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Yin L, Zhang L, Li L, Liu M, Zheng J, Xu A, Lyu Q, Feng Y, Guo Z, Ma H, Li J, Chen Z, Wang H, Li Z, Zhou C, Gao X, Weng M, Yao Q, Li W, Li T, Shi H, Xu H. Exploring the optimal indicator of short-term peridiagnosis weight dynamics to predict cancer survival: A multicentre cohort study. J Cachexia Sarcopenia Muscle 2024. [PMID: 38644549 DOI: 10.1002/jcsm.13467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 02/21/2024] [Accepted: 03/10/2024] [Indexed: 04/23/2024] Open
Abstract
BACKGROUND Body weight and its changes have been associated with cancer outcomes. However, the associations of short-term peridiagnosis weight dynamics in standardized, clinically operational time frames with cancer survival remain largely unknown. This study aimed to screen for and evaluate the optimal indicator of short-term peridiagnosis weight dynamics to predict overall survival (OS) in patients with cancer. METHODS This multicentre cohort study prospectively collected data from 7460 patients pathologically diagnosed with cancer between 2013 and 2019. Body weight data were recorded 1 month before, at the time of and 1 month following diagnosis. By permuting different types (point value in kg, point height-adjusted value in kg/m2, absolute change in kg or relative change in percentage) and time frames (prediagnosis, postdiagnosis or peridiagnosis), we generated 12 different weight-related indicators and compared their prognostic performance using Harrell's C-index, integrated discrimination improvement, continuous net reclassification improvement and time-dependent C-index. We analysed associations of peridiagnosis relative weight change (RWC) with OS using restricted cubic spine (RCS), Kaplan-Meier analysis and multivariable-adjusted Cox regression models. RESULTS The study enrolled 5012 males and 2448 females, with a median age of 59 years. During a median follow-up of 37 months, 1026 deaths occurred. Peridiagnosis (1 month before diagnosis to 1 month following diagnosis) RWC showed higher prognostic performance (Harrell's C-index = 0.601, 95% confidence interval [CI] = [0.583, 0.619]) than other types of indicators including body mass index (BMI), absolute weight change, absolute BMI change, prediagnosis RWC and postdiagnosis RWC in the study population (all P < 0.05). Time-dependent C-index analysis also indicated that peridiagnosis RWC was optimal for predicting OS. The multivariable-adjusted RCS analysis revealed an N-shaped non-linear association between peridiagnosis RWC and OS (PRWC < 0.001, Pnon-linear < 0.001). Univariate survival analysis showed that the peridiagnosis RWC groups could represent distinct mortality risk stratifications (P < 0.001). Multivariable survival analysis showed that, compared with the maintenance group (weight change < 5%), the significant (gain >10%, hazard ratio [HR] = 0.530, 95% CI = [0.413, 0.680]) and moderate (gain 5-10%, HR = 0.588, 95% CI = [0.422, 0.819]) weight gain groups were both associated with improved OS. In contrast, the moderate (loss 5-10%, HR = 1.219, 95% CI = [1.029, 1.443]) and significant (loss >10%, HR = 1.280, 95% CI = [1.095, 1.497]) weight loss groups were both associated with poorer OS. CONCLUSIONS The prognostic performance of peridiagnosis RWC is superior to other weight-related indicators in patients with cancer. The findings underscore the importance of expanding the surveillance of body weight from at diagnosis to both past and future, and conducting it within clinically operational time frames, in order to identify and intervene with patients who are at risk of weight change-related premature deaths.
