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J Hum Nutr Diet ; 31(3): 370-378, 2018 06.
Article in English | MEDLINE | ID: mdl-28948659

ABSTRACT

BACKGROUND: We assessed the nutritional risks among children hospitalised with acute burn injuries and their associated clinical outcomes using three nutritional risk screening (NRS) tools: Screening Tool for Risk of Impaired Nutritional Status and Growth (STRONGKIDS ), Pediatric Yorkhill Malnutrition Score (PYMS) and Screening Tool for the Assessment for Malnutrition in Pediatrics (STAMP). METHODS: This prospective cross-sectional study was conducted from October 2015 to November 2016, in a regional burn centre. Patients were screened by two independent observers, using the three NRS tools. RESULTS: A total of 100 children aged 3 months to 16.5 years were included. STRONGKIDS identified 16% of patients as having high risk, with being identified 45% by PYMS and 44% by STAMP. After adjustment for confounding factors in multivariate regression analysis, patients in the high-risk group had significantly longer median (SD) lengths of stay [medium versus high risk: STRONGKIDS , 9.5 (6.6) versus 15.0 (24.2) days; PYMS, 8.5 (4.4) versus 13.0 (16.1) days; STAMP, 9.0 (5.7) versus 11.0 (17.4) days] and greater median (SD) weight loss [medium versus high risk: STRONGKIDS, 0.15 (0.8) versus -0.35 (0.8) kg; STAMP, 0.5 (0.7) versus 0 (0.1) kg] than patients in the medium-risk group (P < 0.05). The strengths of agreement in the nutritional risk classification between the two observers were good (κ for STRONGKIDS = 0.61; PYMS = 0.79; STAMP = 0.75) (P < 0.01). CONCLUSIONS: The STRONGKIDS , PYMS and STAMP tools could be useful and practical for determining which hospitalised children with acute burn injuries will need additional nutritional intervention.


Subject(s)
Burns/complications , Hospitalization/statistics & numerical data , Malnutrition/diagnosis , Mass Screening/statistics & numerical data , Nutrition Assessment , Acute Disease , Adolescent , Child , Child, Hospitalized/statistics & numerical data , Child, Preschool , Cross-Sectional Studies , Female , Humans , Infant , Male , Malnutrition/etiology , Mass Screening/methods , Nutritional Status , Prospective Studies , Risk Factors
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