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Predicting DRESS Syndrome Recurrence-The ReDRESS Score.
Sharma, Ajay N; Murphy, Kenneth; Shwe, Samantha; Miller, Melanie; Mesinkovska, Natasha A; Rojek, Nathan W; Worswick, Scott.
Affiliation
  • Sharma AN; Department of Dermatology, University of California, Irvine.
  • Murphy K; Paul Merage School of Business, University of California, Irvine.
  • Shwe S; Department of Dermatology, University of California, Irvine.
  • Miller M; Department of Dermatology, Keck School of Medicine, University of Southern California, Los Angeles.
  • Mesinkovska NA; Department of Dermatology, University of California, Irvine.
  • Rojek NW; Department of Dermatology, University of California, Irvine.
  • Worswick S; Department of Dermatology, Keck School of Medicine, University of Southern California, Los Angeles.
JAMA Dermatol ; 158(12): 1445-1447, 2022 12 01.
Article in En | MEDLINE | ID: mdl-36260295
This cross-sectional study of DRESS syndrome cases creates a model capable of predicting recurrence to identify patients most at risk.
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Drug Hypersensitivity Syndrome Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: JAMA Dermatol Year: 2022 Document type: Article Country of publication:
Fulltext
Add to My VHL
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Drug Hypersensitivity Syndrome Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: JAMA Dermatol Year: 2022 Document type: Article Country of publication: