Evidence map›Paper›PMID 39703335›Full record

ArticleFrontiers in nutrition2024

Validation of GLIM criteria for hospital malnutrition diagnosis by comparison of three different anthropometric approaches to evaluate reduced muscle mass: a prospective cohort study.

Mostafa Shahraki Jazinaki, Mohammad Safarian, Seyyed Mostafa Arabi, Jamshid Jamali, Abdolreza Norouzy

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Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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9citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mostafa Shahraki JazinakiStudent Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohammad SafarianDepartment of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Seyyed Mostafa ArabiNoncommunicable Diseases Research Center, Neyshabur University of Medical Sciences, Neyshabur, Iran.
Jamshid JamaliSocial Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Abdolreza NorouzyDepartment of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim: The Global Leadership Initiative on Malnutrition (GLIM) recently proposed a new malnutrition diagnostic tool known as the GLIM criteria. The GLIM criteria need confirmed validation before being widely used in each population or healthcare system. This study aimed to investigate the validation of the GLIM criteria for malnutrition diagnosis in hospitalized patients. Methods: The content validity was assessed by calculating the content validity ratio (CVR) and content validity index (CVI). Subjective global assessment (SGA) is considered the reference tool to diagnose malnutrition in concurrent validation. In addition, the Kuder-Richardson 20 was used to evaluate the reliability of the GLIM criteria. Furthermore, hospital mortality, length of hospitalization (LOS), prolonged hospital stays (LOS >6 days), 30-day hospital readmission, and 30- and 60-day mortality were identified as malnutrition-related outcomes in predictive validity. Results: A total of 332 adult/elderly hospitalized patients (median age: 58 (IQR: 24.7), 60.5% men) were enrolled to present the study. Appling GLIM criteria by considering the calf circumference < 31 cm in both genders or mid-upper arm (MUAC) < 23 cm in men and MUAC <22 cm in women as reduced muscle mass had an appropriate accuracy (84.6 and 83.4%, respectively), good ability to distinguish malnourished patients (AUC ROC: 0.85 and 0.83, respectively), satisfactory sensitivity (89.58 and 84.02%, respectively), and satisfactory specificity (81 and 83%, respectively) compared to the SGA tool. Furthermore, the reliability of the GLIM criteria for malnutrition diagnosis in hospitalized patients was acceptable in all 3 applied approaches (KR-20 > 0.5). The malnutrition diagnosed by GLIM criteria could significantly predict the odds of prolonged hospital stays, 30-day hospital readmission, and 60-day mortality, while it had no significant association with the risk of hospital mortality. Conclusion: The current study revealed that applying GLIM criteria had satisfactory validity in diagnosing hospital malnutrition in non-critically ill hospitalized patients.

Indexed as

clinical outcomesmalnutritionnutritional assessmentThe Global Leadership Initiative on Malnutritionvalidation

Identifiers

PMID39703335
PMCPMC11655236

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