deaths among bedridden patients with HAP. The mortality rate in this study was 16.56%. Multilevel regression analysis showed that ventilator-associated pneumonia (OR = 2.034, 95%CI: 1.256, 3.296, p = 0.004), pressure injuries (OR = 2.202, 95%CI: 1.258, 3.852, p = 0.006), number of comorbidities (OR = 1.076, 95%CI: 1.016,1.140, p = 0.013) and adjusted Charlson Comorbidity Index score (OR = 1.210, 95%CI: 1.090, 1.343, p<0.001) were associated with an increased risk of mortality, while undergoing surgery with general anaesthesia (OR = 0.582, 95%CI: 0.368, 0.920, p = 0.021) was associated with a decreased risk of mortality. CONCLUSIONS The identification of risk factors associated with mortality is an important step towards individualizing care plans. Our findings may help healthcare workers select high-risk patients for specific interventions. Further study is needed to explore whether appropriate interventions against modifiable risk factors, such as reduced immobility complications or ventilator-associated pneumonia, could improve the prognoses.
Collapse
Affiliation(s)
- Jing Jiao
- Department of Nursing, Peking Union Medical College Hospital, Beijing, China
| | - Zhen Li
- Department of Nursing, Peking Union Medical College Hospital, Beijing, China
| | - Xinjuan Wu
- Department of Nursing, Peking Union Medical College Hospital, Beijing, China
| | - Jing Cao
- Department of Nursing, Peking Union Medical College Hospital, Beijing, China
| | - Ge Liu
- Department of Surgery, Peking Union Medical College Hospital, Beijing, China
| | - Ying Liu
- Department of Nursing, Peking Union Medical College Hospital, Beijing, China
| | - Fangfang Li
- Department of Medicine, Peking Union Medical College Hospital, Beijing, China
| | - Chen Zhu
- Department of Nursing, Peking Union Medical College Hospital, Beijing, China
| | - Baoyun Song
- Department of Nursing, Henan Provincial People’s Hospital, Zhengzhou, Henan Province, China
| | - Jingfen Jin
- Department of Nursing, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Yilan Liu
- Department of Nursing, Wuhan Union Hospital, Wuhan, Hubei Province, China
| | - Xianxiu Wen
- Department of Nursing, Sichuan Provincial People’s Hospital, Chengdu, Sichuan Province, China
| | - Shouzhen Cheng
- Department of Nursing, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China
| | - Xia Wan
- Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, China
| |
Collapse
|
10
|
Zhang SS, Dong L, Wang GM, Tian Y, Ye XF, Zhao Y, Liu ZY, Zhai JY, Zhao ZL, Wang JH, Zhang HM, Li XL, Wu CX, Yang CT, Yang LJ, Du HX, Wang H, Ge QG, Xiu DR, Shen N. Progressive liver injury and increased mortality risk in COVID-19 patients: A retrospective cohort study in China. World J Gastroenterol 2021; 27:835-853. [PMID: 33727773 PMCID: PMC7941865 DOI: 10.3748/wjg.v27.i9.835] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Revised: 01/09/2021] [Accepted: 02/04/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Liver injury is common and also can be fatal, particularly in severe or critical patients with coronavirus disease 2019 (COVID-19).
AIM To conduct an in-depth investigation into the risk factors for liver injury and into the effective measures to prevent subsequent mortality risk.
METHODS A retrospective cohort study was performed on 440 consecutive patients with relatively severe COVID-19 between January 28 and March 9, 2020 at Tongji Hospital, Wuhan, China. Data on clinical features, laboratory parameters, medications, and prognosis were collected.
