Predictors of mortality for patients with COVID-19 pneumonia caused by SARS-CoV-2: a prospective cohort study.
Rong Hui Du,Li Rong Liang,Cheng Qing Yang,Wen Wang,Tan Ze Cao,Ming Li,Guang Yun Guo,Juan Du,Chun Lan Zheng,Qi Zhu,Ming Hu,Xu Yan Li,Peng Peng,Huan-Zhong Shi +13 more
TLDR
Age ≥65 years, pre-existing concurrent cardiovascular or cerebrovascular diseases, CD3+CD8+ T-cells ≤75 cells·μL−1 and cardiac troponin I ≥0.05 ng·mL−1 were four risk factors predicting high mortality of COVID-19 pneumonia patients.Abstract:
The aim of this study was to identify factors associated with the death of patients with COVID-19 pneumonia caused by the novel coronavirus SARS-CoV-2. All clinical and laboratory parameters were collected prospectively from a cohort of patients with COVID-19 pneumonia who were hospitalised to Wuhan Pulmonary Hospital (Wuhan City, Hubei Province, China) between 25 December 2019 and 7 February 2020. Univariate and multivariate logistic regression was performed to investigate the relationship between each variable and the risk of death of COVID-19 pneumonia patients. In total, 179 patients with COVID-19 pneumonia (97 male and 82 female) were included in the present prospective study, of whom 21 died. Univariate and multivariate logistic regression analysis revealed that age ≥65 years (OR 3.765, 95% CI 1.146‒17.394; p=0.023), pre-existing concurrent cardiovascular or cerebrovascular diseases (OR 2.464, 95% CI 0.755‒8.044; p=0.007), CD3+CD8+ T-cells ≤75 cells·μL−1 (OR 3.982, 95% CI 1.132‒14.006; p We identified four risk factors: age ≥65 years, pre-existing concurrent cardiovascular or cerebrovascular diseases, CD3+CD8+ T-cells ≤75 cells·μL−1 and cardiac troponin I ≥0.05 ng·mL−1. The latter two factors, especially, were predictors for mortality of COVID-19 pneumonia patients.read more
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SARS-CoV-2 infection and seroprevalence in patients with multiple sclerosis.
TL;DR: In this paper, the effect of SARS-CoV-2 infection in patients with multiple sclerosis and the influence of disease-modifying therapies (DMT) for MS on COVID-19 are unknown.
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COVID-19 and the kidney: A retrospective analysis of 37 critically ill patients using machine learning.
Anna Laura Herzog,Holger K. von Jouanne-Diedrich,Christoph Wanner,Dirk Weismann,Tobias Schlesinger,Patrick Meybohm,Jan Stumpner +6 more
TL;DR: Assessment of whether proteinuria can be predictive of kidney failure, the development of chronic kidney disease, and mortality in 37 critically ill COVID-19 patients found it was not predictive for the investigated endpoints.
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SARS-CoV-2 infection: Understanding the immune system abnormalities to get an adequate diagnosis.
Karen Medina-Quero,Omar Barreto-Rodriguez,Voltaire Mendez-Rodriguez,Anahí Sanchez-Moncivais,Ivette Buendía-Roldán,Leslie Chavez-Galan +5 more
TL;DR: In this paper, the authors discuss the relationship between the immune system abnormalities and the broad spectrum of clinical manifestations, including fibrosis, in the context of COVID-19 disease.
Book ChapterDOI
Mortality and Prognosis of Older Patients During COVID-19 Pandemic
TL;DR: The number of people diagnosed with COVID-19 worldwide has crossed the five million mark, causing more than 300,000 deaths and the virus has become widespread, turning into a pandemic in March 2020.
Journal ArticleDOI
COVID-19: ambulante oder stationäre Betreuung? – Risikoscore zur prospektiven Differenzierung leichter und schwerer Verläufe
TL;DR: The COVID-19-Risikoscore as discussed by the authors is ein unterstutzendes instrument fur klinisch tatige Arzte an der Sektorengrenze zwischen ambulantem und stationarem Bereich darstellen.
References
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TL;DR: The epidemiological and clinical characteristics of novel coronavirus (2019-nCoV)-infected pneumonia in Wuhan, China, and hospital-associated transmission as the presumed mechanism of infection for affected health professionals and hospitalized patients are described.
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Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study
Nanshan Chen,Min Zhou,Xuan Dong,Jie-Ming Qu,Fengyun Gong,Yang Han,Yang Qiu,Jingli Wang,Ying Liu,Yuan Wei,Jia'an Xia,Ting Yu,Xinxin Zhang,Li Zhang +13 more
TL;DR: Characteristics of patients who died were in line with the MuLBSTA score, an early warning model for predicting mortality in viral pneumonia, and further investigation is needed to explore the applicability of the Mu LBSTA scores in predicting the risk of mortality in 2019-nCoV infection.
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