Department of Biochemistry, Pandit Raghunath Murmu Medical College and Hospital, Baripada, Mayurbhanj, Odisha, 757107, India.
Department of Biochemistry, Shyam Shah Medical College, Rewa, Madhya Pradesh, 486001, India.
Clin Nutr ESPEN. 2021 Oct;45:91-101. doi: 10.1016/j.clnesp.2021.07.023. Epub 2021 Jul 31.
Coronavirus disease-2019 (COVID-19) is a global pandemic. Studies reported dyslipidemia in patients with COVID-19. Herein, we conducted a systematic review and meta-analysis of published articles to evaluate the association of the lipid profile with the severity and mortality in COVID-19 patients.
PubMed/Medline, Europe PMC, and Google Scholar were searched for studies published between January 1, 2020 and January 13, 2021. Random or Fixed effects models were used to calculate the mean difference (MD) and 95% confidence intervals (CIs). Statistical heterogeneity was assessed using Cochran's Q test and I statistics.
This meta-analysis included 19 studies. Of which, 12 studies were categorized by severity, 04 studies by mortality, and 03 studies by both severity and mortality. Our findings revealed significantly decreased levels of total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) in the severe group when compared with the non-severe group in a random effect model. Similarly, random effect model results demonstrated significantly lower levels of HDL-C and LDL-C in the non-survivor group when compared with the survivor group. The level of TC was also found to be decreased in the non-survivor group when compared to the survivor group in a fixed-effect model.
In conclusion, the lipid profile is associated with both the severity and mortality in COVID-19 patients. Hence, the lipid profile may be used for assessing the severity and prognosis of COVID-19.
CRD42021216316.
2019 年冠状病毒病(COVID-19)是一种全球大流行疾病。有研究报道 COVID-19 患者存在血脂异常。在此,我们对已发表的文章进行了系统评价和荟萃分析,以评估血脂谱与 COVID-19 患者严重程度和死亡率之间的相关性。
检索了 2020 年 1 月 1 日至 2021 年 1 月 13 日期间发表的文章,包括 PubMed/Medline、Europe PMC 和 Google Scholar。使用随机或固定效应模型计算平均值差(MD)和 95%置信区间(CI)。使用 Cochran's Q 检验和 I 统计量评估统计学异质性。
本荟萃分析共纳入 19 项研究。其中,12 项研究按严重程度分类,4 项研究按死亡率分类,3 项研究同时按严重程度和死亡率分类。我们的研究结果显示,在随机效应模型中,严重组患者的总胆固醇(TC)、高密度脂蛋白胆固醇(HDL-C)和低密度脂蛋白胆固醇(LDL-C)水平明显低于非严重组。同样,随机效应模型结果表明,非幸存者组的 HDL-C 和 LDL-C 水平明显低于幸存者组。在固定效应模型中,非幸存者组的 TC 水平也低于幸存者组。
综上所述,血脂谱与 COVID-19 患者的严重程度和死亡率均相关。因此,血脂谱可用于评估 COVID-19 的严重程度和预后。
PROSPERO 注册号:CRD42021216316。