Development and Validation of a Comorbidity Index to Predict In-hospital Mortality Risk for Stevens-Johnson Syndrome

Development and Validation of a Comorbidity Index to Predict In-hospital Mortality Risk for Stevens-Johnson Syndrome

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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Development and Validation of a Comorbidity Index to Predict In-hospital Mortality Risk for Stevens-Johnson Syndrome

19th February 2026
PMID: 41742384
Authors Affiliations
Renxi Li The George Washington University School of Medicine and Health Sciences, Washington, DC, USA Department of Surgery, University of Minnesota Medical School, Minneapolis, MN, USA

Development and Validation of a Comorbidity Index to Predict In-hospital Mortality Risk for Stevens-Johnson Syndrome

Cite this article as:

Li R. Development and Validation of a Comorbidity Index to Predict In-hospital Mortality Risk for Stevens-Johnson Syndrome. Acute Med. 2025;24(2):86-92. doi: 10.52964/AMJA.1011. PMID: 41742384.

Development and Validation of a Comorbidity Index to Predict In-hospital Mortality Risk for Stevens-Johnson Syndrome

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