Risk prediction model construction of concurrent sarcopenia in lung cancer patients

ZHANG Haonan; HAN Yuanfeng; XIA Liuqin; YE Weiguo

doi:10.16766/j.cnki.issn.1674-4152.004164

Volume 23 Issue 9

Sep. 2025

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Article Navigation > Chinese Journal of General Practice > 2025 > 23(9): 1499-1501

ZHANG Haonan, HAN Yuanfeng, XIA Liuqin, YE Weiguo. Risk prediction model construction of concurrent sarcopenia in lung cancer patients[J]. Chinese Journal of General Practice, 2025, 23(9): 1499-1501. doi: 10.16766/j.cnki.issn.1674-4152.004164

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ZHANG Haonan, HAN Yuanfeng, XIA Liuqin, YE Weiguo. Risk prediction model construction of concurrent sarcopenia in lung cancer patients[J]. Chinese Journal of General Practice, 2025, 23(9): 1499-1501. doi: 10.16766/j.cnki.issn.1674-4152.004164

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Risk prediction model construction of concurrent sarcopenia in lung cancer patients

doi: 10.16766/j.cnki.issn.1674-4152.004164

ZHANG Haonan^{1, 2}
, HAN Yuanfeng^{1, 2
,
,}
, XIA Liuqin²
, YE Weiguo²

1.
The Fourth Clinical Medical College of Zhejiang Traditional Chinese Medicine University, Hangzhou, Zhejiang 310053, China

Funds:

2023KY925

Received Date: 2024-12-08
Available Online: 2025-11-17

Abstract

Abstract

Objective To explore the factors influencing sarcopenia in patients with lung cancer, develop a risk prediction model, and provide reference for preventing or delaying the progress of sarcopenia. Methods From January 2023 to October 2024, 285 patients with lung cancer at Hangzhou First People ' s Hospital were selected as the research objects. Data were collected using a general information questionnaire, improved version of sarcopenia questionnaire, mini-simple nutrition assessment form, and international physical activity questionnaire. According to the diagnosis results of sarcopenia, the patients were divided into a sarcopenia group (119 cases) and a non-sarcopenia group (166 cases). The factors influencing sarcopenia in lung cancer patients were analyzed by univariate and multivariate logistic regression, and the risk prediction model of sarcopenia was established by using R software. Results The incidence of sarcopenia was 41.75% (119/285). The proportion of age≥60 years old, female sex, BMI < 24.0, smoking history, diabetes, sleep duration < 6 hours, malnutrition, and low level of physical activity in the sarcopenia group was higher than those in the non-sarcopenia group (P < 0.05), respectively. Charson comorbidity index score was higher than that of the non-sarcopenia group (P < 0.05). Logistic regression analysis showed that age, smoking history, Charson comorbidity index, nutritional status, and physical activity level were the factors influencing sarcopenia in lung cancer patients (P < 0.05). The area under receiver operating characteristic curve (ROC) was 0.922 (95% CI: 0.897-0.951), and the goodness of fit test showed good model fit (χ²=1.178, P=0.556). Conclusion The developed risk prediction model demonstrates high accuracy and clinical utility for early identification of sarcopenia in lung cancer patients, enabling targeted prevention and management strategies.
- Lung cancer,
- Muscle atrophy,
- Influencing factors,
- Forecasting model

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References(21)

