基于1990-2021年全球疾病负担研究的缺血性卒中流行病学和未来趋势预测

IF 5.4 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Jiayu Liu, Aoxi Xu, Zhifeng Zhao, Bin Ren, Zhao Gao, Dandong Fang, Bo Hei, Junzhao Sun, Xiangyang Bao, Lin Ma, Xiaoque Zheng, Yuxin Wang, Hecheng Ren, Guan Wang, Li Zhu, Jianning Zhang
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引用次数: 0

摘要

背景:可视化2021年全球疾病、损伤和风险因素负担研究(GBD),并预测全球、区域和国家层面的未来疾病负担,可以帮助卫生政策制定者制定基于证据的缺血性卒中(IS)预防和治疗策略。方法:我们按性别、年龄、世界银行的经济分类和社会人口指数(SDI)水平对流行病学参数进行分层。我们使用前沿分析来评估每个国家的缺血性中风(IS)负担是否与其经济发展水平相一致。我们应用自回归综合移动平均(ARIMA)模型和贝叶斯年龄-时期-队列(BAPC)模型来预测未来15年的IS负担。结果:在这里,我们显示IS在2021年占6990万例流行病例,780万例事件病例,360万例死亡和7040万DALYs。在男性中,全球IS的DALY率在90-94岁期间上升,然后下降;然而,对于妇女来说,这一比率一直上升到最年长的年龄组(≥95岁)。从区域上看,SDI与IS年龄标准化DALY率之间的关联开始时相对平缓,在社会人口指数约为0.7时出现一个小峰值,然后迅速下降。对IS的DALY率贡献最大的因素是高收缩压、高LDL胆固醇和空气污染。结论:中高SDI国家的IS疾病负担仍然很高,这意味着到2030年我们无法实现可持续发展目标。各国应根据风险因素制定适合本国国情的防控措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Epidemiology and future trend predictions of ischemic stroke based on the global burden of disease study 1990-2021.

Background: Visualizing the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 and predicting future disease burdens at global, regional, and national levels can help health policymakers develop evidence-based ischemic stroke (IS) prevention and cure strategies.

Methods: We stratify epidemiological parameters by sex, age, the World Bank's classification of economies, and sociodemographic index (SDI) levels. We use frontier analysis to assess whether the burden of ischemic stroke (IS) in each country aligns with its level of economic development. We apply the Autoregressive Integrated Moving Average (ARIMA) model and the Bayesian age-period-cohort (BAPC) model to predict the burden of IS over the next 15 years.

Results: Here we show that IS accounts for 69.9 million prevalent cases, 7.8 million incident cases, 3.6 million deaths, and 70.4 million DALYs in 2021. In men, the global DALY rate of IS increases up to age 90-94 years and then decreases; however, for women, the rate increases up to the oldest age group (≥95 years). Regionally, we find that the association between the SDI and the age-standardized DALY rate of IS starts relatively flat, with a small peak up to a sociodemographic index of about 0.7, and then declines rapidly. Factors contributing most to the DALY rates for IS are high systolic blood pressure, high LDL cholesterol, and air pollution.

Conclusions: The disease burden of IS in medium-high SDI countries is still high, which means we could not meet the Sustainable Development Goal targets by 2030. Countries should formulate prevention and control measures suitable for their national conditions based on risk factors.

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