Volume 24 Issue 2
Feb.  2026
Turn off MathJax
Article Contents
Article Navigation >  Chinese Journal of General Practice  > 2026  >  24(2): 217-220
ZHOU Yuling, CHEN Jixiang, JING Yu, WU Haiqin, ZHOU Min, SHI Wenyan, FAN Xin. Heterogeneous frailty trajectory and prognostic analysis in elderly gastric cancer survivors[J]. Chinese Journal of General Practice, 2026, 24(2): 217-220. doi: 10.16766/j.cnki.issn.1674-4152.004364
Citation: ZHOU Yuling, CHEN Jixiang, JING Yu, WU Haiqin, ZHOU Min, SHI Wenyan, FAN Xin. Heterogeneous frailty trajectory and prognostic analysis in elderly gastric cancer survivors[J]. Chinese Journal of General Practice, 2026, 24(2): 217-220. doi: 10.16766/j.cnki.issn.1674-4152.004364
shu

Heterogeneous frailty trajectory and prognostic analysis in elderly gastric cancer survivors

doi: 10.16766/j.cnki.issn.1674-4152.004364
  • 1.

    Department of Gastrointestinal Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212000, China

Funds:

 LKZ2023012

 QNRC2016839

 SS2023011

  • Received Date: 2025-02-07
    Available Online: 2026-04-11
    Abstract
  •   Objective  To explore the heterogeneous frailty trajectories among older survivors of gastric cancer and to examine their influencing factors and prognostic significance.  Methods  A total of 488 elderly gastric cancer patients admitted to our hospital between June 2020 and June 2022 were selected. Patients ' frailty was assessed by Tilburg frailty indicator (TFI) at hospital admission and at 1, 3, 6, 9, and 12 months after surgery. Growth mixture modeling (GMM) was used to identify distinct frailty trajectory subtypes. Multifactorial logistic regression was used to analyze the factors associated with different frailty trajectory subtypes. Kaplan-Meier survival curves were used to analyze the relationship between different frailty trajectory subtypes and overall patient survival.  Results  The GMM model identified three subtypes of frailty trajectories: 252 cases (51.6%) of low-degree declining frailty, 124 cases (25.4%) of medium-degree stable frailty, and 112 cases (23.0%) of medium-degree increasing frailty. Multivariate logistic regression analysis showed that age, diabetes, anemia, marital status, individual monthly income, and mini-nutritional assessment short-form (MNS-SF) score were independent predictors of moderate-degree stable frailty (P < 0.05). Age, diabetes, family caregiver, individual monthly income, MNS-SF score, and social support rating scale (SSRS) score were independently associated with the moderate-degree increasing frailty (P < 0.05). Overall survival rate was higher in the low-degree declining frailty than that in the moderate-degree stable frailty and moderate-degree increasing frailty (P < 0.05). Overall survival was higher in the moderate-degree stable frailty than that in the moderate-degree increasing frailty (P < 0.05).  Conclusion  Elderly gastric cancer survivors exhibit three frailty trajectory subtypes after surgery. These trajectory subtypes are influenced by different clinical and social factors and are closely associated with prognosis.

     

    • FullText(HTML)
  • loading
    • References(23)
  • [1]
    赵萌, 夏勇生, 王子良, 等. ALDH8A1在胃癌组织中的表达及其临床意义[J]. 中华全科医学, 2024, 22(7): 1129-1132, 1255. doi: 10.16766/j.cnki.issn.1674-4152.003582

    ZHAO M, XIA Y S, WANG Z L, et al. Expression and clinical significance of ALDH8A1 in gastric cancer tissues[J]. Chinese Journal of General Practice, 2024, 22(7): 1129-1132, 1255. doi: 10.16766/j.cnki.issn.1674-4152.003582
    [2]
    MACHLOWSKA J, BAJ J, SITARZ M, et al. Gastric cancer: epidemiology, risk factors, classification, genomic characteristics and treatment strategies[J]. Int J Mol Sci, 2020, 21(11): 4012. DOI: 10.3390/ijms21114012.
    [3]
    MIAO X, GUO Y, DING L, et al. A dynamic online nomogram for predicting the heterogeneity trajectories of frailty among elderly gastric cancer survivors[J]. Int J Nurs Stud, 2024, 153: 104716. DOI: 10.1016/j.ijnurstu.2024.104716.
    [4]
    LIM H S, LEE B, CHO I, et al. Nutritional and clinical factors affecting weight and fat-free mass loss after gastrectomy in patients with gastric cancer[J]. Nutrients, 2020, 12(7): 1905. DOI: 10.3390/nu12071905.
    [5]
    DOODY P, LORD J M, GREIG C A, et al. Frailty: pathophysiology, theoretical and operational definition(s), impact, prevalence, management and prevention, in an increasingly economically developed and ageing world[J]. Gerontology, 2023, 69(8): 927-945. doi: 10.1159/000528561
    [6]
    程连, 阮金婷, 梁镭, 等. 衰弱评估工具在基层医疗中的应用现状[J]. 中华全科医学, 2024, 22(3): 486-490. doi: 10.16766/j.cnki.issn.1674-4152.003432

