Posterior probability of each demographic, clinical and laboratory variable to enter the logistic regression models with the best performance in the discrimination of patients with MAS from patients with sJIA without MAS (N=613)
| Posterior probability | |
| Demographic characteristics | |
| Gender | 0.25 |
| Age at onset | 0.15 |
| Clinical features | |
| Central nervous system involvement | 1.0 |
| Active arthritis | 0.96 |
| Haemorrhagic manifestations | 0.81 |
| Evanescent rash | 0.76 |
| Generalised lymphadenopathy | 0.43 |
| Hepatomegaly | 0.33 |
| Fever | 0.14 |
| Splenomegaly | 0.13 |
| Laboratory tests | |
| Platelet count | 0.99 |
| Fibrinogen | 0.99 |
| Lactate dehydrogenase | 0.99 |
| Ferritin | 0.86 |
| C-reactive protein | 0.75 |
| Alanine aminotransferase | 0.64 |
| Triglycerides | 0.55 |
| Neutrophil count | 0.31 |
| White cells count | 0.25 |
| Albumin | 0.18 |
| Aspartate aminotransferase | 0.17 |
| Erythrocyte sedimentation rate | 0.14 |
| Haemoglobin | 0.12 |
Variables with a posterior probability >0.80 were selected for inclusion in the final model.
MAS, macrophage activation syndrome; sJIA, systemic juvenile idiopathic arthritis.