全膝关节置换术后慢性术后疼痛nomogram模型的构建与验证:一项回顾性研究。

IF 1.2 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL
Shenghao Zhao, Ying Hu, Ye Li, Jie Tang
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引用次数: 0

摘要

目的:全膝关节置换术(TKA)后慢性术后疼痛(CPSP)是骨科术后最常见的并发症。本研究旨在探讨TKA后发生CPSP的危险因素,并构建模态图模型。方法:回顾性研究武汉市第四医院2020年1月至2024年1月期间接受TKA治疗的430例患者的临床记录。患者按7:3的比例随机分为训练组(n=301)和验证组(n=129)。采用最小绝对收缩和选择算子(Least Absolute contraction and Selection Operator, LASSO)算法和logistic回归分析识别独立风险因素,并根据识别出的风险因素建立预测模态图模型。采用一致性指数(C-index)、校正曲线、受试者工作特征(ROC)曲线和决策曲线分析评价nomogram模型的预测准确性和临床应用价值。结果:确定了预测CPSP的6个危险因素,包括术前焦虑、术前抑郁、术前疼痛、止血带使用时间、出院时疼痛和术后c反应蛋白水平。模态图模型具有足够的预测精度,训练组和验证组的曲线下面积(AUC)分别为0.761 (95% CI: 0.689-0.833)和0.806 (95% CI: 0.700-0.911)。训练组和验证组的c指数分别为0.733和0.761。校正曲线显示模型的预测风险与CPSP的实际风险具有较好的一致性。决策曲线分析(DCA)验证了该模型的临床适用性。结论:本研究建立的预测TKA后CPSP的nomogram模型具有较好的预测价值,可用于临床识别TKA后发生CPSP的高危患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction and validation of nomogram model for chronic postsurgical pain in patients after total knee arthroplasty: A retrospective study.

Objective: Chronic postsurgical pain (CPSP) after total knee arthroplasty (TKA) is the most common postoperative complication in orthopedics. This study aims to explore the risk factors for CPSP after TKA and construct a nomogram model.

Methods: This retrospective study included clinical records of 430 patients who received TKA treatment at Wuhan Fourth Hospital between January 2020 to January 2024. Patients were randomly divided into a training cohort (n=301) and a validation cohort (n=129) in a 7:3 ratios. The Least Absolute Shrinkage and Selection Operator (LASSO) algorithm and logistic regression analysis were used to identify the independent risk factors, and a predictive nomogram model was established based on the identified risk factors. The concordance index (C-index), calibration curve, receiver operating characteristic (ROC) curve and decision curve analysis were used to assess the predictive accuracy and clinical application value of the nomogram model.

Results: Six risk factors for predicting CPSP were identified, including preoperative anxiety, preoperative depression, preoperative pain, duration of tourniquet use, pain upon discharge, and postoperative C-reactive protein levels. The nomogram model demonstrated sufficient predictive accuracy, with the area under the curve (AUC) values of 0.761 (95% CI: 0.689-0.833) and 0.806 (95% CI: 0.700-0.911) in the training cohort and validation cohort, respectively. The C-index of the training cohort and validation cohort were 0.733 and 0.761, respectively. The calibration curve shows good consistency between the predicted risk of the model and the actual risk of CPSP. Decision curve analysis (DCA) demonstrated the clinical applicability of the model.

Conclusions: The nomogram model established in this study for predicting CPSP after TKA has good predictive value and may be used in clinical practice to identify patients at high risk of developing CPSP after TKA.

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来源期刊
Pakistan Journal of Medical Sciences
Pakistan Journal of Medical Sciences 医学-医学:内科
CiteScore
4.10
自引率
9.10%
发文量
363
审稿时长
3-6 weeks
期刊介绍: It is a peer reviewed medical journal published regularly since 1984. It was previously known as quarterly "SPECIALIST" till December 31st 1999. It publishes original research articles, review articles, current practices, short communications & case reports. It attracts manuscripts not only from within Pakistan but also from over fifty countries from abroad. Copies of PJMS are sent to all the import medical libraries all over Pakistan and overseas particularly in South East Asia and Asia Pacific besides WHO EMRO Region countries. Eminent members of the medical profession at home and abroad regularly contribute their write-ups, manuscripts in our publications. We pursue an independent editorial policy, which allows an opportunity to the healthcare professionals to express their views without any fear or favour. That is why many opinion makers among the medical and pharmaceutical profession use this publication to communicate their viewpoint.
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