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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Results and effects of patients who have recovered from COVID-19: identifying the relationship with risk factors and comorbidities.
Lucivalda Viegas de Almeida,Adriana Sanches Garcia-Araujo,Mildred López,Daniel Santos Rocha,Renata Gonçalves Mendes,Audrey Borghi-Silva,Almir Vieira Dibai-Filho,Daniela Bassi Dibai +7 more
TL;DR: In this paper , the authors reviewed the clinical and functional conditions of patients who recovered from COVID-19 and identified the relationship with risk factors and comorbidities, and found that patients who were more seriously ill during their hospital stay have greater impairment of functional capacity, pulmonary diffusion and fatigue symptoms, and are the main target population for longterm recovery interventions.
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Predicting critical state after COVID-19 diagnosis: Model development using a large US electronic health record dataset
TL;DR: A prognostic model predicting critical state within 28 days following COVID-19 diagnosis trained on data from US electronic health records (EHR) within IBM Explorys can provide accurate personalized predictions enabling early treatment to prevent patients from progressing to a severe or critical state.
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Nomogramm zur Risikostratifizierung von COVID-19-Patienten mit interstitieller Pneumonie in der Notaufnahme
N. Pfeifer,A. Zaboli,L. Ciccariello,O. Bernhart,C. Troi,M Fanni Canelles,C. Ammari,A. Fioretti,G. Turcato +8 more
TL;DR: In this paper, a multivariate Analysemethode ergab, dass kognitive Veranderungen (OR: 8,330; p※= 0,032), erhohtes C-reaktives Protein (OR, 6,504; p´0,005), niedrige Monozytenwerte (OR 0,504, p´1,004) and Komorbiditat (OR 5,862; p''1,019) with der 30-Tage-Mortalitat as
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Broadly-recognized, cross-reactive SARS-CoV-2 CD4 T cell epitopes are highly conserved across human coronaviruses and presented by common HLA alleles
TL;DR: In this paper , a highly conserved SARS-CoV-2 sequence S 811-831 , with two overlapping epitopes presented by common MHC-II proteins HLA DQ5 and HLA-DP4, was identified by CD4+T cells from convalescent COVID-19 donors, mRNA vaccine recipients, and by low-abundance CD4 + T cells in uninfected donors.
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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