Predicting Poor Outcomes After Primary Knee Arthroplasty

Predicting Poor Outcomes After Primary Knee Arthroplasty

Aim To identify through data analysis key patients, surgeon and operative dependent variables which will improve the performance of knee replacement for primary osteoarthritis

Research Question

1. Can the investigators identify association between outcomes and patients characteristics using existing (already collected) datasets
2. What are the characteristics of patients with poor outcome after knee replacement
3. What can be done to improve the outcome of patients at risk of poor results

This is a retrospective analysis of a prospectively collected single centre database.

Inclusion Criteria:

• Primary knee arthroplasty
• Osteoarthritis

Exclusion Criteria:

• No consent for joint registry data collection