Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Yusuf Hamied Department of Chemistry, University of Cambridge, UK.
Am J Emerg Med. 2022 Aug;58:281-285. doi: 10.1016/j.ajem.2022.06.030. Epub 2022 Jun 22.
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.
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.
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.
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.
本研究旨在通过基于调整后效应估计的定量荟萃分析，评估贫血与 2019 年冠状病毒病（COVID-19）患者死亡风险之间是否存在显著关系。
系统检索电子数据库以确定所有已发表的文献。使用随机效应荟萃分析模型来估计汇总效应大小和 95%置信区间（CI）。进行了异质性检验、贝叶斯检验、亚组分析和荟萃回归。
定量荟萃分析纳入了 23 篇文章，涉及 573928 名 COVID-19 患者。贫血与 COVID-19 死亡率升高之间存在显著关联（汇总效应大小=1.47，95%CI [1.30-1.67]）。我们在按年龄、男性比例、样本量、研究设计、地区和环境进行的进一步亚组分析中观察到了这种显著关联。敏感性分析表明我们的结果是可靠的。贝叶斯检验表明不存在发表偏倚。荟萃回归表明，测试的变量可能不是异质性的来源。
我们基于危险因素调整后效应估计的荟萃分析表明，贫血与 COVID-19 患者死亡率显著升高独立相关。
