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 ›› 2025, Vol. 25 ›› Issue (9): 1338-1343.doi: 10.3969/j.issn.1672-1756.2025.09.011

• 论著 • 上一篇    下一篇

肝切除术患者术后急性疼痛的风险预测模型构建及验证

陈刘慧 李雪艳   

  1. 温州医科大学附属第一医院肝胆胰外科,325000 浙江省温州市
  • 出版日期:2025-09-15 发布日期:2025-09-15
  • 通讯作者: 李雪艳,硕士,副主任护师,护士长,E-mail:75871138@qq.com
  • 作者简介:陈刘慧,本科,护师
  • 基金资助:
    温州市科技局基础性公益科研项目(Y2023620)

Development and validation of a risk prediction model for Acute Postsurgical Pain in patients after hepatectomy

CHEN Liuhui, LI Xueyan   

  1. Department of Hepatobiliary Pancreatic Surgery, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang province, 325000, China
  • Online:2025-09-15 Published:2025-09-15
  • Contact: E-mail:75871138@qq.com

摘要: 目的:构建肝切除术患者术后急性疼痛的风险预测模型,验证该模型的预测效果,为肝切除术患者术后急性疼痛管理提供参考。方法:便利选取温州市某三级甲等医院2019年1月至2023年12月收治的477例肝切除术患者为研究对象。按2∶1分为训练集(n=318)及验证集(n=159),采用多因素Logistic回归分析患者术后急性疼痛的危险因素,建立预测模型并绘制列线图,采用验证集数据及Bootstrap法校正进行模型内部验证,便利选取2024年1月—5月收治的200例患者进行模型外部验证。结果:回归分析结果显示,年龄、既往手术史、术前慢性疼痛、手术方式、手术时长是肝切除术患者发生术后急性疼痛的危险因素。训练集模型受试者工作特征曲线下面积(Area Under the Curve of ROC,AUC)为0.764,灵敏度为80.1%,特异度为58.6%,Bootstrap法校正模型AUC为0.765,灵敏度为76.9%,特异度为65.5%。训练集Hosmer-Lemeshow检验结果显示,χ2=9.830,P=0.277。验证集AUC为0.785,灵敏度为77.1%,特异度为66.2%。验证集Hosmer-Lemeshow检验结果显示,χ2=3.399,P=0.907。外部验证校正后数据集AUC为0.709,灵敏度为76.5%,特异度为58.7%。Hosmer-Lemeshow检验结果显示,χ2=7.590,P=0.475。结论:本研究构建的风险预测模型效能良好,可为临床医护人员早期预测肝切除术患者术后急性疼痛提供参考。

关键词: 术后急性疼痛;肝切除术;风险预测模型;风险因素

Abstract: Objective: To construct and validate a risk prediction model for Acute Postsurgical Pain in patients after hepatectomy, so as to provide a reference for the management of Acute Postsurgical Pain in patients after hepatectomy. Methods: The data of 477 patients undergoing hepatectomy admitted to a tertiary grade A hospital in Wenzhou from January 2019 to December 2023 were retrospectively analyzed, and they were devided into a training set (n=318) and a validation set (n=159) at a ratio of 2?:?1. The risk factors of Acute Postsurgical Pain were examined by multivariate Logistic regression analysis. A predictive model and nomogram were respectively established. The internal validation of the model was performed using the validation set and the Bootstap method, and 200 patients admitted from January to May 2024 were selected for the external validation. Results: Age, previous surgical history, preoperative chronic pain, surgical approach, and surgical duration were independent risk factors for Acute Postsurgical Pain in patients with hepatectomy. The area under the ROC curve (AUC) of the training set model was 0.764, with a sensitivity of 80.1% and a specificity of 58.6%. After Bootstrap correction, the AUC of the model was 0.765, the sensitivity was 76.9%, and the specificity was 65.5%. The results of the Hosmer-Lemeshow test for the training set showed that χ2=9.830, P=0.277. The AUC of the validation set was 0.785, the sensitivity was 77.1%, and the specificity was 66.2%. The results of the Hosmer-Lemeshow test for the validation set showed that χ2=3.399, P=0.907. The AUC of the externally validated and corrected dataset was 0.709, the sensitivity was 76.5%, and the specificity was 58.7%. The results of the Hosmer-Lemeshow test showed that χ2=7.590, P=0.475. Conclusion: The risk prediction model constructed in this study has good performance and can provide reference for clinical medical staff to early predict Acute Postsurgical Pain in patients with hepatectomy.

Key words: Acute Postsurgical Pain; hepatectomy; risk prediction model; risk factors

中图分类号:  R47;R197