Predictive Factors of the Degrees of Malnutrition According to GLIM Criteria in Head and Neck Cancer Patients: Valor Group

Background: Malnutrition is highly prevalent in patients with head and neck cancer, with relevant consequences in the treatment results. Methods: Multicenter observational study including 514 patients diagnosed with HNC. The morphofunctional assessment was carried out during the first 2 weeks of rad...

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Autores: Vílchez-López, Francisco Javier, González-Pacheco, María, Fernández-Jiménez, Rocío, Zarco-Martín, María Teresa, Gonzalo-Marín, Montserrat, Cobo-Molinos, Jesús, Carmona-Llanos, Alba, Muñoz-Garach, Araceli, García-Luna, Pedro Pablo, Herrera-Martínez, Aura D., Zarco-Rodríguez, Felisa Pilar, Galindo-Gallardo, María del Carmen, Miguel-Luengo, Luis, Fernández-Soto, María Luisa, García-Almeida, José Manuel
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/387005
Acceso en línea:http://hdl.handle.net/10261/387005
https://api.elsevier.com/content/abstract/scopus_id/85213319439
Access Level:acceso abierto
Palabra clave:Glim criteria
Head and neck cancer
Malnutrition
Morphofunctional assessment
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spelling Predictive Factors of the Degrees of Malnutrition According to GLIM Criteria in Head and Neck Cancer Patients: Valor GroupVílchez-López, Francisco JavierGonzález-Pacheco, MaríaFernández-Jiménez, RocíoZarco-Martín, María TeresaGonzalo-Marín, MontserratCobo-Molinos, JesúsCarmona-Llanos, AlbaMuñoz-Garach, AraceliGarcía-Luna, Pedro PabloHerrera-Martínez, Aura D.Zarco-Rodríguez, Felisa PilarGalindo-Gallardo, María del CarmenMiguel-Luengo, LuisFernández-Soto, María LuisaGarcía-Almeida, José ManuelGlim criteriaHead and neck cancerMalnutritionMorphofunctional assessmentBackground: Malnutrition is highly prevalent in patients with head and neck cancer, with relevant consequences in the treatment results. Methods: Multicenter observational study including 514 patients diagnosed with HNC. The morphofunctional assessment was carried out during the first 2 weeks of radiotherapy treatment. A correlation analysis between nutritional variables and groups of malnutrition, a multivariate logistic regression analysis, and a random forest analysis to select the most relevant variables to predict malnutrition were performed. Results: In total, 51.6% were undernourished (26.3% moderately and 25.3% severely). There was a negative correlation between morphofunctional variables and a positive correlation between hsCRP and well vs. moderate and well vs. severe malnutrition groups. The increase in different bioelectrical and ultrasound parameters was associated with a lower risk of moderate and severe malnutrition when groups with different degrees of malnutrition were compared. To predict the importance of morphofunctional variables on the risk of undernutrition, a nomogram, a random forest, and decision tree models were conducted. For the well vs. moderate, for the well vs. severe, and for the moderate vs. severe malnutrition groups, FFMI (cut-off < 20 kg/m2), BCMI (cut-off < 7.6 kg/m2), and RF-Y-axis (cut-off < 0.94 cm), respectively, were the most crucial variables, showing a greater probability of mortality in the two last comparisons. Conclusions: Malnutrition is very prevalent in HNC patients. Morphofunctional assessment with simple tools such as electrical impedance and muscle ultrasound allows an early nutritional diagnosis with an impact on survival. Therefore, these techniques should be incorporated into the daily clinical attention of patients with HNC.This work was funded by FRESENEIUS KABI® and Project PI23/01554 funded by Instituto de Salud Carlos III (ISCIII) and cofounded by the European Union, JR19/00050, ISCIII. The funders were not involved in the study design, collection, analysis, interpretation of data, the writing of the manuscript, or the decision to submit it for publication.Peer reviewedMultidisciplinary Digital Publishing InstituteInstituto de Salud Carlos IIIFresenius KabiGarcía-Luna, Pedro Pablo [0000-0001-7460-5422]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/387005https://api.elsevier.com/content/abstract/scopus_id/85213319439reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.3390/cancers16244255Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3870052026-05-22T06:33:51Z
dc.title.none.fl_str_mv Predictive Factors of the Degrees of Malnutrition According to GLIM Criteria in Head and Neck Cancer Patients: Valor Group
title Predictive Factors of the Degrees of Malnutrition According to GLIM Criteria in Head and Neck Cancer Patients: Valor Group
spellingShingle Predictive Factors of the Degrees of Malnutrition According to GLIM Criteria in Head and Neck Cancer Patients: Valor Group
Vílchez-López, Francisco Javier
Glim criteria
Head and neck cancer
Malnutrition
Morphofunctional assessment
title_short Predictive Factors of the Degrees of Malnutrition According to GLIM Criteria in Head and Neck Cancer Patients: Valor Group
title_full Predictive Factors of the Degrees of Malnutrition According to GLIM Criteria in Head and Neck Cancer Patients: Valor Group
title_fullStr Predictive Factors of the Degrees of Malnutrition According to GLIM Criteria in Head and Neck Cancer Patients: Valor Group
title_full_unstemmed Predictive Factors of the Degrees of Malnutrition According to GLIM Criteria in Head and Neck Cancer Patients: Valor Group
title_sort Predictive Factors of the Degrees of Malnutrition According to GLIM Criteria in Head and Neck Cancer Patients: Valor Group
dc.creator.none.fl_str_mv Vílchez-López, Francisco Javier
González-Pacheco, María
Fernández-Jiménez, Rocío
Zarco-Martín, María Teresa
Gonzalo-Marín, Montserrat
Cobo-Molinos, Jesús
Carmona-Llanos, Alba
Muñoz-Garach, Araceli
García-Luna, Pedro Pablo
Herrera-Martínez, Aura D.
Zarco-Rodríguez, Felisa Pilar
Galindo-Gallardo, María del Carmen
Miguel-Luengo, Luis
Fernández-Soto, María Luisa
García-Almeida, José Manuel
author Vílchez-López, Francisco Javier
author_facet Vílchez-López, Francisco Javier
González-Pacheco, María
Fernández-Jiménez, Rocío
Zarco-Martín, María Teresa
Gonzalo-Marín, Montserrat
Cobo-Molinos, Jesús
Carmona-Llanos, Alba
Muñoz-Garach, Araceli
García-Luna, Pedro Pablo
Herrera-Martínez, Aura D.
Zarco-Rodríguez, Felisa Pilar
Galindo-Gallardo, María del Carmen
Miguel-Luengo, Luis
Fernández-Soto, María Luisa
García-Almeida, José Manuel
author_role author
author2 González-Pacheco, María
Fernández-Jiménez, Rocío
Zarco-Martín, María Teresa
Gonzalo-Marín, Montserrat
Cobo-Molinos, Jesús
Carmona-Llanos, Alba
Muñoz-Garach, Araceli
García-Luna, Pedro Pablo
Herrera-Martínez, Aura D.
Zarco-Rodríguez, Felisa Pilar
Galindo-Gallardo, María del Carmen
Miguel-Luengo, Luis
Fernández-Soto, María Luisa
García-Almeida, José Manuel
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Instituto de Salud Carlos III
Fresenius Kabi
García-Luna, Pedro Pablo [0000-0001-7460-5422]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Glim criteria
Head and neck cancer
Malnutrition
Morphofunctional assessment
topic Glim criteria
Head and neck cancer
Malnutrition
Morphofunctional assessment
description Background: Malnutrition is highly prevalent in patients with head and neck cancer, with relevant consequences in the treatment results. Methods: Multicenter observational study including 514 patients diagnosed with HNC. The morphofunctional assessment was carried out during the first 2 weeks of radiotherapy treatment. A correlation analysis between nutritional variables and groups of malnutrition, a multivariate logistic regression analysis, and a random forest analysis to select the most relevant variables to predict malnutrition were performed. Results: In total, 51.6% were undernourished (26.3% moderately and 25.3% severely). There was a negative correlation between morphofunctional variables and a positive correlation between hsCRP and well vs. moderate and well vs. severe malnutrition groups. The increase in different bioelectrical and ultrasound parameters was associated with a lower risk of moderate and severe malnutrition when groups with different degrees of malnutrition were compared. To predict the importance of morphofunctional variables on the risk of undernutrition, a nomogram, a random forest, and decision tree models were conducted. For the well vs. moderate, for the well vs. severe, and for the moderate vs. severe malnutrition groups, FFMI (cut-off < 20 kg/m2), BCMI (cut-off < 7.6 kg/m2), and RF-Y-axis (cut-off < 0.94 cm), respectively, were the most crucial variables, showing a greater probability of mortality in the two last comparisons. Conclusions: Malnutrition is very prevalent in HNC patients. Morphofunctional assessment with simple tools such as electrical impedance and muscle ultrasound allows an early nutritional diagnosis with an impact on survival. Therefore, these techniques should be incorporated into the daily clinical attention of patients with HNC.
publishDate 2024
dc.date.none.fl_str_mv 2024
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/387005
https://api.elsevier.com/content/abstract/scopus_id/85213319439
url http://hdl.handle.net/10261/387005
https://api.elsevier.com/content/abstract/scopus_id/85213319439
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.3390/cancers16244255
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
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collection DIGITAL.CSIC. Repositorio Institucional del CSIC
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repository.mail.fl_str_mv
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