    CHENG L, RUAN J T, LIANG L, et al. Application status of frailty assessment tools in primary care[J]. Chinese Journal of General Practice, 2024, 22(3): 486-490. doi: 10.16766/j.cnki.issn.1674-4152.003432
    [7]
    SUN Y, TIAN Y, CAO S, et al. Multimodal prehabilitation to improve the clinical outcomes of frail elderly patients with gastric cancer: a study protocol for a multicentre randomised controlled trial (GISSG+2201)[J]. BMJ Open, 2023, 13(10): e071714. DOI: 10.1136/bmjopen-2023-071714.
    [8]
    DING L, MIAO X, LU J, et al. Comparing the performance of different instruments for diagnosing frailty and predicting adverse outcomes among elderly patients with gastric cancer[J]. J Nutr Health Aging, 2021, 25(10): 1241-1247. doi: 10.1007/s12603-021-1701-8
    [9]
    DING L, MIAO X, JIANG X, et al. Adverse outcomes and health-ecological influencing factors of preoperative frailty among elderly patients with gastric cancer[J]. J Cancer Res Clin Oncol, 2023, 149(10): 7043-7051. doi: 10.1007/s00432-023-04651-z
    [10]
    NISHI M, WADA Y, YOSHIKAWA K, et al. Prognostic impact of frailty after gastrectomy in elderly gastric cancer patients[J]. J Med Invest, 2023, 70(3.4): 423-429. doi: 10.2152/jmi.70.423
    [11]
    TAN Z K, TANG W Z, JIA K, et al. Relation between frailty and adverse outcomes in elderly patients with gastric cancer: a scoping review[J]. Ann Med Surg(Lond), 2024, 86(3): 1590-1600. doi: 10.1097/MS9.0000000000001817
    [12]
    JEONG J R, CHOI J W, RYU S Y, et al. Relationship between frailty and mortality after gastrectomy in older patients with gastric cancer[J]. J Geriatr Oncol, 2022, 13(1): 67-73. doi: 10.1016/j.jgo.2021.06.010
    [13]
    SAHIN E, SAHIN K, ULUTAS M E, et al. Calculation of the frailty index and precautions for elderly patients undergoing gastrointestinal cancer surgery[J]. Cureus, 2025, 17(1): e78097. DOI: 10.7759/cureus.78097.
    [14]
    丁玲玉, 蒋小曼, 缪雪怡, 等. 健康生态学视角下老年胃癌患者术前衰弱感知影响因素的质性研究[J]. 中国全科医学, 2023, 26(8): 972-979.

    DING L Y, JIANG X M, LIAO X Y, et al. Perceived influencing factors of preoperative frailty among elderly patients with gastric cancer from the perspective of health ecology: a qualitative study[J]. Chinese General Practice, 2023, 26(8): 972-979.
    [15]
    SHI J, TAO Y, WANG L, et al. Combined effect of diabetes and frailty on mortality among Chinese older adults: a follow-up study[J]. Front Endocrinol(Lausanne), 2023, 13: 1105957. DOI: 10.3389/fendo.2022.1105957.
    [16]
    DÜZGÜN G, ÜSTÜNDAǦ S, KARADAKOVAN A. Assessment of frailty in the elderly[J]. Florence Nightingale J Nurs, 2021, 29(1): 2-8. doi: 10.5152/FNJN.2021.414736
    [17]
    HAN D, WANG S K, CUI P, et al. Preoperative nutritional status screened by mna-sf predicts major complications in elderly patients undergoing lumbar fusion surgery[J]. Clin Interv Aging, 2024, 19: 2031-2042. doi: 10.2147/CIA.S481610
    [18]
    ZHANG Q, YU S, LI Q, et al. Preoperative nutritional status in elderly inpatients with gastrointestinal cancer and its linear association with frailty[J]. Nutr Cancer, 2022, 74(4): 1376-1387. doi: 10.1080/01635581.2021.1955284
    [19]
    LEE C T, CHEN M Z, YIP C Y C, et al. Prevalence of anemia and its association with frailty, physical function and cognition in community-dwelling older adults: findings from the HOPE study[J]. J Nutr Health Aging, 2021, 25(5): 679-687. doi: 10.1007/s12603-021-1625-3
    [20]
    彭心雨, 宋明方, 张婉, 等. 社区老年人社会衰弱现状及影响因素[J]. 护理研究, 2021, 35(19): 3401-3406.

    PENG X Y, SONG M F, ZHANG W, et al. Status quo and influencing factors of social frailty for the elderly in community[J]. Chinese Nursing Research, 2021, 35(19): 3401-3406.
    [21]
    张圆圆, 张馨月, 陈长香. 不同年龄和衰弱状态下社区老年人身心健康轨迹分析[J]. 重庆医学, 2021, 50(18): 3194-3199.

    ZHANG Y Y, ZHANG X Y, CHEN C X. Analysis of the developmental trajectory of physical and mental health of the elderly in different age stages and frailty state in urban communities[J]. Chongqing Medicine, 2021, 50(18): 3194-3199.
    [22]
    徐萍, 刘燕玲. 南昌市社区居家老年人衰弱现状与家庭主要照顾者负担的相关性研究[J]. 护理研究, 2022, 36(10): 1791-1797.

    XU P, LIU Y L. Study on correlation between frailty in community home elderly and burden in main family caregivers in Nanchang city[J]. Chinese Nursing Research, 2022, 36(10): 1791-1797.
    [23]
    刘兰, 马文. 六盘水市社区老年衰弱的发生现状及其影响因素[J]. 贵州医科大学学报, 2024, 49(10): 1477-1483.

    LIU L, MA W. Study on the situation of senile frailty and its influencing factors in Liupanshui communities[J]. Journal of Guizhou Medical University, 2024, 49(10): 1477-1483.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(2)  / Tables(4)

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (6) PDF downloads(0) Cited by()
    Proportional views
    Related

    Address：No. 287, Changhuai Road, Bengbu, Anhui Province, 233004, P.R.ChinaphoneNo：0552-3066635； 0552-3051890Email：zhqkyx@163.com

    Copyright © Chinese Journal of General Practice皖ICP备2020018345号-2

    Supported by: Beijing Renhe Information Technology Co., Ltd.    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return