Table 2

Correlation between domains and disease activity, as assessed by the PhGA scale, and regression coefficients and domain weights obtained with the least-median-of-squares robust regression model with an MM estimator

Multivariate modelling
Bivariate analysisLeast median of square with MM estimator
DomainsCorrelation with PhGAp ValueRegression coefficientStandard errorWeightp Value
Constitutional0.1060.0050.7040.1633<0.001
Lymphadenopathy0.134<0.0010.8170.0894<0.001
Glandular0.0670.0780.4070.0912<0.001
Articular0.0630.0950.4890.0682<0.001
Cutaneous0.156<0.0010.5590.0973<0.001
Pulmonary0.170<0.0011.0660.1155<0.001
Renal0.125<0.0011.0900.1705<0.001
Muscular0.156<0.0011.1930.1916<0.001
PNS0.197<0.0010.9440.1175<0.001
CNS0.159<0.0010.9360.1575<0.001
Hematological0.0410.2770.3610.12620.004
Biological0.0730.0530.2060.08010.010
  • For bivariate analysis, Pearson's correlation coefficient (r) were obtained between the physician global assessment (PhGA) scale and each domain; for each domain, scores ranged from 0 ‘no activity’ to 3 ‘high activity’. All domains were entered in multivariate regression with the least-median-of-squares model with an MM estimator. R2=0.30 for the model. All domains were significantly associated with disease activity (as defined by the 0–10 PhGA numerical scale) in the multivariate model. The weights were derived from the regression coefficient of the multivariate model.

  • CNS, central nervous system; MM, modified maximum likelihood; PNS, peripheral nervous system.