Determination and characterization of patient subgroups based on pain trajectories in hand osteoarthritis
Authors' conclusion
LCGA showed three pain trajectories in hand OA patients, with different baseline pain levels and stable pain over time. Classes were distinguished by BMI, education level, disease severity, depression and HR-QoL.
Study context
- Population
- Consecutive hand osteoarthritis (OA) patients in secondary care (HOSTAS cohort)484 eligible for longitudinal analysis
- Participants
- 538 patients
- Outcome
- AUSCAN pain trajectories (measured yearly)
- Follow-up
- Four years
Methodological detailsconsecutive patients, secondary care, latent class growth analysis, multinomial logistic regression adjusted for baseline pain
- Consecutive patients
- Secondary care
- Latent class growth analysis
- Multinomial logistic regression adjusted for baseline pain
Main finding
As reported in the abstract
AUSCAN pain trajectories (LCGA)
Latent class growth analysis (LCGA) yielded three classes, characterized by average pain levels at baseline; average pain remained stable over time within classes
3 classes
Observational data: associations, not effects.
Further findings
- Mean (SD) baseline AUSCAN pain
- 9.3 (4.3)
- Sex, marital and working status, education, disease duration and severity, anxiety and depression scores, lower health-related quality of life (HR-QoL), specific illness perceptions and coping styles associated with baseline pain
Original publication
Determination and characterization of patient subgroups based on pain trajectories in hand osteoarthritis. Rheumatology (Oxford). Published 17 January 2023. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →