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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Veröffentlicht in:Cancers 2024-12, Vol.16 (24), p.4255
Hauptverfasser: 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
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container_end_page
container_issue 24
container_start_page 4255
container_title Cancers
container_volume 16
creator 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
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.
doi_str_mv 10.3390/cancers16244255
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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 &lt; 20 kg/m2), BCMI (cut-off &lt; 7.6 kg/m2), and RF-Y-axis (cut-off &lt; 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.</description><identifier>ISSN: 2072-6694</identifier><identifier>EISSN: 2072-6694</identifier><identifier>DOI: 10.3390/cancers16244255</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Abdomen ; Biochemical analysis ; Body fat ; Cancer patients ; Cancer therapies ; Care and treatment ; Chemotherapy ; Functional morphology ; Head &amp; neck cancer ; Head and neck ; Head and neck cancer ; Health aspects ; Longitudinal studies ; Malnutrition ; Medical prognosis ; Mortality ; Musculoskeletal system ; Nutrition ; Nutritional status ; Parenteral nutrition ; Patients ; Quality of life ; Radiation therapy ; Spain ; Ultrasonic imaging ; Ultrasound</subject><ispartof>Cancers, 2024-12, Vol.16 (24), p.4255</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 by the authors. 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1919-551ba259e8e76cf8188d9ce6db08f8aa357ca913efd9ec1bf9203fbe4dd6b0e13</cites><orcidid>0009-0003-0106-5594 ; 0000-0001-7780-1402</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11674739/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11674739/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27922,27923,53789,53791</link.rule.ids></links><search><creatorcontrib>Vílchez-López, Francisco Javier</creatorcontrib><creatorcontrib>González-Pacheco, María</creatorcontrib><creatorcontrib>Fernández-Jiménez, Rocío</creatorcontrib><creatorcontrib>Zarco-Martín, María Teresa</creatorcontrib><creatorcontrib>Gonzalo-Marín, Montserrat</creatorcontrib><creatorcontrib>Cobo-Molinos, Jesús</creatorcontrib><creatorcontrib>Carmona-Llanos, Alba</creatorcontrib><creatorcontrib>Muñoz-Garach, Araceli</creatorcontrib><creatorcontrib>García-Luna, Pedro Pablo</creatorcontrib><creatorcontrib>Herrera-Martínez, Aura D</creatorcontrib><creatorcontrib>Zarco-Rodríguez, Felisa Pilar</creatorcontrib><creatorcontrib>Galindo-Gallardo, María del Carmen</creatorcontrib><creatorcontrib>Miguel-Luengo, Luis</creatorcontrib><creatorcontrib>Fernández-Soto, María Luisa</creatorcontrib><creatorcontrib>García-Almeida, José Manuel</creatorcontrib><title>Predictive Factors of the Degrees of Malnutrition According to GLIM Criteria in Head and Neck Cancer Patients: Valor Group</title><title>Cancers</title><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 &lt; 20 kg/m2), BCMI (cut-off &lt; 7.6 kg/m2), and RF-Y-axis (cut-off &lt; 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.</description><subject>Abdomen</subject><subject>Biochemical analysis</subject><subject>Body fat</subject><subject>Cancer patients</subject><subject>Cancer therapies</subject><subject>Care and treatment</subject><subject>Chemotherapy</subject><subject>Functional morphology</subject><subject>Head &amp; neck cancer</subject><subject>Head and neck</subject><subject>Head and neck cancer</subject><subject>Health aspects</subject><subject>Longitudinal studies</subject><subject>Malnutrition</subject><subject>Medical prognosis</subject><subject>Mortality</subject><subject>Musculoskeletal system</subject><subject>Nutrition</subject><subject>Nutritional status</subject><subject>Parenteral nutrition</subject><subject>Patients</subject><subject>Quality of life</subject><subject>Radiation therapy</subject><subject>Spain</subject><subject>Ultrasonic 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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></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1919-551ba259e8e76cf8188d9ce6db08f8aa357ca913efd9ec1bf9203fbe4dd6b0e13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Abdomen</topic><topic>Biochemical analysis</topic><topic>Body fat</topic><topic>Cancer patients</topic><topic>Cancer therapies</topic><topic>Care and treatment</topic><topic>Chemotherapy</topic><topic>Functional morphology</topic><topic>Head &amp; neck cancer</topic><topic>Head and neck</topic><topic>Head and neck cancer</topic><topic>Health aspects</topic><topic>Longitudinal studies</topic><topic>Malnutrition</topic><topic>Medical prognosis</topic><topic>Mortality</topic><topic>Musculoskeletal system</topic><topic>Nutrition</topic><topic>Nutritional status</topic><topic>Parenteral nutrition</topic><topic>Patients</topic><topic>Quality of life</topic><topic>Radiation therapy</topic><topic>Spain</topic><topic>Ultrasonic imaging</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vílchez-López, Francisco Javier</creatorcontrib><creatorcontrib>González-Pacheco, María</creatorcontrib><creatorcontrib>Fernández-Jiménez, Rocío</creatorcontrib><creatorcontrib>Zarco-Martín, María Teresa</creatorcontrib><creatorcontrib>Gonzalo-Marín, Montserrat</creatorcontrib><creatorcontrib>Cobo-Molinos, Jesús</creatorcontrib><creatorcontrib>Carmona-Llanos, Alba</creatorcontrib><creatorcontrib>Muñoz-Garach, 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Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Cancers</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vílchez-López, Francisco Javier</au><au>González-Pacheco, María</au><au>Fernández-Jiménez, Rocío</au><au>Zarco-Martín, María Teresa</au><au>Gonzalo-Marín, Montserrat</au><au>Cobo-Molinos, Jesús</au><au>Carmona-Llanos, Alba</au><au>Muñoz-Garach, Araceli</au><au>García-Luna, Pedro Pablo</au><au>Herrera-Martínez, Aura D</au><au>Zarco-Rodríguez, Felisa Pilar</au><au>Galindo-Gallardo, María del Carmen</au><au>Miguel-Luengo, Luis</au><au>Fernández-Soto, María Luisa</au><au>García-Almeida, José Manuel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictive Factors of the Degrees of Malnutrition According to GLIM Criteria in Head and Neck Cancer Patients: Valor Group</atitle><jtitle>Cancers</jtitle><date>2024-12-21</date><risdate>2024</risdate><volume>16</volume><issue>24</issue><spage>4255</spage><pages>4255-</pages><issn>2072-6694</issn><eissn>2072-6694</eissn><abstract>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 &lt; 20 kg/m2), BCMI (cut-off &lt; 7.6 kg/m2), and RF-Y-axis (cut-off &lt; 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.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/cancers16244255</doi><orcidid>https://orcid.org/0009-0003-0106-5594</orcidid><orcidid>https://orcid.org/0000-0001-7780-1402</orcidid><oa>free_for_read</oa></addata></record>
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source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central Open Access; MDPI - Multidisciplinary Digital Publishing Institute; PubMed Central
subjects Abdomen
Biochemical analysis
Body fat
Cancer patients
Cancer therapies
Care and treatment
Chemotherapy
Functional morphology
Head & neck cancer
Head and neck
Head and neck cancer
Health aspects
Longitudinal studies
Malnutrition
Medical prognosis
Mortality
Musculoskeletal system
Nutrition
Nutritional status
Parenteral nutrition
Patients
Quality of life
Radiation therapy
Spain
Ultrasonic imaging
Ultrasound
title Predictive Factors of the Degrees of Malnutrition According to GLIM Criteria in Head and Neck Cancer Patients: Valor Group
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