Effect of peritoneal dialysate on bioelectrical impedance analysis variability in pediatric patients receiving peritoneal dialysis.

BACKGROUND: Previous adult studies have yielded conflicting results regarding whether the presence (D +) or absence (D-) of peritoneal dialysate affects the accuracy of bioelectrical impedance analysis (BIA) measurements. The aim of this study was to investigate whether the accuracy of BIA data varies between D + and D- measurements in children. METHODS: This cross-sectional study recruited chronic kidney disease stage 5 patients aged 3 to 18 years who received peritoneal dialysis. Body composition was assessed by multifrequency BIA, and values were compared between D + and D- measurements using the intraclass correlation coefficient (ICC). RESULTS: Fifty paired BIA measurements were collected from 18 patients with a mean age of 13.6 ± 4.1 years and a mean dialysate fill volume of 1,006 ± 239.7 ml/m2. Sixteen out of 17 BIA parameters (94.1%) exhibited excellent correlations between D + and D- measurements (ICC values = 0.954, 0.998). There was a trend of increased fluid status, including extracellular water, edema index, and overhydration, in D + measurements, with mean differences (95% CIs) of 0.5 (0.4, 0.6) L, 0.002 (0.001, 0.002), and 0.1 (0.1, 0.2) L, respectively. Soft lean mass and fat-free mass were higher in D + measurements, with mean differences (95% CIs) of 1.4 (1.2, 1.6), and 1.6 (1.4, 1.8) kg, respectively. In addition, patients older than 10 years had a stronger correlation between D + and D- measurements than younger patients. CONCLUSIONS: A total of 94.1% of BIA parameters exhibited excellent correlations between D + and D- measurements, especially patients older than 10 years. We recommend that BIA measurements be collected from children regardless of the presence of peritoneal dialysate.

Quality of life in children at different stages of chronic kidney disease in a developing country.

BACKGROUND: Children with chronic kidney disease (CKD) require comprehensive assessments, including medical and quality of life (QoL) evaluations. Few studies have been conducted in developing countries. METHODS: This cross-sectional study included 2-18-year-old patients who were categorized into 4 groups: the CKD stage 2-3, stage 4-5, stage 5 with dialysis (D), and kidney transplantation (KT) groups. QoL was measured using the Pediatric Quality of Life Inventory™ (PedsQL™) version 4.0; relationships between different factors and QoL were determined using multivariable linear regression analysis. RESULTS: Eighty-seven patients (mean age: 13.3 (4.1) years) were included. The self-reported total scores were 77.5 (12.5), 78.9 (11.2), 77.4 (16.2), and 76.1 (10.9) in the stage 2-3, stage 4-5, stage 5D and KT groups, respectively. Parent-reported scores showed a weak-to-moderate correlation with self-reported scores (r = 0.12-0.42), with total scores of 71.8 (12.7), 69.5 (14.9), 63.4 (14.8), and 70.8 (18.1) in the stage 2-3, 4-5, 5D and KT groups, respectively. Multivariable linear regression revealed that the parent-reported score in the stage 5D group was 15.92 points lower than that in the stage 2-3 group (p = 0.02); the score in the low maternal education group was 10.13 points lower than that in the high maternal education group (p = 0.04). CONCLUSIONS: Parent-reported scores showed weak-to-moderate correlation with self-reported scores. Patients with CKD stage 5D and patients with low maternal education had lower QoL. Regular QoL assessment is recommended for patients with advanced CKD and those with socioeconomic vulnerabilities.