主管:国家卫生健康委员会
主办:国家卫生健康委医院管理研究所
中国科技核心期刊(中国科技论文统计源期刊)
中国科学引文数据库(CSCD)核心库期刊
《中文核心期刊要目总览》核心期刊

中国护理管理 ›› 2026, Vol. 26 ›› Issue (2): 217-221.doi: 10.3969/j.issn.1672-1756.2026.02.011

• 老年护理服务能力提升专题 • 上一篇    下一篇

老年结直肠癌患者术后衰弱的发展轨迹及影响因素研究

敬文丹 吴岫霏 李霜 王诗雨 尤朝香 寇红艳 肖冰冰   

  1. 川北医学院附属医院文化路院区外一科,637000 四川省南充市(敬文丹);川北医学院护理学院(吴岫霏,王诗雨,肖冰冰); 川北医学院附属医院消化内科(李霜);胃肠外一科(寇红艳);德阳市人民医院胃肠外科(尤朝香)
  • 出版日期:2026-02-15 发布日期:2026-02-15
  • 通讯作者: 寇红艳,本科,主任护师,护士长,E-mail:546288545@qq.com
  • 作者简介:敬文丹,硕士,副主任护师,护士长
  • 基金资助:
    四川省基层卫生事业发展研究中心2023年科研项目(SWFZ23-Y-29)

Developmental trajectory and influencing factors of frailty in elderly patients after colorectal cancer surgery

JING Wendan, WU Xiufei, LI Shuang, WANG Shiyu, YOU Chaoxiang, KOU Hongyan, XIAO Bingbing   

  1. Department of External Medicine 1, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan province, 637000, China
  • Online:2026-02-15 Published:2026-02-15
  • Contact: E-mail:546288545@qq.com

摘要: 目的:识别老年结直肠癌患者术后衰弱发展轨迹并分析其影响因素,为开展干预提供依据。方法:采用便利抽样法,选取2024年2月—7月在四川省某三级甲等医院胃肠外科行结直肠癌根治术的268例老年患者为研究对象,于手术出院前1天、术后1个月、术后3个月、术后6个月评估其衰弱水平。构建潜类别增长模型识别其轨迹类别,采用无序多分类Logistic回归分析影响因素。结果:共231例患者完成4次调查,拟合出“高水平缓慢上升型”(22.1%)、“中水平波动型”(61.0%)、“低水平持续上升型”(16.9%)3种发展轨迹。回归分析结果显示,年龄、性别、婚姻状况、住院费用、原发肿瘤分期、造口、自我感知老化得分、营养风险筛查得分是衰弱发展轨迹的影响因素(均P<0.05)。结论:老年结直肠癌患者术后衰弱存在3种发展轨迹,医护人员应依据影响因素为患者开展衰弱干预。

关键词: 结直肠癌;老年;衰弱;影响因素;潜类别增长模型

Abstract: Objective: To identify the developmental trajectories of frailty in elderly postoperative colorectal cancer patients and analyze the influencing factors, aiming to provide a basis for the development of interventions. Methods: Convenience sampling was employed to select 268 elderly colorectal cancer patients undergoing radical resection surgery at a tertiary grade A hospital's gastrointestinal surgery department in Sichuan province from February to July, 2024. Patients' frailty level were assessed at 1 day before discharge, 1 month post-surgery, 3 months post-surgery, and 6 months post-surgery, respectively. The Latent Class Growth Model was constructed to identify the trajectory categories, with unordered multinomial Logistic regression analysis used to examine the influencing factors. Results: A total of 231 elderly patients with colorectal cancer completed four surveys. Three distinct progression trajectories were identified: "high-level slow ascent group" (22.1%), "moderate-level fluctuation group" (61.0%), and "low-level sustained ascent group" (16.9%). Regression analysis results revealed that age, gender, marital status, hospitalization costs, primary tumor stage, stoma, self-reported aging scores, and nutritional risk screening scores were significant predictors of frailty trajectories (P<0.05). Conclusion: Three distinct frailty trajectories exist in elderly postoperative colorectal cancer patients. Medical professionals are supposed to utilize these influencing factors to guide precision intervention strategies for frailty management.

Key words: colorectal cancer; elderly; frailty; influencing factor; Latent Class Growth Model

中图分类号:  R47;R197