Fibromyalgia & musculoskeletal pain
Determinants of health-related quality of life across the spectrum of connective tissue diseases using latent profile analysis: results from the LEAP cohort
Authors' conclusion
Distinct HRQoL subgroups exist that are not primarily driven by a specific diagnosis or autoantibody profiles. We identified a number of key demographic and clinical factors associated with poor HRQoL.
Study context
- Population
- Patients across the spectrum of CTD (LEAP cohort) who completed the Short Form (SF-36)
- Participants
- 309 patients
- Exposure
- Poor vs Average vs Excellent
- Poorn = 89
- Averagen = 190
- Excellentn = 30
- Outcome
- HRQoL latent profiles from the eight SF-36 domains and patient-level characteristics associated with them
Methodological detailsdata-driven clustering, multivariable ordinal logistic regression
- Data-driven clustering
- Multivariable ordinal logistic regression
Main finding
As reported in the abstract
- Black background, OR
- 0.22 (95% CI 0.08, 0.63)
- Indo-Asian background, OR
- 0.39 (95% CI 0.19, 0.78)
- Concomitant fibromyalgia, OR
- 0.40 (95% CI 0.20, 0.78)
- Sicca symptoms, OR
- 0.56 (95% CI 0.32, 0.98)
- Multimorbidity (Charlson Comorbidity Index), OR
- 0.81 (95% CI 0.67, 0.97)
Observational data: associations, not effects.
Further findings
SF-36 domain impairment
- Most impaired domains in each disease group: vitality, general health and bodily pain
- Physical component consistently more impaired than mental component, with similar scores across disease groups
Original publication
Determinants of health-related quality of life across the spectrum of connective tissue diseases using latent profile analysis: results from the LEAP cohort. Rheumatology (Oxford). Published 19 December 2022. doi:10.
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