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Development and Validation of a Comorbidity Index to Predict In-hospital Mortality Risk for Stevens-Johnson Syndrome
1The George Washington University School of Medicine and Health Sciences, Washington, DC, USA, Department of Surgery, University of Minnesota Medical School, Minneapolis, MN, USA.
Background:
Stevens-Johnson syndrome/toxic epidermal necrolysis (SJS/TEN) is a spectrum of high-mortality severe drug reactions. This study aimed to develop an in-hospital mortality risk calculator for SJS based on comorbidities for early risk prediction.
Methods:
SJS/TEN patients were identified in National/Nationwide Inpatient Sample between Q4 2015-2020. Weight for each comorbidity was determined from a multivariable logistic regression to develop SJS Index.
Results:
SJS Index had good discrimination power (c-statistic=0.704) and was well-calibrated (Brier score=0.049). SJS index had significantly better discriminative power than Elixhauser Comorbidity Index (p-value=0.001). SJS Index has good applicability in SJS-TEN and TEN. After adjusting for demographics, SJS Index had improved performance in all groups.
Conclusions:
SJS Index effectively discriminates and predicts in-hospital mortality in SJS/TEN.
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