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<p>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 (<i>p</i> = 0.006) or remission (<i>p</i> &lt; 0.001) criteria, with rates up to twice as high. Significant differences between relapsed and maintained groups included age at onset (<i>p</i> = 0.004), age at discontinuation (<i>p</i> = 0.009), and proportions meeting full recovery (<i>p</i> = 0.001) or remission (<i>p</i> = 0.003). Univariate Cox regression identified older age of onset (<i>p</i> = 0.038), lack of full recovery (<i>p</i> = 0.008) or remission (<i>p</i> = 0.001), and higher positive symptom score (<i>p</i> = 0.018) as predictors of relapse. In multivariate analysis, only full remission remained significant (<i>p</i> = 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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年3月13日

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  • Ling Li,
  • Thi Hung Le,
  • Woo Sung Kim,
  • Soyolsaikhan Odkhuu,
  • Chae Yeong Kang,
  • Ariana Setiani,
  • EunJin Jeon,
  • Fatima Zahra Rami,
  • Young-Chul Chung

摘要

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.