Composición corporal y concentraciones de adipocitoquinas en hemodiálisis: la ganancia de grasa abdominal como factor de riesgo cardiovascular añadido

Equations for Prediction of Body Adiposity in Patients With Chronic Kidney Disease Undergoing Hemodialysis

OBJECTIVES

The prevalence of obesity in the population has increased and excess body adiposity is one of the main nutritional disorders in patients with chronic kidney disease (CKD) on hemodialysis (HD). The objective of this study was to develop equations using anthropometric measurements to predict the total and abdominal body adiposity of patients with CKD on HD.

METHODS

This is a cross-sectional study evaluating 323 patients with CKD on HD in city in northeastern Brazil. Measurements and anthropometric indicators were correlated with percentage of body fat (%BF) and visceral fat (VF, in kg) measured by dual energy X-ray absorptiometry. Multiple linear regression models based on different combinations of anthropometric measurements were adjusted to develop the equations, with subsequent cross-validation.

RESULTS

Of the 323 patients, 62.2% were male and 46.5% were aged between 40 and 59 years. The equation selected to estimate %BF included weight, height, waist and hip circumferences, and triceps and suprailiac skin folds, presenting high predictive capacity (R2 = 0.771). The equation selected to estimate VF included weight, height, waist circumference, hip circumference, and sum of skin folds (R22 = 0.796).

CONCLUSIONS

The proposed equations efficiently predicted the %BF and VF (kg) of patients with CKD on HD, thereby serving as viable indicators in clinical practice.

Severity of protein-energy wasting and obesity are independently related with poor quality of life in peritoneal dialysis patients

Protein-energy wasting (PEW) and poor health-related quality of life (HRQoL) are independently associated with morbi-mortality in continuous ambulatory peritoneal dialysis (CAPD). PEW may reduce HRQoL; however, we hypothesized HRQoL is affected differentially by PEW degrees or by individual criteria of nutritional status. AIM: To evaluate HRQoL according to PEW severity and nutritional status indicators in CAPD. This is a cross-sectional study in 151 patients. Subjective global assessment (SGA) was employed, and nutritional status classified as normal, mild-moderate PEW, and severe PEW. HRQoL was evaluated using Kidney Disease Quality of Life Short Form™, including physical (PCS), mental (MCS) and kidney disease (KDCS) components, and their subscales. Dietary intake, anthropometric and biochemical variables were measured. Forty-six percent of patients were well-nourished, 44% had mild-moderate PEW, and 10% severe PEW. Compared with well-nourished patients, those with mild-moderate (p=0.06) and severe (p=0.005) PEW had lower HRQoL score [68 (52-75), 55 (45-72), 46 (43-58), respectively]. PCS, MCS, and KDCS and their subscales had lower values as PEW was more severe. Patients with obesity and hypoalbuminemia had significantly lower HRQoL overall and component scores than their counterparts. Dietary intake was not associated with quality of life. In multivariate analysis obesity, PEW (by SGA), hypoalbuminemia, and low educational level predicted poor HRQoL (χ² 58.2, p<0.0001). As conclusion, PEW severity was related with worse HRQoL, either as overall score or in every component or subscale in CAPD patients. Poor HRQoL was predicted independently by PEW severity and obesity; additional predictors were hypoalbuminemia and low education.

Severity of protein-energy wasting and obesity are independently related with poor quality of life in peritoneal dialysis patients

Protein-energy wasting (PEW) and poor health-related quality of life (HRQoL) are independently associated with morbi-mortality in continuous ambulatory peritoneal dialysis (CAPD). PEW may reduce HRQoL; however, we hypothesized HRQoL is affected differentially by PEW degrees or by individual criteria of nutritional status. AIM: To evaluate HRQoL according to PEW severity and nutritional status indicators in CAPD. This is a cross-sectional study in 151 patients. Subjective global assessment (SGA) was employed, and nutritional status classified as normal, mild-moderate PEW, and severe PEW. HRQoL was evaluated using Kidney Disease Quality of Life Short Form™, including physical (PCS), mental (MCS) and kidney disease (KDCS) components, and their subscales. Dietary intake, anthropometric and biochemical variables were measured. Forty-six percent of patients were well-nourished, 44% had mild-moderate PEW, and 10% severe PEW. Compared with well-nourished patients, those with mild-moderate (p=0.06) and severe (p=0.005) PEW had lower HRQoL score [68 (52-75), 55 (45-72), 46 (43-58), respectively]. PCS, MCS, and KDCS and their subscales had lower values as PEW was more severe. Patients with obesity and hypoalbuminemia had significantly lower HRQoL overall and component scores than their counterparts. Dietary intake was not associated with quality of life. In multivariate analysis obesity, PEW (by SGA), hypoalbuminemia, and low educational level predicted poor HRQoL (χ2 58.2, p<0.0001). As conclusion, PEW severity was related with worse HRQoL, either as overall score or in every component or subscale in CAPD patients. Poor HRQoL was predicted independently by PEW severity and obesity; additional predictors were hypoalbuminemia and low education.

[Android/gynecoid ratio as a prognostic factor for dyslipidemia in pediatric patients with chronic kidney disease]

Introduction

Background: there are multiple factors that increase the presence of dyslipidemia in chronic kidney disease (CKD). Objective: to determine if the android/gynecoid ratio (A/GR) has utility as a cardiometabolic factor for dyslipidemia in pediatric patients with chronic renal failure. Materials and methods: cohort study. Patients with terminal CKD in peritoneal dialysis and hemodialysis were included. Determinations of body composition, body mass index (BMI), and lipid profile were assessed for each patient. Subsequently, somatometry and lipid profile were performed at 6 and 12 months of follow-up. Statistical analysis: to identify the difference between the initial somatic and biochemical variables, and at 6 and 12 months, the Friedman test was applied. The Spearman coefficient determined the correlation of bodily and biochemical variables. Results: twenty-one patients were analyzed. Tryglycerides (TGL) serum at 12 months of follow-up increased significantly (6 vs 12 months, p = 0.05), without evidence of an increase in the Z score of the BMI (p = 0.98) or total cholesterol (p = 0.49). Body fat, fat percentage and Z score BMI did not correlate with changes in cholesterol and triglyceride levels at 6 and 12 months; however, the A/GI presented a statistically significant association with the change in serum concentrations of TGL at 6 (r = 0.65, p = 0.003) and 12 months of follow-up (r = 0.54, p = 0.02). Conclusions: the A/GI showed an association with the increase in the serum concentration of TGL at 12 months of follow-up.