ORIGINAL RESEARCH article
Front. Neurol.
Sec. Stroke
Volume 16 - 2025 | doi: 10.3389/fneur.2025.1503743
Platelet-to-High-Density Lipoprotein Cholesterol Ratio as a Predictor of Stroke Risk: A Longitudinal Analysis of the China Health and Retirement Longitudinal Study
Provisionally accepted- 1Department of Neurology, Xiaolan People’s Hospital, Zhongshan, China
- 2Panzhou People's Hospital, panzhou, China
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Background: Stroke is a major health concern in aging populations. This study investigates the platelet-to-high-density lipoprotein cholesterol ratio (PHR) as a predictor of stroke risk in middleaged and older Chinese adults.Methods: We analyzed data from 8,406 participants aged ≥45 years in the China Health and Retirement Longitudinal Study (CHARLS), with an 8-year follow-up. PHR was calculated from baseline blood samples. Multivariate logistic regression models, supplemented by smooth curve fitting to assess dose-response relationships and subgroup analyses with interaction testing, assessed the association between PHR and stroke incidence, adjusting for various factors.Results: During follow-up, 753 (8.96%) participants reported a stroke. Smooth curve fitting visually confirmed a linear dose-response relationship between PHR and stroke probability. Each standard deviation increase in PHR was associated with 17% higher odds of stroke (OR: 1.17; 95% CI: 1.08-1.26, P < 0.05). The highest PHR quartile had 42% higher odds of stroke compared to the lowest (OR: 1.42; 95% CI: 1.14-1.76, P = 0.002), with a significant trend across quartiles (P < 0.05).Conclusions: Elevated PHR is independently associated with increased stroke risk in middle-aged and older Chinese adults. Incorporating PHR into existing risk assessment tools may enhance stroke risk stratification and guide preventive strategies. Further research is needed to elucidate underlying mechanisms and validate findings in diverse populations.
Keywords: Platelet-to-high-density lipoprotein cholesterol ratio, Stroke, risk prediction, longitudinal study, CHARLS, China
Received: 29 Sep 2024; Accepted: 20 Jun 2025.
Copyright: © 2025 Zhenli, Feng, Ren and Chen. 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: Laolao L Zhenli, Department of Neurology, Xiaolan People’s Hospital, Zhongshan, China
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