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Predictors of relapse after discontinuing antipsychotics in patients with schizophrenia spectrum disorders

  • Ling Li
  • , Thi Hung Le
  • , Woo Sung Kim
  • , Soyolsaikhan Odkhuu
  • , Chae Yeong Kang
  • , Ariana Setiani
  • , Eun Jin Jeon
  • , Fatima Zahra Rami
  • , Young Chul Chung*
  • *Corresponding author for this work
  • Jeonbuk National University

Research output: Contribution to journalJournal articlepeer-review

Abstract

We studied 61 patients with schizophrenia spectrum disorders who discontinued medication after achieving symptomatic remission. Over 3 years, relapse rates were significantly higher in those not meeting full recovery (p = 0.006) or remission (p < 0.001) criteria, with rates up to twice as high. Significant differences between relapsed and maintained groups included age at onset (p = 0.004), age at discontinuation (p = 0.009), and proportions meeting full recovery (p = 0.001) or remission (p = 0.003). Univariate Cox regression identified older age of onset (p = 0.038), lack of full recovery (p = 0.008) or remission (p = 0.001), and higher positive symptom score (p = 0.018) as predictors of relapse. In multivariate analysis, only full remission remained significant (p = 0.002). Our findings suggest that in making decision about discontinuation, applying more strict approaches, i.e., full recovery or remission criteria and detailed assessment of positive symptoms are critical and essential.

Original languageEnglish
Article number42
JournalSchizophrenia
Volume11
Issue number1
DOIs
StatePublished - 2025.12

Quacquarelli Symonds(QS) Subject Topics

  • Psychology
  • Medicine

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