RESULTS COVID-19-associated liver injury more frequently occurred in patients aged ≥ 65 years, female patients, or those with other comorbidities, decreased lymphocyte count, or elevated D-dimer or serum ferritin (P < 0.05). The disease severity of COVID-19 was an independent risk factor for liver injury (severe patients: Odds ratio [OR] = 2.86, 95% confidence interval [CI]: 1.78-4.59; critical patients: OR = 13.44, 95%CI: 7.21-25.97). The elevated levels of on-admission aspartate aminotransferase and total bilirubin indicated an increased mortality risk (P < 0.001). Using intravenous nutrition or antibiotics increased the risk of COVID-19-associated liver injury. Hepatoprotective drugs tended to be of assistance to treat the liver injury and improve the prognosis of patients with COVID-19-associated liver injury.
CONCLUSION More intensive monitoring of aspartate aminotransferase or total bilirubin is recommended for COVID-19 patients, especially patients aged ≥ 65 years, female patients, or those with other comorbidities. Drug hepatotoxicity of antibiotics and intravenous nutrition should be alert for COVID-19 patients.
Collapse
Affiliation(s)
- Shui-Sheng Zhang
- Department of General Surgery, Peking University Third Hospital, Beijing 100191, China
| | - Li Dong
- Institutes of Biomedical Sciences, Shanxi University, Taiyuan 030006, Shanxi Province, China
| | - Gao-Ming Wang
- Department of General Surgery, Peking University Third Hospital, Beijing 100191, China
| | - Yuan Tian
- Department of Radiotherapy Oncology, Shandong Provincial Qianfoshan Hospital, The First Hospital Affiliated with Shandong First Medical University, Jinan 250014, Shandong Province, China
| | - Xiao-Fang Ye
- Department of Respiratory and Critical Medicine, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - Yue Zhao
- Department of General Surgery, Peking University Third Hospital, Beijing 100191, China
| | - Zheng-Yin Liu
- Department of Infectious Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100005, China
| | - Jia-Yu Zhai
- Department of Rheumatology, Peking University Third Hospital, Beijing 100191, China
| | - Zhi-Ling Zhao
- Department of Critical Care Medicine, Peking University Third Hospital, Beijing 100191, China
| | - Jun-Hong Wang
- Department of Emergency Medicine, Peking University Third Hospital, Beijing 100191, China
| | - Hui-Min Zhang
- Department of Cardiac Surgery, Peking University Third Hospital, Beijing 100191, China
| | - Xiao-Long Li
- Department of Urology, Peking University Third Hospital, Beijing 100191, China
| | - Chang-Xin Wu
- Institutes of Biomedical Sciences, Shanxi University, Taiyuan 030006, Shanxi Province, China
| | - Cai-Ting Yang
- Institutes of Biomedical Sciences, Shanxi University, Taiyuan 030006, Shanxi Province, China
| | - Li-Juan Yang
- Department of Gynecology, Peking University Third Hospital, Beijing 100191, China
| | - Hai-Xia Du
- Department of Rehabilitation, Peking University Third Hospital, Beijing 100191, China
| | - Hui Wang
- Department of Gastroenterology, Peking University Third Hospital, Beijing 100191, China
| | - Qing-Gang Ge
- Department of Critical Care Medicine, Peking University Third Hospital, Beijing 100191, China
| | - Dian-Rong Xiu
- Department of General Surgery, Peking University Third Hospital, Beijing 100191, China
| | - Ning Shen
- Department of Respiratory and Critical Medicine, Peking University Third Hospital, Beijing 100191, China
| |
Collapse
|
11
|
Cheng P, Wu H, Yang J, Song X, Xu M, Li B, Zhang J, Qin M, Zhou C, Zhou X. Pneumonia scoring systems for severe COVID-19: which one is better. Virol J 2021; 18:33. [PMID: 33568204 PMCID: PMC7874994 DOI: 10.1186/s12985-021-01502-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 01/26/2021] [Indexed: 02/08/2023] Open
Abstract
PURPOSE To investigate the predictive significance of different pneumonia scoring systems in clinical severity and mortality risk of patients with severe novel coronavirus pneumonia. MATERIALS AND METHODS A total of 53 cases of severe novel coronavirus pneumonia were confirmed. The APACHE II, MuLBSTA and CURB-65 scores of different treatment methods were calculated, and the predictive power of each score on clinical respiratory support treatment and mortality risk was compared. RESULTS The APACHE II score showed the largest area under ROC curve in both noninvasive and invasive respiratory support treatment assessments, which is significantly different from that of CURB-65. Further, the MuLBSTA score had the largest area under ROC curve in terms of death risk assessment, which is also significantly different from that of CURB-65; however, no difference was noted with the APACHE II score. CONCLUSION For patients with COVID, the APACHE II score is an effective predictor of the disease severity and mortality risk. Further, the MuLBSTA score is a good predictor only in terms of mortality risk.
