Prediction Model for Persistent Postoperative Frailty Identified in Elderly Orthopedic Patients

Strategic Insights -

Investigators at the Beijing Hospital in Beijing, People's Republic of China have published a new report on medical devices and surgical technology. The research focused on identifying predictors of persistent postoperative frailty in older patients undergoing elective orthopedic surgery. The study aimed to explore the clinical utility of a prediction model incorporating grip strength, gait speed, systemic immune-inflammation index, and systemic inflammatory response index.

Key Takeaways:

  • Frailty is a significant risk factor for postoperative complications in older orthopedic patients, with a high prevalence among those aged 65 and above.
  • The study identified grip strength, gait speed, systemic immune-inflammation index, and systemic inflammatory response index as significant predictors of persistent postoperative frailty.
  • A nomogram was constructed to visualize the predicted model, which achieved an area under the curve (AUC) value of 0.772 in the training cohort and 0.788 in the validation cohort.
  • The prediction model demonstrated acceptable calibration, with agreements between the nomogram-predicted probability and the actual probability of persistent postoperative frailty.
  • Decision curve analysis revealed that the prediction model consistently outperformed the "treat-all" and "treat-none" strategies.
  • The research concluded that the prediction model enables early perioperative identification of older patients at high risk for developing persistent postoperative frailty.
  • Funding for the research was provided by the Non-profit Central Research Institute Fund of Beijing Hospital and the National High Level Hospital Clinical Research Funding.
  • The research team included Qingyun Xue, Guanghan Gao, Zitian Zheng, Fei Wang, Yaonan Zhang, Lei Shi, Lin Wang, and Zichen Ye.

Statistics:

  • 77.9% sensitivity and 64.3% specificity in the training cohort
  • 86.1% sensitivity and 82.2% specificity in the validation cohort
  • 2.467 odds ratio for grip strength
  • 1.214 odds ratio for gait speed
  • 1.809 odds ratio for systemic immune-inflammation index
  • 1.743 odds ratio for systemic inflammatory response index
  • 0.772 AUC value in the training cohort
  • 0.788 AUC value in the validation cohort

Sources:

  • A Prediction Model for Persistent Postoperative Frailty In Older Patients Undergoing Elective Orthopedic Surgery (2025;104(31). Medicine, 2001 Market St, Philadelphia, PA 19103, USA
  • Medical Devices & Surgical Technology Week, October 26, 2025, p 1820.