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山东大学学报 (医学版) ›› 2024, Vol. 62 ›› Issue (4): 40-47.doi: 10.6040/j.issn.1671-7554.0.2024.0036

• 临床医学 • 上一篇    

老年胃癌患者衰弱与人体成分的相关性

郭鑫1,2,孟君2,3,郑世良1,2,董秀红4   

  1. 1.潍坊医学院附属医院全科医学科, 山东 潍坊 261035;2.潍坊医学院临床医学院, 山东 潍坊 261053;3.烟台毓璜顶医院呼吸与危重症医学科, 山东 烟台 264000;4.潍坊医学院附属医院消化内科, 山东 潍坊 261035
  • 发布日期:2024-05-16
  • 通讯作者: 董秀红. E-mail:dongxhong@126.com

Correlation between frailty and body composition in elderly patients with gastric cancer

GUO Xin1,2, MENG Jun2,3, ZHENG Shiliang1,2, DONG Xiuhong4   

  1. 1. Department of General Practice, Affiliated Hospital of Weifang Medical University, Weifang 261035, Shandong, China;
    2. School of Clinical Medicine, Weifang Medical University, Weifang 261053, Shandong, China;
    3. Department of Pulmonary and Critical Care Medicine Department, Yantai Yuhuangding Hospital, Yantai 264000, Shandong, China;
    4. Department of Gastroenterology, Affiliated Hospital of Weifang Medical University, Weifang 261035, Shandong, China
  • Published:2024-05-16

摘要: 目的 探讨老年胃癌患者衰弱与人体成分的相关性,以评估人体成分对老年癌患者发生衰弱的预测价值。 方法 选取2021年9月~2023年8月期间在潍坊医学院附属医院经过病理明确诊断的老年胃癌患者96例为研究对象。根据Fried衰弱表型量表(frailty phenotype, FP)将其分为衰弱组和非衰弱组。收集两组患者包括年龄、性别、吸烟、饮酒、肿瘤部位和肿瘤分期等一般临床资料。测量患者的身高、体质量,应用人体成分分析仪对患者人体成分进行检查,包括体质量指数(body mass index, BMI)、体脂肪含量、体脂百分比资料,再根据人体成分中的去脂质量、肌肉质量、上肢肌肉质量、下肢肌肉质量分别计算去脂质量指数(fat free mass index, FFMI)、肌肉质量指数(muscle mass index, MMI)、上肢肌肉质量指数(upper limb muscle mass index, ULMMI)、下肢肌肉质量指数(lower limb muscle mass index, LLMMI)。应用单因素Logistic回归分析,对其与老年癌患者衰弱之间的关联性进行分析;并进行多因素Logistic回归分析,了解其是否为老年胃癌患者衰弱的独立影响因素,并绘制ROC曲线,评估其对老年胃癌患者发生衰弱的预测价值。 结果 (1)96例老年胃癌患者发生衰弱38例,发生率为39.58%。(2)衰弱组胃癌患者年龄、肿瘤的临床分期均高于非衰弱组(均P<0.05);(3)衰弱组患者体脂肪含量和体脂百分比高于非衰弱组,FFMI、MMI、LLMMI明显低于非衰弱组(均P<0.05)。(4)一般资料中年龄、肿瘤的分期Ⅲ期与Ⅳ期相对于分期Ⅰ期与老年胃癌患者发生衰弱存在着关联;人体成分中FFMI、MMI、LLMMI与老年胃癌患者衰弱呈负相关,体脂肪含量、体脂百分比与老年胃癌患者衰弱呈正相关。(5)校正年龄、肿瘤的临床分期后FFMI、MMI、LLMMI、体脂肪含量、体脂百分比是老年胃癌患者发生衰弱的独立影响因素。(6)ROC曲线结果显示,FFMI、MMI、LLMMI、体脂肪含量、体脂百分比的曲线下面积AUC分别为0.701、0.645、0.655、0.607、0.632。上述指标联合的曲线下面积AUC为0.833。 结论 老年胃癌患者中衰弱检出率较高。人体成分中的各独立组成部分联合诊断老年胃癌患者衰弱有一定的预测价值,能筛选出易发生衰弱的高危人群,为关注老年胃癌患者发生衰弱提供理论依据。

关键词: 老年, 胃癌, 衰弱, 人体成分, 危险因素

Abstract: Objective To investigate the correlation between frailty and body composition among elderly patients with gastric cancer, so as to evaluate the efficacy of body composition metrics in forecasting frailty among this demographic. Methods Ninety-six elderly patients with gastric cancer underwent pathological diagnosis at the Affiliated Hospital of Weifang Medical University between September 2021 and August 2023. Utilizing the Fried frailty phenotype(FP), these patients were categorized into either the frailty group or the non-frailty group. Demographic data including age, sex, smoking history, alcohol consumption history, cancer location, cancer stage, body mass index(BMI), body fat content, and body fat percentage were collected for both groups of patients. The fat-free mass index(FFMI), muscle mass index(MMI), upper limb muscle mass index(ULMMI), and lower limb muscle mass index(LLMMI)were computed using the collected data. Univariate Logistic regression analysis was conducted to examine the relationship between these indices and frailty among elderly cancer patients. Subsequently, multivariate Logistic regression analysis was employed to determine if these indices served as independent factors influencing frailty in elderly cancer patients. Additionally, a ROC curve was constructed to assess the predictive capability of these indices for frailty in elderly patients with gastric cancer. Results (1)A total of 96 elderly patients with gastric cancer were included. The incidence of frailty in elderly patients with gastric cancer was 39.58 %. (2)The age and clinical stage of gastric cancer in the frailty group were higher than those of the non-fraity group(all P<0.05 ). (3)Body fat content and body fat percentage in the frailty group were higher than those in the non-frailty group, and FFMI, MMI, and LLMMI were significantly lower than those in the non-frailty group(all P<0.05). (4)Comparison of general data between the two groups revealed that age and clinical stages 3 and 4 of the tumor were associated with the occurrence of frailty in elderly patients with gastric cancer compared to clinical stage 1. Regarding the comparison of body composition between the two groups, FFMI, MMI, and LLMM were inversely correlated with frailty in elderly patients with gastric cancer, while body fat content and body fat percentage showed a positive correlation with frailty in this demographic. (5)After adjusting for age and cancer clinical stage, FFMI, MMI, LLMMI, body fat content, and body fat percentage emerged as independent predictors of frailty in elderly patients with gastric cancer. (6)The ROC curve analysis revealed that the AUC values for FFMI, MMI, LLMMI, body fat content, and body fat percentage were 0.701, 0.645, 0.655, 0.607, and 0.632, respectively. The combined AUC for all these indicators was calculated to be 0.833. Conclusion The detection rate of frailty among elderly patients with gastric cancer is notably high. The amalgamation of independent components within the human body composition holds significant predictive value in diagnosing frailty in this demographic. This approach aids in identifying high-risk groups vulnerable to frailty, thereby offering a theoretical foundation for prioritizing attention to frailty among elderly patients with gastric cancer.

Key words: Elderly, Gastric cancer, Frailty, Human body composition, Risk factor

中图分类号: 

