Prevalence of cardioprotective medication use in coronary heart disease patients in South America: systematic review and meta-analysis

European Journal of Preventive Cardiology(2022)

引用 3|浏览13
暂无评分
摘要
Abstract Funding Acknowledgements Type of funding sources: None. Introduction Coronary heart disease (CHD) is the most common cause of death globally, and clinical guidelines recommend cardioprotective medications for patients with established CHD. Suboptimal use of these medications has been reported, but an overview from the South American region is lacking. Purpose Our aim is to summarize evidence on the prevalence of cardioprotective medication use for secondary prevention of CHD in South America. We also intend to explore time-trends, guideline compliance and factors associated with medication use. Methods We conducted a systematic review searching literature in PubMed, Embase, Cochrane, Lilacs and SciElo. We searched articles published from 2000 to 2021 that reported prevalence of secondary prevention medication use in South America. We pooled the prevalence estimates in a meta-analysis, described findings on guideline compliance, and used meta-regression models to analyse time-trends and identify factors associated with medication use. Results We identified 7388 publications, from which 73 were included in the review (Fig 1). Medication prevalence varied by class: beta-blockers 73.0%(95%CI 66.6%–79.1%), ACEI/ARBs 55.8% (95%CI 49.7%–61.8), antiplatelets 84.6% (95%CI 79.6%–88.5%), acetylsalicylic acid 85.1% (95%CI 79.7%–89.3%) and statins 78.5% (95%CI 70.7%–84.7%). Heterogeneity of the pooled estimates was high. Ten publications reported low medication use and nine reported adequate use. The use of beta-blockers, ACEI/ARBs and statins significantly increased from 1993 to 2020. Medication use was lower in community, public and rehabilitation settings compared to tertiary centres. Conclusion The use of most cardioprotective medication classes for secondary prevention of CHD in South America has increased over the last 20 years, but it could be further improved particularly in community settings.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要