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The collateral damage of COVID-19 to cardiovascular services: a meta-analysis
Ramesh Nadarajah1,2,3, Jianhua Wu2,4, Ben Hurdus3
1Leeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, 6 Clarendon Way, Leeds LS2 9DA, UK.
The COVID-19 pandemic caused significant global collateral damage to cardiovascular disease care, with lower-income countries experiencing more severe impacts on ST-segment elevation myocardial infarction hospitalizations and heart failure mortality.
Area of Science:
- Cardiology
- Public Health
- Epidemiology
Background:
- The impact of the COVID-19 pandemic on non-COVID-19 cardiovascular diseases (CV) remains unclear.
- Assessing pandemic-related changes in CV disease care and outcomes is crucial for global health planning.
Purpose of the Study:
- To systematically review and meta-analyze the effect of the COVID-19 pandemic on cardiovascular disease care and outcomes.
- To investigate variations in these effects by CV disease type, geographic region, country income, and pandemic timeline.
Main Methods:
- Systematic review and meta-analysis of observational studies (January 2019-December 2021) from Medline and Embase.
- Synthesis of data on CV disease hospitalizations, procedures, consultations, and mortality using incidence rate ratios and risk ratios.
- Meta-regression to explore variations by country income classification and pandemic waves.
Main Results:
- A significant global reduction in cardiovascular disease hospitalizations, procedures, and consultations was observed during the pandemic.
- Low-middle income countries (LMICs) experienced more severe declines in ST-segment elevation myocardial infarction (STEMI) hospitalizations and revascularization compared to high-income countries (HICs).
- In-hospital mortality for STEMI and heart failure increased in LMICs but not in HICs.
Conclusions:
- The COVID-19 pandemic resulted in substantial global collateral damage to cardiovascular disease care.
- Disparities in the severity of this damage were evident based on country income classification, with LMICs bearing a disproportionately higher burden.
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