Identifying New Candidate Predictors of Mortality in Japanese Patients with Severe Drug Eruptions.

Journal: Drug safety
Published Date: Jun 19, 2025

Abstract

UNLABELLED: BACKGROUND AND OBJECTIVES: SCORe of Toxic Epidermal Necrolysis (SCORTEN) and ABCD-10 have been developed as scoring systems for predicting mortality associated with Stevens-Johnson syndrome (SJS) or toxic epidermal necrolysis (TEN). These scores were developed based on a small number of patients; hence, their generalizability requires further exploration. The present study used three algorithms, including a machine learning method, to construct a mortality prediction model for SJS/TEN and to identify new candidate predictors of mortality from severe drug eruptions.

Authors

  • Shiho Sato
    Department of Epidemiology, Fukushima Medical University School of Medicine, 1 Hikariga-oka, Fukushima, 960-1295, Japan. pnss0rki@fmu.ac.jp.
  • Tadao Ooka
    Department of Health Science, University of Yamanashi, 1110 Shimokato, Chuo, Yamanashi, 409-3898, Japan.
  • Yoshito Zamami
    Department of Pharmacy, Medical Development Field, Okayama University, 2-5-1 Shikata-cho, Kitaku, Okayama, 700-8558, Japan.
  • Hirofumi Hamano
    Department of Pharmacy, Medical Development Field, Okayama University, 2-5-1 Shikata-cho, Kitaku, Okayama, 700-8558, Japan.
  • Fumikazu Hayashi
    Department of Epidemiology, Fukushima Medical University School of Medicine, 1 Hikariga-oka, Fukushima, 960-1295, Japan.
  • Eri Eguchi
    Department of Epidemiology, Fukushima Medical University School of Medicine, 1 Hikariga-oka, Fukushima, 960-1295, Japan.
  • Narumi Funakubo
    Department of Epidemiology, Fukushima Medical University School of Medicine, 1 Hikariga-oka, Fukushima, 960-1295, Japan.
  • Tetsuya Ohira
    Department of Epidemiology, Fukushima Medical University School of Medicine, 1 Hikariga-oka, Fukushima, 960-1295, Japan.

Keywords

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