GLIM in diagnosing malnutrition and predicting outcome in ambulatory patients with head and neck cancer

Detalhes bibliográficos
Autor(a) principal: Orell, Helena Kristiina
Data de Publicação: 2022
Outros Autores: Pohju, Anne Katariina, Osterlund, Pia, Schwab, Ursula Sonja, Ravasco, Paula, Mäkitie, Antti
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.14/39598
Resumo: Aim: This study aimed to determine the prevalence of malnutrition in a head and neck cancer (HNC) population according to the Global Leadership Initiative on Malnutrition (GLIM) criteria and to assess its relation to survival. The secondary aim was to compare GLIM criteria to Patient–Generated Subjective Global Assessment (PG–SGA) and Nutritional Risk Screening 2002 (NRS 2002) methods. Methods: The assessment was performed in a series of 65 curative patients with newly diagnosed HNC in a nutrition intervention study. Malnutrition was defined as PG-SGA classes BC and nutritional risk as NRS 2002 score ≥3 and was retrospectively diagnosed with GLIM criteria in prospectively collected data at diagnosis. Sensitivity, specificity, and kappa (κ) were analyzed. Predictive accuracy was assessed by calculating the area under curve (AUC) b y receiver operating characteristic (ROC) analysis. Kaplan–Meier and Cox regression analyses were used to evaluate association between malnutrition and overall survival (OS), and disease-free survival (DFS). Results: GLIM-defined malnutrition was present in 37% (24/65) of patients. The GLIM showed 77% sensitivity and 84% specificity with agreement of κ = 0.60 and accuracy of AUC = 0.80 (p < 0.001) with PG-SGA and slightly higher sensitivity (83%) with NRS 2002 (κ = 0.58). Patients with GLIM-defined malnutrition had shorter OS (56 vs. 72 months, HR 2.26, 95% CI 1.07–4.77, p = 0.034) and DFS (37 vs. 66 months, HR 2.01, 95% CI 0.99–4.09, p = 0.054), than well-nourished patients. The adjusted HR was 2.53 (95% CI 1.14–5.47, p = 0.023) for OS and 2.10 (95% CI 0.98–4.48, p = 0.056) for DFS in patients with GLIM-defined malnutrition. Conclusion: A substantial proportion of HNC patients were diagnosed with malnutrition according to the GLIM criteria and this showed a moderate agreement with NRS 2002- and PG–SGA-defined malnutrition. Even though the GLIM criteria had strong association with OS, its diagnostic value was poor. Therefore, the GLIM criteria seem potential for malnutrition diagnostics and outcome prediction in the HNC patient population. Furthermore, NRS 2002 score ≥3 indicates high nutritional risk in this patient group.
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spelling GLIM in diagnosing malnutrition and predicting outcome in ambulatory patients with head and neck cancerHead and neck cancerMalnutritionNutrition statusNutrition status assessmentNutritional riskNutritional risk screening 2002Patient-Generated Subjective Global AssessmentSurvivalAim: This study aimed to determine the prevalence of malnutrition in a head and neck cancer (HNC) population according to the Global Leadership Initiative on Malnutrition (GLIM) criteria and to assess its relation to survival. The secondary aim was to compare GLIM criteria to Patient–Generated Subjective Global Assessment (PG–SGA) and Nutritional Risk Screening 2002 (NRS 2002) methods. Methods: The assessment was performed in a series of 65 curative patients with newly diagnosed HNC in a nutrition intervention study. Malnutrition was defined as PG-SGA classes BC and nutritional risk as NRS 2002 score ≥3 and was retrospectively diagnosed with GLIM criteria in prospectively collected data at diagnosis. Sensitivity, specificity, and kappa (κ) were analyzed. Predictive accuracy was assessed by calculating the area under curve (AUC) b y receiver operating characteristic (ROC) analysis. Kaplan–Meier and Cox regression analyses were used to evaluate association between malnutrition and overall survival (OS), and disease-free survival (DFS). Results: GLIM-defined malnutrition was present in 37% (24/65) of patients. The GLIM showed 77% sensitivity and 84% specificity with agreement of κ = 0.60 and accuracy of AUC = 0.80 (p < 0.001) with PG-SGA and slightly higher sensitivity (83%) with NRS 2002 (κ = 0.58). Patients with GLIM-defined malnutrition had shorter OS (56 vs. 72 months, HR 2.26, 95% CI 1.07–4.77, p = 0.034) and DFS (37 vs. 66 months, HR 2.01, 95% CI 0.99–4.09, p = 0.054), than well-nourished patients. The adjusted HR was 2.53 (95% CI 1.14–5.47, p = 0.023) for OS and 2.10 (95% CI 0.98–4.48, p = 0.056) for DFS in patients with GLIM-defined malnutrition. Conclusion: A substantial proportion of HNC patients were diagnosed with malnutrition according to the GLIM criteria and this showed a moderate agreement with NRS 2002- and PG–SGA-defined malnutrition. Even though the GLIM criteria had strong association with OS, its diagnostic value was poor. Therefore, the GLIM criteria seem potential for malnutrition diagnostics and outcome prediction in the HNC patient population. Furthermore, NRS 2002 score ≥3 indicates high nutritional risk in this patient group.Veritati - Repositório Institucional da Universidade Católica PortuguesaOrell, Helena KristiinaPohju, Anne KatariinaOsterlund, PiaSchwab, Ursula SonjaRavasco, PaulaMäkitie, Antti2022-12-21T08:59:46Z2022-11-222022-11-22T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.14/39598eng2296-861X10.3389/fnut.2022.103061985143344666PMC972458936483923000893863900001info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-09T01:36:44Zoai:repositorio.ucp.pt:10400.14/39598Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:32:24.559900Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv GLIM in diagnosing malnutrition and predicting outcome in ambulatory patients with head and neck cancer
