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Nonlinear connection between remnant cholesterol and stroke risk: evidence from the China health and retirement longitudinal study

Authors :
Yuanqing Wang
Fubing Zha
Yong Han
Ying Cai
Miaoling Chen
Cui Yang
Xiaodong Cai
Haofei Hu
Changchun Cao
Jiao Luo
Source :
Lipids in Health and Disease, Vol 22, Iss 1, Pp 1-12 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

Abstract Objective The evidence on the relationship between remnant cholesterol (RC) and stroke remains controversial. Therefore, this study aimed to explore the relationship between RC and stroke risk in a Chinese population of middle-aged and elderly individuals. Methods The present study included 10067 Chinese subjects of middle-aged and elderly individuals. The connection between RC and incident stroke was investigated using the multivariate Cox proportional hazards regression model, several sensitivity analyses, generalized additive models, and smoothed curve fitting. Results A total of 1180 participants with stroke were recorded during the follow-up period. The multivariate Cox proportional hazards regression model identified a positive connection between RC and stroke risk (hazard ratio (HR) = 1.087, 95% confidence interval (CI): 1.001–1.180). In addition, the current study discovered a nonlinear connection between RC and incident stroke, and the point of inflection for RC was 1.78 mmol/L. The risk of stroke increased by 25.1% with each unit increase in RC level when RC was

Details

Language :
English
ISSN :
1476511X
Volume :
22
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Lipids in Health and Disease
Publication Type :
Academic Journal
Accession number :
edsdoj.107b256f0b184fe1bcb759415406e2e7
Document Type :
article
Full Text :
https://doi.org/10.1186/s12944-023-01943-8