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Affiliation(s)
- Liangyu Yin
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
- Department of Nephrology, the Key Laboratory for the Prevention and Treatment of Chronic Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Ling Zhang
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Long Li
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Ming Liu
- Department of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Jin Zheng
- Department of Traditional Chinese Medicine, Tangdu Hospital, Air Force Medical University (The Fourth Military Medical University), Xi'an, China
| | - Aiguo Xu
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Quanjun Lyu
- Department of Nutrition, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yongdong Feng
- Department of GI Cancer Research Institute, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zengqing Guo
- Department of Medical Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Hu Ma
- Department of Oncology, The Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Jipeng Li
- Department of Experimental Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Zhikang Chen
- Department of Colorectal and Anus Surgery, Xiangya Hospital of Central South University, Changsha, China
| | - Hui Wang
- Department of Oncology, The People's Hospital of Dujiangyan, Dujiangyan, China
| | - Zengning Li
- Department of Clinical Nutrition, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Chunling Zhou
- Department of Clinical Nutrition, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xi Gao
- Department of Oncology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Min Weng
- Department of Clinical Nutrition, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Qinghua Yao
- Department of Integrated Chinese and Western Medicine, Cancer Hospital of the University of Chinese Academy of Science (Zhejiang Cancer Hospital), Hangzhou, China
| | - Wei Li
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Tao Li
- Department of Radiation Oncology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Hanping Shi
- Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Hongxia Xu
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
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Chong F, Huo Z, Yin L, Liu J, Li N, Guo J, Fan Y, Zhang M, Zhang L, Lin X, Chen J, Zhou C, Li S, Zhou F, Yao Q, Guo Z, Weng M, Liu M, Li T, Li Z, Cui J, Li W, Shi H, Guo W, Xu H. Value of the modified Patient-Generated Subjective Global Assessment in indicating the need for nutrition intervention and predicting overall survival in patients with malignant tumors in at least two organs. Nutr Clin Pract 2024. [PMID: 38460962 DOI: 10.1002/ncp.11140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 01/27/2024] [Accepted: 02/04/2024] [Indexed: 03/11/2024] Open
Abstract
BACKGROUND Although the Patient-Generated Subjective Global Assessment (PG-SGA) is a reference standard used to assess a patient's nutrition status, it is cumbersome to administer. The aim of the present study was to estimate the value of a simpler and easier-to-use modified PG-SGA (mPG-SGA) to evaluate the nutrition status and need for intervention in patients with malignant tumors present in at least two organs. METHODS A total of 591 patients (343 male and 248 female) were included from the INSCOC study. A Pearson correlation analysis was conducted to assess the correlation between the mPG-SGA and nutrition-related factors, with the optimal cut-off defined by a receiver operating characteristic curve (ROC). The consistency between the mPG-SGA and PG-SGA was compared in a concordance analysis. A survival analysis was used to determine the effects of nutritional intervention among different nutrition status groups. Univariable and multivariable Cox analyses were applied to evaluate the association of the mPG-SGA with the all-cause mortality. RESULTS The mPG-SGA showed a negative association with nutrition-related factors. Individuals with an mPG-SGA ≥ 5 (rounded from 4.5) were considered to need nutritional intervention. Among the malnourished patients (mPG-SGA ≥ 5), the overall survival (OS) of those who received nutrition intervention was significantly higher than that of patients who did not. However, the OS was not significantly different in the better-nourished patients (mPG-SGA < 5). CONCLUSION Our findings support that the mPG-SGA is a feasible tool that can be used to guide nutritional interventions and predict the survival of patients with malignant tumors affecting at least two organs.
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Affiliation(s)
- Feifei Chong
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Zhenyu Huo
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Liangyu Yin
- Institute of Hepatopancreatobiliary Surgery, Army Medical University (Third Military Medical University), Chongqing, China
| | - Jie Liu
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Na Li
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Jing Guo
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Yang Fan
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Mengyuan Zhang
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Ling Zhang
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Xin Lin
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Junqiang Chen
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Chunling Zhou
- Department of Clinical Nutrition, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Suyi Li
- Department of Nutrition and Metabolism of Oncology, The First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Cancer Hospital, Hefei, Anhui, China
| | - Fuxiang Zhou
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
| | - Qinghua Yao
- Department of Integrated Chinese and Western Medicine, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China
| | - Zengqing Guo
- Department of Medical Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Min Weng
- Department of Clinical Nutrition, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Ming Liu
- Department of Colorectal Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Tao Li
- Department of Radiotherapy, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Zengning Li
- Department of Clinical Nutrition, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Jiuwei Cui
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Wei Li
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Hanping Shi
- Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Wei Guo
- Department of Thoracic Surgery, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Hongxia Xu
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, China
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