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A new ABCD-10 score accurately predicts in-hospital mortality for Stevens-Johnson syndrome/toxic epidermal necrolysis (SJS/TEN) patients. This model shows similar prognostic accuracy to the existing SCORTEN score, offering improved insights for patient care.

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Area of Science:

  • Dermatology
  • Critical Care Medicine
  • Clinical Epidemiology

Background:

  • Stevens-Johnson syndrome/toxic epidermal necrolysis (SJS/TEN) are severe drug reactions with high mortality.
  • Existing severity-of-illness models like SCORTEN may not accurately predict mortality across diverse patient groups.

Purpose of the Study:

  • To develop and validate a new risk prediction model for in-hospital mortality in SJS/TEN patients.
  • To compare the prognostic accuracy of the new model against the established SCORTEN model.

Main Methods:

  • A multi-institutional US cohort of 370 adult SJS/TEN patients was analyzed.
  • A logistic regression model was derived using admission covariates.
  • Model performance was assessed using discrimination (AUC) and calibration (Hosmer-Lemeshow test).

Main Results:

  • The ABCD-10 model identified age, BSA detachment, low serum bicarbonate, active cancer, and prior dialysis as predictors of mortality.
  • ABCD-10 demonstrated good discrimination (AUC=0.816) and calibration.
  • The ABCD-10 model's prognostic accuracy was comparable to SCORTEN (AUC=0.827).

Conclusions:

  • The ABCD-10 score is a valid tool for predicting in-hospital mortality in SJS/TEN patients.
  • ABCD-10 offers comparable prognostic accuracy to SCORTEN.
  • Further validation in diverse populations is recommended for broader clinical application.