临床外科杂志 ›› 2026, Vol. 34 ›› Issue (9): 1029-1033.doi: 10.3969/j.issn.1005-6483.20260084

• 论著 • 上一篇    下一篇

老年结直肠癌根治术患者术后谵妄发生率及危险因素调查

曹楠 尹瑞 刘春梅 葛经武   

  1. 210000 江苏南京,南京医科大学第一附属医院麻醉与围术期医学科
  • 收稿日期:2026-01-28 出版日期:2026-09-20 发布日期:2026-09-20
  • 通讯作者: 葛经武,Email:jsgjw2009@163.com

Investigation on the incidence and risk factors of postoperative delirium in elderly patients undergoing radical resection of colorectal cancer

CAO Nan,YIN Rui,LIU Chunmei,GE Jingwu   

  1. Department of Anesthesiology and Perioperative Medicine, the First Affiliated Hospital with Nanjing Medical University, Nanjing 210000, China
  • Received:2026-01-28 Online:2026-09-20 Published:2026-09-20

摘要: 目的 调查老年结直肠癌根治术病人术后谵妄发生情况,分析其相关危险因素。方法 2024年6月~2025年10月择期行结直肠癌根治术的老年病人267例,根据术后3天内是否发生谵妄分为谵妄组和非谵妄组。多因素Logistic回归分析确定独立相关因素;构建回归预测模型,绘制该模型的受试者工作特征(ROC)曲线,通过曲线下面积(AUC)评估其鉴别能力,内部验证采用Bootstrap法,采用一致性指数评估模型区分度,采用校准图评估校准度,临床决策曲线评价模型的临床实用性。结果 老年结直肠癌根治术病人术后3天内谵妄发生率为16.10%(43/267)。多因素Logistic回归分析结果 显示,术前5项改良衰弱指数(mFI-5)、术前C反应蛋白/白蛋白比值、术中低体温、麻醉时间是老年结直肠癌根治术病人术后谵妄的独立危险因素(P<0.05)。根据上述因素建立Logistic回归预测模型,Logit(P)=-16.152+0.991×术前mFI-5评分(≥2分=1,<2分=0)+0.257×术前C反应蛋白/白蛋白比值(%)+1.225×术中低体温(否=0,是=1)+0.022×麻醉时间(min)。ROC曲线分析结果 显示,该模型预测老年结直肠癌根治术病人术后发生谵妄的AUC为0.908。Bootstrap法获得模型内部验证后的C-index指数为0.917。校准曲线显示,理想概率曲线和实际概率曲线吻合度较高,平均绝对误差为0.039。决策曲线显示,阈值概率在0.1~0.9时,临床效益较高。结论 老年结直肠癌根治术病人术后谵妄发生率较高,术后谵妄发生与术前衰弱、C反应蛋白/白蛋白比值、术中低体温、麻醉时间有关,据此构建的回归预测模型预测价值较好。

关键词: 结直肠癌; 老年; 术后谵妄; 危险因素

Abstract: Objective To investigate the occurrence of postoperative delirium in elderly patients undergoing radical resection of colorectal cancer and analyze its related risk factors.Methods A retrospective study was conducted involving 267 elderly patients who underwent elective radical resection for colorectal cancer at our hospital from June 2024 to October 2025.According to whether delirium occurred within 3 days after surgery, the patients were divided into a delirium group and a non-delirium group.Multivariate Logistic regression analysis was used to determine independent related factors.A regression prediction model was constructed.Receiver operating characteristic (ROC) curve of this model was drawn, and its discriminative ability was evaluated by area under the curve.Internal validation was performed using Bootstrap method.Concordance index was used to evaluate model discrimination, calibration plot was used to evaluate calibration, and clinical decision curve was used to evaluate the clinical practicability of the model.Results The incidence of delirium within 3 days after surgery in elderly patients undergoing radical resection of colorectal cancer was 16.10% (43/267).Multivariate Logistic regression analysis showed that preoperative modified Frailty Index-5 (mFI-5), preoperative C-reactive protein/albumin ratio, intraoperative hypothermia, and anesthesia time were independent risk factors for postoperative delirium in elderly patients undergoing radical resection of colorectal cancer (P<0.05).A Logistic regression prediction model was established based on the above factors: Logit(P) =-16.152+0.991×preoperative mFI-5 score(≥2 points=1, <2 points=0)+0.257×preoperative C-reactive protein/albumin ratio (%) + 1.225 × intraoperative hypothermia (no=0, yes=1)+0.022×anesthesia duration (min).The ROC curve demonstrates that the model achieves an area under the curve (AUC) of 0.908 for predicting the incidence of postoperative delirium in elderly patients undergoing radical resection for colorectal cancer.The C-index after internal validation of the model obtained by Bootstrap method was 0.917.Calibration curve showed high consistency between the ideal probability curve and the actual probability curve, with a mean absolute error of 0.039.Decision curve showed that when the threshold probability was 0.1-0.9, clinical benefit was high.Conclusion The incidence of postoperative delirium is high in elderly patients undergoing radical resection of colorectal cancer.The occurrence of postoperative delirium is related to preoperative frailty, C-reactive protein/albumin ratio, intraoperative hypothermia, and anesthesia time.The regression prediction model constructed accordingly has good predictive value.

Key words: colorectal cancer; elderly; postoperative delirium; risk factors

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