Collapse
Affiliation(s)
- PengFei Cheng
- Department of Anesthesiology, General Hospital of Central Theater Command of PLA, Wuhan, China
| | - Hao Wu
- Department of Anesthesiology, General Hospital of Central Theater Command of PLA, Wuhan, China
| | - JunZhe Yang
- Department of Anesthesiology, General Hospital of Central Theater Command of PLA, Wuhan, China
| | - XiaoYang Song
- Department of Anesthesiology, General Hospital of Central Theater Command of PLA, Wuhan, China
| | - MengDa Xu
- Department of Anesthesiology, General Hospital of Central Theater Command of PLA, Wuhan, China
| | - BiXi Li
- Department of Anesthesiology, General Hospital of Central Theater Command of PLA, Wuhan, China
| | - JunJun Zhang
- Department of Gastroenterology, General Hospital of Central Theater Command of PLA, Wuhan, China
| | - MingZhe Qin
- Department of Anesthesiology, General Hospital of Central Theater Command of PLA, Wuhan, China
| | - Cheng Zhou
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiang Zhou
- Department of Anesthesiology, General Hospital of Central Theater Command of PLA, Wuhan, China.
| |
Collapse
|
12
|
Zamani N, Gheshlaghi F, Haghighi‐Morad M, Bahrami‐Motlagh H, Alavi Darazam I, Hadeiy SK, McDonald R, Hassanian‐Moghaddam H. Prevalence of clinical and radiologic features in methanol-poisoned patients with and without COVID-19 infection. Acute Med Surg 2021; 8:e715. [PMID: 34925862 PMCID: PMC8647202 DOI: 10.1002/ams2.715] [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: 08/30/2021] [Revised: 11/05/2021] [Accepted: 11/16/2021] [Indexed: 02/05/2023] Open
Abstract
AIM The aim of the current study was to evaluate the prevalence of coronavirus disease (COVID-19) in methanol-poisoned patients admitted to two toxicology academic centers during the COVID-19 outbreak and determine their clinical features and chest/brain computed tomography (CT) findings. METHODS Methanol-poisoned patients who had been referred during the COVID-19 pandemic were evaluated for signs and symptoms of COVID-19 by chest CT scans and/or polymerase chain reaction test. RESULTS A total of 62 patients with confirmed methanol poisoning were enrolled in the study, with a median (interquartile range) age of 35 (28-44) years. Thirty-nine (62.9%) survived. Nine (14.5%) were diagnosed to have COVID-19, of whom four survived. There was a significant correlation between COVID-19 disease and a history of alcohol consumption (p = 0.036; odds ratio 1.7; 95% confidence interval, 1.3-2.2). Univariate analysis showed significant differences between infected and noninfected patients regarding their urea and time for first and second hemodialysis sessions, as well as the duration of ethanol administration. CONCLUSIONS In conclusion, during the pandemic, specific attention should be paid to patients with a history of alcohol ingestion and elevated creatinine, loss of consciousness, and severe acidosis as these signs/symptoms could be present in both COVID-19 and methanol poisoning, making differentiation between the two challenging.
