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ORIGINAL RESEARCH article

Front. Neurol.

Sec. Stroke

Volume 16 - 2025 | doi: 10.3389/fneur.2025.1578975

Analysis and Comparison of the Trends in Burden of Intracerebral Hemorrhage in China from 1990 to 2021: Results from the 2021 Global Burden of Disease Study

Provisionally accepted
Han  ShuaiHan Shuai1*Zirui  WangZirui Wang1Qiuyue  ZhengQiuyue Zheng1Hua  MaoHua Mao2Ju  GaoJu Gao1
  • 1Yangzhou University, Yangzhou, China
  • 2Qingdao University, Qingdao, Shandong Province, China

The final, formatted version of the article will be published soon.

Objectives: To analyze temporal trends in the incidence, prevalence, mortality, and disability-adjusted life years (DALYs) of intracerebral hemorrhage (ICH) in China from 1990 to 2021, and to evaluate risk factors and predict future trends. Methods: Data were extracted from the 2021 Global Burden of Disease Study. Join-point regression was used to estimate average annual percentage changes (AAPC) in ICH incidence and mortality. Age-period-cohort analysis assessed demographic effects, while the autoregressive integrated moving average (ARIMA) model projected ICH burden from 2020 to 2036.Results: In 2021, China reported 3.12 million ICH cases and 913,023 deaths (68.84 per 100,000). From 1990 to 2021, ICH incidence and mortality significantly declined, with AAPCs of -1.90 and -2.42, respectively. Males exhibited higher rates, and key risk factors included low vegetable intake, hypertension, and smoking. Projections suggest further declines in incidence and mortality to 50.37 and 35.01 per 100,000 by 2036.Conclusions: Despite declining trends, ICH remains a significant public health concern in China. Targeted preventive strategies focusing on dietary improvements, hypertension management, and air quality enhancement are essential to mitigate its burden.

Keywords: intracerebral hemorrhage, Global burden of disease, Joinpoint, Age-Period-Cohort analysis, ARIMA model

Received: 15 Mar 2025; Accepted: 11 Aug 2025.

Copyright: © 2025 Shuai, Wang, Zheng, Mao and Gao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Han Shuai, Yangzhou University, Yangzhou, China

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