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Which anthropometric measurement is better for predicting survival of patients with cancer cachexia?

Published online by Cambridge University Press:  30 July 2021

Yi-Zhong Ge ,
Guo-Tian Ruan ,
Kang-Ping Zhang ,
Meng Tang ,
Qi Zhang ,
Xi Zhang ,
Meng-Meng Song ,
Xiao-Wei Zhang ,
Ming Yang  and
Xian Shen
...Show all authors
Yi-Zhong Ge
Affiliation:
The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou325000, People’s Republic of China Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing100038, People’s Republic of China Department of Oncology, Capital Medical University, Beijing100038, People’s Republic of China Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing100038, People’s Republic of China
Guo-Tian Ruan
Affiliation:
Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing100038, People’s Republic of China Department of Oncology, Capital Medical University, Beijing100038, People’s Republic of China Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing100038, People’s Republic of China
Kang-Ping Zhang
Affiliation:
Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing100038, People’s Republic of China Department of Oncology, Capital Medical University, Beijing100038, People’s Republic of China Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing100038, People’s Republic of China
Meng Tang
Affiliation:
Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing100038, People’s Republic of China Department of Oncology, Capital Medical University, Beijing100038, People’s Republic of China Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing100038, People’s Republic of China
Qi Zhang
Affiliation:
Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing100038, People’s Republic of China Department of Oncology, Capital Medical University, Beijing100038, People’s Republic of China Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing100038, People’s Republic of China
Xi Zhang
Affiliation:
Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing100038, People’s Republic of China Department of Oncology, Capital Medical University, Beijing100038, People’s Republic of China Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing100038, People’s Republic of China
Meng-Meng Song
Affiliation:
Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing100038, People’s Republic of China Department of Oncology, Capital Medical University, Beijing100038, People’s Republic of China Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing100038, People’s Republic of China
Xiao-Wei Zhang
Affiliation:
Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing100038, People’s Republic of China Department of Oncology, Capital Medical University, Beijing100038, People’s Republic of China Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing100038, People’s Republic of China
Ming Yang
Affiliation:
Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing100038, People’s Republic of China Department of Oncology, Capital Medical University, Beijing100038, People’s Republic of China Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing100038, People’s Republic of China
Xian Shen
Affiliation:
The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou325000, People’s Republic of China
Hong-Xia Xu
Affiliation:
Department of Clinical Nutrition, Daping Hospital, Army Medical University, Chongqing400042, People’s Republic of China
Chun-Hua Song
Affiliation:
Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan450001, People’s Republic of China
Chang Wang
Affiliation:
Cancer Center of the First Hospital of Jilin University, Changchun, Jilin130021, People’s Republic of China
Han-Ping Shi*
Affiliation:
The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou325000, People’s Republic of China Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing100038, People’s Republic of China Department of Oncology, Capital Medical University, Beijing100038, People’s Republic of China Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing100038, People’s Republic of China
*
*Corresponding author: Dr Han-Ping Shi, email shihp@ccmu.edu.cn
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Abstract

No relevant studies have yet been conducted to explore which measurement can best predict the survival time of patients with cancer cachexia. This study aimed to identify an anthropometric measurement that could predict the 1-year survival of patients with cancer cachexia. We conducted a nested case–control study using data from a multicentre clinical investigation of cancer from 2013 to 2020. Cachexia was defined using the Fearon criteria. A total of 262 patients who survived less than 1 year and 262 patients who survived more than 1 year were included in this study. Six candidate variables were selected based on clinical experience and previous studies. Five variables, BMI, mid-arm circumference, mid-arm muscle circumference, calf circumference and triceps skin fold (TSF), were selected for inclusion in the multivariable model. In the conditional logistic regression analysis, TSF (P = 0·014) was identified as a significant independent protective factor. A similar result was observed in all patients with cancer cachexia (n 3084). In addition, a significantly stronger positive association between TSF and the 1-year survival of patients with cancer cachexia was observed in participants aged > 65 years (OR: 0·94; 95 % CI 0·89, 0·99) than in those aged ≤ 65 years (OR: 0·96; 95 % CI 0·93, 0·99; Pinteraction = 0·013) and in participants with no chronic disease (OR: 0·92; 95 % CI 0·87, 0·97) than in those with chronic disease (OR: 0·97; 95 % CI 0·94, 1·00; Pinteraction = 0·049). According to this study, TSF might be a good anthropometric measurement for predicting 1-year survival in patients with cancer cachexia.

Keywords

Triceps skin foldSurvivalCancer cachexiaAnthropometric measurementMalnutrition
Type
Research Article
Information
British Journal of Nutrition , Volume 127 , Issue 12 , 28 June 2022 , pp. 1849 - 1857
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Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of The Nutrition Society

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Footnotes

†

These authors contributed equally to this work and share first authorship.

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