スティーブンス・ジョンソン症候群の院内死亡リスク予測のための併存疾患指数の開発と検証
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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