Hematologic Patterns in Differentiating DRESS From Morbilliform Drug Eruptions: A Preliminary Investigation.

Background

Drug reaction with eosinophilia and systemic symptoms (DRESS) and morbilliform drug eruption (MDE) are 2 distinct drug eruptions that can appear clinically similar at presentation. Given the significant morbidity of DRESS, there is a need for objective markers that can aid in early recognition.

Objective

The purpose of this study is to explore the diagnostic potential of routine hematological data on or near the date of rash onset.

Methods

We use machine learning as an exploratory method to identify any early hematological patterns capable of differentiating DRESS from MDE.

Results

We found that lymphocyte count, pan-immune inflammation value, neutrophil-to-lymphocyte ratio, and platelet levels were strong discriminators of DRESS from MDE at initial presentation.

Conclusions

These findings highlight the potential of hematologic profiles to enhance early diagnostic accuracy.