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Analysis of ESPEN and GLIM algorithms reveals specific drivers for the diagnosis of malnutrition in patients with chronic gastrointestinal diseases

Authors :
Karen Bannert
Lea Franziska Sautter
Mats Lukas Wiese
Fatuma Meyer
Luise Ehlers
Sophie Fromhold-Treu
Cathleen Karbe
Simone Gärtner
Markus M. Lerch
Ali A. Aghdassi
Robert Jaster
Luzia Valentini
Georg Lamprecht
Source :
Nutrition. 106:111887
Publication Year :
2023
Publisher :
Elsevier BV, 2023.

Abstract

Disease-related malnutrition (MN) is common in patients with liver cirrhosis (LC), short bowel syndrome (SBS), and chronic pancreatitis (CP). Different MN risk screening tools and diagnostic criteria of the European Society for Clinical Nutrition and Metabolism (ESPEN) and Global Leadership Initiative on Malnutrition (GLIM) algorithms were analyzed for their diagnostic accuracy and role as specific drivers to diagnose MN in patients with LC, SBS, and CP.A total of 187 patients with LC, SBS, and CP, as well as control patients were prospectively recruited in a multicenter cross-sectional study. MN risk was screened using Nutritional Risk Screening 2002 (NRS-2002), the Malnutrition Universal Screening Tool (MUST), and the Royal Free Hospital Nutritional Prioritizing Tool (RFH-NPT), and diagnosed using the ESPEN, GLIM, and GLIMNRS-2002 was only sensitive in conjunction with ESPEN, while MUST was sensitive additionally with the GLIM algorithm. RFH-NPT worked the best for LC. GLIM and GLIMRFH-NPT and MUST performed better in conjunction with the GLIM algorithm than NRS-2002. MN was diagnosed more frequently by GLIM than the ESPEN algorithm in LC, SBS, and CP. Individual criteria acted as specific drivers in MN in chronic gastrointestinal diseases.

Details

ISSN :
08999007
Volume :
106
Database :
OpenAIRE
Journal :
Nutrition
Accession number :
edsair.doi.dedup.....2102c759b1a06f39a6a05fd2bceae553