主管:国家卫生健康委员会
主办:国家卫生计生委医院管理研究所
中国科学引文数据库(CSCD)来源期刊
中国科技论文统计源期刊 中国科技核心期刊
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Chinese Nursing Management ›› 2026, Vol. 26 ›› Issue (2): 217-221.doi: 10.3969/j.issn.1672-1756.2026.02.011

• Topical Issues • Previous Articles     Next Articles

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

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

CLC Number: R47;R197