Conventional and Novel Lipid Measures and Risk of Peripheral Artery Disease

Author:

Kou Minghao1ORCID,Ding Ning1ORCID,Ballew Shoshana H.1ORCID,Salameh Maya J.2,Martin Seth S.12ORCID,Selvin Elizabeth13ORCID,Heiss Gerardo4,Ballantyne Christie M.5,Matsushita Kunihiro12ORCID,Hoogeveen Ron C.56ORCID

Affiliation:

1. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (M.K., N.D., S.H.B., S.S.M., E.S., K.M.).

2. Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD (M.J.S., S.S.M., K.M.).

3. Division of General Internal Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD (E.S.).

4. Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC (G.H.).

5. Department of Medicine, Baylor College of Medicine, Houston, TX (C.M.B., R.C.H.).

6. Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX (R.C.H).

Abstract

Objective: The aim of this study was to comprehensively assess the association of multiple lipid measures with incident peripheral artery disease (PAD). Approach and Results: We used Cox proportional hazards models to characterize the associations of each of the fasting lipid measures (total cholesterol, LDL-C [low-density lipoprotein cholesterol], HDL-C [high-density lipoprotein cholesterol], triglycerides, RLP-C [remnant lipoprotein cholesterol], LDL-TG [LDL-triglycerides], sdLDL-C [small dense LDL-C], and Apo-E-HDL [Apo-E-containing HDL-C]) with incident PAD identified by pertinent International Classification of Diseases, Ninth Revision, Clinical Modification ( ICD-9-CM ) hospital discharge codes (eg, 440.2) among 8330 Black and White ARIC (Atherosclerosis Risk in Communities) participants (mean age 62.8 [SD 5.6] years) free of PAD at baseline (1996–1998) through 2015. Since lipid traits are biologically correlated to each other, we also conducted principal component analysis to identify underlying components for PAD risk. There were 246 incident PAD cases with a median follow-up of 17 years. After accounting for potential confounders, the following lipid measures were significantly associated with PAD (hazard ratio per 1-SD increment [decrement for HDL-C and Apo-E-HDL]): triglycerides, 1.21 (95% CI, 1.08–1.36); RLP-C, 1.18 (1.08–1.29); LDL-TG, 1.18 (1.05–1.33); HDL-C, 1.39 (1.16–1.67); and Apo-E-HDL, 1.27 (1.07–1.51). The principal component analysis identified 3 components (1: mainly loaded by triglycerides, RLP-C, LDL-TG, and sdLDL-C; 2: by HDL-C and Apo-E-HDL; and 3: by LDL-C and RLP-C). Components 1 and 2 showed independent associations with incident PAD. Conclusions: Triglyceride-related and HDL-related lipids were independently associated with incident PAD, which has implications on preventive strategies for PAD. However, none of the novel lipid measures outperformed conventional ones. Graphic Abstract: A graphic abstract is available for this article.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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