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.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11655236 | PMC |
http://dx.doi.org/10.3389/fnut.2024.1438158 | DOI Listing |
Front Nutr
December 2024
Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Int J Gen Med
December 2024
Department of Gastroenterology, Jining No. 1 People's Hospital, Jining, Shandong Province, 272000, People's Republic of China.
Nutrients
November 2024
Clinical Nutrition and Dietetics Unit, Department of Endocrinology and Nutrition, Hospital Universitario La Paz, Paseo de la Castellana, No. 261, 28046 Madrid, Spain.
Objectives: This study aimed to assess the prevalence and risk factors associated with disease-related malnutrition (DRM) in hospitalized patients using the Subjective Global Assessment (SGA) and Global Leadership Initiative on Malnutrition (GLIM) criteria. Additionally, we sought to identify key determinants of moderate and severe malnutrition.
Methods: A retrospective analysis was conducted on 1036 adult patients hospitalized in a tertiary care hospital between August 2019 and November 2020.
Nutrients
November 2024
Gastroenterology Unit, Rho Hospital, ASST Rhodense, 20017 Rho, Italy.
Introduction: The prevalences of malnutrition and sarcopenia in patients with IBD are not precisely known, and nutritional assessment is not standardized. We assessed the prevalence and risk factors of these conditions in outpatients and their impact on clinical outcomes.
Methods: This prospective longitudinal study considered patients who had IBD for at least one year, were attending a tertiary IBD center, and were followed for the subsequent year.
PeerJ
December 2024
Department of Pharmacy, Anning First People's Hospital Affiliated to Kunming University of Science and Technology, Kunming, Yunnan, China.
Background: Nutritional status is a critical indicator of overall health in individuals suffering from malignant tumours, reflecting the complex interplay of various contributing factors. This research focused on identifying and analysing the factors influencing malnutrition among older patients aged ≥65 with malignant tumours and aimed to develop a comprehensive risk model for predicting malnutrition.
Methods: This study conducted a retrospective analysis of clinical data from 3,387 older inpatients aged ≥65 years with malignant tumours collected at our hospital from July 1, 2021, to December 31, 2023.
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