Spondyloarthritis & psoriatic arthritis

Influence of national socioeconomic status on treatment retention and disease activity in psoriatic arthritis and axial spondyloarthritis: evidence over 2 years in 13 European countries

Ann Rheum DisPublished Observational cohort study

Authors' conclusion

Treatment retention varies with countries' socioeconomic status.

Study context

Population
Patients with PsA or axial spondyloarthritis (axSpA) initiating b/tsDMARDs in 2015–2021, 13 European countries (European Spondyloarthritis Research Collaboration Network)17,296 PsA and 21,615 axSpA
Participants
38,911 patients
Exposure
Countries with high vs medium/low national socioeconomic indicators
Outcome
b/tsDMARD retention at 6/12/24 months
Follow-up
6/12/24 months
Methodological detailslongitudinal, multinational (13 European countries), Kaplan-Meier, mixed-effects Cox regression, stratified by disease/b/tsDMARD number/sex
  • Longitudinal
  • Multinational (13 European countries)
  • Kaplan-Meier
  • Mixed-effects Cox regression
  • Stratified by disease/b/tsDMARD number/sex

Main finding

As reported in the abstract

b/tsDMARD retention, 1st/≥2nd b/tsDMARD, men and women with PsA/axSpA
  • For all socioeconomic indicators, higher wealth associated with earlier discontinuation of 1st b/tsDMARD in PsA and axSpA men and women
  • Strength of associations varied across indicators, treatment lines and sex; strongest with GDP per capita and HDI, most prominently in women with axSpA
  • High GDP per capita vs Medium/low GDP per capita: log rank P < .001

Observational data: associations, not effects.

Further findings

Disease activity at start of 1st/≥2nd b/tsDMARD (country level) · treatment start

Most disease activity measures significantly worse with lower GDP, particularly for PsA

Original publication

Influence of national socioeconomic status on treatment retention and disease activity in psoriatic arthritis and axial spondyloarthritis: evidence over 2 years in 13 European countries. Ann Rheum Dis. Published 13 July 2026. doi:10.1016/j.ard.2026.06.021

Composed by AI from the published abstract and checked against it. How Briefs are made →

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