Which screening tool performs best in identifying malnutrition risk among hospitalized older adults with cardiovascular disease? A diagnostic accuracy study comparing six different screening tools with GLIM criteria.
{"title":"Which screening tool performs best in identifying malnutrition risk among hospitalized older adults with cardiovascular disease? A diagnostic accuracy study comparing six different screening tools with GLIM criteria.","authors":"Kevser Tarı Selcuk, Sedat Arslan, Ayça Aydın, Duygu Durmaz","doi":"10.1007/s41999-025-01187-y","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to compare the performance of six different screening tools with the GLIM criteria in identifying malnutrition risk among older adults with cardiovascular diseases.</p><p><strong>Methods: </strong>In this diagnostic accuracy study, data from 669 patients aged 65 and older, hospitalized at Bandırma Training and Research Hospital diagnosed with cardiovascular disease, were evaluated. The data were obtained using a questionnaire that included a Demographic Information Form, Global Leadership Initiative on Malnutrition (GLIM) Criteria, Malnutrition Screening Tool (MST), Malnutrition Universal Screening Tool (MUST), Short Nutritional Assessment Questionnaire (SNAQ), Mini Nutritional Assessment-Short Form (MNA-SF), Nutritional Risk Screening-2002 (NRS-2002), and Graz Malnutrition Screening (GMS) tool. GLIM criteria were used as gold standard and six screening tools were used as index tests. Receiver Operating Characteristic (ROC) curve analysis was conducted to calculate the Area Under the Curve (AUC), and the sensitivity, specificity, accuracy, and Cohen's Kappa (κ) coefficient of the index tests were assessed.</p><p><strong>Results: </strong>The mean age of the patients was 75.5 ± 7.7 years, 55.2% were female. According to the GLIM criteria, the prevalence of malnutrition was calculated as 22.0%. The AUC calculated by ROC indicated that MST (AUC: 0.905) had excellent predictive value, while MUST (AUC: 0.874), SNAQ (AUC: 0.851), MNA-SF (AUC: 0.842), and GMS (AUC: 0.820) demonstrated good predictive value. Among the screening tools, GMS had the highest sensitivity (92.5%), whereas MNA-SF exhibited the highest specificity (91.6%). MNA-SF also demonstrated the highest agreement with the GLIM criteria (Cohen's κ: 66.8) and the highest accuracy (88.3%).</p><p><strong>Conclusion: </strong>This study found that the MNA-SF tool outperformed other comprehensive screening tools when evaluating malnutrition risk in light of the GLIM criteria.</p>","PeriodicalId":49287,"journal":{"name":"European Geriatric Medicine","volume":" ","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Geriatric Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s41999-025-01187-y","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: This study aimed to compare the performance of six different screening tools with the GLIM criteria in identifying malnutrition risk among older adults with cardiovascular diseases.
Methods: In this diagnostic accuracy study, data from 669 patients aged 65 and older, hospitalized at Bandırma Training and Research Hospital diagnosed with cardiovascular disease, were evaluated. The data were obtained using a questionnaire that included a Demographic Information Form, Global Leadership Initiative on Malnutrition (GLIM) Criteria, Malnutrition Screening Tool (MST), Malnutrition Universal Screening Tool (MUST), Short Nutritional Assessment Questionnaire (SNAQ), Mini Nutritional Assessment-Short Form (MNA-SF), Nutritional Risk Screening-2002 (NRS-2002), and Graz Malnutrition Screening (GMS) tool. GLIM criteria were used as gold standard and six screening tools were used as index tests. Receiver Operating Characteristic (ROC) curve analysis was conducted to calculate the Area Under the Curve (AUC), and the sensitivity, specificity, accuracy, and Cohen's Kappa (κ) coefficient of the index tests were assessed.
Results: The mean age of the patients was 75.5 ± 7.7 years, 55.2% were female. According to the GLIM criteria, the prevalence of malnutrition was calculated as 22.0%. The AUC calculated by ROC indicated that MST (AUC: 0.905) had excellent predictive value, while MUST (AUC: 0.874), SNAQ (AUC: 0.851), MNA-SF (AUC: 0.842), and GMS (AUC: 0.820) demonstrated good predictive value. Among the screening tools, GMS had the highest sensitivity (92.5%), whereas MNA-SF exhibited the highest specificity (91.6%). MNA-SF also demonstrated the highest agreement with the GLIM criteria (Cohen's κ: 66.8) and the highest accuracy (88.3%).
Conclusion: This study found that the MNA-SF tool outperformed other comprehensive screening tools when evaluating malnutrition risk in light of the GLIM criteria.
期刊介绍：
European Geriatric Medicine is the official journal of the European Geriatric Medicine Society (EUGMS). Launched in 2010, this journal aims to publish the highest quality material, both scientific and clinical, on all aspects of Geriatric Medicine.
The EUGMS is interested in the promotion of Geriatric Medicine in any setting (acute or subacute care, rehabilitation, nursing homes, primary care, fall clinics, ambulatory assessment, dementia clinics..), and also in functionality in old age, comprehensive geriatric assessment, geriatric syndromes, geriatric education, old age psychiatry, models of geriatric care in health services, and quality assurance.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
