Patient Acceptable Symptom State Versus Latent Class Analysis Outcome Classification: A Comparative Longitudinal Study of Knee Arthroplasty
Authors' conclusion
When used for outcome classification, observed PASS scores consistently underperform relative to probabilistic latent class-derived subgroups of pain and self-rated health outcome. PASS is a weak substitute for probabilistic classification of other patient-reported outcome measures of KA outcome.
Study context
- Population
- Participants with knee arthroplasty in KASTPain, a 1-year no-effect multicenter RCT
- Comparison
- Patient Acceptable Symptom State (PASS) vs latent class analysis-derived outcome classification
- Primary endpoint
- Differentiation of outcome classification:
- Separation of good
- Poor outcome trajectories
- Follow-up
- 1 year after KA
Methodological detailsmulticenter, confirmatory latent class analyses, longitudinal
- Multicenter
- Confirmatory latent class analyses
- Longitudinal
Primary result
As reported in the abstract
Separation of outcome growth trajectories · 12 months
Effect size for 12-month 4-item pain score separation, latent class vs PASS
≈3 times larger
Further findings
Prevalence of poor outcomes
- Self-rated health
- 10%
- 4-item pain and PASS
- 20%
Original publication
Patient Acceptable Symptom State Versus Latent Class Analysis Outcome Classification: A Comparative Longitudinal Study of Knee Arthroplasty. Arthritis Care Res (Hoboken). Published 26 January 2023. doi:10. 1002/ acr. 24962
Composed by AI from the published abstract and checked against it. How Briefs are made →