Two‐step GLIM approach using NRS‐2002 screening tool vs direct GLIM criteria application in hospital malnutrition diagnosis: A cross‐sectional study

Background The two‐step Global Leadership Initiative on Malnutrition (GLIM) approach was recently introduced to malnutrition diagnosis in a hospital setting. This study compares the diagnostic performance of this approach that uses the Nutritional Risk Screening‐2002 (NRS‐2002) as a screening tool a...

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Veröffentlicht in:Nutrition in clinical practice 2024-12, Vol.39 (6), p.1419-1430
Hauptverfasser: Jazinaki, Mostafa Shahraki, Norouzy, Abdolreza, Arabi, Seyyed Mostafa, Moghadam, Mohammad Reza Shadmand Foumani, Esfahani, Ali Jafarzadeh, Safarian, Mohammad
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container_end_page 1430
container_issue 6
container_start_page 1419
container_title Nutrition in clinical practice
container_volume 39
creator Jazinaki, Mostafa Shahraki
Norouzy, Abdolreza
Arabi, Seyyed Mostafa
Moghadam, Mohammad Reza Shadmand Foumani
Esfahani, Ali Jafarzadeh
Safarian, Mohammad
description Background The two‐step Global Leadership Initiative on Malnutrition (GLIM) approach was recently introduced to malnutrition diagnosis in a hospital setting. This study compares the diagnostic performance of this approach that uses the Nutritional Risk Screening‐2002 (NRS‐2002) as a screening tool and the direct application of GLIM malnutrition diagnostic criteria in hospitalized patients. Methods This cross‐sectional study involved 290 adult and older adult patients who were hospitalized. A trained nutritionist implemented the two‐step GLIM approach, including NRS‐2002 (in the first step) and GLIM criteria (in the second step) for each patient. Then, the accuracy, kappa index, area under the receiver operating characteristic curve (AUC ROC), sensitivity, and specificity of malnutrition diagnostic performance of the two‐step GLIM approach and NRS‐2002 were evaluated compared to the direct use of GLIM criteria. Results The NRS‐2002 identified 145 (50.0%) patients as at risk of malnutrition. The prevalence of malnutrition using the two‐step GLIM approach and GLIM malnutrition diagnosis criteria were 120 (41.4%) and 141 (48.6%), respectively. The kappa index showed substantial and almost perfect agreement for NRS‐2002 (κ = 68%) and the two‐step GLIM approach (κ = 85%) with GLIM malnutrition diagnostic criteria, respectively. Furthermore, the AUC ROC (0.926; 95% confidence interval (CI): 0.89–0.96) and accuracy (92.8%) of the two‐step GLIM approach compared to the GLIM criteria indicated an acepptable ability to distinguish between malnourished and well‐nourished patients. Conclusion The two‐step GLIM approach using NRS‐2002 as a screening tool (in step one) had acceptable malnutrition diagnostic performance compared to the direct application of GLIM criteria in hospitalized patients.
doi_str_mv 10.1002/ncp.11229
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This study compares the diagnostic performance of this approach that uses the Nutritional Risk Screening‐2002 (NRS‐2002) as a screening tool and the direct application of GLIM malnutrition diagnostic criteria in hospitalized patients. Methods This cross‐sectional study involved 290 adult and older adult patients who were hospitalized. A trained nutritionist implemented the two‐step GLIM approach, including NRS‐2002 (in the first step) and GLIM criteria (in the second step) for each patient. Then, the accuracy, kappa index, area under the receiver operating characteristic curve (AUC ROC), sensitivity, and specificity of malnutrition diagnostic performance of the two‐step GLIM approach and NRS‐2002 were evaluated compared to the direct use of GLIM criteria. Results The NRS‐2002 identified 145 (50.0%) patients as at risk of malnutrition. The prevalence of malnutrition using the two‐step GLIM approach and GLIM malnutrition diagnosis criteria were 120 (41.4%) and 141 (48.6%), respectively. The kappa index showed substantial and almost perfect agreement for NRS‐2002 (κ = 68%) and the two‐step GLIM approach (κ = 85%) with GLIM malnutrition diagnostic criteria, respectively. Furthermore, the AUC ROC (0.926; 95% confidence interval (CI): 0.89–0.96) and accuracy (92.8%) of the two‐step GLIM approach compared to the GLIM criteria indicated an acepptable ability to distinguish between malnourished and well‐nourished patients. Conclusion The two‐step GLIM approach using NRS‐2002 as a screening tool (in step one) had acceptable malnutrition diagnostic performance compared to the direct application of GLIM criteria in hospitalized patients.