References

[1]	KIRK B, CAWTHON P M, ARAI H, et al. The conceptual definition of sarcopenia: Delphi consensus from the Global Leadership Initiative in Sarcopenia (GLIS)[J]. Age Ageing, 2024, 53(3): 52-55.
[2]	宋春花, 程好晴, 崔久嵬, 等. 中国肿瘤住院患者肌肉减少症调查报告[J]. 肿瘤代谢与营养电子杂志, 2024, 11(5): 638-650. SONG C H, CHENG H Q, CUI J W, et al. The prevalence of sarcopenia in hospitalized cancer patients in China[J]. Electronic Journal of Tumor Metabolism and Nutrition, 2024, 11(5): 638-650.
[3]	YANG M, SHEN Y, TAN L, et al. Prognostic value of sarcopenia in lung cancer: a systematic review and meta-analysis[J]. Chest, 2019, 156(1): 101-111.
[4]	XIA L, ZHAO R, WAN Q, et al. Sarcopenia and adverse health-related outcomes: an umbrella review of meta-analyses of observational studies[J]. Cancer med, 2023, 9(21): 7964-7978.
[5]	张浩, 杨新官, 何涌. 肌少症与晚期非小细胞肺癌临床病理特征及预后的相关性分析[J]. 实用肿瘤学杂志, 2022, 36(3): 214-219. ZHANG H, YANG X G, HE Y. Analysis of the correlation between sarcopenia and the clinicopathological characteristics prognosis of advanced NSCLC[J]. Practical Oncology Journal, 2022, 36(3): 214-219.
[6]	马娟, 侯彦杰, 黎妲, 等. 肿瘤患者肌少症的危险因素分析及模型建立[J]. 现代肿瘤医学, 2024, 32(10): 1877-1881. MA J, HOU Y J, LI D, et al. Risk factors analysis and model establishment of sarcopenia in tumor patients[J]. Journal of Modern Oncology, 2024, 32(10): 1877-1881.
[7]	FU X, TIAN Z, THAPA S, et al. Comparing SARC-F with SARC-CalF for screening sarcopenia in advanced cancer patients[J]. Clin Nutr, 2020, 39(11): 3337-3345.
[8]	张欢欢. 社区老年人营养评价量表的改良与信效度评价[D]. 济南: 山东大学, 2017. ZHANG H H. Improvement and reliability validity evaluation of the nutrition evaluation scale for community elderly[D]. Jinan: Shandong University, 2017.
[9]	屈宁宁, 李可基. 国际体力活动问卷中文版的信度和效度研究[J]. 中华流行病学杂志, 2004, 25(3): 265-268. QU N N, LI K J. Study on the reliability and validity of international physical activity questionnaire (Chinese Vision, IPAQ)[J]. Chinese Journal of Epidemiology, 2004, 25(3): 265-268.
[10]	崔云亮, 王涛, 吴相伟, 等. 查尔森合并症指数评分系统评价基础疾病对危重患者预后的影响[J]. 中华危重病急救医学, 2013, 25(2): 115-118. CUI Y L, WANG T, WU X W, et al. The use of Charlson weighted index of comorbidities scoring system to evaluate the impact of original diseases for prognosis in intensive care unit patients[J]. Chinese Critical Care Medicine, 2013, 25(2): 115-118.
[11]	LIN T Y, CHEN Y F, WU W T, et al. Impact of sarcopenia on the prognosis and treatment of lung cancer: an umbrella review[J]. Discov Oncol, 2022, 13(1): 115. DOI: 10.1007/s12672-022-00576-0.
[12]	张莹, 孙淑凤, 朱永健. 结直肠癌相关肌肉减少症的研究进展[J]. 青岛大学学报(医学版), 2023, 59(1): 151-154. ZHANG Y, SUN S F, ZHU Y J. Research advances in sarcopenia in patients with coloerctal cancer[J]. Journal of QingDao University(Medical Sciences), 2023, 59(1): 151-154.
[13]	韩晓丽, 任莉萍, 杜湘琳. 乌鲁木齐老年人群肌肉衰减综合征与膳食营养素摄入水平相关性[J]. 中国老年学杂志, 2023, 43(4): 976-980. HAN X L, REN L P, DU X L. Correlation between muscle attenuation syndrome and dietary nutrient intake level in the elderly population of Urumqi[J]. Chinese Journal of Gerontology, 2023, 43(4): 976-980.
[14]	李峥, 刘冰, 凌瑞杰, 等. 吸烟与肌肉骨骼疾患的关联性[J]. 中国工业医学杂志, 2023, 36(4): 296-301. LI Z, LIU B, LING R J, et al. Association of smoking and musculoskeletal disorders[J]. Chinese Journal of Industrial Medicine, 2023, 36(4): 296-301.
[15]	李周华, 季爽, 胡先纬, 等. 肺癌患者并发肌肉减少症的危险因素分析及其与临床预后的相关性探讨[J]. 中国全科医学, 2021, 24(26): 3310-3315, 3322. LI Z H, JI S, HU X W, et al. Analysis of risk factors for concurrent sarcopenia in lung cancer patients and its correlation with clinical prognosis[J]. Chinese General Practice, 2021, 24(26): 3310-3315, 3322.
[16]	张静, 曾星, 王先瑜. 营养风险指数与老年胃癌根治术后肌少症的相关性分析[J]. 中华保健医学杂志, 2024, 26(5): 593-596. ZHANG J, ZENG X, WANG X Y. Correlation analysis of nutritional risk index and sarcopenia after radical gastric cancer in the elderly[J]. Chinese Journal of Health Care Medicine, 2024, 26(5): 593-596.
[17]	谢明慧, 梁冰, 金国玺, 等. 老年2型糖尿病合并营养不良患者与肌少症高风险的影响因素分析[J]. 中华全科医学, 2025, 23(1): 65-68, 121. doi: 10.16766/j.cnki.issn.1674-4152.003334 XIE M H, LIANG B, JIN G X, et al. Analysis of influencing factors of elderly malnutrition with type 2 diabetes with high risk of sarcopenia[J]. Chinese Journal of General Practice, 2025, 23(1): 65-68, 121. doi: 10.16766/j.cnki.issn.1674-4152.003334
[18]	张泽正, 卞爱琳. 共病对老年住院患者肌肉功能的影响[J]. 中华全科医学, 2024, 22(1): 50-54. doi: 10.16766/j.cnki.issn.1674-4152.003329 ZHANG Z Z, BIAN A L. Effect of comorbidities on muscle function in elderly hospitalized patients[J]. Chinese Journal of General Practice, 2024, 22(1): 50-54. doi: 10.16766/j.cnki.issn.1674-4152.003329
[19]	COSTAMAGNA D, DUELEN R, PENNA F, et al. Interleukin-4 administration improves muscle function, adult myogenesis, and lifespan of coloncarcinoma-bearing mice[J]. J Cachexia Sarcopenia Muscle, 2020, 11(3): 783-801.
[20]	罗旺辉, 魏琳, 梁好, 等. 基于队列研究社区老年肌少症发病率及危险因素的Meta分析[J]. 中国骨质疏松杂志, 2022, 28(3): 426-433. LUO W H, WEI L, LIANG H, et al. Incidence and risk factors of sarcopenia in the elderly in community: A meta-analysis based on cohort studies[J]. Chinese Journal of Osteoporosis, 2022, 28(3): 426-433.
[21]	敖玉培, 冯旭, 胡怀东. 各种干预措施对肌少症患者炎症因子影响的meta分析[J]. 现代医药卫生, 2023, 39(1): 2065-2069, 2074. AO Y P, FENG X, HU H D. Effects of various interventions on inflammatory cytokines in patients with sarcopenia: A meta-analysis[J]. Journal of Modern Medicine & Health, 2023, 39(1): 2065-2069, 2074.

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Risk prediction model construction of concurrent sarcopenia in lung cancer patients

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