Literature DB >> 32907886

Predictors of mortality for patients with COVID-19 pneumonia caused by SARS-CoV-2.

Rong-Hui Du1,2, Li-Rong Liang3,2, Cheng-Qing Yang1,2, Wen Wang3,2, Tan-Ze Cao1, Ming Li1, Guang-Yun Guo1, Juan Du1, Chun-Lan Zheng1, Qi Zhu1, Ming Hu1, Xu-Yan Li3, Peng Peng1,4, Huan-Zhong Shi5,4.   

Abstract

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Year:  2020        PMID: 32907886      PMCID: PMC7487268          DOI: 10.1183/13993003.02961-2020

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


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From the authors: We appreciate the thoughtful comments of H-J. Yang and co-workers in their correspondence addressing the predictors of mortality for patients with coronavirus disease 2019 (COVID-19) pneumonia caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Their comments are very helpful to improve the expression and increase the quality of our paper [1]. We agree that the first question of the 95% confidence interval of pre-existing cardiovascular or cerebrovascular diseases was incorrect. Since all indicators are in the multivariate logistic regression analysis, the 95% confidence intervals of the other three indicators are modified. We have corrected the 95% confidence intervals for 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 in a revised version of the table according to the the author correction notice in this issue of the European Respiratory Journal. Many studies have found the same results, that prevalent cardiovascular disease is associated with higher mortality and severity of COVID-19 [2-4]. Furthermore, Shi et al. [5] found that patients with cardiac injury (elevated TnI) have a worse prognosis, suggesting specific target organ damage by SARS-CoV-2. Our findings were likely to be generalisable to other populations worldwide. We completely agree with H-J. Yang and co-workers that in clinical practice, a patient may undergo some laboratory examinations (such as blood regular test) several times, and the results of the same test for the same patient may be different from one time to another. The information for all patients, including demographic data, clinical characteristics, laboratory parameters and outcomes, were collected prospectively upon hospital admission in our study. We further add the time of that laboratory parameters were obtained in the methods. Overall death rate is the ratio of the number of dead individuals in a certain period to the average population number in the same period. The main difference between overall death rate and case fatality rate (CRF) is that overall death rate refers to the frequency of death from a certain disease at a certain time, while CRF is used to describe the severity of a certain disease. We have carefully studied the methods for estimating the case fatality ratio for a novel, emerging infectious disease [6]. As of midnight on 24 March 2020, the numbers of Chinese confirmed COVID-19 pneumonia cases were 81 218 and deaths were 3281. The confirmed case fatality rate was calculated using the formula: number of cumulative death/cumulative number of confirmed cases. We consent that the overall death rate from COVID-19 pneumonia is an incorrect expression. So, the overall death rate has been corrected to “confirmed case fatality rate”. This one-page PDF can be shared freely online. Shareable PDF ERJ-02961-2020.Shareable
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1.  Methods for estimating the case fatality ratio for a novel, emerging infectious disease.

Authors:  A C Ghani; C A Donnelly; D R Cox; J T Griffin; C Fraser; T H Lam; L M Ho; W S Chan; R M Anderson; A J Hedley; G M Leung
Journal:  Am J Epidemiol       Date:  2005-08-02       Impact factor: 4.897

2.  Association of Cardiac Injury With Mortality in Hospitalized Patients With COVID-19 in Wuhan, China.

Authors:  Shaobo Shi; Mu Qin; Bo Shen; Yuli Cai; Tao Liu; Fan Yang; Wei Gong; Xu Liu; Jinjun Liang; Qinyan Zhao; He Huang; Bo Yang; Congxin Huang
Journal:  JAMA Cardiol       Date:  2020-07-01       Impact factor: 14.676

3.  Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China.

Authors:  Qiurong Ruan; Kun Yang; Wenxia Wang; Lingyu Jiang; Jianxin Song
Journal:  Intensive Care Med       Date:  2020-03-03       Impact factor: 17.440

4.  Predictors of mortality for patients with COVID-19 pneumonia caused by SARS-CoV-2: a prospective cohort study.

Authors:  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
Journal:  Eur Respir J       Date:  2020-05-07       Impact factor: 16.671

5.  Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis.

Authors:  Jing Yang; Ya Zheng; Xi Gou; Ke Pu; Zhaofeng Chen; Qinghong Guo; Rui Ji; Haojia Wang; Yuping Wang; Yongning Zhou
Journal:  Int J Infect Dis       Date:  2020-03-12       Impact factor: 3.623

6.  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

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1.  Association of preserved vegetable consumption and prevalence of colorectal polyps: results from the Lanxi Pre-colorectal Cancer Cohort (LP3C).

