Defining criteria for disease activity states in juvenile dermatomyositis based on the Juvenile Dermatomyositis Activity Index
Authors' conclusion
Both JDMAI1 and JDMAI2 cut-offs revealed good metrologic properties in validation analyses and are, therefore, suited for application in clinical practice and research.
Study context
- Population
- Children with juvenile dermatomyositis (JDM): 139 patients from an RCT for cut-off definition; two validation cohortsvalidation: 488 JDM patients
- Participants
- 139 children
- Comparison
- JDMAI1 vs JDMAI2
- Outcome
- Juvenile DermatoMyositis Activity Index (JDMAI) cut-offs for inactive disease, low, moderate and high disease activity
Methodological detailspercentiles of score distribution, ROC curve analysis, validation in two cohorts
- Percentiles of score distribution
- ROC curve analysis
- Validation in two cohorts
Performance
As reported in the abstract
Disease activity state cut-offs
| Test or model | Inactive disease (ID) | Low disease activity (LDA) | Moderate disease activity (MDA) | High disease activity (HDA) |
|---|---|---|---|---|
| JDMAI1 | ≤2.4 | ≤6.6 | 6.7-11 | >11 |
| JDMAI2 | ≤5.2 | ≤8.5 | 8.6-11.3 | >11.3 |
Inactive disease (ID)
JDMAI1≤2.4
JDMAI2≤5.2
Low disease activity (LDA)
JDMAI1≤6.6
JDMAI2≤8.5
Moderate disease activity (MDA)
JDMAI16.7-11
JDMAI28.6-11.3
High disease activity (HDA)
JDMAI1>11
JDMAI2>11.3
Further findings
Discriminative ability of cut-offs
- Cut-offs discriminated strongly among physician- and parent-defined activity states, parent satisfaction, pain, fatigue, physical functional impairment and physical well-being
Original publication
Defining criteria for disease activity states in juvenile dermatomyositis based on the Juvenile Dermatomyositis Activity Index. RMD Open. Published 2 February 2024. doi:10.
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