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Classifying patients with Behçet's disease for disease severity, using a discriminating analysis method
1Department of Dermatology, Medical Faculty, Abant Izzet Baysal University, Bolu, Turkey. polatmualla@gmail.com
Background:
Interleukin (IL)-8 has been shown to correlate with the activity of Behçet's disease (BD). The aim of this study was to develop tools as reliable as IL-8 levels in defining BD severity.
Methods:
In total, 32 patients with BD and 16 healthy controls were included in the study. Medical history, physical examination, routine laboratory investigations and measurement of serum IL-8 levels were performed. The patients were classified as groups I and II based on the serum IL-8 levels. The patients were then reassigned to groups based on the predictions through discriminating analysis.
Results:
In addition to the differences between patient and control groups, the differences between groups I and II, group I and controls, and group II and controls were statistically significant. The discriminating analysis results showed that the patients had been assigned to groups I and II with 100% accuracy.
Conclusion:
Discriminating analysis using clinical and routine laboratory findings indicated that 100% of the patients were accurately assigned to the same groups as their IL-8 levels indicated. This suggests that the classification made according to discriminating analysis using these routine variables is a reliable method in determination of the disease severity.
