Anthropometric Parameter That Best Predicts the Relationship Between Obesity and Osteoporosis in Kidney Transplant Recipients

Abstract

Objective: This study aimed to investigate the relationship between obesity and osteoporosis in kidney transplant recipients (KTRs) using a body shape index (ABSI), a new anthropometric measurement parameter. Materials and Methods: In this cross-sectional study, a total of 130 KTRs were included. Laboratory and demographic findings, aetiology of kidney failure, time on dialysis, donor type, time after transplantation, additional diseases, menopausal status for women and medications were recorded from patients' files. Height, weight and waist and hip circumferences were also recorded from the files. ABSI was calculated using a specific formula. Bone mineral density (BMD) was measured using dual X-ray absorptiometry. Patients were divided into the following three groups based on the T-score: Normal, osteopenia and osteoporosis groups, according to the World Health Organization recommendations. Results: According to the BMD values, 24 patients (18.5%) had normal BMD, 82 patients (63.1%) were osteopenic and 24 patients (18.5%) were osteoporotic. Patients with osteoporosis have significantly higher parathormone hormone and ABSI and lower body mass index (BMI) than patients without osteoporosis (p<0.05). A positive correlation of BMI was found in the lumbar (r=0.294, p=0.002) and femoral T-scores (r=0.216, p=0.024). A negative correlation was found between ABSI and lumbar T-score (r=-0.237, p=0.014). Receiver operating characteristic curves showed that ABSI had the optimal power to discriminate patients with/without osteoporosis in both sexes. Conclusion: ABSI is found to be a more useful tool than anthropometric measurements in predicting osteoporosis in KTRs.