Increased risk of new-onset cardiovascular disease after COVID-19: A systematic review and meta-analysis of 14 cohorts

IF 9 2区 医学 Q1 VIROLOGY
Mingyao Sun, Mengyuan Yuan, Honghao Lai, Qian Wang, Hengyang Wang, Lina Xing, Jinhui Tian, Zhigang Zhang, Long Ge
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引用次数: 0

Abstract

Cardiovascular diseases (CVD) are common in long COVID, yet the associated risk remains uncertain. We aimed to quantify the risk of new-onset cardiovascular diseases after COVID-19. We searched PubMed, Embase, and Web of Science from inception up to October 2022. Cohort studies that provided information on the number, proportion, or relative risks (RR) of cardiovascular diseases after COVID-19 were included. Paired reviewers independently screened studies, extracted data, and assessed the risk of bias. We performed random-effects models meta-analyses to calculate RR and corresponding 95% confidence interval (95%CI), and conducted subgroup analyses and meta-regression to explore the potential risk factors. Absolute effects were calculated to facilitate interpretation. The Grading of Recommendations, Assessment, Development and Evaluation approach was used to assess the certainty of evidence. Outcomes of interest were any CVD, major adverse cardiovascular events (MACE), arrhythmias, heart failure, myocarditis, and thrombotic events. Fourteen cohort studies with over 25.37 million participants were included. The results showed a 2.42 times higher risk of any CVD (RR = 2.42, 95% CI: 1.24–4.71; 51 more per 1000), a 95% higher risk of MACE (RR = 1.95, 95% CI: 1.59–2.40; 4 more per 1000), a 61% higher risk of arrhythmias (RR = 1.61, 95% CI: 1.42–1.83; 12 more per 1000), a 71% higher risk of heart failure (RR = 1.71, 95% CI: 1.33–2.21; 2 more per 1000), a 5 times higher risk of myocarditis (RR = 5.06, 95% CI: 3.78–6.77; 4 more per 1000), and a 2.49 times higher risk of thrombotic events (RR = 2.49, 95% CI: 1.22–5.06; 6 more per 1000) associated with COVID-19. Besides, for thrombotic events, a statistically significant subgroup effect was observed in male participants compared to females (Pinteraction = 0.008). The certainty of evidence was high for myocarditis, but low or very low for other outcomes. The results clearly showed varying degrees of elevated new-onset CVD risk in post-COVID-19 individuals. Additionally, our findings suggest that male patients face a higher risk of thrombotic events. However, the differences in pooled results between studies, and the over-precision due to the large sample size of the included studies resulted in high heterogeneity of exceeding 90% in most outcomes, which led to low certainty of evidence.
COVID-19 后新发心血管疾病的风险增加:对14个队列的系统回顾和荟萃分析
心血管疾病(CVD)在长期 COVID 中很常见,但相关风险仍不确定。我们旨在量化 COVID-19 后新发心血管疾病的风险。我们检索了从开始到 2022 年 10 月的 PubMed、Embase 和 Web of Science。纳入了提供 COVID-19 后心血管疾病的数量、比例或相对风险 (RR) 信息的队列研究。配对审稿人独立筛选研究、提取数据并评估偏倚风险。我们进行了随机效应模型荟萃分析以计算RR和相应的95%置信区间(95%CI),并进行了亚组分析和荟萃回归以探讨潜在的风险因素。为便于解释,还计算了绝对效应。采用推荐、评估、发展和评价分级法评估证据的确定性。研究结果包括任何心血管疾病、主要不良心血管事件(MACE)、心律失常、心力衰竭、心肌炎和血栓事件。共纳入了 14 项队列研究,参与者超过 2537 万人。结果显示,发生任何心血管疾病的风险高出 2.42 倍(RR = 2.42,95% CI:1.24-4.71;每 1000 人多 51 人),发生 MACE 的风险高出 95%(RR = 1.95,95% CI:1.59-2.40;每 1000 人多 4 人),发生心律失常的风险高出 61%(RR = 1.61,95% CI:1.42-1.83;每 1000 人多 12 人),发生心力衰竭的风险高出 71%(RR = 1.71,95% CI:1.33-2.21;每 1000 人增加 2 人),心肌炎风险增加 5 倍(RR = 5.06,95% CI:3.78-6.77;每 1000 人增加 4 人),血栓事件风险增加 2.49 倍(RR = 2.49,95% CI:1.22-5.06;每 1000 人增加 6 人)。此外,就血栓事件而言,与女性相比,男性参与者中出现了具有统计学意义的亚组效应(Pinteraction = 0.008)。心肌炎的证据确定性较高,但其他结果的证据确定性较低或很低。研究结果清楚地表明,COVID-19 后患者新发心血管疾病的风险有不同程度的升高。此外,我们的研究结果表明,男性患者面临更高的血栓事件风险。然而,不同研究之间的汇总结果存在差异,而且由于纳入研究的样本量大而过于精确,导致大多数结果的异质性很高,超过了 90%,因此证据的确定性较低。
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来源期刊
Reviews in Medical Virology
Reviews in Medical Virology 医学-病毒学
CiteScore
21.40
自引率
0.90%
发文量
88
期刊介绍: Reviews in Medical Virology aims to provide articles reviewing conceptual or technological advances in diverse areas of virology. The journal covers topics such as molecular biology, cell biology, replication, pathogenesis, immunology, immunization, epidemiology, diagnosis, treatment of viruses of medical importance, and COVID-19 research. The journal has an Impact Factor of 6.989 for the year 2020. The readership of the journal includes clinicians, virologists, medical microbiologists, molecular biologists, infectious disease specialists, and immunologists. Reviews in Medical Virology is indexed and abstracted in databases such as CABI, Abstracts in Anthropology, ProQuest, Embase, MEDLINE/PubMed, ProQuest Central K-494, SCOPUS, and Web of Science et,al.
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