Cargando…

The Application of Fat-Free Mass Index for Survival Prediction in Cancer Patients With Normal and High Body Mass Index

Background: Fat-free mass (FFM) depletion can be masked by a stable body weight or weight gain in the presence of a normal or high body mass index (BMI). This study investigated the prognostic value of low fat-free mass index (FFMI) in cancer patients with normal or high BMI. Methods: This multicent...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Xi, Zhang, Qi, Feng, Li-jin, Zhang, Kang-Ping, Tang, Meng, Song, Meng-meng, Ruan, Guo-tian, Zhang, Xiao-wei, Li, Wei, Zhou, Fu-xiang, Cong, Ming-Hua, Shi, Han-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371389/
https://www.ncbi.nlm.nih.gov/pubmed/34422885
http://dx.doi.org/10.3389/fnut.2021.714051
_version_ 1783739630897594368
author Zhang, Xi
Zhang, Qi
Feng, Li-jin
Zhang, Kang-Ping
Tang, Meng
Song, Meng-meng
Ruan, Guo-tian
Zhang, Xiao-wei
Li, Wei
Zhou, Fu-xiang
Cong, Ming-Hua
Shi, Han-Ping
author_facet Zhang, Xi
Zhang, Qi
Feng, Li-jin
Zhang, Kang-Ping
Tang, Meng
Song, Meng-meng
Ruan, Guo-tian
Zhang, Xiao-wei
Li, Wei
Zhou, Fu-xiang
Cong, Ming-Hua
Shi, Han-Ping
author_sort Zhang, Xi
collection PubMed
description Background: Fat-free mass (FFM) depletion can be masked by a stable body weight or weight gain in the presence of a normal or high body mass index (BMI). This study investigated the prognostic value of low fat-free mass index (FFMI) in cancer patients with normal or high BMI. Methods: This multicenter retrospective cohort study included 1,602 cancer patients with normal/high BMI. The association of FFMI with patients' overall survival (OS) was analyzed by the Kaplan-Meier method and a Cox model. Results: In this analysis, there were 974 (60.8%) females and 628 (39.2%) males. Low FFMI was associated with worse OS when compared with those patients with normal FFMI. After multivariate adjustment, low FFMI was demonstrated to be an independent unfavorable prognostic factor (HR: 1.69; 95% CI: 1.28, 2.23; P < 0.001) in cancer patients with normal/high BMI. For specific tumor type, low FFMI was found to be associated with worse prognosis in patients with lung cancer, breast cancer and upper gastrointestinal cancer. In subgroup analysis, the association of low FFMI with worse survival was significantly modified by weight loss (P for interaction = 0.012), and those patients with concurrent low FFMI and weight loss showed the worst prognosis (HR: 3.53; 95% CI: 2.04, 6.11; P < 0.001). Conclusion: Low FFMI was associated with worse prognosis in cancer patients with normal/high BMI. This study highlights the usefulness of FFMI for prognostic estimation in these patients.
format Online
Article
Text
id pubmed-8371389
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-83713892021-08-19 The Application of Fat-Free Mass Index for Survival Prediction in Cancer Patients With Normal and High Body Mass Index Zhang, Xi Zhang, Qi Feng, Li-jin Zhang, Kang-Ping Tang, Meng Song, Meng-meng Ruan, Guo-tian Zhang, Xiao-wei Li, Wei Zhou, Fu-xiang Cong, Ming-Hua Shi, Han-Ping Front Nutr Nutrition Background: Fat-free mass (FFM) depletion can be masked by a stable body weight or weight gain in the presence of a normal or high body mass index (BMI). This study investigated the prognostic value of low fat-free mass index (FFMI) in cancer patients with normal or high BMI. Methods: This multicenter retrospective cohort study included 1,602 cancer patients with normal/high BMI. The association of FFMI with patients' overall survival (OS) was analyzed by the Kaplan-Meier method and a Cox model. Results: In this analysis, there were 974 (60.8%) females and 628 (39.2%) males. Low FFMI was associated with worse OS when compared with those patients with normal FFMI. After multivariate adjustment, low FFMI was demonstrated to be an independent unfavorable prognostic factor (HR: 1.69; 95% CI: 1.28, 2.23; P < 0.001) in cancer patients with normal/high BMI. For specific tumor type, low FFMI was found to be associated with worse prognosis in patients with lung cancer, breast cancer and upper gastrointestinal cancer. In subgroup analysis, the association of low FFMI with worse survival was significantly modified by weight loss (P for interaction = 0.012), and those patients with concurrent low FFMI and weight loss showed the worst prognosis (HR: 3.53; 95% CI: 2.04, 6.11; P < 0.001). Conclusion: Low FFMI was associated with worse prognosis in cancer patients with normal/high BMI. This study highlights the usefulness of FFMI for prognostic estimation in these patients. Frontiers Media S.A. 2021-08-04 /pmc/articles/PMC8371389/ /pubmed/34422885 http://dx.doi.org/10.3389/fnut.2021.714051 Text en Copyright © 2021 Zhang, Zhang, Feng, Zhang, Tang, Song, Ruan, Zhang, Li, Zhou, Cong and Shi. 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
Zhang, Xi
Zhang, Qi
Feng, Li-jin
Zhang, Kang-Ping
Tang, Meng
Song, Meng-meng
Ruan, Guo-tian
Zhang, Xiao-wei
Li, Wei
Zhou, Fu-xiang
Cong, Ming-Hua
Shi, Han-Ping
The Application of Fat-Free Mass Index for Survival Prediction in Cancer Patients With Normal and High Body Mass Index
title The Application of Fat-Free Mass Index for Survival Prediction in Cancer Patients With Normal and High Body Mass Index
title_full The Application of Fat-Free Mass Index for Survival Prediction in Cancer Patients With Normal and High Body Mass Index
title_fullStr The Application of Fat-Free Mass Index for Survival Prediction in Cancer Patients With Normal and High Body Mass Index
title_full_unstemmed The Application of Fat-Free Mass Index for Survival Prediction in Cancer Patients With Normal and High Body Mass Index
title_short The Application of Fat-Free Mass Index for Survival Prediction in Cancer Patients With Normal and High Body Mass Index
title_sort application of fat-free mass index for survival prediction in cancer patients with normal and high body mass index
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371389/
https://www.ncbi.nlm.nih.gov/pubmed/34422885
http://dx.doi.org/10.3389/fnut.2021.714051
work_keys_str_mv AT zhangxi theapplicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT zhangqi theapplicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT fenglijin theapplicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT zhangkangping theapplicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT tangmeng theapplicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT songmengmeng theapplicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT ruanguotian theapplicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT zhangxiaowei theapplicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT liwei theapplicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT zhoufuxiang theapplicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT congminghua theapplicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT shihanping theapplicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT zhangxi applicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT zhangqi applicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT fenglijin applicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT zhangkangping applicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT tangmeng applicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT songmengmeng applicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT ruanguotian applicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT zhangxiaowei applicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT liwei applicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT zhoufuxiang applicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT congminghua applicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex
AT shihanping applicationoffatfreemassindexforsurvivalpredictionincancerpatientswithnormalandhighbodymassindex