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Predictors of mortality in patients with coronavirus disease 2019: a systematic review and meta-analysis.

Authors :
Shi C
Wang L
Ye J
Gu Z
Wang S
Xia J
Xie Y
Li Q
Xu R
Lin N
Source :
BMC infectious diseases [BMC Infect Dis] 2021 Jul 08; Vol. 21 (1), pp. 663. Date of Electronic Publication: 2021 Jul 08.
Publication Year :
2021

Abstract

Background: Coronavirus disease 2019 (COVID-19) is associated with a high mortality rate, especially in patients with severe illness. We conducted a systematic review and meta-analysis to assess the potential predictors of mortality in patients with COVID-19.<br />Methods: PubMed, EMBASE, the Cochrane Library, and three electronic Chinese databases were searched from December 1, 2019 to April 29, 2020. Eligible studies reporting potential predictors of mortality in patients with COVID-19 were identified. Unadjusted prognostic effect estimates were pooled using the random-effects model if data from at least two studies were available. Adjusted prognostic effect estimates were presented by qualitative analysis.<br />Results: Thirty-six observational studies were identified, of which 27 were included in the meta-analysis. A total of 106 potential risk factors were tested, and the following important predictors were associated with mortality: advanced age, male sex, current smoking status, preexisting comorbidities (especially chronic kidney, respiratory, and cardio-cerebrovascular diseases), symptoms of dyspnea, complications during hospitalization, corticosteroid therapy and a severe condition. Additionally, a series of abnormal laboratory biomarkers of hematologic parameters, hepatorenal function, inflammation, coagulation, and cardiovascular injury were also associated with fatal outcome.<br />Conclusion: We identified predictors of mortality in patients with COVID-19. These findings could help healthcare providers take appropriate measures and improve clinical outcomes in such patients.

Details

Language :
English
ISSN :
1471-2334
Volume :
21
Issue :
1
Database :
MEDLINE
Journal :
BMC infectious diseases
Publication Type :
Academic Journal
Accession number :
34238232
Full Text :
https://doi.org/10.1186/s12879-021-06369-0