Application of a Score System to Evaluate the Risk of Malnutrition in a Multiple Hospital Setting

Overview

Journal Ital J Pediatr

Publisher Biomed Central

Specialty Pediatrics

Date 2013 Dec 31

PMID 24373709

Citations 12

Authors

Maria Immacolata Spagnuolo

Ilaria Liguoro

Fabrizia Chiatto

Daniela Mambretti

Alfredo Guarino

Affiliations

Soon will be listed here.

Abstract

Background: An increased but unpredictable risk of malnutrition is associated with hospitalization, especially in children with chronic diseases. We investigated the applicability of Screening Tool for Risk of Impaired Nutritional Status and Growth (STRONGkids), an instrument proposed to estimate the risk of malnutrition in hospitalized children. We also evaluated the role of age and co-morbidities as risk for malnutrition.

Methods: The STRONGkids consists of 4 items providing a score that classifies a patient in low, moderate, high risk for malnutrition. A prospective observational multi-centre study was performed in 12 Italian hospitals. Children 1-18 years consecutively admitted and otherwise unselected were enrolled. Their STRONGkids score was obtained and compared with the actual nutritional status expressed as BMI and Height for Age SD-score.

Results: Of 144 children (75 males, mean age 6.5 ± 4.5 years), 52 (36%) had an underlying chronic disease. According to STRONGkids, 46 (32%) children were at low risk, 76 (53%) at moderate risk and 22 (15%) at high risk for malnutrition. The latter had significantly lower Height for Age values (mean SD value -1.07 ± 2.08; p = 0.008) and BMI values (mean SD-values -0.79 ± 2.09; p = 0.0021) in comparison to other groups. However, only 29 children were actually malnourished.

Conclusions: The STRONGkids is easy to administer. It is highly sensitive but not specific. It may be used as a very preliminary screening tool to be integrated with other clinical data in order to reliably predict the risk of malnutrition.

Citing Articles

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Evaluation of the risk of malnutrition in hospitalized children by PYMS, STAMP, and STRONGkids tools and comparison with their anthropometric indices: a cross-sectional study.

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