Table 4.

All subset logistic regression models for the prediction of reclassification in patients with SLE.

VariablesOR (95% CI)pOptimal CutoffSensitivity, %Specificity, %
Age, yrs1.15 (1.06–1.24)0.00151.96086
Disease duration, yrs0.99 (0.94–1.05)0.7823.94082
Hypertension3.74 (1.45–9.68)0.006
SLICC CV– > 01.07 (0.82–1.40)0.76
C3, mg/dl1.01 (1.00–1.04)0.0331275292
Abdominal circumference, cm0.98 (0.95–1.02)0.371024884
Triglycerides, mg/dl1.00 (1.00–1.00)0.571406879
Pseudo R20.21
AIC114.7
BIC137.5
AUC0.852
Sensitivity44.4
Specificity97.0
pfitHL0.118
  • Values in bold face are statistically significant. SLE: systemic lupus erythematosus; CV: cardiovascular; AIC: Akaike information criterion; BIC: Schwarz Bayesian criterion; AUC: area under the curve; pfitHL: Hosmer-Lemeshow goodness-of-fit; SLICC: Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index; SLICC CV–: SLICC calculated without CV items.