Predictive Model for the Risk of Severe Acute Malnutrition in Children

Autor: Olivier Mukuku, Augustin Mulangu Mutombo, Lewis Kipili Kamona, Toni Kasole Lubala, Paul Makan Mawaw, Michel Ntetani Aloni, Stanislas Okitotsho Wembonyama, Oscar Numbi Luboya
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Journal of Nutrition and Metabolism, Vol 2019 (2019)
Druh dokumentu: article
ISSN: 2090-0724
2090-0732
DOI: 10.1155/2019/4740825
Popis: Background. The nutritional status is the best indicator of the well-being of the child. Inadequate feeding practices are the main factors that affect physical growth and mental development. The aim of this study was to develop a predictive score of severe acute malnutrition (SAM) in children under 5 years of age. Methods. It was a case-control study. The case group (n = 263) consisted of children aged 6 to 59 months admitted to hospital for SAM that was defined by a z-score weight/height 8 points presents a high risk of SAM. The area under ROC curve of this score was 0.9685, its sensitivity was 93.5%, and its specificity was 93.1%. Conclusion. We propose a simple and efficient prediction model for the risk of occurrence of SAM in children under 5 years of age in developing countries. This predictive model of SAM would be a useful and simple clinical tool to identify people at risk, limit high rates of malnutrition, and reduce disease and child mortality registered in developing countries.
Databáze: Directory of Open Access Journals
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje