Association between DXA-derived body composition parameters and metabolic syndrome in liver transplant recipients
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Abstract
Objective: To evaluate the association between body composition parameters measured by Dual-energy X-ray absorptiometry (DXA) and metabolic syndrome (MetS) in liver transplant recipients (LTRs). Subject and method: A cross-sectional study was conducted on 80 outpatient LTRs at the 108 Military Central Hospital. MetS was diagnosised using Ministry of Health (2014). Body composition was assessed via DXA. Multivariate logistic regression analysis (adjusted for age and gender) was performed to identify independent predictors of MetS. Result: The prevalence of MetS was 27.5%. Unadjusted univariate analysis revealed that fat mass index , appendicular lean mass index (ALMI), and visceral adipose tissue (VAT Mass) were significantly associated with an increased risk of MetS (p<0.05). However, after adjusting for age and gender, ALMI remained the only independent predictor of MetS (aOR = 2.54; p=0.008). Central adiposity markers, including VAT Mass (OR =1,003, p=0.006), Android Fat% (OR =1.07; p=0.02), and Trunk/Limb ratio (OR = 12,26; p=0.01) were positively correlated with hyperglycemia. Conversely, hypertension and hypertriglyceridemia showed no significant association with DXA parameters (p>0.05). Conclusion: ALMI is an independent predictor of MetS in liver transplant recipients, while hyperglycemia is closely linked to central fat distribution. Utilizing DXA-derived parameters facilitates individualized nutritional strategies to preserve graft function.
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