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Global Leadership Initiative on Malnutrition (GLIM): Guidance on Validation of the Operational Criteria for the Diagnosis of Protein‐Energy Malnutrition in Adults
Author(s) -
Keller Heather,
van der Schueren Marian A. E.,
Jensen Gordon L.,
Barazzoni Rocco,
Compher Charlene,
Correia M. Isabel T. D.,
Gonzalez M. Cristina,
JagerWittenaar Harriët,
Pirlich Matthias,
Steiber Alison,
Waitzberg Dan,
Cederholm Tommy
Publication year - 2020
Publication title -
journal of parenteral and enteral nutrition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.935
H-Index - 98
eISSN - 1941-2444
pISSN - 0148-6071
DOI - 10.1002/jpen.1806
Subject(s) - malnutrition , context (archaeology) , reliability (semiconductor) , construct (python library) , identification (biology) , medicine , computer science , geography , pathology , power (physics) , physics , botany , archaeology , quantum mechanics , biology , programming language
Abstract Background The Global Leadership Initiative on Malnutrition (GLIM) created a consensus‐based framework consisting of phenotypic and etiologic criteria to record the occurrence of malnutrition in adults. This is a minimum set of practicable indicators for use in characterizing a patient/client as malnourished, considering the global variations in screening and nutrition assessment, and to be used across different healthcare settings. As with other consensus‐based frameworks for diagnosing disease states, these operational criteria require validation and reliability testing, as they are currently based solely on expert opinion. Methods Several forms of validation and reliability are reviewed in the context of GLIM, providing guidance on how to conduct retrospective and prospective studies for criterion and construct validity. Results There are some aspects of GLIM that require refinement; research using large databases can be employed to reach this goal. Machine learning is also introduced as a potential method to support identification of the best cut points and combinations of indicators for use with the different forms of malnutrition, which the GLIM criteria were created to denote. It is noted as well that validation and reliability testing need to occur in a variety of sectors and populations and with diverse persons using GLIM criteria. Conclusion The guidance presented supports the conduct and publication of quality validation and reliability studies for GLIM.