Collapse
Affiliation(s)
- Nasim Zamani
- Social Determinants of Health Research CenterShahid Beheshti University of Medical SciencesTehranIran
- Department of Clinical ToxicologyLoghman‐Hakim HospitalSchool of MedicineShahid Beheshti University of Medical SciencesTehranIran
| | - Farzad Gheshlaghi
- Department of Clinical ToxicologyIsfahan Clinical Toxicology Research CenterSchool of MedicineIsfahan University of Medical SciencesIsfahanIran
| | - Maryam Haghighi‐Morad
- Department of RadiologyLoghman‐Hakim HospitalSchool of MedicineShahid Beheshti University of Medical SciencesTehranIran
| | - Hooman Bahrami‐Motlagh
- Department of RadiologyLoghman‐Hakim HospitalSchool of MedicineShahid Beheshti University of Medical SciencesTehranIran
| | - Ilad Alavi Darazam
- Department of Infectious DiseasesLoghman‐Hakim HospitalSchool of MedicineShahid Beheshti University of Medical SciencesTehranIran
| | - Seyed Kaveh Hadeiy
- Social Determinants of Health Research CenterShahid Beheshti University of Medical SciencesTehranIran
| | - Rebecca McDonald
- Institute of Psychiatry, Psychology and NeuroscienceNational Addiction CentreKing’s College LondonLondonUK
| | - Hossein Hassanian‐Moghaddam
- Social Determinants of Health Research CenterShahid Beheshti University of Medical SciencesTehranIran
- Department of Clinical ToxicologyLoghman‐Hakim HospitalSchool of MedicineShahid Beheshti University of Medical SciencesTehranIran
| |
Collapse
|
13
|
Hirai J, Kinjo T, Koga T, Haranaga S, Motonaga E, Fujita J. Clinical characteristics of community-acquired pneumonia due to Moraxella catarrhalis in adults: a retrospective single-centre study. BMC Infect Dis 2020; 20:821. [PMID: 33172398 PMCID: PMC7653842 DOI: 10.1186/s12879-020-05564-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 10/30/2020] [Indexed: 01/16/2023] Open
Abstract
Background Although Moraxella catarrhalis (M. catarrhalis) is a common cause of community-acquired pneumonia (CAP), studies investigating clinical manifestations of CAP due to M. catarrhalis (MC-CAP) in adults are limited. Since S. pneumoniae is the leading cause of CAP globally, it is important to distinguish between MC-CAP and CAP due to S. pneumoniae (SP-CAP) in clinical practice. However, no past study compared clinical characteristics of MC-CAP and SP-CAP by statistical analysis. We aimed to clarify the clinical characteristics of MC-CAP by comparing those of SP-CAP, as well as the utility of sputum Gram staining. Methods This retrospective study screened CAP patients aged over 20 years visiting or admitted to Okinawa Miyako Hospital between May 2013 and April 2018. Among these, we included patients whom either M. catarrhalis alone or S. pneumoniae alone was isolated from their sputum by bacterial cultures. Results We identified 134 MC-CAP and 130 SP-CAP patients. Although seasonality was not observed in SP-CAP, almost half of MC-CAP patients were admitted in the winter. Compared to those with SP-CAP, MC-CAP patients were older (p < 0.01) and more likely to have underlying pulmonary diseases such as asthma and bronchiectasis (p < 0.01). Approximately half of asthmatic MC-CAP and SP-CAP patients had asthma attacks. Although winter is an influenza season in Japan, co-infection with influenza virus was less common in MC-CAP compared to SP-CAP patients (3% vs. 15%, p < 0.01). Bronchopneumonia patterns on X-ray, as well as bronchial wall thickening, bilateral distribution, and segmental pattern on CT were more common in MC-CAP patients than in SP-CAP patients (p < 0.01). Sputum Gram stain was highly useful method for the diagnosis in both MC-CAP and SP-CAP (78.4% vs. 89.2%), and penicillins were most frequently chosen as an initial treatment for both pneumonias. Conclusions This is the first study to show that MC-CAP occurred in older people compared to SP-CAP, influenza virus co-infection was less common in MC-CAP than SP-CAP, and that MC-CAP frequently caused asthma attacks. Gram stain contributed for the appropriate treatment, resulting in conserving broad-spectrum antibiotics such as cephalosporins and fluoroquinolones in both MC-CAP and SP-CAP patients.
