| Autor: |
Yingmei Li, Hao Wang, Yang Xiao, Handong Yang, Sihan Wang, Ling Liu, Hao Cai, Xiaomin Zhang, Huiru Tang, Tangchun Wu, Gaokun Qiu |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Journal of Advanced Research, Vol 65, Iss , Pp 273-282 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2090-1232 |
| DOI: |
10.1016/j.jare.2023.12.009 |
| Popis: |
Introduction: Previous lipidomics studies have identified various lipid predictors for cardiovascular risk, however, with limited predictive increment, sometimes using too many predictor variables at the expense of practical efficiency. Objectives: To search for lipid predictors of future coronary heart disease (CHD) with stronger predictive power and efficiency to guide primary intervention. Methods: We conducted a prospective nested case-control study involving 1,621 incident CHD cases and 1:1 matched controls. Lipid profiling of 161 lipid species for baseline fasting plasma was performed by liquid chromatography-mass spectrometry. Results: In search of CHD predictors, seven lipids were selected by elastic-net regression during over 90% of 1000 cross-validation repetitions, and the derived composite lipid score showed an adjusted odds ratio of 3.75 (95% confidence interval: 3.15, 4.46) per standard deviation increase. Addition of the lipid score into traditional risk model increased c-statistic to 0.736 by an increment of 0.077 (0.063, 0.092). From the seven lipids, we found mediation of CHD risk from baseline diabetes through sphingomyelin (SM) 41:1b with a considerable mediation proportion of 36.97% (P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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