RESUMO
BACKGROUND: The association between obesity and infectious diseases is increasingly reported in the literature. There are scarce studies on the association between obesity and urinary tract infection after kidney transplantation (KTx). These studies defined obesity based on body mass index, and their results were conflicting. The present study aimed to evaluate this association using bioelectrical impedance analysis for body composition evaluation, and obesity definition. METHODS: A single-center cohort study was conducted. Demographic, clinical, anthropometric, and laboratory data were collected at KTx admission, and bioelectrical impedance analysis was performed to measure the visceral fat area, waist circumference, and total fat mass. The occurrence of urinary tract infection (symptomatic bacteriuria and/or histological evidence of pyelonephritis) was evaluated within three months after KTx. RESULTS: Seventy-seven patients were included in the cohort, and 67 were included in the final analysis. Urinary tract infection was diagnosed in 23.9% of the transplanted patients. Waist circumference (HR: 1.053; 95% CI 1.005-1.104; p = 0.032), visceral fat area (HR: 1.015; 95% CI 1.003-1.027; p = 0.014), and total fat mass (HR: 1.075; 95% CI 1.008-1.146; p = 0.028) were associated with urinary tract infection occurrence after KTx, using Cox regression models. Patients with high waist circumference (above 102 cm for men and above 88 cm for women) had a 4.7 times higher risk of a urinary tract infection than those with normal waist circumference (HR: 4.726; 95% CI 1.267-17.630; p = 0.021). Kaplan-Meier curves showed that patients with high waist circumference, high visceral fat area, and high total fat mass had more urinary tract infections (Log-rank test p = 0.014, p = 0.020, and p = 0.018, respectively). Body mass index was not able to predict urinary tract infection in the study sample. CONCLUSIONS: Waist circumference, visceral fat area, and total fat mass, assessed by bioelectrical impedance analysis, were predictors of urinary tract infection risk within the first three months after KTx.
RESUMO
BACKGROUND AND OBJECTIVE: Surgical complications after kidney transplantation can lead to catastrophic outcomes. Frailty has been associated with important kidney transplantation outcomes; however, there are no studies assessing this measure of physiological reserve as a specific predictor of surgical complications in this population. Such an assessment was, therefore, the objective of the present study. METHODS: A total of 87 individuals aged ≥ 18 years who underwent kidney transplantation between March 2017 and March 2018 were included. At the time of admission for kidney transplantation, demographic, clinical, and kidney transplantation data were collected, and the frailty score was calculated according to Fried et al., which comprises five components: shrinking, weakness, exhaustion, low activity, and slowed walking speed. Urological, vascular, and general surgical complications were assessed three months later, or until graft loss or death. The propensity score was used to achieve a better homogeneity of the sample, and new analyses were performed in this new, balanced sample. RESULTS: Of the 87 individuals included, 30 (34.5%) had surgical complications. After propensity score matching, the risk of surgical complications was significantly higher among the frail individuals (RR 2.14; 95% CI 1.01-4.54; p = 0.035); specifically, the risk of noninfectious surgical complications was significantly higher among these individuals (RR 2.50; 95% CI 1.11-5.62; p = 0.017). CONCLUSION: The results showed that individuals with some degree of frailty before kidney transplantation were more subject to surgical complications. The calculation of the frailty score for transplant candidates and the implementations of measures to increase the physiological reserve of these patients at the time of kidney transplantation may possibly reduce the occurrence of surgical complications.
