women 75% and 97% and in men, 75% and 95%. The prevalence of sarcopenia in total sample was 7% (FNIH) and 5% (EWGSOP2). Low muscle mass was present in 39% (FNIH) and 36% (EWGSOP2). Dynapenia affected 10% of the participants (FNIH and EWGSOP2). Sarcopenic patients presented lower body adiposity by EWGSOP2 criteria and higher adiposity by FNIH. The impact of fatigue on daily activities was significantly different in HD patients and in individuals classified as presenting low HGS and sarcopenia. Prevalence of muscle depletion evaluated by FFMI, AFFMI and HGS varied from 11 to 50%, higher for low muscle mass. Prevalence of obesity evaluated by BMI, FMI, %FM and WC varied from 26 to 62%, higher for WC and %FM. Prevalence of sarcopenic obesity varied from 2 to 23%. Women were more affected by sarcopenic obesity. Muscle depletion and sarcopenic obesity where more prevalent among HD and obesity among NDD and KTx patients. The agreement was poor among muscle mass and strength criteria; substantial between FMI, BMI, and %FM and fair among WC and the others; for sarcopenic obesity, varied from almost perfect to poor. Conclusions: For body composition evaluation in patients with CKD, BIS applied using the whole body protocol in normal hydration patients with CKD is as reliable as DXA. However, BIS must be used with caution in overhydration patients with ECW/ICW ≥ 0.7250. The newly developed equations are indicated for greater precision. AFFM by BIS alone and in addition to HGS, FMI by BIS alone and in addition to AFFM, with the proposed cut-offs, are recommended as altenative tools for diagnosis of low muscle mass, sarcopenia, obesity and sarcopenic obesity, respectively. These alternative measurements need external validation before routine use in clinical practice. Our results suggest that in adult CKD patients, sarcopenia and low muscle mass prevalence varies according to the diagnostic criteria and are common conditions. Body adiposity association with sarcopenia depends on the criteria used to define this syndrome with FNIH criteria detecting higher adiposity in individuals with sarcopenia.Fatigue pictogram could be applied for screening patients at risk of decreased functional capacity. In addition, significant differences were found among low muscle mass vs low muscle strength and high total body fat vs high visceral fat diagnostic criteria that are added in sarcopenic obesity diagnosis.