Abstract
BACKGROUND: There has been a significant increase in the incidence of recurrent, resistant, and extensive dermatophyte infections worldwide recently. This menace has spurred the need for more well-designed randomized controlled trials to optimize the treatment of dermatophyte skin infections. One of the limitations in designing such studies is the limited availability of standard and validated score, to measure the severity of dermatophyte infections. AIMS: To create a severity score for the evaluation of dermatophyte infections. MATERIALS AND METHODS: A Delphi consensus model was used to frame a severity scoring tool for superficial dermatophyte skin infections. Fourteen experts participated in the first round and twelve experts participated in the second round. RESULTS: Based on the expert consensus, a final scoring system proposed was: Final Severity Score (FSS) = Sum total of Body Surface Area (BSA) in hand units for each patch multiplied by the sum of the scores for pruritis (P), lichenification (L), and actively raised borders (A) for each patch (FSS = BSA in hand units × (P + E + L + A) of patch 1 + BSA in hand units × (P + E + A) of patch 2 …etc.). For measuring hand units more accurately fractional values of 0.25 can be used (0.25 corresponding to an approximate 1/4(th) of a hand unit). A score of +1 will be added in case of the following - 1) Close contact/family member affected, 2) History of at least one recurrence in the previous 6 months after a course of oral antifungals, 3) History of immunosuppression (on immunosuppressive medication or having underlying immunosuppressive disease). The scores will be valid only if the patient has not used any treatment topical or systemic, for at least 2 weeks before enrolment. CONCLUSION: The proposed Dermatophytosis Area and Severity Index (DeASI) score will help the physicians and researchers standardize the treatment protocol for dermatophytosis, henceforth, assessing the response to therapy. This will also help to standardize the parameters of effectiveness while designing any clinical trial.