Collapse
Affiliation(s)
- Jun Hirai
- Department of Internal Medicine, Okinawa Miyako Hospital, Okinawa, Japan.,Department of Infectious, Respiratory and Digestive Medicine, Graduate School of Medicine, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa, 903-0215, Japan
| | - Takeshi Kinjo
- Department of Infectious, Respiratory and Digestive Medicine, Graduate School of Medicine, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa, 903-0215, Japan.
| | - Tomomi Koga
- Department of Internal Medicine, Okinawa Miyako Hospital, Okinawa, Japan.,Department of Radiology, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Shusaku Haranaga
- Department of Infectious, Respiratory and Digestive Medicine, Graduate School of Medicine, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa, 903-0215, Japan
| | - Eiji Motonaga
- Department of General Medicine, Okinawa Miyako Hospital, Okinawa, Japan
| | - Jiro Fujita
- Department of Infectious, Respiratory and Digestive Medicine, Graduate School of Medicine, University of the Ryukyus, 207 Uehara, Nishihara, Okinawa, 903-0215, Japan
| |
Collapse
|
14
|
Carriel J, Muñoz-Jaramillo R, Bolaños-Ladinez O, Heredia-Villacreses F, Menéndez-Sanchón J, Martin-Delgado J. [CURB-65 as a predictor of 30-day mortality in patients hospitalized with COVID-19 in Ecuador: COVID-EC StudyAbstract]. Rev Clin Esp 2020; 222:37-41. [PMID: 34996587 PMCID: PMC7580560 DOI: 10.1016/j.rce.2020.10.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 10/14/2020] [Indexed: 11/23/2022]
Abstract
Objetivo Valorar la utilidad del CURB-65 para predecir la mortalidad a 30 días en pacientes adultos hospitalizados con COVID-19. Métodos Cohorte realizada entre el 1 de marzo y el 30 de abril de 2020 en Ecuador. Resultados Se incluyeron 247 pacientes (edad media 60 ± 14 años, 70% varones, mortalidad global 41,3%). Los pacientes con CURB-65 ≥ 2 presentaron mayor mortalidad (57 vs. 17%, p < 0,001), en asociación con otros marcadores de riesgo: edad avanzada, hipertensión arterial, sobrepeso/obesidad, fracaso renal, hipoxemia, requerimiento de ventilación mecánica o desarrollo de distrés respiratorio. Conclusiones En el análisis univariado (Kaplan-Meier) y multivariado (regresión de Cox) el CURB-65 ≥ 2 se relacionó con una mayor mortalidad a 30 días.
Collapse
Affiliation(s)
- J Carriel
- S. de Medicina Interna. Hospital Universitario La Zarzuela, Madrid, España
| | | | - O Bolaños-Ladinez
- S. de Medicina intensiva. S. de Cardiología. Hospital Clínica San Francisco, Guayaquil, Ecuador
| | - F Heredia-Villacreses
- S. de Medicina intensiva. S. de Cardiología. Hospital Clínica San Francisco, Guayaquil, Ecuador
| | | | - J Martin-Delgado
- Grupo de Investigación Atenea, Fundación para el Fomento de la Investigación Sanitaria y Biomédica, San Juan de Alicante, España
| | | |
Collapse
|
15
|
Liao Y, Feng Y, Wang B, Wang H, Huang J, Wu Y, Wu Z, Chen X, Yang C, Fu X, Sun H. Clinical characteristics and prognostic factors of COVID-19 patients progression to severe: a retrospective, observational study. Aging (Albany NY) 2020; 12:18853-18865. [PMID: 33052140 PMCID: PMC7732300 DOI: 10.18632/aging.103931] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Accepted: 07/30/2020] [Indexed: 01/24/2023]
Abstract
The outbreak of coronavirus disease 2019 (COVID-19) has become a world-wide emergency. The severity of COVID-19 is highly correlated with its mortality rate. We aimed to disclose the clinical characteristics and prognostic factors of COVID-19 patients who developed severe COVID-19. The study enrolled cases (no=1848) with mild or moderate type of COVID-19 in Fangcang shelter hospital of Jianghan. A total of 56 patients progressed from mild or moderate to severe. We used least absolute shrinkage and selection operator regression model to select prognostic factors for this model. The case-severity rate was 3.6% in the shelter hospital. They were all symptomatic at admission. Fever, cough, and fatigue were the most common symptoms. Hypertension, diabetes and coronary heart diseases were common co-morbidities. Predictors contained in the prediction nomogram included fever, distribution of peak temperature (>38°C), myalgia or arthralgia and distribution of C-reactive protein (≥10 mg per L). The distribution of peak temperature (>38°C) on set, myalgia or arthralgia and C-reactive protein (≥10 mg per L) were the prognostic factors to identify the progression of COVID-19 patients with mild or moderate type. Early attention to these risk factors will help alleviate the progress of the COVID-19.
