Global burden of cardiovascular diseases: projections from 2025 to 2050.

IF 8.4 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS European journal of preventive cardiology Pub Date : 2024-09-13 DOI:10.1093/eurjpc/zwae281
Bryan Chong,Jayanth Jayabaskaran,Silingga Metta Jauhari,Siew Pang Chan,Rachel Goh,Martin Tze Wah Kueh,Henry Li,Yip Han Chin,Gwyneth Kong,Vickram Vijay Anand,Jiong-Wei Wang,Mark Muthiah,Vardhmaan Jain,Anurag Mehta,Shir Lynn Lim,Roger Foo,Gemma A Figtree,Stephen J Nicholls,Mamas A Mamas,James L Januzzi,Nicholas W S Chew,A Mark Richards,Mark Y Chan
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Abstract

AIMS The prediction of future trends in cardiovascular disease (CVD) mortality and their risk factors can assist policy-makers in healthcare planning. This study aims to project geospatial trends in CVDs and their underlying risk factors from 2025 to 2050. METHODS AND RESULTS Using historical data on mortality and disability-adjusted life years (DALYs) from the Global Burden of Disease (GBD) 2019 study, encompassing the period of 1990 to 2019, Poisson regression was performed to model mortality and DALYs associated with CVD and its associated risk factors from 2025 to 2050. Subgroup analysis was based on GBD super-regions. Between 2025 and 2050, a 90.0% increase in cardiovascular prevalence, 73.4% increase in crude mortality, and 54.7% increase in crude DALYs are projected, with an expected 35.6 million cardiovascular deaths in 2050 (from 20.5 million in 2025). However, age-standardized cardiovascular prevalence will be relatively constant (-3.6%), with decreasing age-standardized mortality (-30.5%) and age-standardized DALYs (-29.6%). In 2050, ischaemic heart disease will remain the leading cause of cardiovascular deaths (20 million deaths) while high systolic blood pressure will be the main cardiovascular risk factor driving mortality (18.9 million deaths). Central Europe, Eastern Europe, and Central Asia super-region is set to incur the highest age-standardized cardiovascular mortality rate in 2050 (305 deaths per 100 000 population). CONCLUSION In the coming decades, the relatively constant age-standardized prevalence of global CVD suggests that the net effect of summative preventative efforts will likely continue to be unchanged. The fall in age-standardized cardiovascular mortality reflects the improvement in medical care following diagnosis. However, future healthcare systems can expect a rapid rise in crude cardiovascular mortality, driven by the ageing global populace. The continued rise in CVD burden will largely be attributed to atherosclerotic diseases. REGISTRATION Not applicable.
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目的预测心血管疾病(CVD)死亡率及其风险因素的未来趋势有助于政策制定者进行医疗保健规划。本研究旨在预测 2025 年至 2050 年心血管疾病及其潜在风险因素的地理空间趋势。方法与结果利用《全球疾病负担》(GBD)2019 年研究(涵盖 1990 年至 2019 年)中有关死亡率和残疾调整寿命年数(DALYs)的历史数据,采用泊松回归法建立 2025 年至 2050 年与心血管疾病及其相关风险因素有关的死亡率和残疾调整寿命年数模型。分组分析基于 GBD 超级区域。预计 2025 年至 2050 年期间,心血管病发病率将增加 90.0%,粗死亡率将增加 73.4%,粗残疾调整寿命年数将增加 54.7%,预计 2050 年心血管病死亡人数将达到 3560 万(2025 年为 2050 万)。然而,年龄标准化心血管病发病率将相对稳定(-3.6%),年龄标准化死亡率(-30.5%)和年龄标准化残疾调整寿命年数(-29.6%)将下降。2050 年,缺血性心脏病仍将是心血管疾病死亡的主要原因(2000 万人死亡),而高收缩压将是导致死亡的主要心血管风险因素(1890 万人死亡)。2050 年,中欧、东欧和中亚超级区域将成为年龄标准化心血管死亡率最高的地区(每 10 万人中有 305 人死亡)。年龄标准化心血管病死亡率的下降反映了诊断后医疗护理的改善。然而,在全球人口老龄化的推动下,未来的医疗保健系统预计心血管疾病的粗死亡率将迅速上升。心血管疾病负担的持续上升将主要归因于动脉粥样硬化性疾病。
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来源期刊
European journal of preventive cardiology
European journal of preventive cardiology CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
12.50
自引率
12.00%
发文量
601
审稿时长
3-8 weeks
期刊介绍: European Journal of Preventive Cardiology (EJPC) is an official journal of the European Society of Cardiology (ESC) and the European Association of Preventive Cardiology (EAPC). The journal covers a wide range of scientific, clinical, and public health disciplines related to cardiovascular disease prevention, risk factor management, cardiovascular rehabilitation, population science and public health, and exercise physiology. The categories covered by the journal include classical risk factors and treatment, lifestyle risk factors, non-modifiable cardiovascular risk factors, cardiovascular conditions, concomitant pathological conditions, sport cardiology, diagnostic tests, care settings, epidemiology, pharmacology and pharmacotherapy, machine learning, and artificial intelligence.
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