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- Publisher Website: 10.1016/j.schres.2013.08.010
- Scopus: eid_2-s2.0-84884142945
- PMID: 23993865
- WOS: WOS:000324294700050
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Article: Predicting 1-year risk for relapse in patients who have discontinued or continued quetiapine after remission from first-episode psychosis
Title | Predicting 1-year risk for relapse in patients who have discontinued or continued quetiapine after remission from first-episode psychosis |
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Authors | |
Keywords | Relapse prevention Maintenance First-episode schizophrenia Double blind Randomized controlled trial |
Issue Date | 2013 |
Citation | Schizophrenia Research, 2013, v. 150 n. 1, p. 297-302 How to Cite? |
Abstract | Objective: Relapse is common among patients with psychotic disorders. Identification of relapse predictors is important for decision regarding maintenance medication. Naturalistic studies often identify medication non-adherence as a dominant predictor. There are relatively few studies for predictors where adherence is already known. It is this situation i.e., discontinuation of medication that predictors will be most useful. We identify predictors for relapse in situations of (i) discontinuation and (ii) continuation of maintenance medication. Method: Analysis of relapse predictors is based on a randomized controlled study (n= 178) comparing relapse rates between patients who discontinued or continued medication for at least 1. year following first-episode psychosis. Demographic, clinical and neurocognitive variables were assessed at baseline as predictors of relapse within 1. year. Results: Risk of relapse was 79% in the discontinuation group and 41% in the maintenance group. Predictors in the discontinuation group were diagnosis of schizophrenia, poorer semantic fluency performance, and higher blink rate. Predictors in the continuation group were disinhibition soft signs and more general psychopathology symptoms. Conclusion: Different predictors of relapse were identified for first episode psychosis patients who discontinued and continued maintenance medication. Neurocognitive dysfunctions are important predictors for both groups. While signs of frontal dysfunction and dopamine hyperactivity predict relapse in the discontinuation group, sign of cognitive disinhibition predicts relapse in the continuation group. © 2013 Elsevier B.V. |
Persistent Identifier | http://hdl.handle.net/10722/192734 |
ISSN | 2023 Impact Factor: 3.6 2023 SCImago Journal Rankings: 1.374 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Hui, CLM | en_US |
dc.contributor.author | Wong, GHY | en_US |
dc.contributor.author | Tang, YMJ | en_US |
dc.contributor.author | Chang, WC | en_US |
dc.contributor.author | Chan, SKW | en_US |
dc.contributor.author | Lee, EHM | en_US |
dc.contributor.author | Lam, MML | en_US |
dc.contributor.author | Chiu, CPY | en_US |
dc.contributor.author | Law, CW | en_US |
dc.contributor.author | Chung, DWS | en_US |
dc.contributor.author | Tso, S | en_US |
dc.contributor.author | Pang, EPF | en_US |
dc.contributor.author | Chan, KT | en_US |
dc.contributor.author | Wong, YC | en_US |
dc.contributor.author | Mo, FYM | en_US |
dc.contributor.author | Chan, KPM | en_US |
dc.contributor.author | Hung, SF | en_US |
dc.contributor.author | Honer, WG | en_US |
dc.contributor.author | Chen, EYH | en_US |
dc.date.accessioned | 2013-11-20T05:00:04Z | - |
dc.date.available | 2013-11-20T05:00:04Z | - |
dc.date.issued | 2013 | en_US |
dc.identifier.citation | Schizophrenia Research, 2013, v. 150 n. 1, p. 297-302 | en_US |
dc.identifier.issn | 0920-9964 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/192734 | - |
dc.description.abstract | Objective: Relapse is common among patients with psychotic disorders. Identification of relapse predictors is important for decision regarding maintenance medication. Naturalistic studies often identify medication non-adherence as a dominant predictor. There are relatively few studies for predictors where adherence is already known. It is this situation i.e., discontinuation of medication that predictors will be most useful. We identify predictors for relapse in situations of (i) discontinuation and (ii) continuation of maintenance medication. Method: Analysis of relapse predictors is based on a randomized controlled study (n= 178) comparing relapse rates between patients who discontinued or continued medication for at least 1. year following first-episode psychosis. Demographic, clinical and neurocognitive variables were assessed at baseline as predictors of relapse within 1. year. Results: Risk of relapse was 79% in the discontinuation group and 41% in the maintenance group. Predictors in the discontinuation group were diagnosis of schizophrenia, poorer semantic fluency performance, and higher blink rate. Predictors in the continuation group were disinhibition soft signs and more general psychopathology symptoms. Conclusion: Different predictors of relapse were identified for first episode psychosis patients who discontinued and continued maintenance medication. Neurocognitive dysfunctions are important predictors for both groups. While signs of frontal dysfunction and dopamine hyperactivity predict relapse in the discontinuation group, sign of cognitive disinhibition predicts relapse in the continuation group. © 2013 Elsevier B.V. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Schizophrenia Research | en_US |
dc.subject | Relapse prevention | - |
dc.subject | Maintenance | - |
dc.subject | First-episode schizophrenia | - |
dc.subject | Double blind | - |
dc.subject | Randomized controlled trial | - |
dc.title | Predicting 1-year risk for relapse in patients who have discontinued or continued quetiapine after remission from first-episode psychosis | en_US |
dc.type | Article | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1016/j.schres.2013.08.010 | en_US |
dc.identifier.pmid | 23993865 | - |
dc.identifier.scopus | eid_2-s2.0-84884142945 | en_US |
dc.identifier.hkuros | 227761 | - |
dc.identifier.volume | 150 | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.spage | 297 | en_US |
dc.identifier.epage | 302 | en_US |
dc.identifier.isi | WOS:000324294700050 | - |
dc.identifier.issnl | 0920-9964 | - |