Literature DB >> 33280753

Risk Factors for Mortality in Hospitalized Coronavirus Disease 2019 Patients.

Beatriz Dietl1, Pablo Martínez-Camblor2, Pere Almagro3.   

Abstract

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Year:  2020        PMID: 33280753      PMCID: PMC7711168          DOI: 10.1016/j.chest.2020.07.097

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


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To the Editor: We read with interest the article published in CHEST (July 2020) by Chen and coworkers, about mortality risk factors in hospitalized coronavirus disease 2019 (COVID-19) patients. In our opinion, the article deserves some attention. First, the same cohort with similar objectives has simultaneously appeared in another journal (JAMA Internal Medicine). The most relevant difference between the two studies was the variable analyzed, mortality vs a composite variable (death, ICU admission, or mechanical ventilation). Both articles develop a multicomponent score, with a different statistical approach (logistic regression vs multivariate Cox regression). This may explain the different variables selected. In the companion study, 10 predictive variables were included, of which only four were maintained in the current analysis, and two new variables were included. We believe that because the two articles were published simultaneously, the inclusion of different variables to predict evolution in the same cohort merits discussion to avoid reader confusion. Second, and more relevantly, the current model cannot be applied without an external validation in other populations. External validation is essential in all multicomponent prognostic scores, but in this case it is mandatory, because population and evolution differ greatly from what is reported in other areas of the world, and even other Chinese hospitals on the same dates. This suggests that in most cases the hospital admission criteria in this cohort seem to be related more to epidemiological reasons than clinical disease severity. The mortality reported was clearly lower than that observed in European and American cohorts in which it reaches percentages of 10% to 25%. Of note, the mortality reported in the same cohort in Hubei was 7.3%, and outside Hubei it is 0.3%, whereas in three other cohorts of 828 patients hospitalized in Wuhan, mortality on February 7, 2020 was 18.6%, 19.2%, and 16%, respectively. , For comparative purposes, in our hospital (a 500-bed tertiary hospital in Spain), 723 patients were hospitalized for COVID-19 between February 5 and May 30, 2020. Of these, 29% developed a critical illness, and 17.4% died during admission. Obviously, with these data, it seems that hospitalization criteria in this cohort may have contributed to containing the spread of the virus, but this strategy was not feasible in other areas where the health system was close to collapsing. More importantly, in our opinion, these differences preclude direct application of the proposed model without a previous external validation in different populations.
  5 in total

1.  Development and Validation of a Clinical Risk Score to Predict the Occurrence of Critical Illness in Hospitalized Patients With COVID-19.

Authors:  Wenhua Liang; Hengrui Liang; Limin Ou; Binfeng Chen; Ailan Chen; Caichen Li; Yimin Li; Weijie Guan; Ling Sang; Jiatao Lu; Yuanda Xu; Guoqiang Chen; Haiyan Guo; Jun Guo; Zisheng Chen; Yi Zhao; Shiyue Li; Nuofu Zhang; Nanshan Zhong; Jianxing He
Journal:  JAMA Intern Med       Date:  2020-08-01       Impact factor: 21.873

2.  Development and validation of a risk factor-based system to predict short-term survival in adult hospitalized patients with COVID-19: a multicenter, retrospective, cohort study.

Authors:  Shuai Zhang; Mengfei Guo; Limin Duan; Feng Wu; Guorong Hu; Zhihui Wang; Qi Huang; Tingting Liao; Juanjuan Xu; Yanling Ma; Zhilei Lv; Wenjing Xiao; Zilin Zhao; Xueyun Tan; Daquan Meng; Shujing Zhang; E Zhou; Zhengrong Yin; Wei Geng; Xuan Wang; Jianchu Zhang; Jianguo Chen; Yu Zhang; Yang Jin
Journal:  Crit Care       Date:  2020-07-16       Impact factor: 9.097

3.  Risk Factors of Fatal Outcome in Hospitalized Subjects With Coronavirus Disease 2019 From a Nationwide Analysis in China.

Authors:  Ruchong Chen; Wenhua Liang; Mei Jiang; Weijie Guan; Chen Zhan; Tao Wang; Chunli Tang; Ling Sang; Jiaxing Liu; Zhengyi Ni; Yu Hu; Lei Liu; Hong Shan; Chunliang Lei; Yixiang Peng; Li Wei; Yong Liu; Yahua Hu; Peng Peng; Jianming Wang; Jiyang Liu; Zhong Chen; Gang Li; Zhijian Zheng; Shaoqin Qiu; Jie Luo; Changjiang Ye; Shaoyong Zhu; Xiaoqing Liu; Linling Cheng; Feng Ye; Jinping Zheng; Nuofu Zhang; Yimin Li; Jianxing He; Shiyue Li; Nanshan Zhong
Journal:  Chest       Date:  2020-04-15       Impact factor: 9.410

4.  Clinical characteristics and outcomes of hospitalised patients with COVID-19 treated in Hubei (epicentre) and outside Hubei (non-epicentre): a nationwide analysis of China.

Authors:  Wen-Hua Liang; Wei-Jie Guan; Cai-Chen Li; Yi-Min Li; Heng-Rui Liang; Yi Zhao; Xiao-Qing Liu; Ling Sang; Ru-Chong Chen; Chun-Li Tang; Tao Wang; Wei Wang; Qi-Hua He; Zi-Sheng Chen; Sook-San Wong; Mark Zanin; Jun Liu; Xin Xu; Jun Huang; Jian-Fu Li; Li-Min Ou; Bo Cheng; Shan Xiong; Zhan-Hong Xie; Zheng-Yi Ni; Yu Hu; Lei Liu; Hong Shan; Chun-Liang Lei; 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; Lin-Ling Cheng; Feng Ye; Shi-Yue Li; Jin-Ping Zheng; Nuo-Fu Zhang; Nan-Shan Zhong; Jian-Xing He
Journal:  Eur Respir J       Date:  2020-06-04       Impact factor: 16.671

5.  Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention.

Authors:  Zunyou Wu; Jennifer M McGoogan
Journal:  JAMA       Date:  2020-04-07       Impact factor: 56.272

  5 in total

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