Collapse
Affiliation(s)
- Yunfei Liao
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Yong Feng
- Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Bo Wang
- Department of Rehabilitation, Wuhan No.1 Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Hanyu Wang
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Jinsha Huang
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Yaxin Wu
- First Clinical College, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ziling Wu
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Xiao Chen
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Chao Yang
- Department of Vascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Xinqiao Fu
- Outpatient Department, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Hui Sun
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| |
Collapse
|
16
|
Liu J, Liu Y, Xiang P, Pu L, Xiong H, Li C, Zhang M, Tan J, Xu Y, Song R, Song M, Wang L, Zhang W, Han B, Yang L, Wang X, Zhou G, Zhang T, Li B, Wang Y, Chen Z, Wang X. Neutrophil-to-lymphocyte ratio predicts critical illness patients with 2019 coronavirus disease in the early stage. J Transl Med 2020. [PMID: 32434518 DOI: 10.1186/s12967-020-02374-0)] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Patients with critical illness due to infection with the 2019 coronavirus disease (COVID-19) show rapid disease progression to acute respiratory failure. The study aimed to screen the most useful predictive factor for critical illness caused by COVID-19. METHODS The study prospectively involved 61 patients with COVID-19 infection as a derivation cohort, and 54 patients as a validation cohort. The predictive factor for critical illness was selected using LASSO regression analysis. A nomogram based on non-specific laboratory indicators was built to predict the probability of critical illness. RESULTS The neutrophil-to-lymphocyte ratio (NLR) was identified as an independent risk factor for critical illness in patients with COVID-19 infection. The NLR had an area under receiver operating characteristic of 0.849 (95% confidence interval [CI], 0.707 to 0.991) in the derivation cohort and 0.867 (95% CI 0.747 to 0.944) in the validation cohort, the calibration curves fitted well, and the decision and clinical impact curves showed that the NLR had high standardized net benefit. In addition, the incidence of critical illness was 9.1% (1/11) for patients aged ≥ 50 and having an NLR < 3.13, and 50% (7/14) patients with age ≥ 50 and NLR ≥ 3.13 were predicted to develop critical illness. Based on the risk stratification of NLR according to age, this study has developed a COVID-19 pneumonia management process. CONCLUSIONS We found that NLR is a predictive factor for early-stage prediction of patients infected with COVID-19 who are likely to develop critical illness. Patients aged ≥ 50 and having an NLR ≥ 3.13 are predicted to develop critical illness, and they should thus have rapid access to an intensive care unit if necessary.
