Clinical predictors for possible failure after total hip arthroplasty

Area of Science:

• Orthopedic Surgery
• Biomedical Engineering
• Clinical Outcomes Research

Background:

• Increasing volume of total hip arthroplasties (THAs) necessitates evidence-based postoperative follow-up strategies.
• Current follow-up protocols may not optimally identify early signs of THA failure.
• Predicting THA failure can improve patient outcomes and resource allocation.

Purpose of the Study:

• To identify early predictors of total hip arthroplasty (THA) failure using the Harris Hip Score (HHS).
• To establish a basis for optimizing postoperative follow-up schedules based on identified failure predictors.
• To correlate specific HHS components with the risk of future THA revision or aseptic loosening.

Main Methods:

• Retrospective review of 9,949 primary total hip arthroplasties (THAs) performed between 1973 and 2012.
• Analysis of 8,331 THAs with complete follow-up data, excluding 1,131 lost to follow-up.
• Kaplan-Meier analysis to determine time to failure, with aseptic loosening or component revision as endpoints.

Main Results:

• A pain score of 30 or less at any follow-up point was a significant predictor of THA failure (p<0.0001).
• Low distance walked scores (≤5) at 6 months and 1 year predicted future failure (p=0.0087, p=0.0167).
• Reduced stairs scores (≤2) at 1 and 3 years (p=0.0343, p=0.0245) and low limp scores (≤8) at 3-10 years (p<0.0002) also indicated higher failure risk.

Conclusions:

• Specific Harris Hip Score (HHS) components, including pain, walk, stairs, and limp, are predictive of total hip arthroplasty (THA) failure.
• Surgeons should consider these indicators to tailor and optimize postoperative follow-up schedules.
• Proactive monitoring based on these predictive scores can lead to earlier intervention for potential THA failures.