Systemic sclerosis & Raynaud's

Distinct Systemic Sclerosis Phenotypes Related to Ethnicity: An Opportunity to Personalize Care?

Arthritis Care Res (Hoboken)Published Cohort study

Authors' conclusion

Ethnicity was associated with distinct SSc phenotypes.

Study context

Population
Participants with systemic sclerosis (SSc) enrolled in the Canadian Scleroderma Research Group cohort who self-identified to a single ethnicity group
Participants
1,477 eligible participants
Exposure
SSc characteristics compared across self-identified ethnic groups
  • Whiten = 1,345
  • Indigenousn = 55
  • East/Southeast Asiann = 22
  • Middle Easternn = 20
  • Blackn = 16
  • South Asiann = 12
  • Latin Americann = 7
Outcome
Demographic, clinical and serological characteristics of SSc by ethnic background
Methodological detailsCanadian Scleroderma Research Group cohort, Kaplan-Meier curves and Cox regression for mortality
  • Canadian Scleroderma Research Group cohort
  • Kaplan-Meier curves and Cox regression for mortality

Main finding

As reported in the abstract

SSc phenotype by ethnicity
Diffuse cutaneous SSc, White vs other ethnicities
33% vs 53%
Telangiectasias, White vs other ethnicities
44% vs 67%
Myositis, Black vs comparison
44% vs 10%
Mean modified Rodnan skin score, Black vs comparison
18.4 vs 9.6
Mean FVC, Black vs comparison
73.7% predicted vs 92.9% predicted
DLco, Black vs comparison
54.5% predicted vs 70.6% predicted
Anti-RNA polymerase III antibodies, Indigenous (highest prevalence) vs comparison
34% vs 19%
Raynaud phenomenon, East/Southeast Asian (least frequent)
90%
Digital ulcers, East/Southeast Asian (least frequent)
29%

Observational data: associations, not effects.

Further findings

Survival probability, Black individuals (lowest) · 1 and 5 years

Survival at one year, Black
85%
Survival at five years, Black
57%

Original publication

Distinct Systemic Sclerosis Phenotypes Related to Ethnicity: An Opportunity to Personalize Care? Arthritis Care Res (Hoboken). Published 1 June 2026. doi:10.1002/acr.80098

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

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