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Review 2.  Cardiac imaging procedures and the COVID-19 pandemic: recommendations of the European Society of Cardiovascular Radiology (ESCR).

Authors:  Dietrich Beitzke; Rodrigo Salgado; Marco Francone; Karl-Friedrich Kreitner; Luigi Natale; Jens Bremerich; Matthias Gutberlet; Ellie Mousseaux; Konstantin Nikolaou; Charles Peebles; Birgitta Velthuis; Rozemarijn Vliegenthart; Christian Loewe; Tilman Emrich; Natale Luigi; Gutberlet Matthias; Vliegenthart Rozemarijn; Nikolaou Konstantin; Francone Marco; Loewe Christian; Velthuis Brigitta; Salgado Rodrigo; Peebles Charles; Mousseaux Ellie
Journal:  Int J Cardiovasc Imaging       Date:  2020-05-26       Impact factor: 2.357

3.  Early identification of patients with severe COVID-19 at increased risk of in-hospital death: a multicenter case-control study in Wuhan.

Authors:  Wei Zhou; Yisi Liu; Beibei Xu; Sa Wang; Shusheng Li; Hong Liu; Ziting Huang; Yan Luo; Ming Hu; Wenjuan Wu; Zhanguo Zhang; Xin Long; Wenbin Zou; Yi Bian; Xiaojing Zou; Malcolm Elliott; Lanxin Yue; Huifang Deng; Hairong Chen; Xueli Gao; Ying Wu; Minghao Fang; Boli Zhang; Yue Gao
Journal:  J Thorac Dis       Date:  2021-03       Impact factor: 3.005

4.  Dynamics of Peripheral Blood T-lymphocytes Have Predictive Values for the Clinical Outcome of COVID-19 Patients in Intensive Care Unit.

Authors:  Dongling Wu; Xinmin Zhang; Yonah Ziemba; Nina Haghi; Judith Brody; Peihong Hsu
Journal:  Clin Pathol       Date:  2022-01-20

5.  High-flow nasal oxygen as first-line therapy for COVID-19-associated hypoxemic respiratory failure: a single-centre historical cohort study.

Authors:  Blair Carl Schwartz; Dev Jayaraman; Stephen Su Yang; Evan G Wong; Jed Lipes; Sandra Dial
Journal:  Can J Anaesth       Date:  2022-02-24       Impact factor: 6.713

Review 6.  Potential of helper-dependent Adenoviral vectors in CRISPR-cas9-mediated lung gene therapy.

Authors:  Ranmal Avinash Bandara; Ziyan Rachel Chen; Jim Hu
Journal:  Cell Biosci       Date:  2021-07-23       Impact factor: 7.133

7.  Intensive care unit isolation hood decreases risk of aerosolization during noninvasive ventilation with COVID-19.

Authors:  Kendrick M Shaw; Angela L Lang; Rodrigo Lozano; Michele Szabo; Samuel Smith; Jingping Wang
Journal:  Can J Anaesth       Date:  2020-05-26       Impact factor: 6.713

8.  Cardiac injury and mortality in patients with Coronavirus disease 2019 (COVID-19): insights from a mediation analysis.

Authors:  Alberto Cipriani; Federico Capone; Filippo Donato; Leonardo Molinari; Davide Ceccato; Alois Saller; Lorenzo Previato; Raffaele Pesavento; Cristiano Sarais; Paola Fioretto; Sabino Iliceto; Dario Gregori; Angelo Avogaro; Roberto Vettor
Journal:  Intern Emerg Med       Date:  2020-09-27       Impact factor: 3.397

9.  Severity-associated markers and assessment model for predicting the severity of COVID-19: a retrospective study in Hangzhou, China.

Authors:  Jianjiang Qi; Di He; Dagan Yang; Mengyan Wang; Wenjun Ma; Huaizhong Cui; Fei Ye; Fei Wang; Jinjian Xu; Zhijian Li; Chuntao Liu; Jing Wu; Kexin Qi; Rui Wu; Jinsong Huang; Shourong Liu; Yimin Zhu
Journal:  BMC Infect Dis       Date:  2021-08-09       Impact factor: 3.090

Review 10.  Global burden of acute myocardial injury associated with COVID-19: A systematic review, meta-analysis, and meta-regression.

Authors:  Semagn Mekonnen Abate; Bahiru Mantefardo; Solomon Nega; Yigrem Ali Chekole; Bivash Basu; Siraj Ahmed Ali; Moges Taddesse
Journal:  Ann Med Surg (Lond)       Date:  2021-07-28
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