P1653METABOLIC SYNDROME-RELATED DIETARY PATTERN AND RISK FOR MORTALITY IN RENAL TRANSPLANT RECIPIENTS

Abstract

Abstract Background and Aims The metabolic syndrome (MetS) is an important risk factor for premature mortality in renal transplant recipients (RTR). Diet plays an important role in MetS development. Although an unhealthy diet may affect the long term outcome in RTR, no specific dietary patterns have been established that are linked with MetS in RTR. Reduced rank regression (RRR) has emerged as a method that identifies linear functions of predictor variables (food groups) that explain maximized variation in the response variables (biomarkers). We aim to identify a MetS-related dietary pattern (MetS-DP) in RTR, and to test its association with all-cause mortality. Method We included 432 adult RTR who had a functioning graft ≥1 year and were free of diabetes at baseline. The MetS-DP was constructed at baseline using dietary information derived from a 177-item food frequency questionnaire by reduced rank regression (RRR). In the RRR model, six components of MetS were used as response variable (age- and sex- adjusted waist circumference, systolic blood pressure, diastolic blood pressure, serum triglycerides, HbA1c, and HDL cholesterol), and 48 food groups were made as predictor variables. Using Cox proportional regression, we evaluated the association between the Met-DP score and all-cause mortality in RTR. Results The MetS-DP was characterized by a high intake of fat processed meat and desserts, and a low intake of vegetables, tea, rice, fruits, milk and vegetarian products. During a mean follow-up of 5.2 ±1.2 year, 64 RTRs (14.8%) died. Multivariate analysis showed that RTR in the highest tertile of MetS-DP score had a higher risk of all-cause mortality (hazard ratio [HR]=2.38; 95% confidence interval [CI],1.16-4.91, P=0.018) compared to the lowest tertile, independent of potential confounders. Conclusion The results suggest that the MetS-DP is significantly associated with all-cause mortality in RTR. Dietary measures may be useful to prevent MetS and reduce mortality in RTR.