Table 2.

Generalized linear mixed models to identify demographic and clinical predictors of self-reported work disability in SSc.

Model 1Model 2Model 3Model 4
Odds ratio95% CIOdds ratio95% CIOdds ratio95% CIOdds ratio95% CI
Age1.0080.979 1.0371.0140.984 1.0461.0140.983 1.0470.9990.966 1.033
Female1.2460.649 2.3921.3650.701 2.6591.3770.702 2.7011.1090.538 2.284
White1.1630.533 2.5391.3310.606 2.9231.2200.552 2.6941.2320.523 2.902
Education0.6180.377 1.0120.6680.401 1.1110.6300.376 1.0560.6220.355 1.089
Comorbidity score1.1351.072 1.2021.1011.036 1.1691.0771.012 1.1471.0751.005 1.151
Disease duration1.0331.001 1.0661.0411.007 1.0761.0421.008 1.0771.0501.013 1.088
Diffuse skin involvement1.8901.134 3.1511.8431.090 3.1161.7721.042 3.0161.2900.724 2.300
PGA of disease severity1.3121.162 1.4811.2571.109 1.4241.2521.104 1.4201.0930.948 1.260
Pain1.2121.102 1.3331.1521.040 1.2771.0000.886 1.128
Fatigue*0.9670.942 0.9930.9870.959 1.016
HAQ4.8812.854 8.348
AUC 76.6%, BIC 467.4AUC 79.2%, BIC 457.3AUC 80.1%, BIC 456.87AUC 84.7%, BIC 423.6
  • * Lower scores indicate worse fatigue. PGA: physician global assessment; HAQ: Health Assessment Questionnaire; CI: confidence interval; AUC: area under the ROC curve; BIC: Bayesian information criterion.