Concordance between pediatric nutritional screening tools in individuals with nefrotic syndrome
DOI:
https://doi.org/10.15448/1980-6108.2019.4.33642Keywords:
Pediatrics, nephrotic syndrome, nutrition assessment.Abstract
AIMS: To evaluate the concordance between three validated nutritional screening tools for pediatrics among themselves and the correlation with the anthropometric parameters of patients hospitalized with nephrotic syndrome.
METHOD: Cross-sectional study with children and adolescents of both sexes hospitalized in the pediatric ward of a university hospital and diagnosed with nephrotic syndrome. Three nutritional screening instruments were applied: Screening of Risk for Nutritional Status and Growth (STRONGkids), Paediatric Yorkhill Malnutrition Score (PYMS) and Screening Tool for the Assessment of Malnutrition in Paediatrics (STAMP). Data on weight, height and upper arm perimeter was collected, and three nutritional screening tools were applied: The estimate of relative agreement between the instruments was evaluated with the weighted Kappa test and the correlations with anthropometric parameters were assessed with the Spearman’s Correlation Test.
RESULTS: We evaluated 11 patients, with a minimum age of 2 years and a maximum of 10 years. Screening tools detected prevalence of medium and high nutritional risk. Moderate agreement (k=0.47) was observed between PYMS and STAMP and there was no correlation between the screening tools’ result and the anthropometric data. Regarding the anthropometric parameters, 100% of the participants had adequate weight for age, 63.6% of the participants were diagnosed with normal weight by the BMI/Age index and 81.8% had adequate height for age according to the index Height/Age. After analysis of the upper arm perimeter, 27.3% were at risk of malnutrition.
CONCLUSIONS: Despite the fact that are no recommendations for use of pediatric nutritional screening tools specific to each clinical situation, two of the three screening tools analyzed in this study demonstrated moderate agreement between them. However, the tested tools did not reflect the anthropometric nutritional status of the evaluated population.
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