Modeling smoking in systemic sclerosis: a comparison of different statistical approaches

Arthritis Care Res (Hoboken). 2011 Apr;63(4):570-8. doi: 10.1002/acr.20416.

Abstract

Objective: To determine the effect of different methods of modeling smoking on vascular outcomes in rheumatic diseases.

Methods: Data from the Canadian Scleroderma Research Group Registry were used. Patients self-reported their smoking history. Vascular outcomes were severity of Raynaud's phenomenon, presence of finger ulcers, and severity of finger ulcers. Several models were developed to capture the experience of smoking: 1) ever compared to never smoking; 2) current and past smoking compared to never smoking; 3) never, past, and current smoking compared using polynomial contrasts; 4) smoking intensity, duration, and time since cessation assessed separately; and 5) smoking modeled using the Comprehensive Smoking Index (CSI), which integrates intensity, duration, and time since cessation into a single covariate.

Results: This study included 606 patients, of which 16% were current, 42% were past, and 42% were never smokers. Current and past smokers smoked a mean±SD of 25±17 and 17±18 pack-years, respectively. Smoking duration was shorter in past compared to current smokers (18.3 versus 31.7 years). Past smokers reported having stopped smoking approximately mean±SD 16±12 years prior, although this ranged from 1 to 50 years. Smoking had no effect on vascular outcomes in the simplest model comparing ever to never smokers. Models that isolated past smokers revealed the presence of a healthy smoker bias in that group. The model using the CSI demonstrated a strong negative effect of smoking on vascular outcomes.

Conclusion: Proper modeling of the effect of smoking is essential in studies of vascular outcomes of rheumatic diseases.

Publication types

  • Comparative Study
  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Biometry / methods
  • Canada / epidemiology
  • Cohort Studies
  • Cross-Sectional Studies
  • Female
  • Humans
  • Male
  • Middle Aged
  • Models, Statistical*
  • Registries / statistics & numerical data*
  • Scleroderma, Systemic / epidemiology*
  • Scleroderma, Systemic / etiology
  • Scleroderma, Systemic / pathology
  • Severity of Illness Index*
  • Smoking / adverse effects
  • Smoking / epidemiology*
  • Smoking / pathology