Metabolic Syndrome Derived from Principal Component Analysis and Incident Cardiovascular Events: The Multi Ethnic Study of Atherosclerosis (MESA) and Health, Aging, and Body Composition (Health ABC)

Author:

Agarwal Subhashish12,Jacobs David R.3,Vaidya Dhananjay4,Sibley Christopher T.5,Jorgensen Neal W.6,Rotter Jerome I.7,Chen Yii-Der Ida7,Liu Yongmei8,Andrews Jeanette S.9,Kritchevsky Stephen10,Goodpaster Bret11,Kanaya Alka12,Newman Anne B.13,Simonsick Eleanor M.14,Herrington David M.2

Affiliation:

1. Division of Cardiology, Department of Internal Medicine, Oakwood Hospital and Medical Center, Dearborn, MI 48124, USA

2. Department of Cardiology, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA

3. Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA

4. Division of General Internal Medicine, Department of Medicine, John Hopkins University, Baltimore, MD 21205, USA

5. National Institutes of Health, Bethesda, MD 20892, USA

6. Department of Epidemiology, University of Washington, Seattle, WA 98195, USA

7. Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA

8. Department of Epidemiology and Prevention, Center for Human Genomics, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA

9. Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA

10. Geriatrics & Gerontology, Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA

11. Division of Endocrinology and Metabolism, University of Pittsburgh, Pittsburgh, PA 15260, USA

12. Department of General Internal Medicine, University of California, San Francisco, CA 94143, USA

13. Departments of Epidemiology and Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA

14. National Institute on Aging Intramural Research Program, Division of Geriatric Medicine and Gerontology, John Hopkins University, Baltimore, MD 21205, USA

Abstract

Background. The NCEP metabolic syndrome (MetS) is a combination of dichotomized interrelated risk factors from predominantly Caucasian populations. We propose a continuous MetS score based on principal component analysis (PCA) of the same risk factors in a multiethnic cohort and compare prediction of incident CVD events with NCEP MetS definition. Additionally, we replicated these analyses in the Health, Aging, and Body composition (Health ABC) study cohort.Methods and Results. We performed PCA of the MetS elements (waist circumference, HDL, TG, fasting blood glucose, SBP, and DBP) in 2610 Caucasian Americans, 801 Chinese Americans, 1875 African Americans, and 1494 Hispanic Americans in the multiethnic study of atherosclerosis (MESA) cohort. We selected the first principal component as a continuous MetS score (MetS-PC). Cox proportional hazards models were used to examine the association between MetS-PC and 5.5 years of CVD events (n=377) adjusting for age, gender, race, smoking and LDL-C, overall and by ethnicity. To facilitate comparison of MetS-PC with the binary NCEP definition, a MetS-PC cut point was chosen to yield the same 37% prevalence of MetS as the NCEP definition (37%) in the MESA cohort. Hazard ratio (HR) for CVD events were estimated using the NCEP and Mets-PC-derived binary definitions. In Cox proportional models, the HR (95% CI) for CVD events for 1-SD (standard deviation) of MetS-PC was 1.71 (1.54–1.90) (P<0.0001) overall after adjusting for potential confounders, and for each ethnicity, HRs were: Caucasian, 1.64 (1.39–1.94), Chinese, 1.39 (1.06–1.83), African, 1.67 (1.37–2.02), and Hispanic, 2.10 (1.66-2.65). Finally, when binary definitions were compared, HR for CVD events was 2.34 (1.91–2.87) for MetS-PC versus 1.79 (1.46–2.20) for NCEP MetS. In the Health ABC cohort, in a fully adjusted model, MetS-PC per 1-SD (Health ABC) remained associated with CVD events (HR=1.21, 95%CI 1.12–1.32) overall, and for each ethnicity, Caucasian (HR=1.24, 95%CI 1.12–1.39) and African Americans (HR=1.16, 95%CI 1.01–1.32). Finally, when using a binary definition of MetS-PC (cut point 0.505) designed to match the NCEP definition in terms of prevalence in the Health ABC cohort (35%), the fully adjusted HR for CVD events was 1.39, 95%CI 1.17–1.64 compared with 1.46, 95%CI 1.23–1.72 using the NCEP definition.Conclusion. MetS-PC is a continuous measure of metabolic syndrome and was a better predictor of CVD events overall and in individual ethnicities. Additionally, a binary MetS-PC definition was better than the NCEP MetS definition in predicting incident CVD events in the MESA cohort, but this superiority was not evident in the Health ABC cohort.

Publisher

Hindawi Limited

Subject

Cardiology and Cardiovascular Medicine

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