Significant association between anemia and higher risk for COVID-19 mortality: A meta-analysis of adjusted effect estimates - 14/07/22
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Abstract |
Objective |
This study aimed to evaluate whether there was a significant relationship between anemia and the risk for mortality among coronavirus disease 2019 (COVID-19) patients by a quantitative meta-analysis based on the adjusted effect estimates.
Methods |
A systematic search was conducted in electronic databases to identify all published literature. A random-effects meta-analysis model was used to estimate the pooled effect size and 95% confidence interval (CI). Heterogeneity test, Begg's test, subgroup analysis and meta-regression were performed.
Results |
Twenty-three articles with 573,928 COVID-19 patients were included in the quantitative meta-analysis. There was a significant association between anemia and an elevated risk of COVID-19 mortality (pooled effect size = 1.47, 95% CI [1.30–1.67]). We observed this significant association in the further subgroup analyses by age, proportion of males, sample size, study design, region and setting. Sensitivity analysis exhibited that our results were reliable. Begg's test showed that there was no publication bias. Meta-regression indicated that the tested variables might not be the source of heterogeneity.
Conclusion |
Our meta-analysis based on risk factors-adjusted effect estimates indicated that anemia was independently associated with a significantly elevated risk for mortality among COVID-19 patients.
Le texte complet de cet article est disponible en PDF.Highlights |
• | Anemia was significantly associated with higher risk for COVID-19 mortality. |
• | The pooled effects were calculated based on risk factors-adjusted effect estimates. |
• | Leave-one-out sensitivity analysis exhibited the overall results were stable and robust. |
Keywords : Anemia, COVID-19, Hemoglobin, Mortality, meta-analysis
Plan
Vol 58
P. 281-285 - août 2022 Retour au numéro
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