ABSTRACT
AIM: Posttransplant diabetes mellitus (PTDM) is a metabolic complication that usually occurs after liver transplantation (LT) due to immunosuppression. In this study, our aim was to identify PTDM incidence after LT in our center and the potential risk factors. MATERIALS AND METHODS: In this study, 238 adult LT patients were evaluated in terms of PTDM development. RESULTS: Of 238 patients included in the study, 170 (71.4%) were male, 68 (28.6%) were female and the mean age was 43.5± 13.7 years. Of all patients, PTDM developed in 24 (10.1%). Transient-Hyperglycemia (t-HG) was detected in 31 (13%) patients. PTDM and t-HG patients had a greater body weight than non-PTDM patients (BMI kg/m2: 27.6± 5.3, 25.8± 4.3and 23.9± 3.3, respectively p<0.001 p= 0.028). PTDM and t-HG patients mean age was higher than non-PTDM patients (51.5± 9.68, 48.2± 11.1 and 41.5± 14 years, respectively, p= 0.002 p= 0.023). In the univariate analysis, the only independent risk factor for PTDM was age (OR 1.93, 95% CI 1.31-2.97). CONCLUSION: Age is the most important risk factor for PTDM development after LT. PTDM was found more common in the patient group with greater body weight. Patients with older age and greater body weight should be examined more carefully for PTDM before LT.
ABSTRACT
CONTEXT: Visceral adipose tissue (VAT) is a strong predictor of carbohydrate metabolism disorders. Abdominal bioelectrical impedance analysis (A-BIA) is a simple method for the measurement of VAT and is a promising tool in screening and follow-up of abdominal obesity. However the role of A-BIA in dieting individuals has not been evaluated adequately in longitudinal follow-up studies. OBJECTIVE: The aim of this study is to determine the role of A-BIA in identifying the changes in metabolic predictors after diet and/or exercise therapy. DESIGN: All patients who sought weight loss treatment underwent baseline assessment and were prescribed a program of diet. After a mean follow-up of 3.2 months, data were analyzed. SUBJECTS AND METHODS: Ultimately, 103 participants who reported adhering to the diet, enrolled to the study. We tested associations between changes in body composition measures and changes in laboratory measures using correlations and multivariate linear regression analysis. RESULTS: Mean loss of body weight was 3.4±2.8 kg. All but waist-to-hip ratio, low-density lipoprotein cholesterol and high-density lipoprotein cholesterol levels changed significantly (p<0.001). Decreases in body weight, body mass index (BMI), and VAT level significantly correlated with decreases in fasting blood glucose, fasting insulin level, and HOMA-IR score (r=0.230-0.371). In multiple linear regression analysis changes in BMI and VAT significantly correlated with change in HOMA-IR score (F(7.93)=2.283, p=0.034, R2=0.147). CONCLUSION: Decreases in BMI and VAT, as determined by A-BIA, were predictors of changes in metabolic laboratory measures. A-BIA is useful for follow-up of patients receiving diet therapy for weight loss.