title GLIM in diagnosing malnutrition and predicting outcome in ambulatory patients with head and neck cancer
spellingShingle GLIM in diagnosing malnutrition and predicting outcome in ambulatory patients with head and neck cancer
Orell, Helena Kristiina
Head and neck cancer
Malnutrition
Nutrition status
Nutrition status assessment
Nutritional risk
Nutritional risk screening 2002
Patient-Generated Subjective Global Assessment
Survival
title_short GLIM in diagnosing malnutrition and predicting outcome in ambulatory patients with head and neck cancer
title_full GLIM in diagnosing malnutrition and predicting outcome in ambulatory patients with head and neck cancer
title_fullStr GLIM in diagnosing malnutrition and predicting outcome in ambulatory patients with head and neck cancer
title_full_unstemmed GLIM in diagnosing malnutrition and predicting outcome in ambulatory patients with head and neck cancer
title_sort GLIM in diagnosing malnutrition and predicting outcome in ambulatory patients with head and neck cancer
author Orell, Helena Kristiina
author_facet Orell, Helena Kristiina
Pohju, Anne Katariina
Osterlund, Pia
Schwab, Ursula Sonja
Ravasco, Paula
Mäkitie, Antti
author_role author
author2 Pohju, Anne Katariina
Osterlund, Pia
Schwab, Ursula Sonja
Ravasco, Paula
Mäkitie, Antti
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Veritati - Repositório Institucional da Universidade Católica Portuguesa
dc.contributor.author.fl_str_mv Orell, Helena Kristiina
Pohju, Anne Katariina
Osterlund, Pia
Schwab, Ursula Sonja
Ravasco, Paula
Mäkitie, Antti
dc.subject.por.fl_str_mv Head and neck cancer
Malnutrition
Nutrition status
Nutrition status assessment
Nutritional risk
Nutritional risk screening 2002
Patient-Generated Subjective Global Assessment
Survival
topic Head and neck cancer
Malnutrition
Nutrition status
Nutrition status assessment
Nutritional risk
Nutritional risk screening 2002
Patient-Generated Subjective Global Assessment
Survival
description Aim: This study aimed to determine the prevalence of malnutrition in a head and neck cancer (HNC) population according to the Global Leadership Initiative on Malnutrition (GLIM) criteria and to assess its relation to survival. The secondary aim was to compare GLIM criteria to Patient–Generated Subjective Global Assessment (PG–SGA) and Nutritional Risk Screening 2002 (NRS 2002) methods. Methods: The assessment was performed in a series of 65 curative patients with newly diagnosed HNC in a nutrition intervention study. Malnutrition was defined as PG-SGA classes BC and nutritional risk as NRS 2002 score ≥3 and was retrospectively diagnosed with GLIM criteria in prospectively collected data at diagnosis. Sensitivity, specificity, and kappa (κ) were analyzed. Predictive accuracy was assessed by calculating the area under curve (AUC) b y receiver operating characteristic (ROC) analysis. Kaplan–Meier and Cox regression analyses were used to evaluate association between malnutrition and overall survival (OS), and disease-free survival (DFS). Results: GLIM-defined malnutrition was present in 37% (24/65) of patients. The GLIM showed 77% sensitivity and 84% specificity with agreement of κ = 0.60 and accuracy of AUC = 0.80 (p < 0.001) with PG-SGA and slightly higher sensitivity (83%) with NRS 2002 (κ = 0.58). Patients with GLIM-defined malnutrition had shorter OS (56 vs. 72 months, HR 2.26, 95% CI 1.07–4.77, p = 0.034) and DFS (37 vs. 66 months, HR 2.01, 95% CI 0.99–4.09, p = 0.054), than well-nourished patients. The adjusted HR was 2.53 (95% CI 1.14–5.47, p = 0.023) for OS and 2.10 (95% CI 0.98–4.48, p = 0.056) for DFS in patients with GLIM-defined malnutrition. Conclusion: A substantial proportion of HNC patients were diagnosed with malnutrition according to the GLIM criteria and this showed a moderate agreement with NRS 2002- and PG–SGA-defined malnutrition. Even though the GLIM criteria had strong association with OS, its diagnostic value was poor. Therefore, the GLIM criteria seem potential for malnutrition diagnostics and outcome prediction in the HNC patient population. Furthermore, NRS 2002 score ≥3 indicates high nutritional risk in this patient group.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-21T08:59:46Z
2022-11-22
2022-11-22T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.14/39598
url http://hdl.handle.net/10400.14/39598
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2296-861X
10.3389/fnut.2022.1030619
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PMC9724589
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