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Validation of a questionnaire algorithm based on repeated open application testing with the constituents of fragrance mix I.

Magnus BruzeM EngfeldtRobert F OfenlochP ElsnerM GoncaloM IsakssonL NaldiM-L SchuttelaarÅ SvenssonT Diepgen
Published in: The British journal of dermatology (2019)
The algorithm used in this study was not substantiated in this ROAT set-up. The stronger the patch test reactivity the more likely was a positive ROAT and the more likely it was that the positive ROAT appeared early during the application period. What's already known about this topic? To the best of our knowledge, a scientifically designed and conducted repeated open application test (ROAT) has never been performed before to validate a diagnosis of allergic contact dermatitis partly based on a questionnaire. What does this study add? This is the largest controlled, randomized and blinded ROAT performed to date. Higher patch test reactivity to fragrance mix I indicated a greater likelihood of a positive ROAT. What are the clinical implications of this work? Further refinement of the questions is required in order to diagnose allergic contact dermatitis from fragrances based on a questionnaire.
Keyphrases
  • machine learning
  • minimally invasive
  • healthcare
  • deep learning
  • open label
  • double blind
  • patient reported
  • phase iii
  • study protocol
  • allergic rhinitis