Collapse
Affiliation(s)
- Jingyuan Liu
- Critical Care Medicine Department, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Yao Liu
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Pan Xiang
- Critical Care Medicine Department, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Lin Pu
- Critical Care Medicine Department, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Haofeng Xiong
- Critical Care Medicine Department, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Chuansheng Li
- Critical Care Medicine Department, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Ming Zhang
- Critical Care Medicine Department, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Jianbo Tan
- Critical Care Medicine Department, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Yanli Xu
- Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Rui Song
- Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Meihua Song
- Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Lin Wang
- Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Wei Zhang
- Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Bing Han
- Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Li Yang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Xiaojing Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Guiqin Zhou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Ting Zhang
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Ben Li
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Yanbin Wang
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China.
| | - Zhihai Chen
- Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China.
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China.
| |
Collapse
|
17
|
Liu J, Liu Y, Xiang P, Pu L, Xiong H, Li C, Zhang M, Tan J, Xu Y, Song R, Song M, Wang L, Zhang W, Han B, Yang L, Wang X, Zhou G, Zhang T, Li B, Wang Y, Chen Z, Wang X. Neutrophil-to-lymphocyte ratio predicts critical illness patients with 2019 coronavirus disease in the early stage. J Transl Med 2020. [PMID: 32434518 DOI: 10.1101/2020.02.10.20021584)] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Patients with critical illness due to infection with the 2019 coronavirus disease (COVID-19) show rapid disease progression to acute respiratory failure. The study aimed to screen the most useful predictive factor for critical illness caused by COVID-19. METHODS The study prospectively involved 61 patients with COVID-19 infection as a derivation cohort, and 54 patients as a validation cohort. The predictive factor for critical illness was selected using LASSO regression analysis. A nomogram based on non-specific laboratory indicators was built to predict the probability of critical illness. RESULTS The neutrophil-to-lymphocyte ratio (NLR) was identified as an independent risk factor for critical illness in patients with COVID-19 infection. The NLR had an area under receiver operating characteristic of 0.849 (95% confidence interval [CI], 0.707 to 0.991) in the derivation cohort and 0.867 (95% CI 0.747 to 0.944) in the validation cohort, the calibration curves fitted well, and the decision and clinical impact curves showed that the NLR had high standardized net benefit. In addition, the incidence of critical illness was 9.1% (1/11) for patients aged ≥ 50 and having an NLR < 3.13, and 50% (7/14) patients with age ≥ 50 and NLR ≥ 3.13 were predicted to develop critical illness. Based on the risk stratification of NLR according to age, this study has developed a COVID-19 pneumonia management process. CONCLUSIONS We found that NLR is a predictive factor for early-stage prediction of patients infected with COVID-19 who are likely to develop critical illness. Patients aged ≥ 50 and having an NLR ≥ 3.13 are predicted to develop critical illness, and they should thus have rapid access to an intensive care unit if necessary.
Collapse
Affiliation(s)
- Jingyuan Liu
- Critical Care Medicine Department, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Yao Liu
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Pan Xiang
- Critical Care Medicine Department, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Lin Pu
- Critical Care Medicine Department, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Haofeng Xiong
- Critical Care Medicine Department, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Chuansheng Li
- Critical Care Medicine Department, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Ming Zhang
- Critical Care Medicine Department, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Jianbo Tan
- Critical Care Medicine Department, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Yanli Xu
- Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Rui Song
- Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Meihua Song
- Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Lin Wang
- Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Wei Zhang
- Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Bing Han
- Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Li Yang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Xiaojing Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Guiqin Zhou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Ting Zhang
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Ben Li
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Yanbin Wang
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China.
| | - Zhihai Chen
- Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China.
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China.
