Systemic sclerosis & Raynaud's

The association of outdoor temperature and self-reported Raynaud's phenomenon severity among people with systemic sclerosis: a Scleroderma Patient-centered Intervention Network Cohort study

Lancet RheumatolPublished Prospective cohort study

Authors' conclusion

Raynaud's phenomenon severity is worst at very cold temperatures but also increases with very warm temperatures, presumably due to air conditioning.

Study context

Population
People with RP secondary to SSc in the Scleroderma Patient-centered Intervention Network Cohort; mean age 54.8 (SD 12.7) years20,233 assessments
Participants
2,243 people
Outcome
Past-week RP severity (NRS 0-10) across the spectrum of mean daily outdoor temperature in the week before assessment
Methodological detailslongitudinal assessments at 3-month intervals, linear mixed models with basis splines, People with lived experience of SSc contributed to study design and interpretation
  • Longitudinal assessments at 3-month intervals
  • Linear mixed models with basis splines
  • People with lived experience of SSc contributed to study design and interpretation

Main finding

As reported in the abstract

Predicted RP severity score (0-10) by outdoor temperature
Maximum predicted severity, at −25°C
6.8 points (95% CI 5.6-8.1)
Decrease from −15°C to 5°C, per 5°C difference
0.05-0.21 points
Decrease between 5°C and 25°C, per 5°C difference
0.37-0.54 points
Minimum predicted severity, at 25°C
2.6 points [95% CI 2.5-2.7]
Predicted severity at 35°C
3.5 points (3.0-4.1)
Predicted severity at 40°C
5.6 points (4.5-6.8)

Observational data: associations, not effects.

Further findings

RP severity by feels like temperature (incorporating wind chill and humidity)

Results similar to those for mean daily temperature

Original publication

The association of outdoor temperature and self-reported Raynaud's phenomenon severity among people with systemic sclerosis: a Scleroderma Patient-centered Intervention Network Cohort study. Lancet Rheumatol. Published 28 August 2024. doi:10.1016/s2665-9913(24)00189-9

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

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