  • R573
[1] Bray F, Ferlay J, Soerjomataram I, et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries [J]. CA Cancer J Clin, 2018, 68(6): 394-424.
[2] 郑荣寿, 陈茹, 韩冰峰, 等. 2022年中国恶性肿瘤流行情况分析[J]. 中华肿瘤杂志, 2024, 46(3): 221-231. ZHENG Rongshou, CHEN Ru, HAN Bingfeng, et al. Cancer incidence and mortality in China, 2022[J]. Chinese Journal of Oncology, 2024, 46(3): 221-231.
[3] 郝文婷, 李洁, 景正月, 等. 衰弱在农村慢性病老年人睡眠质量与生活质量间的中介作用[J]. 山东大学学报(医学版), 2021, 59(2): 102-107. HAO Wenting, LI Jie, JING Zhengyue, et al. Physical frailty as a mediator between sleep quality and quality of life in rural elderly with chronic diseases in Shandong Province,China[J]. Journal of Shandong University(Health Science), 2021, 59(2): 102-107.
[4] Osaki T, Tatebe S, Orihara J, et al. Impact of frailty and sarcopenia on short- and long-term outcomes in elderly patients undergoing radical gastrectomy for gastric cancer [J]. World J Surg, 2023, 47(12): 3250-3261.
[5] Xu L, Zhang J, Shen S, et al. Association between body composition and frailty in elder inpatients [J]. Clin Interv Aging, 2020, 15: 313-320. doi: 10.2147/CIA.S243211.
[6] 缪雪怡, 丁玲玉, 陆金玲, 等. 衰弱亚型对老年胃癌患者不良结局的影响研究[J]. 中国全科医学, 2023, 26(8): 980-988. MIAO Xueyi, DING Lingyu, LU Jinling, et al. Preoperative frailty and postoperative adverse outcomes among elderly patients with gastric cancer[J]. Chinese General Practice, 2023, 26(8): 980-988.
[7] 中华人民共和国国家卫生健康委员会医政医管局. 胃癌诊疗指南(2022年版)[J]. 中华消化外科杂志, 2022,(9): 1137-1164. Bureau of Medical Administration, National Health Commission of the People's Republic of China. Standardization for diagnosis and treatment of gastric cancer(2022 edition)[J]. Chinese Journal of Digestive Surgery, 2022,(9): 1137-1164.
[8] Fried LP, Tangen CM, Walston J, et al. Frailty in older adults: evidence for a phenotype [J]. J Gerontol A Biol Sci Med Sci, 2001, 56(3): 146-156.
[9] 胡祥, 张驰. 第15版日本《胃癌处理规约》拔萃[J]. 中国实用外科杂志, 2018, 38(5): 520-528. HU Xiang, ZHANG Chi. Excerpt of Japanese Classification of Gastric Carcinoma(the 15th edition)[J]. Chinese Journal of Practical Surgery, 2018, 38(5): 520-528.
[10] 陕飞, 李子禹, 张连海, 等. 国际抗癌联盟及美国肿瘤联合会胃癌TNM分期系统(第8版)简介及解读[J]. 中国实用外科杂志, 2017, 37(1): 15-17. SHAN Fei, LI Ziyu, ZHANG Lianhai, et al. The Union for International Cancer Control(UICC)and the American Joint Committee on Cancer(AJCC)gastric cancer TNM staging system(8th edition)explanation and elaboration[J]. Chinese Journal of Practical Surgery, 2017, 37(1): 15-17.
[11] 高彩艳, 张树泽, 曹宏泰, 等. 肌少症在胃癌患者中的研究进展[J]. 中华普通外科学文献(电子版), 2022, 16(4): 302-307. GAO Caiyan, ZHANG Shuze, CAO Hongtai, et al. Advances in the study of sarcopenia among patients with gastric cancer[J]. Chinese Archives of General Surgery(Electronic Edition), 2022,16(4): 302-307.
[12] 王洪波, 宋素贞, 周成军, 等. 青年胃癌与老年胃癌临床、内镜、病理特点分析[J]. 山东大学学报(医学版), 2009, 47(10): 83-85,90. WANG Hongbo, SONG Suzhen, ZHOU Chengjun, et al. Clinicopathological and endoscopic characteristics of gastric carcinoma in young and elderly patients:a comparative study[J]. Journal of Shandong University(Health Science), 2009, 47(10): 83-85,90.
[13] Lu J, Zheng H L, Li P, et al. High preoperative modified frailty index has a negative impact on short- and long-term outcomes of octogenarians with gastric cancer after laparoscopic gastrectomy [J]. Surg Endosc, 2018, 32(5): 2193-2200.
