Sarcopenia and its components in adult renal transplant recipients: prevalence and association with body adiposity.

Sarcopenia is a progressive and generalised skeletal muscle disorder associated with adverse outcomes. Ageing causes primary sarcopenia, while secondary causes include chronic kidney disease (CKD), long-term use of glucocorticoids and obesity. The aim of the present study was to evaluate the prevalence of sarcopenia using guidelines recommended by the European Working Group on Sarcopenia in Older People (EWGSOP, 2010; EWGSOP2, 2018) and the Foundation of the National Institutes of Health (FNIH) and analyse the relationship between sarcopenia and body adiposity in adult renal transplant recipients (RTR). This was a cross-sectional study of adult RTR (BMI ≥ 18·5 kg/m2). Body composition was evaluated by dual-energy X-ray absorptiometry (DXA) and anthropometry. Glomerular filtration rate was estimated (eGFR) by CKD-Epidemiology Collaboration equation. The prevalence of sarcopenia in adult RTR (n 185; 57 % men, 50 (se 0·82) years and eGFR 55·80 (se 1·52) ml/min) was 7 % (FNIH), 11 % (EWGSOP2) and 17 % (EWGSOP). Low muscle mass, muscle function and physical performance affected, respectively, up to 28, 46 and 10 % of the participants. According to EWGSOP and EWGSOP2, body adiposity evaluated by anthropometry and DXA (percentage trunk fat) was lower in participants with sarcopenia. Conversely, according to the FNIH criteria, RTR with sarcopenia presented higher waist:height ratio. The present study suggests that adult RTR sarcopenia prevalence varies according to the diagnostic criteria; low muscle mass, low muscle function and low physical performance are common conditions; the association of body adiposity and sarcopenia depends on the criteria used to define this syndrome; and the FNIH criteria detected higher adiposity in individuals with sarcopenia.

Association of habitual coffee consumption with obesity, sarcopenia, bone mineral density and cardiovascular risk factors: A two-year follow-up study in kidney transplant recipients.

BACKGROUND & AIMS: Recent evidence suggests that moderate coffee intake is associated with multiple health benefits, including lower risk of obesity, sarcopenia and cardiovascular disease (CVD) in the general population. However, to date, no study has evaluated these associations in kidney transplant recipients (KTR). The aim of the present study was to evaluate the association of habitual coffee consumption with obesity, sarcopenia, bone mineral density and CVD risk factors in KTR. METHODS: This prospective 2 years-follow-up study included 170 KTR (59% men) aged 49.5 (42.0-57.0) years. At baseline participants were submitted to the following evaluations: clinical, laboratorial, dietary intake (including coffee), muscle strength, anthropometric and body composition by bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DXA). After two years 163 KTR were re-evaluated by anthropometry, BIA and muscle strength. Sarcopenia was defined according to EWGSOP2. Risk factors for CVD were hypertension, diabetes mellitus, dyslipidemia, metabolic syndrome and hyperhomcysteinemia. Participants were stratified according to coffee intake: 0 or 1 time/day (Gr0-1) and 2 or 3 times/day (Gr2-3). RESULTS: The median coffee consumption was 200 (150-250)mL/day and 112 (71-155)mL/1000 kcal/day. At baseline, Gr2-3 vs. Gr0-1 exhibited significantly higher values of waist circumference, waist-to-height ratio (WHtR) and presented a higher odds ratio for central obesity according to WHtR (2.68; 95%CI:1.19-6.02; p = 0.02) after adjustment for confounders. Coffee consumption (mL/1000 kcal/day) showed, even after adjustment for confounders, (1) a positive association with all parameters of body adiposity (anthropometry, BIA and DXA) and (2) a negative association with muscle quality index. After two years, coffee intake (mL/1000 kcal/day) at baseline presented a positive correlation with changes in fat mass (kg) by BIA (r = 0.22, p = 0.01) after adjustment for confounders. CONCLUSION: This study suggests that in KTR, higher coffee consumption is associated with increased adiposity, specially, central adiposity and lower muscle quality, but is not related with the other evaluated parameters.

Accuracy of surrogate methods to estimate skeletal muscle mass in non-dialysis dependent patients with chronic kidney disease and in kidney transplant recipients.

BACKGROUND & AIMS: Bioelectrical impedance analysis (BIA) and anthropometric predictive equations have been proposed to estimate whole-body (SMM) and appendicular skeletal muscle mass (ASM) as surrogate for dual energy X-ray absorptiometry (DXA) in distinct population groups. However, their accuracy in estimating body composition in non-dialysis dependent patients with chronic kidney disease (NDD-CKD) and kidney transplant recipients (KTR) is unknown. The aim of this study was to investigate the accuracy and reproducibility of BIA and anthropometric predictive equations in estimating SMM and ASM compared to DXA, in NDD-CKD patients and KTR. METHODS: A cross-sectional study including adult NDD-CKD patients and KTR, with body mass index (BMI) ≥18.5 kg/m2. ASM and estimated SMM were evaluated by DXA, BIA (Janssen, Kyle and MacDonald equations) and anthropometry (Lee and Baumgartner equations). Low muscle mass (LowMM) was defined according to cutoffs proposed by guidelines for ASM, ASM/height2 and ASM/BMI. The best performing equation as surrogate for DXA, considering both groups of studied patients, was defined based in the highest Lin's concordance correlation coefficient (CCC) value, the lowest Bland-Altman bias (<1.5 kg) combined with the narrowest upper and lower limits of agreement (LoA), and the highest Cohen's kappa values for the low muscle mass diagnosis. RESULTS: Studied groups comprised NDD-CKD patients (n = 321: males = 55.1%; 65.4 ± 13.1 years; eGFR = 28.8 ± 12.7 ml/min) and KTR (n = 200: males = 57.7%; 47.5 ± 11.3 years; eGFR = 54.7 ± 20.7 ml/min). In both groups, the predictive equations presenting the best accuracy compared to DXA were SMM-BIA-Janssen (NDD-CKD patients: CCC = 0.88, 95%CI = 0.83-0.92; bias = 0.0 kg; KTR: CCC = 0.89, 95%CI = 0.86-0.92, bias = -1.2 kg) and ASM-BIA-Kyle (NDD-CKD patients: CCC = 0.87, 95%CI = 0.82-0.90, bias = 0.7 kg; KTR: CCC = 0.89, 95%CI = 0.86-0.92, bias = -0.8 kg). In NDD-CKD patients and KTR, LowMM frequency was similar according to ASM-BIA-Kyle versus ASM-DXA. The reproducibility and inter-agreement to diagnose LowMM using ASM/height2 and ASM/BMI estimated by BIA-Kyle equation versus DXA was moderate (kappa: 0.41-0.60), in both groups. Whereas female patients showed higher inter-agreement (AUC>80%) when ASM/BMI index was used, male patients presented higher AUC (70-74%; slightly <80%) for ASM/height2 index. CONCLUSIONS: The predictive equations with best performance to assess muscle mass in both NDD-CKD patients and KTR was SMM-BIA by Janssen and ASM-BIA by Kyle. The reproducibility to diagnose low muscle mass, comparing BIA with DXA, was high using ASM/BMI in females and ASM/height2 in males in both groups.