OBJECTIVE: The aim of the present study was to evaluate the predictive accuracy of screening tools for assessing nutritional risk in hospitalized children in developed countries. METHODS: The study involved a systematic review of literature (MEDLINE, EMBASE, and Cochrane Central databases up to January 17, 2014) of studies on the diagnostic performance of pediatric nutritional screening tools. Methodological quality was assessed using a modified QUADAS tool. Sensitivity and specificity were calculated for each screening tool per validation method. A meta-analysis was performed to estimate the risk ratio of different screening result categories of being truly at nutritional risk. RESULTS: A total of 11 studies were included on ≥1 of the following screening tools: Pediatric Nutritional Risk Score, Screening Tool for the Assessment of Malnutrition in Paediatrics, Paediatric Yorkhill Malnutrition Score, and Screening Tool for Risk on Nutritional Status and Growth. Because of variation in reference standards, a direct comparison of the predictive accuracy of the screening tools was not possible. A meta-analysis was performed on 1629 children from 7 different studies. The risk ratio of being truly at nutritional risk was 0.349 (95% confidence interval [CI] 0.16-0.78) for children in the low versus moderate screening category and 0.292 (95% CI 0.19-0.44) in the moderate versus high screening category. CONCLUSIONS: There is insufficient evidence to choose 1 nutritional screening tool over another based on their predictive accuracy. The estimated risk of being at "true nutritional risk" increases with each category of screening test result. Each screening category should be linked to a specific course of action, although further research is needed.
OBJECTIVE: The aim of the present study was to evaluate the predictive accuracy of screening tools for assessing nutritional risk in hospitalized children in developed countries. METHODS: The study involved a systematic review of literature (MEDLINE, EMBASE, and Cochrane Central databases up to January 17, 2014) of studies on the diagnostic performance of pediatric nutritional screening tools. Methodological quality was assessed using a modified QUADAS tool. Sensitivity and specificity were calculated for each screening tool per validation method. A meta-analysis was performed to estimate the risk ratio of different screening result categories of being truly at nutritional risk. RESULTS: A total of 11 studies were included on ≥1 of the following screening tools: Pediatric Nutritional Risk Score, Screening Tool for the Assessment of Malnutrition in Paediatrics, Paediatric Yorkhill Malnutrition Score, and Screening Tool for Risk on Nutritional Status and Growth. Because of variation in reference standards, a direct comparison of the predictive accuracy of the screening tools was not possible. A meta-analysis was performed on 1629 children from 7 different studies. The risk ratio of being truly at nutritional risk was 0.349 (95% confidence interval [CI] 0.16-0.78) for children in the low versus moderate screening category and 0.292 (95% CI 0.19-0.44) in the moderate versus high screening category. CONCLUSIONS: There is insufficient evidence to choose 1 nutritional screening tool over another based on their predictive accuracy. The estimated risk of being at "true nutritional risk" increases with each category of screening test result. Each screening category should be linked to a specific course of action, although further research is needed.
Authors: David Pérez-Solís; Elene Larrea-Tamayo; Cristina Menéndez-Arias; Cristina Molinos-Norniella; Sara Bueno-Pardo; Santiago Jiménez-Treviño; Carlos Bousoño-Garcia; Juan J Díaz-Martín Journal: Nutrients Date: 2020-04-26 Impact factor: 5.717
Authors: Carey Yun Shan Lim; Joel Kian Boon Lim; Rajesh Babu Moorakonda; Chengsi Ong; Yee Hui Mok; John Carson Allen; Judith Ju-Ming Wong; Teng Hong Tan; Jan Hau Lee Journal: Front Pediatr Date: 2019-10-23 Impact factor: 3.418
Authors: Laura E Carter; Grace Shoyele; Sarah Southon; Anna Farmer; Rabin Persad; Vera C Mazurak; M Kim BrunetWood Journal: Nutr Clin Pract Date: 2019-07-09 Impact factor: 3.080
Authors: Thaynara Cristina de Oliveira; Izabela Zibetti de Albuquerque; Maria Luiza Ferreira Stringhini; Andrea Sugai Mortoza; Bruna Alves de Morais Journal: Rev Paul Pediatr Date: 2017-07-31