</description><identifier>ISSN: 0884-5336</identifier><identifier>ISSN: 1941-2452</identifier><identifier>EISSN: 1941-2452</identifier><identifier>DOI: 10.1002/ncp.11229</identifier><identifier>PMID: 39446911</identifier><language>eng</language><publisher>United States</publisher><subject>Adult ; adults ; Aged ; Aged, 80 and over ; confidence interval ; Cross-Sectional Studies ; Female ; Global Leadership Initiative on Malnutrition ; Hospitalization ; hospitals ; Humans ; leadership ; Male ; malnutrition ; Malnutrition - diagnosis ; Malnutrition - epidemiology ; Mass Screening - methods ; Mass Screening - standards ; Middle Aged ; nutrition ; Nutrition Assessment ; nutrition risk assessment ; nutritional assessment ; Nutritional Risk Screening 2002 ; Nutritional Status ; patients ; Prevalence ; risk ; ROC Curve ; Sensitivity and Specificity</subject><ispartof>Nutrition in clinical practice, 2024-12, Vol.39 (6), p.1419-1430</ispartof><rights>2024 American Society for Parenteral and Enteral Nutrition.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2489-ebf2a51d5ebd0c3be89e9983fc8d8552cebada491c6d2c377565d4498dd772e83</cites><orcidid>0009-0006-6526-8712 ; 0000-0001-7431-7869</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fncp.11229$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fncp.11229$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39446911$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jazinaki, Mostafa Shahraki</creatorcontrib><creatorcontrib>Norouzy, Abdolreza</creatorcontrib><creatorcontrib>Arabi, Seyyed Mostafa</creatorcontrib><creatorcontrib>Moghadam, Mohammad Reza Shadmand Foumani</creatorcontrib><creatorcontrib>Esfahani, Ali Jafarzadeh</creatorcontrib><creatorcontrib>Safarian, Mohammad</creatorcontrib><title>Two‐step GLIM approach using NRS‐2002 screening tool vs direct GLIM criteria application in hospital malnutrition diagnosis: A cross‐sectional study</title><title>Nutrition in clinical practice</title><addtitle>Nutr Clin Pract</addtitle><description>Background The two‐step Global Leadership Initiative on Malnutrition (GLIM) approach was recently introduced to malnutrition diagnosis in a hospital setting. This study compares the diagnostic performance of this approach that uses the Nutritional Risk Screening‐2002 (NRS‐2002) as a screening tool and the direct application of GLIM malnutrition diagnostic criteria in hospitalized patients. Methods This cross‐sectional study involved 290 adult and older adult patients who were hospitalized. A trained nutritionist implemented the two‐step GLIM approach, including NRS‐2002 (in the first step) and GLIM criteria (in the second step) for each patient. Then, the accuracy, kappa index, area under the receiver operating characteristic curve (AUC ROC), sensitivity, and specificity of malnutrition diagnostic performance of the two‐step GLIM approach and NRS‐2002 were evaluated compared to the direct use of GLIM criteria. Results The NRS‐2002 identified 145 (50.0%) patients as at risk of malnutrition. The prevalence of malnutrition using the two‐step GLIM approach and GLIM malnutrition diagnosis criteria were 120 (41.4%) and 141 (48.6%), respectively. The kappa index showed substantial and almost perfect agreement for NRS‐2002 (κ = 68%) and the two‐step GLIM approach (κ = 85%) with GLIM malnutrition diagnostic criteria, respectively. Furthermore, the AUC ROC (0.926; 95% confidence interval (CI): 0.89–0.96) and accuracy (92.8%) of the two‐step GLIM approach compared to the GLIM criteria indicated an acepptable ability to distinguish between malnourished and well‐nourished patients. 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Norouzy, Abdolreza ; Arabi, Seyyed Mostafa ; Moghadam, Mohammad Reza Shadmand Foumani ; Esfahani, Ali Jafarzadeh ; Safarian, Mohammad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2489-ebf2a51d5ebd0c3be89e9983fc8d8552cebada491c6d2c377565d4498dd772e83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>adults</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>confidence interval</topic><topic>Cross-Sectional Studies</topic><topic>Female</topic><topic>Global Leadership Initiative on Malnutrition</topic><topic>Hospitalization</topic><topic>hospitals</topic><topic>Humans</topic><topic>leadership</topic><topic>Male</topic><topic>malnutrition</topic><topic>Malnutrition - diagnosis</topic><topic>Malnutrition - epidemiology</topic><topic>Mass Screening - methods</topic><topic>Mass