Predictors of relapse after discontinuing antipsychotics in patients with schizophrenia spectrum disorders
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 a...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-03-01
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| Series: | Schizophrenia |
| Online Access: | https://doi.org/10.1038/s41537-025-00592-3 |
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| author | Ling Li Thi Hung Le Woo Sung Kim Soyolsaikhan Odkhuu Chae Yeong Kang Ariana Setiani EunJin Jeon Fatima Zahra Rami Young-Chul Chung |
| author_facet | Ling Li Thi Hung Le Woo Sung Kim Soyolsaikhan Odkhuu Chae Yeong Kang Ariana Setiani EunJin Jeon Fatima Zahra Rami Young-Chul Chung |
| author_sort | Ling Li |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-3bed0b0f1c96465b8d4506b9fdc651d0 |
| institution | DOAJ |
| issn | 2754-6993 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Schizophrenia |
| spelling | doaj-art-3bed0b0f1c96465b8d4506b9fdc651d02025-08-20T02:56:16ZengNature PortfolioSchizophrenia2754-69932025-03-011111810.1038/s41537-025-00592-3Predictors of relapse after discontinuing antipsychotics in patients with schizophrenia spectrum disordersLing Li0Thi Hung Le1Woo Sung Kim2Soyolsaikhan Odkhuu3Chae Yeong Kang4Ariana Setiani5EunJin Jeon6Fatima Zahra Rami7Young-Chul Chung8Department of Psychiatry, Jeonbuk National University Medical SchoolDepartment of Psychiatry, Jeonbuk National University Medical SchoolDepartment of Psychiatry, Jeonbuk National University Medical SchoolDepartment of Psychiatry, Jeonbuk National University Medical SchoolDepartment of Psychiatry, Jeonbuk National University Medical SchoolDepartment of Psychiatry, Jeonbuk National University Medical SchoolJeonbuk National University HospitalDepartment of Psychiatry, Jeonbuk National University Medical SchoolDepartment of Psychiatry, Jeonbuk National University Medical SchoolAbstract 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.https://doi.org/10.1038/s41537-025-00592-3 |
| spellingShingle | Ling Li Thi Hung Le Woo Sung Kim Soyolsaikhan Odkhuu Chae Yeong Kang Ariana Setiani EunJin Jeon Fatima Zahra Rami Young-Chul Chung Predictors of relapse after discontinuing antipsychotics in patients with schizophrenia spectrum disorders Schizophrenia |
| title | Predictors of relapse after discontinuing antipsychotics in patients with schizophrenia spectrum disorders |
| title_full | Predictors of relapse after discontinuing antipsychotics in patients with schizophrenia spectrum disorders |
| title_fullStr | Predictors of relapse after discontinuing antipsychotics in patients with schizophrenia spectrum disorders |
| title_full_unstemmed | Predictors of relapse after discontinuing antipsychotics in patients with schizophrenia spectrum disorders |
| title_short | Predictors of relapse after discontinuing antipsychotics in patients with schizophrenia spectrum disorders |
| title_sort | predictors of relapse after discontinuing antipsychotics in patients with schizophrenia spectrum disorders |
| url | https://doi.org/10.1038/s41537-025-00592-3 |
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