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Impact of Body Composition on Prognosis and Dose-Limiting Toxicities on Metastatic Colorectal Cancer

Sarcopenia is a progressive skeletal muscle disease, often present in oncological patients, that is associated with multiple adverse events such as worse prognosis, physical performance, and quality of life. Body composition evaluation by CT cross-section at the L3 vertebrae region appears to be a p...

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Autores principales: da Silva Dias, David, Machado, Mafalda, Trabulo, Carolina, Gosálbez, Beatriz, Ravasco, Paula
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830532/
https://www.ncbi.nlm.nih.gov/pubmed/35155507
http://dx.doi.org/10.3389/fnut.2021.671547
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author da Silva Dias, David
Machado, Mafalda
Trabulo, Carolina
Gosálbez, Beatriz
Ravasco, Paula
author_facet da Silva Dias, David
Machado, Mafalda
Trabulo, Carolina
Gosálbez, Beatriz
Ravasco, Paula
author_sort da Silva Dias, David
collection PubMed
description Sarcopenia is a progressive skeletal muscle disease, often present in oncological patients, that is associated with multiple adverse events such as worse prognosis, physical performance, and quality of life. Body composition evaluation by CT cross-section at the L3 vertebrae region appears to be a precise method to quantify skeletal muscle. The optimal cut-off for the definition of sarcopenia is not yet established, therefore the incidence of sarcopenia varies according to different studies. The main goal was to evaluate the presence of sarcopenia in patients with metastatic colorectal cancer (mCRC) and its impact on overall survival (OS) and dose-limiting toxicities (DLT). A retrospective cohort study of 178 patients with mCRC under first-line chemotherapy (ChT) in association with target therapy, in two hospital units, between January 2015 and December 2018. Skeletal mass area (SMA) was quantified with the NIH ImageJ software in CT cross-sectional images at the L3 vertebrae region. Statistical analysis was performed with IBM SPSS v25 software https://www.ibm.com/analytics/spss-statistics-software. The median age was 62 (SD ± 11) years old, 65% were men and 62.9% had an Eastern Cooperative Oncology Group (ECOG) performance status of 0. The cut-off value was established based on ROC analysis, with sarcopenia defined as SMI < 49.12 cm(2)/m(2) for men and < 35.85 cm(2)/m(2) for women. Despite the mean body mass index (BMI) of 25.71 (± 4.71) kg/m(2), half of the patients presented sarcopenia. In a multivariate analysis using a Cox regression model, an association was observed between OS and higher ECOG PS (p = 0.014; HR 5.46, CI 95% [1.42–21.10]), neutrophil-to-lymphocyte ratio (NLR) >2.80 (p = 0.038; HR 2.20, CI 95% [1,05–4.62]), and sarcopenia (p = 0.01; HR 4.73, CI 95% [1.85–12.09]). Additionally, in a logistic regression model, age (p = 0.014; OR 1.09, IC 95% [1.02–1.16]) and sarcopenia (p= 0.030, OR 4.13, IC 95% [1.15-14.8]) were associated with higher incidence of DLT. The CT evaluation of the body composition at the L3 region allows for the quantification of sarcopenia, providing prognostic information and predictive value of DLT in patients with mCRC, although the establishment of optimal cut-off values are required for implementation in clinical practice. A multimodal strategy to delay muscle waste should be considered in these patients.
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spelling pubmed-88305322022-02-11 Impact of Body Composition on Prognosis and Dose-Limiting Toxicities on Metastatic Colorectal Cancer da Silva Dias, David Machado, Mafalda Trabulo, Carolina Gosálbez, Beatriz Ravasco, Paula Front Nutr Nutrition Sarcopenia is a progressive skeletal muscle disease, often present in oncological patients, that is associated with multiple adverse events such as worse prognosis, physical performance, and quality of life. Body composition evaluation by CT cross-section at the L3 vertebrae region appears to be a precise method to quantify skeletal muscle. The optimal cut-off for the definition of sarcopenia is not yet established, therefore the incidence of sarcopenia varies according to different studies. The main goal was to evaluate the presence of sarcopenia in patients with metastatic colorectal cancer (mCRC) and its impact on overall survival (OS) and dose-limiting toxicities (DLT). A retrospective cohort study of 178 patients with mCRC under first-line chemotherapy (ChT) in association with target therapy, in two hospital units, between January 2015 and December 2018. Skeletal mass area (SMA) was quantified with the NIH ImageJ software in CT cross-sectional images at the L3 vertebrae region. Statistical analysis was performed with IBM SPSS v25 software https://www.ibm.com/analytics/spss-statistics-software. The median age was 62 (SD ± 11) years old, 65% were men and 62.9% had an Eastern Cooperative Oncology Group (ECOG) performance status of 0. The cut-off value was established based on ROC analysis, with sarcopenia defined as SMI < 49.12 cm(2)/m(2) for men and < 35.85 cm(2)/m(2) for women. Despite the mean body mass index (BMI) of 25.71 (± 4.71) kg/m(2), half of the patients presented sarcopenia. In a multivariate analysis using a Cox regression model, an association was observed between OS and higher ECOG PS (p = 0.014; HR 5.46, CI 95% [1.42–21.10]), neutrophil-to-lymphocyte ratio (NLR) >2.80 (p = 0.038; HR 2.20, CI 95% [1,05–4.62]), and sarcopenia (p = 0.01; HR 4.73, CI 95% [1.85–12.09]). Additionally, in a logistic regression model, age (p = 0.014; OR 1.09, IC 95% [1.02–1.16]) and sarcopenia (p= 0.030, OR 4.13, IC 95% [1.15-14.8]) were associated with higher incidence of DLT. The CT evaluation of the body composition at the L3 region allows for the quantification of sarcopenia, providing prognostic information and predictive value of DLT in patients with mCRC, although the establishment of optimal cut-off values are required for implementation in clinical practice. A multimodal strategy to delay muscle waste should be considered in these patients. Frontiers Media S.A. 2022-01-27 /pmc/articles/PMC8830532/ /pubmed/35155507 http://dx.doi.org/10.3389/fnut.2021.671547 Text en Copyright © 2022 da Silva Dias, Machado, Trabulo, Gosálbez and Ravasco. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
da Silva Dias, David
Machado, Mafalda
Trabulo, Carolina
Gosálbez, Beatriz
Ravasco, Paula
Impact of Body Composition on Prognosis and Dose-Limiting Toxicities on Metastatic Colorectal Cancer
title Impact of Body Composition on Prognosis and Dose-Limiting Toxicities on Metastatic Colorectal Cancer
title_full Impact of Body Composition on Prognosis and Dose-Limiting Toxicities on Metastatic Colorectal Cancer
title_fullStr Impact of Body Composition on Prognosis and Dose-Limiting Toxicities on Metastatic Colorectal Cancer
title_full_unstemmed Impact of Body Composition on Prognosis and Dose-Limiting Toxicities on Metastatic Colorectal Cancer
title_short Impact of Body Composition on Prognosis and Dose-Limiting Toxicities on Metastatic Colorectal Cancer
title_sort impact of body composition on prognosis and dose-limiting toxicities on metastatic colorectal cancer
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830532/
https://www.ncbi.nlm.nih.gov/pubmed/35155507
http://dx.doi.org/10.3389/fnut.2021.671547
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