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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The COVID-19 pandemic and healthcare workers psychological well-being: a cross-sectional survey in Indonesia.
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Effect of Obesity among Hospitalized Cancer Patients with or without COVID-19 on a National Level
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TL;DR: In this paper , the effect of obesity on the risk of ICU admission, severe complications, and in-hospital mortality in cancer patients hospitalized for COVID-19 or not was studied.
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The Usefulness of the COVID-GRAM Score in Predicting the Outcomes of Study Population with COVID-19
Agata Sebastian,Marcin Madziarski,Marta Madej,Krzysztof Proc,Małgorzata Szymala-Pędzik,Joanna Żórawska,Michał Gronek,Ewa Morgiel,Krzysztof Kujawa,Marek Skarupski,Małgorzata Trocha,Piotr Rola,Jakub Gawrys,Krzysztof Letachowicz,Adrian Doroszko,Barbara Adamik,Krzysztof Kaliszewski,Katarzyna Kiliś-Pstrusińska,Agnieszka Matera-Witkiewicz,Michał Pomorski,Marcin Protasiewicz,Janusz Sokołowski,Ewa A. Jankowska,Katarzyna Madziarska +23 more
TL;DR: The COVID-GRAM score corresponds well with total mortality and the factor with the strongest impact on survival was the absence of other diseases.
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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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