Evidence-based provisional clinical classification criteria for autoinflammatory periodic fevers

Area of Science:

• Rheumatology
• Genetics
• Clinical Diagnostics

Background:

• Periodic fevers are a group of rare autoinflammatory diseases.
• Accurate classification is crucial for appropriate management.
• Existing diagnostic criteria may lack sufficient sensitivity and specificity.

Purpose of the Study:

• To develop and validate clinical criteria for classifying patients with inherited periodic fevers.
• To improve diagnostic accuracy for conditions like FMF, MKD, TRAPS, and CAPS.
• To create evidence-based tools for routine clinical use.

Main Methods:

• Retrospective analysis of 1215 patients from the Eurofever Registry.
• Development of classification scores using univariate and multivariate analysis on a training set.
• Validation of scores in an independent patient cohort.
• Utilized receiver operating characteristic (ROC) curve analysis for cut-off determination.

Main Results:

• Identified key clinical variables independently correlating with specific inherited periodic fevers.
• Developed four provisional classification scores with high diagnostic performance.
• Achieved high areas under the curve (AUC) in the validation set: FMF (0.98), TRAPS (0.95), MKD (0.96), CAPS (0.99).

Conclusions:

• Evidence-based provisional clinical criteria for inherited periodic fevers have been successfully developed.
• These criteria demonstrate high sensitivity and specificity for classifying FMF, MKD, TRAPS, and CAPS.
• The developed scores offer a valuable tool for the clinical classification of these rare autoinflammatory diseases.