Volume 28, Issue 1 pp. 79-88
Original Article

Metabolic syndrome definitions and components in predicting major adverse cardiovascular events after kidney transplantation

G. V. Ramesh Prasad

Corresponding Author

G. V. Ramesh Prasad

Division of Nephrology, Department of Medicine, University of Toronto, Toronto, ON, Canada

Renal Transplant Program, St. Michael's Hospital, Toronto, ON, Canada

Correspondence

G. V. Ramesh Prasad MB, BS, MSc, MA, FRCPC, FACP, FASN, Division of Nephrology, University of Toronto, and Renal Transplant Program, St. Michael's Hospital, 61 Queen Street East, 9th Floor, Toronto, ON M5C 2T2, Canada.

Tel: +1 416 867 3722;

fax: +1 416 867 3709;

e-mail: [email protected]

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Michael Huang

Michael Huang

Renal Transplant Program, St. Michael's Hospital, Toronto, ON, Canada

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Samuel A. Silver

Samuel A. Silver

Division of Nephrology, Department of Medicine, University of Toronto, Toronto, ON, Canada

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Ali I. Al-Lawati

Ali I. Al-Lawati

Division of Nephrology, Department of Medicine, University of Toronto, Toronto, ON, Canada

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Lindita Rapi

Lindita Rapi

Renal Transplant Program, St. Michael's Hospital, Toronto, ON, Canada

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Michelle M. Nash

Michelle M. Nash

Renal Transplant Program, St. Michael's Hospital, Toronto, ON, Canada

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Jeffrey S. Zaltzman

Jeffrey S. Zaltzman

Division of Nephrology, Department of Medicine, University of Toronto, Toronto, ON, Canada

Renal Transplant Program, St. Michael's Hospital, Toronto, ON, Canada

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First published: 10 September 2014
Citations: 21

Summary

Metabolic syndrome (MetS) associates with cardiovascular risk post-kidney transplantation, but its ambiguity impairs understanding of its diagnostic utility relative to components. We compared five MetS definitions and the predictive value of constituent components of significant definitions for major adverse cardiovascular events (MACE) in a cohort of 1182 kidney transplant recipients. MetS definitions were adjusted for noncomponent traditional Framingham risk factors and relevant transplant-related variables. Kaplan–Meier, logistic regression, and Cox proportional hazards analysis were utilized. There were 143 MACE over 7447 patient-years of follow-up. Only the World Health Organization (WHO) 1998 definition predicted MACE (25.3 vs 15.5 events/1000 patient-years, P = 0.019). Time-to-MACE was 5.5 ± 3.5 years with MetS and 6.8 ± 3.9 years without MetS (P < 0.0001). MetS was independent of pertinent MACE risk factors except age and previous cardiac disease. Among MetS components, dysglycemia provided greatest hazard ratio (HR) for MACE (1.814 [95% confidence interval 1.26–2.60]), increased successively by microalbuminuria (HR 1.946 [1.37–2.75]), dyslipidemia (3.284 [1.72–6.26]), hypertension (4.127 [2.16–7.86]), and central obesity (4.282 [2.09–8.76]). MetS did not affect graft survival. In summary, although the WHO 1998 definition provides greatest predictive value for post-transplant MACE, most of this is conferred by dysglycemia and is overshadowed by age and previous cardiac disease.

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