tetano
Editor, Senior Moderator
BMC Infect Dis
. 2021 Jul 8;21(1):663.
doi: 10.1186/s12879-021-06369-0.
Predictors of mortality in patients with coronavirus disease 2019: a systematic review and meta-analysis
Changcheng Shi[SUP] #[/SUP][SUP] 1 [/SUP], Limin Wang[SUP] #[/SUP][SUP] 2 [/SUP], Jian Ye[SUP] #[/SUP][SUP] 2 [/SUP], Zhichun Gu[SUP] #[/SUP][SUP] 3 [/SUP], Shuying Wang[SUP] 4 [/SUP], Junbo Xia[SUP] 2 [/SUP], Yaping Xie[SUP] 5 [/SUP], Qingyu Li[SUP] 1 [/SUP], Renjie Xu[SUP] 6 [/SUP], Nengming Lin[SUP] 7 8 [/SUP]
Affiliations
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.
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.
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.
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.
Keywords: COVID-19; Meta-analysis; Mortality; Predictors; Systematic review.
. 2021 Jul 8;21(1):663.
doi: 10.1186/s12879-021-06369-0.
Predictors of mortality in patients with coronavirus disease 2019: a systematic review and meta-analysis
Changcheng Shi[SUP] #[/SUP][SUP] 1 [/SUP], Limin Wang[SUP] #[/SUP][SUP] 2 [/SUP], Jian Ye[SUP] #[/SUP][SUP] 2 [/SUP], Zhichun Gu[SUP] #[/SUP][SUP] 3 [/SUP], Shuying Wang[SUP] 4 [/SUP], Junbo Xia[SUP] 2 [/SUP], Yaping Xie[SUP] 5 [/SUP], Qingyu Li[SUP] 1 [/SUP], Renjie Xu[SUP] 6 [/SUP], Nengming Lin[SUP] 7 8 [/SUP]
Affiliations
- PMID: 34238232
- DOI: 10.1186/s12879-021-06369-0
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.
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.
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.
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.
Keywords: COVID-19; Meta-analysis; Mortality; Predictors; Systematic review.