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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Risk factors for severe disease in patients admitted with COVID-19 to a hospital in London, England: a retrospective cohort study
Jack W Goodall,Thomas A N Reed,Maddalena Ardissino,Paul Bassett,Ashley M. Whittington,David Cohen,Nidhi Vaid +6 more
TL;DR: This observational cohort study aimed to characterize the independent associations between the clinical outcomes of hospitalized patients and their demographics, comorbidities, blood tests and bedside observations, and to provide direction for further research.
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Cardiovascular drugs and analysis of potential risk factors associated with mortality in severe coronavirus disease 2019 patients.
TL;DR: The findings indicate that the presence of chronic renal failure, a high peak ferritin concentration, and the need for invasive mechanical ventilation appear predictive for mortality in severe COVID-19 patients.
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Laboratory Biomarkers of COVID-19 Disease Severity and Outcome: Findings from a Developing Country
Tigist W. Leulseged,Ishmael S. Hassen,Birhanu T. Ayele,Yakob G. Tsegay,Daniel S. Abebe,Mesay G. Edo,Endalkachew H. Maru,Wuletaw C. Zewde,Lydia K. Naylor,Dejene F. Semane,Menayit T. Deresse,Bereket B. Tezera +11 more
TL;DR: In this paper, a retrospective cohort study was conducted among 429 RT-PCR confirmed COVID-19 patients who were on follow up from July to October 2020 and with complete clinical and laboratory data.
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Exploring the role of country social and medical characteristics in patient level mortality in COVID-19 pandemic using Unsupervised Learning
TL;DR: It is concluded that country social economic and medical characteristics play important role to COVID-19 patients’ prognosis and their outcome.
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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