Screening - standards</topic><topic>Middle Aged</topic><topic>nutrition</topic><topic>Nutrition Assessment</topic><topic>nutrition risk assessment</topic><topic>nutritional assessment</topic><topic>Nutritional Risk Screening 2002</topic><topic>Nutritional Status</topic><topic>patients</topic><topic>Prevalence</topic><topic>risk</topic><topic>ROC Curve</topic><topic>Sensitivity and Specificity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jazinaki, Mostafa Shahraki</creatorcontrib><creatorcontrib>Norouzy, Abdolreza</creatorcontrib><creatorcontrib>Arabi, Seyyed Mostafa</creatorcontrib><creatorcontrib>Moghadam, Mohammad Reza Shadmand Foumani</creatorcontrib><creatorcontrib>Esfahani, Ali Jafarzadeh</creatorcontrib><creatorcontrib>Safarian, Mohammad</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Nutrition in clinical practice</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jazinaki, Mostafa Shahraki</au><au>Norouzy, Abdolreza</au><au>Arabi, Seyyed Mostafa</au><au>Moghadam, Mohammad Reza Shadmand Foumani</au><au>Esfahani, Ali Jafarzadeh</au><au>Safarian, Mohammad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Two‐step GLIM approach using NRS‐2002 screening tool vs direct GLIM criteria application in hospital malnutrition diagnosis: A cross‐sectional study</atitle><jtitle>Nutrition in clinical practice</jtitle><addtitle>Nutr Clin Pract</addtitle><date>2024-12</date><risdate>2024</risdate><volume>39</volume><issue>6</issue><spage>1419</spage><epage>1430</epage><pages>1419-1430</pages><issn>0884-5336</issn><issn>1941-2452</issn><eissn>1941-2452</eissn><abstract>Background The two‐step Global Leadership Initiative on Malnutrition (GLIM) approach was recently introduced to malnutrition diagnosis in a hospital setting. This study compares the diagnostic performance of this approach that uses the Nutritional Risk Screening‐2002 (NRS‐2002) as a screening tool and the direct application of GLIM malnutrition diagnostic criteria in hospitalized patients. Methods This cross‐sectional study involved 290 adult and older adult patients who were hospitalized. A trained nutritionist implemented the two‐step GLIM approach, including NRS‐2002 (in the first step) and GLIM criteria (in the second step) for each patient. Then, the accuracy, kappa index, area under the receiver operating characteristic curve (AUC ROC), sensitivity, and specificity of malnutrition diagnostic performance of the two‐step GLIM approach and NRS‐2002 were evaluated compared to the direct use of GLIM criteria. Results The NRS‐2002 identified 145 (50.0%) patients as at risk of malnutrition. The prevalence of malnutrition using the two‐step GLIM approach and GLIM malnutrition diagnosis criteria were 120 (41.4%) and 141 (48.6%), respectively. The kappa index showed substantial and almost perfect agreement for NRS‐2002 (κ = 68%) and the two‐step GLIM approach (κ = 85%) with GLIM malnutrition diagnostic criteria, respectively. Furthermore, the AUC ROC (0.926; 95% confidence interval (CI): 0.89–0.96) and accuracy (92.8%) of the two‐step GLIM approach compared to the GLIM criteria indicated an acepptable ability to distinguish between malnourished and well‐nourished patients. Conclusion The two‐step GLIM approach using NRS‐2002 as a screening tool (in step one) had acceptable malnutrition diagnostic performance compared to the direct application of GLIM criteria in hospitalized patients.</abstract><cop>United States</cop><pmid>39446911</pmid><doi>10.1002/ncp.11229</doi><tpages>12</tpages><orcidid>https://orcid.org/0009-0006-6526-8712</orcidid><orcidid>https://orcid.org/0000-0001-7431-7869</orcidid></addata></record>
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1941-2452
1941-2452
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source MEDLINE; Wiley Online Library Journals Frontfile Complete
subjects Adult
adults
Aged
Aged, 80 and over
confidence interval
Cross-Sectional Studies
Female
Global Leadership Initiative on Malnutrition
Hospitalization
hospitals
Humans
leadership
Male
malnutrition
Malnutrition - diagnosis
Malnutrition - epidemiology
Mass Screening - methods
Mass Screening - standards
Middle Aged
nutrition
Nutrition Assessment
nutrition risk assessment
nutritional assessment
Nutritional Risk Screening 2002
Nutritional Status
patients
Prevalence
risk
ROC Curve
Sensitivity and Specificity
title Two‐step GLIM approach using NRS‐2002 screening tool vs direct GLIM criteria application in hospital malnutrition diagnosis: A cross‐sectional study
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