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 multicente...

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Main Authors: Xi Zhang, Qi Zhang, Li-jin Feng, Kang-Ping Zhang, Meng Tang, Meng-meng Song, Guo-tian Ruan, Xiao-wei Zhang, Wei Li, Fu-xiang Zhou, Ming-Hua Cong, Han-Ping Shi
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Nutrition
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnut.2021.714051/full
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author Xi Zhang
Xi Zhang
Xi Zhang
Qi Zhang
Qi Zhang
Li-jin Feng
Kang-Ping Zhang
Kang-Ping Zhang
Meng Tang
Meng Tang
Meng-meng Song
Meng-meng Song
Guo-tian Ruan
Guo-tian Ruan
Xiao-wei Zhang
Xiao-wei Zhang
Wei Li
Fu-xiang Zhou
Ming-Hua Cong
Han-Ping Shi
Han-Ping Shi
author_facet Xi Zhang
Xi Zhang
Xi Zhang
Qi Zhang
Qi Zhang
Li-jin Feng
Kang-Ping Zhang
Kang-Ping Zhang
Meng Tang
Meng Tang
Meng-meng Song
Meng-meng Song
Guo-tian Ruan
Guo-tian Ruan
Xiao-wei Zhang
Xiao-wei Zhang
Wei Li
Fu-xiang Zhou
Ming-Hua Cong
Han-Ping Shi
Han-Ping Shi
author_sort Xi Zhang
collection DOAJ
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.
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spelling doaj.art-2618884ddf5648a79d61e8f1a2cd4ac92022-12-21T22:31:07ZengFrontiers Media S.A.Frontiers in Nutrition2296-861X2021-08-01810.3389/fnut.2021.714051714051The Application of Fat-Free Mass Index for Survival Prediction in Cancer Patients With Normal and High Body Mass IndexXi Zhang0Xi Zhang1Xi Zhang2Qi Zhang3Qi Zhang4Li-jin Feng5Kang-Ping Zhang6Kang-Ping Zhang7Meng Tang8Meng Tang9Meng-meng Song10Meng-meng Song11Guo-tian Ruan12Guo-tian Ruan13Xiao-wei Zhang14Xiao-wei Zhang15Wei Li16Fu-xiang Zhou17Ming-Hua Cong18Han-Ping Shi19Han-Ping Shi20Department of Gastrointestinal Surgery, Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, ChinaDepartment of Radiotherapy, Affiliated Hospital of Hebei University, Baoding, ChinaBeijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, ChinaDepartment of Gastrointestinal Surgery, Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, ChinaBeijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, ChinaDepartment of Pathology, Shanghai Tenth People's Hospital, Tongji University, School of Medicine, Shanghai, ChinaDepartment of Gastrointestinal Surgery, Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, ChinaBeijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, ChinaDepartment of Gastrointestinal Surgery, Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, ChinaBeijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, ChinaDepartment of Gastrointestinal Surgery, Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, ChinaBeijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, ChinaDepartment of Gastrointestinal Surgery, Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, ChinaBeijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, ChinaDepartment of Gastrointestinal Surgery, Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, ChinaBeijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, ChinaCancer Center of the First Hospital of Jilin University, Changchun, ChinaDepartment of Oncology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, ChinaDepartment of Comprehensive Oncology, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, ChinaDepartment of Gastrointestinal Surgery, Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, ChinaBeijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, ChinaBackground: 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.https://www.frontiersin.org/articles/10.3389/fnut.2021.714051/fullFFMInormal/high BMIsurvivalprognosiscancer patients
spellingShingle Xi Zhang
Xi Zhang
Xi Zhang
Qi Zhang
Qi Zhang
Li-jin Feng
Kang-Ping Zhang
Kang-Ping Zhang
Meng Tang
Meng Tang
Meng-meng Song
Meng-meng Song
Guo-tian Ruan
Guo-tian Ruan
Xiao-wei Zhang
Xiao-wei Zhang
Wei Li
Fu-xiang Zhou
Ming-Hua Cong
Han-Ping Shi
Han-Ping Shi
The Application of Fat-Free Mass Index for Survival Prediction in Cancer Patients With Normal and High Body Mass Index
Frontiers in Nutrition
FFMI
normal/high BMI
survival
prognosis
cancer patients
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 FFMI
normal/high BMI
survival
prognosis
cancer patients
url https://www.frontiersin.org/articles/10.3389/fnut.2021.714051/full
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