[14] Kumagai K, Sano T. Revised points and disputed matters in the eighth edition of the TNM staging system for gastric cancer [J]. Jpn J Clin Oncol, 2021, 51(7): 1024-1027.
[15] Ponti F, Santoro A, Mercatelli D, et al. Aging and imaging assessment of body composition: from fat to facts [J]. Front Endocrinol(Lausanne), 2019, 10: 861. doi: 10.3389/fendo.2019.00861.
[16] Rolland Y, Czerwinski S, Abellan Van Kan G, et al. Sarcopenia: its assessment, etiology, pathogenesis, consequences and future perspectives [J]. J Nutr Health Aging, 2008, 12(7): 433-450.
[17] Alattas A, Nikolova S, Shuweihdi F, et al. The impact of long-term conditions on the progression of frailty[J]. PLoS One, 2023, 18(4): e0284011. doi: 10.1371/journal.pone.0284011.
[18] Merchant RA, Seetharaman S, Au L, et al. Relationship of fat mass index and fat free mass index with body mass index and association with function, cognition and sarcopenia in pre-frail older adults [J]. Frontiers Endocrinol, 2021, 12: 765415. doi: 10.3389/fendo.2021.765415.
[19] Spira D, Buchmann N, Nikolov J, et al. Association of low lean mass with frailty and physical performance: a comparison between two operational definitions of sarcopenia-data from the Berlin aging study II(BASE-II)[J]. J Gerontol A Biol Sci Med Sci, 2015, 70(6): 779-784.
[20] Sanchez-Rodriguez D, Marco E, Cruz-Jentoft AJ. Defining sarcopenia: some caveats and challenges [J]. Curr Opin Clin Nutr Metab Care, 2020, 23(2): 127-132.
[21] Proctor DN, Balagopal P, Nair KS. Age-related sarcopenia in humans is associated with reduced synthetic rates of specific muscle proteins [J]. J Nutr, 1998, 128(2 Suppl): 351s-355s.
[22] Berger MJ, Doherty TJ. Sarcopenia: prevalence, mechanisms, and functional consequences [J]. Interdiscip Top Gerontol, 2010, 37: 94-114. doi: 10.1159/000319997.
[23] Williams GR, Deal AM, Muss HB, et al. Frailty and skeletal muscle in older adults with cancer [J]. J Geriatr Oncol, 2018, 9(1): 68-73.
[24] Chan KS, Chan YM, Chin YS, et al. Dietary quality, sleep quality and muscle mass predicted frailty among chinese postmenopausal women in malaysia [J]. Int J Environ Res Public Health, 2022, 19(5): 2565.
[25] 毛盈颖, 俞飞, 汪天培, 等. 体脂含量与胃癌发生的孟德尔随机化研究[J]. 浙江中医药大学学报, 2018, 42(5): 333-338. MAO Yingying, YU Fei, WANG Tianpei, et al. Body fat percentage and risk of gastric cancer-a mendelian randomization study[J]. Journal of Zhejiang Chinese Medical University, 2018, 42(5): 333-338.
[26] Cartwright MJ, Tchkonia T, Kirkland JL. Aging in adipocytes: potential impact of inherent, depot-specific mechanisms [J]. Exp Gerontol, 2007, 42(6): 463-471.
[27] Nishikawa H, Asai A, Fukunishi S, et al. Metabolic syndrome and sarcopenia [J]. Nutrients, 2021, 13(10): 3519.
[28] Das M, Webster NJG. Obesity, cancer risk, and time-restricted eating [J]. Cancer Metastasis Rev, 2022, 41(3): 697-717.
[29] Donini LM, Busetto L, Bischoff SC, et al. Definition and diagnostic criteria for sarcopenic obesity: ESPEN and EASO consensus statement [J]. Obes Facts, 2022, 15(3): 321-335.
[30] Polyzos SA, Margioris AN. Sarcopenic obesity [J]. Hormones(Athens), 2018, 17(3): 321-331.
[31] Jarosz PA, Bellar A. Sarcopenic obesity: an emerging cause of frailty in older adults [J]. Geriatr Nurs(New York, NY), 2009, 30(1): 64-70.
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