Journal of tropical pediatrics
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Early detection of malnutrition in hospitalized children helps reduce length of hospital stay and morbidity. A validated nutrition tool is essential to correctly identify children at risk of malnutrition or who are already malnourished. This study compared the use of the Subjective Global Nutrition Assessment (SGNA, nutrition assessment tool) and Screening Tool for the Assessment of Malnutrition in Paediatrics (STAMP, nutrition screening tool) with objective nutritional parameters to identify malnutrition in hospitalized children. ⋯ SGNA is a valid nutrition assessment tool in diagnosing malnutrition status among hospitalized children in Malaysia. The discrepancy in specificity values between the two methods explains the distinguished roles between SGNA and STAMP. The use of STAMP will have to be followed up with a more valid tool such as SGNA to verify the actual nutrition status of the paediatric population.
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We assessed the accuracy of the Nelson, Best Guess and Advanced Pediatric Life Support (APLS) formulae in estimating weight in a suburban Cameroonian pediatric population, by conducting a cross-sectional study using 544 children aged 1 month to 12 years. Agreement between measured and estimated weight was poor for Nelson [concordance correlation coefficient (CCC) 0.89 (95% confidence interval (CI) 0.87-0.90)] and Best Guess [CCC 0.88 (95% CI 0.86-0.90)] formulae, and moderate for the APLS formula [CCC 0.92 (95% CI 0.90-0.93)]. On Bland-Altman analysis, all three methods had limits of agreement (APLS -42.2 to -45.6%, Best Guess -42.7 to -55.1%, Nelson -36.4 to -42.4%) above the -10 to -10% set as criteria for clinical agreement. Conclusively, the accuracy of all three formulae was clinically unacceptable in our study population, suggesting the need for studies aimed at deriving more accurate formulae adapted for use in our context.