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(Article 31 | POJ_0025.html) Issue January 2017 - June 2017)

Winning Oral/Poster Presentation

PhilSPEN 2014 Convention

Submitted: October 8, 2014 | Posted: October 10, 2014

First Prize: Pediatric nutritional screening tool to identify malnutrition and at risk for malnutrition among admitted patients aged one to five years old

Title: Pediatric nutritional screening tool to identify malnutrition and at risk for malnutrition among admitted patients aged one to five years old

Authors: Jennifer A. Olay MD, Rebecca Abiog-Castro MD

Institution where study was conducted: Philippine Children’s Medical Center, Quezon City, Philippines

Background: Malnutrition among hospitalized children is a very important health issue that is associated with increased morbidity and mortality, length of hospital stay, health care cost and delayed functional recovery. However, routine screening of nutritional status has been hindered by lack of an accurate, simple and valid nutritional screening tool.

Objective(s): To develop a pediatric nutritional screening tool that will identify hospitalized patients who are malnourished and at risk of malnutrition and to establish cut off point and accuracy of risk scores using the Pediatric Nutritional Screening Tool.

Methodology: The Pediatric Nutritional Screening Tool was assessed prospectively among 246 patients aged 1-5 years old admitted at Philippine Children’s Medical Center. Anthropometric measurements, Body weight change, Clinical conditions and Dietary intake were evaluated within 24-48hours of admission. Statistical analyses done to measure accuracy were sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio, prevalence and post test probability of each score. Cut-off point score was determined by using receiver operating characteristic curve.

Results: Multivariate analysis indicated that all the parameters used in the Pediatric Nutritional Screening Tool: Anthropometric, Body weight loss, Clinical condition and Dietary intake (p = 0.000001 for all factors) were all associated in identifying malnutrition and at risk for malnutrition. Cut-off point score of 6 was found out to indicate high risk of malnutrition.

Conclusion: The Pediatric Nutritional Screening Tool accurately identifies pediatric patients who are malnourished and at risk for malnutrition. This screening tool can be used as part of routine admission procedure to help in early identification and initiate appropriate nutritional intervention and help decrease and prevent morbidity associated with nutritional depletion.