Background: Detailed scoring systems such as the European Registry of Severe Cutaneous Adverse Reactions (RegiSCAR) score for validating a diagnosis of drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome are available, but there is no rapid, easy tool to identify DRESS at presentation.
Objective: To identify the clinical, biochemical, and serologic markers predicting the DRESS syndrome and its severity.
Methods: In this prospective observational study, 25 patients with the DRESS syndrome and 25 control patients with maculopapular drug rash were recruited. Baseline clinical, biochemical, and serologic markers, such as high-sensitivity C-reactive protein (hsCRP), erythrocyte sedimentation rate, and thymus and activation-regulated chemokine (TARC) levels, were recorded and their utility in identifying the DRESS syndrome at presentation and predicting severity was analyzed.
Results: The effectiveness of TARC level (>613.25 pg/mL), total body surface area (TBSA, >35%), hsCRP (>5 mg/L), eosinophils (>6%), absolute eosinophil count (>450 cells/mm), and aspartate transaminase (>92 U/L) were statistically similar to the effectiveness of the RegiSCAR DRESS validation score (≥2) in diagnosing the DRESS syndrome. A combination model (TBSA at baseline, eosinophil count, and hsCRP) at the cutoff of 6.8 had a sensitivity of 96% and a specificity of 100%. Baseline serum TARC levels did not predict the DRESS severity or outcome.
Limitations: Small sample size.
Conclusion: The combination of TBSA involvement, eosinophil count, and hsCRP levels can predict the DRESS syndrome at presentation.
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| http://dx.doi.org/10.1016/j.jaad.2021.03.075 | DOI Listing |
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