Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, 6 Clarendon Way, Leeds LS2 9DA, UK.
Leeds Institute of Data Analytics, University of Leeds, Leeds, UK.
Eur Heart J. 2022 Sep 1;43(33):3164-3178. doi: 10.1093/eurheartj/ehac227.
The effect of the COVID-19 pandemic on care and outcomes across non-COVID-19 cardiovascular (CV) diseases is unknown. A systematic review and meta-analysis was performed to quantify the effect and investigate for variation by CV disease, geographic region, country income classification and the time course of the pandemic.
From January 2019 to December 2021, Medline and Embase databases were searched for observational studies comparing a pandemic and pre-pandemic period with relation to CV disease hospitalisations, diagnostic and interventional procedures, outpatient consultations, and mortality. Observational data were synthesised by incidence rate ratios (IRR) and risk ratios (RR) for binary outcomes and weighted mean differences for continuous outcomes with 95% confidence intervals. The study was registered with PROSPERO (CRD42021265930). A total of 158 studies, covering 49 countries and 6 continents, were used for quantitative synthesis. Most studies (80%) reported information for high-income countries (HICs). Across all CV disease and geographies there were fewer hospitalisations, diagnostic and interventional procedures, and outpatient consultations during the pandemic. By meta-regression, in low-middle income countries (LMICs) compared to HICs the decline in ST-segment elevation myocardial infarction (STEMI) hospitalisations (RR 0.79, 95% confidence interval [CI] 0.66-0.94) and revascularisation (RR 0.73, 95% CI 0.62-0.87) was more severe. In LMICs, but not HICs, in-hospital mortality increased for STEMI (RR 1.22, 95% CI 1.10-1.37) and heart failure (RR 1.08, 95% CI 1.04-1.12). The magnitude of decline in hospitalisations for CV diseases did not differ between the first and second wave.
There was substantial global collateral CV damage during the COVID-19 pandemic with disparity in severity by country income classification.
新冠疫情对非 COVID-19 心血管疾病(CV)的护理和结局的影响尚不清楚。我们进行了一项系统评价和荟萃分析,以量化这种影响,并通过 CV 疾病、地理区域、国家收入分类以及疫情的时间进程来探讨其变化。
从 2019 年 1 月至 2021 年 12 月,我们检索了 Medline 和 Embase 数据库,以查找比较疫情期间和疫情前与 CV 疾病住院、诊断和介入程序、门诊咨询以及死亡率相关的观察性研究。观察性数据通过发病率比值(IRR)和风险比(RR)进行二进制结局的综合分析,通过加权均数差值进行连续结局的综合分析,置信区间为 95%。该研究在 PROSPERO(CRD42021265930)上进行了注册。共纳入 158 项研究,涵盖 49 个国家和 6 个大洲,用于定量综合分析。大多数研究(80%)报告了高收入国家(HICs)的信息。在所有 CV 疾病和地理区域中,疫情期间的住院、诊断和介入程序以及门诊咨询均有所减少。通过荟萃回归分析,与 HICs 相比,中低收入国家(LMICs)的 ST 段抬高型心肌梗死(STEMI)住院(RR 0.79,95%置信区间 [CI] 0.66-0.94)和血运重建(RR 0.73,95% CI 0.62-0.87)的下降幅度更为严重。在 LMICs 中,但不是在 HICs 中,STEMI(RR 1.22,95% CI 1.10-1.37)和心力衰竭(RR 1.08,95% CI 1.04-1.12)的住院死亡率增加。CV 疾病住院人数的下降幅度在第一波和第二波之间没有差异。
在新冠疫情期间,全球 CV 疾病受到了严重影响,其严重程度因国家收入分类而异。