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ORIGINAL RESEARCH article

Front. Neurol.

Sec. Neuroepidemiology

Volume 16 - 2025 | doi: 10.3389/fneur.2025.1673606

Exploring the Stroke Burden Linked to Kidney Dysfunction: Trends, Predictive Insights, and Health Inequalities

Provisionally accepted
  • 1Zhejiang Chinese Medical University, Hangzhou, China
  • 2Zhejiang Hospital, Hangzhou, China

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

Background: Over the past 30 years, the prevalence of kidney disease has increased, underscoring the need to address the stroke burden linked to kidney dysfunction. This study aims to analyze trends and factors underlying the stroke burden and its subtypes attributable to kidney dysfunction from 1990 to 2021. Methods: In this study, we used Global Burden of Disease data to assess stroke burden attributable to kidney dysfunction within the GBD framework. Methods included joinpoint models, decomposition analysis, age-period-cohort models, Bayesian models, and health inequality analysis. Results: The burden of stroke attributable to kidney dysfunction remains significant, with aging as a key factor. By 2021, such strokes caused 676.1×10³ (95% CI: 467.78×10³, 896.74×10³) deaths and 15009.65×10³ (95% CI: 10939.08×10³, 19133.72×10³) DALYs globally. Males experience a higher burden (ASMR of 9.16 and ASDR of 200.83 per 100,000) compared to females (ASMR of 7.17 and ASDR of 150.63 per 100,000). The burden is concentrated in low SDI countries, with trends intensifying for total and ischemic strokes. Projections suggest a decline in overall burden, but an increase in ischemic stroke among younger populations. Conclusions: The global stroke burden attributable to kidney dysfunction remains significant, with regional disparities. Public health authorities should create targeted guidelines considering economic levels, stroke subtypes, gender, and age to effectively mitigate this burden.

Keywords: Global burden of disease, Kidney dysfunction, Stroke, socio-demographic index, Inequality

Received: 15 Aug 2025; Accepted: 14 Oct 2025.

Copyright: © 2025 Tang, Lu, Shunan, Wan and Wang. 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:
Shu Wan, wanshu@zju.edu.cn
Ming Wang, minghui0507@zju.edu.cn

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