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Construction and validation of nomogram model for chronic postsurgical pain in patients after total knee arthroplasty: A retrospective study

  • 0Shenghao Zhao Department of Bone and Joint Surgery, Wuhan Fourth Hospital, 76 Jiefang Ave, Wuhan, Hubei Province 430034, P.R. China.
Pakistan Journal of Medical Sciences +

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March 19, 2025

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March 19, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

Chronic postsurgical pain after total knee arthroplasty is common. This study identified risk factors and developed a nomogram model to predict chronic postsurgical pain (CPSP) after total knee arthroplasty (TKA).

Area Of Science

  • Orthopedics
  • Pain Medicine
  • Surgical Outcomes

Background

  • Chronic postsurgical pain (CPSP) is a frequent complication following total knee arthroplasty (TKA).
  • Identifying patients at risk for CPSP is crucial for effective management and improved patient outcomes.

Purpose Of The Study

  • To investigate the risk factors associated with CPSP after TKA.
  • To develop and validate a predictive nomogram model for CPSP in TKA patients.

Main Methods

  • Retrospective analysis of 430 TKA patients.
  • Utilized Least Absolute Shrinkage and Selection Operator (LASSO) and logistic regression to identify risk factors.
  • Developed and validated a nomogram model using training and validation cohorts.

Main Results

  • Six independent risk factors for CPSP were identified: preoperative anxiety, depression, pain, tourniquet duration, discharge pain, and postoperative C-reactive protein.
  • The nomogram model showed good predictive accuracy (AUC 0.761 training, 0.806 validation) and clinical utility.

Conclusions

  • A validated nomogram model can effectively predict CPSP after TKA.
  • This tool can aid clinicians in identifying high-risk patients for targeted interventions.

Keywords: