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ORIGINAL RESEARCH article

Front. Neurol.

Sec. Neurological Biomarkers

Association Between Advanced Lung Cancer Inflammation Index Levels and Ischemic Stroke in Patients with Atrial Fibrillation: A Propensity Score-Matching Analysis

Provisionally accepted
  • The First People's Hospital of Changde City, Changde, China

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

Inflammation is closely associated with atrial fibrillation (AF) complicated by stroke. The Advanced Lung Cancer Index (ALI) is a comprehensive indicator of inflammation; however, its relationship with AF-related stroke is unclear. Therefore, this retrospective study was conducted to explore the correlation between ALI and ischemic stroke in patients with AF. Patients were divided into two groups according to the optimal cutoff value of ALI: low ALI and high ALI groups. The primary outcome was ischemic stroke in patients with AF. To ensure robustness of the findings, propensity score matching, multivariate logistic regression, inverse probability weighting models, and doubly robust analysis were performed. Of 2,630 eligible patients (screened: 1,879), 15.6% had a past medical history of ischemic stroke. Restricted cubic splines showed a linear dose–response relationship between baseline ALI and stroke risk (p for non-linearity = 0.46). A propensity-adjusted doubly robust analysis of 874 matched patients revealed a graded protective effect with increasing ALI quintiles: compared with the Q1 group, the Q4 and Q5 groups had odds ratios of 0.38 (95% CI 0.25-0.58) and 0.54 (0.35-0.82), respectively. Consistency across subgroups and sensitivity analysis confirmed the robustness of the results. ALI showed a significant protective association with ischemic stroke in participants with AF, as increased ALI level was associated with lower prevalence of ischemic stroke.

Keywords: Ali, Atrial Fibrillation, ischemic stroke, Inflammation, Propensity score matching

Received: 15 Aug 2025; Accepted: 26 Nov 2025.

Copyright: © 2025 Yu, Li, Lu and Zuoan. 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: Jiangbiao Yu

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