| |
Collapse
|
18
|
Liu J, Liu Y, Xiang P, Pu L, Xiong H, Li C, Zhang M, Tan J, Xu Y, Song R, Song M, Wang L, Zhang W, Han B, Yang L, Wang X, Zhou G, Zhang T, Li B, Wang Y, Chen Z, Wang X. Neutrophil-to-lymphocyte ratio predicts critical illness patients with 2019 coronavirus disease in the early stage. J Transl Med 2020; 18:206. [PMID: 32434518 PMCID: PMC7237880 DOI: 10.1186/s12967-020-02374-0] [Citation(s) in RCA: 510] [Impact Index Per Article: 102.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Accepted: 05/12/2020] [Indexed: 12/27/2022] Open
Abstract
Background Patients with critical illness due to infection with the 2019 coronavirus disease (COVID-19) show rapid disease progression to acute respiratory failure. The study aimed to screen the most useful predictive factor for critical illness caused by COVID-19. Methods The study prospectively involved 61 patients with COVID-19 infection as a derivation cohort, and 54 patients as a validation cohort. The predictive factor for critical illness was selected using LASSO regression analysis. A nomogram based on non-specific laboratory indicators was built to predict the probability of critical illness. Results The neutrophil-to-lymphocyte ratio (NLR) was identified as an independent risk factor for critical illness in patients with COVID-19 infection. The NLR had an area under receiver operating characteristic of 0.849 (95% confidence interval [CI], 0.707 to 0.991) in the derivation cohort and 0.867 (95% CI 0.747 to 0.944) in the validation cohort, the calibration curves fitted well, and the decision and clinical impact curves showed that the NLR had high standardized net benefit. In addition, the incidence of critical illness was 9.1% (1/11) for patients aged ≥ 50 and having an NLR < 3.13, and 50% (7/14) patients with age ≥ 50 and NLR ≥ 3.13 were predicted to develop critical illness. Based on the risk stratification of NLR according to age, this study has developed a COVID-19 pneumonia management process. Conclusions We found that NLR is a predictive factor for early-stage prediction of patients infected with COVID-19 who are likely to develop critical illness. Patients aged ≥ 50 and having an NLR ≥ 3.13 are predicted to develop critical illness, and they should thus have rapid access to an intensive care unit if necessary.
Collapse
Affiliation(s)
- Jingyuan Liu
- Critical Care Medicine Department, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Yao Liu
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Pan Xiang
- Critical Care Medicine Department, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Lin Pu
- Critical Care Medicine Department, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Haofeng Xiong
- Critical Care Medicine Department, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Chuansheng Li
- Critical Care Medicine Department, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Ming Zhang
- Critical Care Medicine Department, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Jianbo Tan
- Critical Care Medicine Department, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Yanli Xu
- Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Rui Song
- Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Meihua Song
- Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Lin Wang
- Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Wei Zhang
- Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Bing Han
- Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Li Yang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Xiaojing Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Guiqin Zhou
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Ting Zhang
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Ben Li
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China
| | - Yanbin Wang
- Liver Diseases Center, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China.
| | - Zhihai Chen
- Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China.
| | - Xianbo Wang
- Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Beijing, 100015, China.
| |
Collapse
|
19
|
Yousef YA, Manal MA. The relationship between level of the red cell distribution width and the outcomes of patients who acquired pneumonia from community. THE EGYPTIAN JOURNAL OF BRONCHOLOGY 2019. [DOI: 10.4103/ejb.ejb_62_19] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
|
20
|
Tetali B, Fahs FM, Mehregan D. Popular over‐the‐counter cosmeceutical ingredients and their clinical efficacy. Int J Dermatol 2019; 59:393-405. [DOI: 10.1111/ijd.14718] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Revised: 10/20/2019] [Accepted: 10/21/2019] [Indexed: 11/30/2022]
Affiliation(s)
- Bhavana Tetali
- Department of Dermatology Wayne State University School of Medicine Detroit MI US
| | - Fatima M. Fahs
- Department of Dermatology Wayne State University School of Medicine Detroit MI US
| | - Darius Mehregan
- Department of Dermatology Wayne State University School of Medicine Detroit MI US
- Pinkus Dermatopathology Laboratory Aurora Diagnostics Monroe MI US
| |
Collapse
|
21
|
González del Castillo J, Clemente C, Núñez Orantos MJ. Estratificación pronóstica de los pacientes con neumonía. Med Clin (Barc) 2019; 152:e21. [DOI: 10.1016/j.medcli.2018.04.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Accepted: 04/19/2018] [Indexed: 11/16/2022]
|