Clinical prediction of sodium valproate-induced movement disorders in hospitalized patients: a nomogram-based model using real-world data.

Journal: International journal of clinical pharmacy
Published Date: Aug 19, 2025

Abstract

INTRODUCTION: Drug-induced movement disorders (DIMDs) are often underrecognized and challenging to diagnose and manage in clinical practice. Sodium valproate (VPA), a widely prescribed antiepileptic drug, causes DIMDs. Predictive modeling based on electronic medical records and machine learning algorithms offers a promising approach to improve early identification of adverse drug reactions (ADRs) and enhance clinical safety.

Authors

  • Liqiang Cui
    Chinese PLA Medical School, Beijing, 100853, China.
  • Man Zhu
    Department of Pharmacy, Medical Supplies Center, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
  • Tianlin Wang
    Department of Pharmacy, Medical Supplies Center, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
  • Ao Gao
    College of Plant Protection, Jilin Agricultural University, Changchun, P. R. China.
  • Pengzhi Zhao
    Department of Pharmacy, Medical Supplies Center, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China.
  • Jing Xiao
    Xiyuan Hospital, China Academy of Chinese Medical Sciences(CACMS), Beijing, China.
  • Daihong Guo
    Department of Pharmacy, Medical Supplies Center, Chinese PLA General Hospital, No.28 Fuxing Road, Haidian District, Beijing, 100853, China. guodh301@163.com.

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