Literature DB >> 11330562

Prevalence of malnutrition assessed by bioimpedance analysis and anthropometry in children on peritoneal dialysis.

A Edefonti1, M Picca, B Damiani, R Garavaglia, S Loi, G Ardissino, G Marra, L Ghio.   

Abstract

OBJECTIVE: To evaluate the sensitivity of anthropometry and bioelectrical impedance analysis (BIA) in detecting alterations in body composition of children treated with peritoneal dialysis (PD), and to determine the prevalence of malnutrition in this population, in short- and long-term PD duration, using anthropometric and BIA-derived indices. PATIENTS: Eighteen children treated with automated PD (11 males, 7 females; mean age 8.7 +/- 4.7 years).
DESIGN: Eighteen patients were studied using anthropometry and BIA at the start (t0) and after 6 months (t1) of PD, 15 of these patients at 12 months (t2), and 8 at 24 months (t3) of PD. Midarm muscle circumference (MAMC), arm muscle area (AMA), and arm fat area (AFA) were calculated from anthropometric measures according to Frisancho (FrisanchoAR. New norms of upper limb fat and muscle areas for assessment of nutritional status. Am J Clin Nutr 1981; 34:2540-5.). The bioelectrical measures of resistance (R) and reactance (Xc) were obtained directly from the impedance signal; phase angle (PA) and distance (D) were calculated using mathematical formulas. Nutritional status was assessed by anthropometric measurements and BIA-derived indices, expressed as standard deviation scores (SDS), and by a score system based on BIA and anthropometric parameters. The percentage of children with values of anthropometric and BIA-derived indices below the 3rd percentile or between the 3rd and 25th percentiles, and the percentage of children with scores of 7-12 and 4-6 were calculated in order to detect patients with severe or moderate derangement of nutritional status.
RESULTS: The mean SDS values of Xc, PA, and D significantly improved (p = 0.05, p = 0.001, p = 0.02) during the first 6 months of PD and remained almost stable during the following months. The SDS values of the anthropometric indices were less compromised than those of the BIA-derived indices, particularly at the start of dialysis. By 6 months, the percentages of children with values of BIA and anthropometric indices below the 3rd percentile had decreased. The percentages of patients with moderate and severe derangement of BIA and anthropometric indices remained substantially unchanged after 12 months. However, at 24 months, the percentage of patients with moderate derangement of BIA indices increased. All these findings were confirmed by the nutritional score system.
CONCLUSION: BIA is more sensitive than anthropometry in detecting alterations in body composition of children on PD. The prevalence of malnutrition, high at the commencement of PD, decreases during the first year of treatment but not over the long term.

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Year:  2001        PMID: 11330562

Source DB:  PubMed          Journal:  Perit Dial Int        ISSN: 0896-8608            Impact factor:   1.756


  6 in total

Review 1.  Assessment of nutritional status in children with chronic kidney disease and on dialysis.

Authors:  Antonio Mastrangelo; Fabio Paglialonga; Alberto Edefonti
Journal:  Pediatr Nephrol       Date:  2013-09-05       Impact factor: 3.714

2.  Nutrition assessment of children with advanced stages of chronic kidney disease-A single center study.

Authors:  A Apostolou; N Printza; T Karagiozoglou-Lampoudi; J Dotis; F Papachristou
Journal:  Hippokratia       Date:  2014 Jul-Sep       Impact factor: 0.471

3.  Nutrition assessment and management in children on peritoneal dialysis.

Authors:  Fabio Paglialonga; Alberto Edefonti
Journal:  Pediatr Nephrol       Date:  2008-02-06       Impact factor: 3.714

4.  Nutritional status and volume control in adolescents on chronic hemodialysis.

Authors:  Fabio Paglialonga; Silvia Consolo; Marta Brambilla; Olga Caporale; Alejandro Cruz Gual; Maria Rosa Grassi; Giovanni Montini
Journal:  Pediatr Nephrol       Date:  2021-05-14       Impact factor: 3.714

Review 5.  Nutrition in children with CRF and on dialysis.

Authors:  Lesley Rees; Vanessa Shaw
Journal:  Pediatr Nephrol       Date:  2007-01-10       Impact factor: 3.714

Review 6.  Nutritional Status in Peritoneal Dialysis: Nutritional Guidelines, Adequacy and the Management of Malnutrition.

Authors:  Thomas Kiebalo; Jacqueline Holotka; Ireneusz Habura; Krzysztof Pawlaczyk
Journal:  Nutrients       Date:  2020-06-08       Impact factor: 5.717

  6 in total

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