Malnutrition risk in hospitalized children: use of 3 screening tools in a large European population1–3

Background: Several malnutrition screening tools have been advocated for use in pediatric inpatients. Objective: We evaluated how 3 popular pediatric nutrition screening tools [i.e., the Pediatric Yorkhill Malnutrition Score (PYMS), the Screening Tool for the Assessment of Malnutrition in Pediatrics...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The American journal of clinical nutrition 2016-05, Vol.103 (5), p.1301-1310
Hauptverfasser: Chourdakis, Michael, Hecht, Christina, Gerasimidis, Konstantinos, Joosten, Koen FM, Karagiozoglou-Lampoudi, Thomais, Koetse, Harma A, Ksiazyk, Janusz, Lazea, Cecilia, Shamir, Raanan, Szajewska, Hania, Koletzko, Berthold, Hulst, Jessie M
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Background: Several malnutrition screening tools have been advocated for use in pediatric inpatients. Objective: We evaluated how 3 popular pediatric nutrition screening tools [i.e., the Pediatric Yorkhill Malnutrition Score (PYMS), the Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP), and the Screening Tool for Risk of Impaired Nutritional Status and Growth (STRONGKIDS)] compared with and were related to anthropometric measures, body composition, and clinical variables in patients who were admitted to tertiary hospitals across Europe. Design: The 3 screening tools were applied in 2567 inpatients at 14 hospitals across 12 European countries. The classification of patients into different nutritional risk groups was compared between tools and related to anthropometric measures and clinical variables [e.g., length of hospital stay (LOS) and infection rates]. Results: A similar rate of completion of the screening tools for each tool was achieved (PYMS: 86%; STAMP: 84%; and STRONGKIDS: 81%). Risk classification differed markedly by tool, with an overall agreement of 41% between tools. Children categorized as high risk (PYMS: 25%; STAMP: 23%; and STRONGKIDS: 10%) had a longer LOS than that of children at low risk (1.4, 1.4, and 1.8 d longer, respectively; P < 0.001). In high-risk patients identified with the PYMS, 22% of them had low (
ISSN:0002-9165
1938-3207
DOI:10.3945/ajcn.115.110700