Nutritional risk screening (NRS) is not yet established in many clinical settings. This study aimed to evaluate the efficacy of two NRS tools; the Paediatric Yorkhill Malnutrition Score (PYMS) and the Screening Tool for the Assessment of Malnutrition in Paediatrics (STAMP), compared to the global dietitians' clinical judgment. The goal of this study was also to estimate the prevalence of nutritional risk in Greek paediatric patients. Overall, 1506 children, 1-16 years, from paediatric and surgical wards of two Greek hospitals were included. NRS was performed using PYMS and STAMP based either on World Health Organization (WHOGC) or Hellenic growth charts (HGC). The first 907 children were also referred to dietitians who categorized children in low, medium and high nutritional risk according to their global clinical judgment. PYMS, either based on WHOGC or HGC, showed better agreement with dietitians' feedback (kPYMS_WHO = 0.47; 95%CI: 0.41-0.52, kPYMS_HGC = 0.48; 95%CI: 0.43-0.53) compared to STAMP (kSTAMP_WHO = 0.28; 95%CI: 0.23-0.33, kSTAMP_HGC = 0.26; 95%CI: 0.21-0.32). PYMS also showed the best diagnostic accuracy compared to STAMP in paediatrics and surgical wards separately. Moreover, the PYMS showed similar sensitivity to the STAMP (WHOGC: 82% vs. 84.4%), but a higher positive predictive value (WHOGC: 58.2 vs. 38.7). Using PYMS, high and medium malnutrition risk was observed at 14.9%, and 13.1% of children, respectively. Almost 28% of hospitalised children were at nutritional risk. Children in hospitals should be screened with effective and feasible NRS tools such as PYMS.
Malnutrition/epidemiology , Mass Screening/methods , Nutrition Assessment , Child , Child, Preschool , Cross-Sectional Studies , Feasibility Studies , Female , Follow-Up Studies , Greece/epidemiology , Hospitalization , Humans , Male , Malnutrition/diagnosis , Malnutrition/physiopathology , Nutritional Status/physiology , Prevalence , Prospective Studies , Risk Assessment/methods , Risk Factors
BACKGROUND & AIMS: Unrecognized nutritional issues may delay recovery in hospitalized infants. It has been proposed that nutritional risk screening should be performed at hospital admission, but few tools include infants. The aim of this study was to develop and test a tool to identify sick infants in need of dietetic input. METHODS: Hospitalised infants were recruited from hospitals in the United Kingdom (UK), Greece and Iran. Weight, skinfold thickness and mid upper arm circumference (MUAC) were measured, with detailed dietetic assessment in the UK and Greece. Simple screening questions were used in the UK cohort to formulate a score (infant early nutrition warning score-iNEWS) which was then validated in the Greek and Iranian groups. RESULTS: After dietetic assessment, 20 (9.6%) UK and 22 (22%) Greek infants were rated as needing dietetic input. Underweight, poor weight gain/loss and reduced intake were all independent predictors of perceived need for dietetic input in stepwise multivariate regression analysis. The score based on these items (iNEWS), had 84% sensitivity, 91% specificity and 49% positive predictive value to predict need for dietetic input in the UK cohort. In the Greek cohort this was 86%, 78% and 53% respectively. In all three countries, infants with high iNEWS had significantly lower average skinfold thickness (between -1 and -1.8 SD, p < 0.0001) and MUAC (between -1.8 and -2 SD, p < 0.0001) than those at low risk. CONCLUSIONS: iNEWS, a simple nutritional risk tool, identifies most hospitalised infants who need dietetic input. CLINICAL TRIAL REGISTRATION: https://clinicaltrials.gov/ct2/show/NCT03323957.
Infant Nutrition Disorders/diagnosis , Nutrition Assessment , Nutritional Status/physiology , Female , Hospitalization , Humans , Infant , Infant Nutritional Physiological Phenomena/physiology , Male , Risk Assessment , Sensitivity and Specificity
