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
Citations
More filters
Journal ArticleDOI
Epidemiological features of COVID-19 in Iran
TL;DR: In this paper , the authors investigated the epidemiological aspects of COVID-19 disease in Isfahan province and evaluated the chances of infection and death in the population, showing that people with cancer and chronic respiratory disease had a higher chance of infection.
Journal ArticleDOI
Association between Pre-Existing Comorbidities and COVID-19 Related Mortality: A Meta-Analysis Study
TL;DR: In this paper , the authors examined the proportion of comorbidities in survivors and non-survivors in COVID-19-related mortality and investigated the association between the co-morbidities and COVID19 related mortality.
Journal ArticleDOI
High mortality at the beginning of the COVID-19 pandemic in a referral center in the metropolitan area of Mexico City.
A. Ordinola Navarro,Orestes Cobos-Quevedo,Javier Cervantes-Bojalil,Esperanza Pérez Álvarez,A. González Gil,Ana Lilia Peralta-Amaro,Ana Laura Carrillo-González,Arturo Olvera Acevedo,Luis Francisco Pineda-Galindo,Fernando Briceño-Moya,Olga Vera-Lastra,Bruno Ali Lopez Luis +11 more
TL;DR: In this article , the authors conducted a retrospective cohort study with 333 consecutive patients who were admitted to Hospital de Especialidades "Dr. Antonio Fraga Mouret" in Mexico City with COVID-19 between April 1, 2020, and June 30, 2020.
Journal ArticleDOI
Predictors of death among severe COVID-19 patients admitted in Hawassa City, Sidama, Southern Ethiopia: Unmatched case-control study
TL;DR: In this article , an institution-based unmatched case-control study was conducted at Hawassa city COVID-19 treatment centers from May 2021 to June 2021 to assess the predictors of death among severely ill patients admitted in Hawassia city, Ethiopia.
Journal ArticleDOI
Proteomic analysis of cardiometabolic biomarkers and predictive modeling of severe outcomes in patients hospitalized with COVID-19
Philip H. Schroeder,L Brenner,Varinderpal Kaur,Sara Cromer,Katrina L Armstrong,Regina C. LaRocque,Edward Ryan,James B. Meigs,J.B. Florez,Richelle C. Charles,Josep M. Mercader,Aaron Leong +11 more
TL;DR: In this paper , the authors performed proteomic analysis and developed predictive models for severe outcomes and used them to predict the outcomes of out-of-sample patients hospitalized with COVID-19 later in the surge (N = 194).
References
More filters
Journal ArticleDOI
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Chaolin Huang,Yeming Wang,Xingwang Li,Lili Ren,Jianping Zhao,Yi Hu,Li Zhang,Guohui Fan,Jiuyang Xu,Xiaoying Gu,Zhenshun Cheng,Ting Yu,Jia'an Xia,Yuan Wei,Wenjuan Wu,Xuelei Xie,Wen Yin,Li Hui,Min Liu,Yan Xiao,Hong Gao,Li Guo,Jungang Xie,Guang-Fa Wang,Rongmeng Jiang,Zhancheng Gao,Qi Jin,Jianwei Wang,Bin Cao +28 more
TL;DR: The epidemiological, clinical, laboratory, and radiological characteristics and treatment and clinical outcomes of patients with laboratory-confirmed 2019-nCoV infection in Wuhan, China, were reported.
Journal ArticleDOI
Clinical Characteristics of Coronavirus Disease 2019 in China.
Wei-jie Guan,Zhengyi Ni,Yu Hu,Wenhua Liang,Chun-Quan Ou,Jianxing He,Lei Liu,Hong Shan,Chunliang Lei,David S.C. Hui,Bin Du,Lanjuan Li,Guang Zeng,Kowk-Yung Yuen,Ruchong Chen,Chun-Li Tang,Tao Wang,Ping-Yan Chen,Jie Xiang,Shiyue Li,Jinlin Wang,Zi-jing Liang,Yi-xiang Peng,Li Wei,Yong Liu,Ya-hua Hu,Peng Peng,Jian-ming Wang,Ji-yang Liu,Zhong Chen,Gang Li,Zhi-jian Zheng,Shao-qin Qiu,Jie Luo,Chang-jiang Ye,Shao-yong Zhu,Nanshan Zhong +36 more
TL;DR: During the first 2 months of the current outbreak, Covid-19 spread rapidly throughout China and caused varying degrees of illness, and patients often presented without fever, and many did not have abnormal radiologic findings.
Journal ArticleDOI
A Novel Coronavirus from Patients with Pneumonia in China, 2019.
Na Zhu,Dingyu Zhang,Wenling Wang,Xingwang Li,Bo Yang,Jingdong Song,Xiang Zhao,Baoying Huang,Weifeng Shi,Roujian Lu,Peihua Niu,Faxian Zhan,Xuejun Ma,Dayan Wang,Wenbo Xu,Wenbo Xu,Guizhen Wu,George F. Gao,Wenjie Tan +18 more
TL;DR: Human airway epithelial cells were used to isolate a novel coronavirus, named 2019-nCoV, which formed a clade within the subgenus sarbecovirus, Orthocoronavirinae subfamily, which is the seventh member of the family of coronaviruses that infect humans.
Journal ArticleDOI
Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China.
Dawei Wang,Bo Hu,Chang Hu,Fangfang Zhu,Xing Liu,Jing Zhang,Binbin Wang,Hui Xiang,Zhenshun Cheng,Yong Xiong,Yan Zhao,Yirong Li,Xinghuan Wang,Zhiyong Peng +13 more
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.
Journal ArticleDOI
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.
Related Papers (5)
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Chaolin Huang,Yeming Wang,Xingwang Li,Lili Ren,Jianping Zhao,Yi Hu,Li Zhang,Guohui Fan,Jiuyang Xu,Xiaoying Gu,Zhenshun Cheng,Ting Yu,Jia'an Xia,Yuan Wei,Wenjuan Wu,Xuelei Xie,Wen Yin,Li Hui,Min Liu,Yan Xiao,Hong Gao,Li Guo,Jungang Xie,Guang-Fa Wang,Rongmeng Jiang,Zhancheng Gao,Qi Jin,Jianwei Wang,Bin Cao +28 more
Clinical Characteristics of Coronavirus Disease 2019 in China.
Wei-jie Guan,Zhengyi Ni,Yu Hu,Wenhua Liang,Chun-Quan Ou,Jianxing He,Lei Liu,Hong Shan,Chunliang Lei,David S.C. Hui,Bin Du,Lanjuan Li,Guang Zeng,Kowk-Yung Yuen,Ruchong Chen,Chun-Li Tang,Tao Wang,Ping-Yan Chen,Jie Xiang,Shiyue Li,Jinlin Wang,Zi-jing Liang,Yi-xiang Peng,Li Wei,Yong Liu,Ya-hua Hu,Peng Peng,Jian-ming Wang,Ji-yang Liu,Zhong Chen,Gang Li,Zhi-jian Zheng,Shao-qin Qiu,Jie Luo,Chang-jiang Ye,Shao-yong Zhu,Nanshan Zhong +36 more