five

Temporal trends and machine learning prediction for chronic kidney disease due to hypertension in young adults from 1990 to 2021: an analysis of the global burden of disease study 2021

收藏
Figshare2025-10-08 更新2026-04-28 收录
下载链接:
https://figshare.com/articles/dataset/Temporal_trends_and_machine_learning_prediction_for_chronic_kidney_disease_due_to_hypertension_in_young_adults_from_1990_to_2021_an_analysis_of_the_global_burden_of_disease_study_2021/30304444
下载链接
链接失效反馈
官方服务:
资源简介:
Young adults aged 25–49, at the peak of work and family responsibilities, face serious health and productivity challenges when affected by chronic kidney disease (CKD) due to hypertension. Using Global Burden of Disease (GBD) 1990-2021 data, we assessed global, regional, and national CKD burden due to hypertension in young adults, focusing on mortality and disability-adjusted life years (DALYs). Trends analyzed by Joinpoint regression and forecasted to 2040 using eight machine learning models. In 2021, global mortality from CKD due to hypertension reached 18,675.24 cases, a 157.55% increase since 1990. The age-standardized mortality rate (ASMR) rose from 0.31 to 0.45 per 100,000 persons, with an average annual percentage change (AAPC) of 1.24% (p p CKD due to hypertension is a growing global challenge in young adults. Substantial heterogeneity exists in the disease burden and its temporal trends across countries and regions, highlighting the strong distributive inequities of CKD worldwide.
创建时间:
2025-10-08
二维码
社区交流群
二维码
科研交流群
商业服务