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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Impact of metabolic and cardiovascular disease on COVID-19 mortality: A systematic review and meta-analysis
TL;DR: In this paper, a meta-analysis aimed to highlight the impact of cardio-metabolic comorbidities on COVID-19 severity and mortality was carried out, where the authors used random-effects model to compute pooled estimates for critical or fatal disease.
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Genetic and epigenetic control of ACE2 expression and its possible role in COVID-19.
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Fatality and risk features for prognosis in COVID-19 according to the care approach - a retrospective cohort study.
Mariano Andrés,Jose-Manuel Leon-Ramirez,Óscar Moreno-Pérez,José Sánchez-Payá,Ignacio Gayá,Violeta Esteban,Isabel Ribes,Diego Torrús-Tendero,Pilar González-de-la-Aleja,Pere Llorens,Vicente Boix,Joan Gil,Esperanza Merino +12 more
TL;DR: In this paper, the impact of a categorized approach, based on patients' prognosis, on major outcomes and explanators in patients hospitalized for COVID-19 pneumonia in an academic center in Spain was analyzed.
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Elevated D-Dimer Levels are Associated with Increased Risk of Mortality in COVID-19: A Systematic Review and Meta-Analysis
Siddharth Shah,Kuldeep Shah,Siddharth B Patel,Forman S Patel,Mohammed Osman,Poonam Velagapudi,Mohit K. Turagam,Dhanunjaya Lakkireddy,Jalaj Garg +8 more
TL;DR: It is demonstrated that patients with COVID-19 presenting with elevated D-dimer levels have an increased risk of severe disease and mortality.
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Association of Early Inflammation with Age and Asymptomatic Disease in COVID-19
Chunmei Xie,Qing Li,Linhai Li,Xiaohua Peng,Xiaohua Peng,Zhijian Ling,Bin Xiao,Jingjing Feng,Jingjing Feng,Zhenhong Chen,De Chang,Lixin Xie,Charles S. Dela Cruz,Lokesh Sharma +13 more
TL;DR: The early changes in host immune responses that are altered with age and the difference in the early host inflammatory response that dictates a symptomatic versus asymptomatic course of COVID-19 patients were investigated in this paper.
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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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