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- Publisher Website: 10.1017/S0033291718003070
- Scopus: eid_2-s2.0-85056142518
- PMID: 30375301
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Article: Predicting first-episode psychosis patients who will never relapse over 10 years
Title | Predicting first-episode psychosis patients who will never relapse over 10 years |
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Authors | |
Keywords | Early psychosis Long-term follow-up Predictors Relapse Schizophrenia |
Issue Date | 2019 |
Publisher | Cambridge University Press. The Journal's web site is located at http://journals.cambridge.org/action/displayJournal?jid=PSM |
Citation | Psychological Medicine, 2019, v. 49 n. 13, p. 2206-2214 How to Cite? |
Abstract | Background:
Although relapse in psychosis is common, a small proportion of patients will not relapse in the long term. We examined the proportion and predictors of patients who never relapsed in the 10 years following complete resolution of positive symptoms from their first psychotic episode.
Method:
Patients who previously enrolled in a 12-month randomized controlled trial on medication discontinuation and relapse following first-episode psychosis (FEP) were followed up after 10 years. Relapse of positive symptoms was operationalized as a change from a Clinical Global Impression scale positive score of <3 for at least 3 consecutive months to a score of ⩾3 (mild or more severe). Baseline predictors included basic demographics, premorbid functioning, symptoms, functioning, and neurocognitive functioning.
Results:
Out of 178 first-episode patients, 37 (21%) never relapsed during the 10-year period. Univariate predictors (p ⩽ 0.1) of patients who never relapsed included a duration of untreated psychosis (DUP) ⩽30 days, diagnosed with non-schizophrenia spectrum disorders, having less severe negative symptoms, and performing better in logical memory immediate recall and verbal fluency tests. A multivariate logistic regression analysis further suggested that the absence of any relapsing episodes was significantly related to better short-term verbal memory, shorter DUP, and non-schizophrenia spectrum disorders.
Conclusions:
Treatment delay and neurocognitive function are potentially modifiable predictors of good long-term prognosis in FEP. These predictors are informative as they can be incorporated into an optimum risk prediction model in the future, which would help with clinical decision making regarding maintenance treatment in FEP. |
Persistent Identifier | http://hdl.handle.net/10722/265137 |
ISSN | 2023 Impact Factor: 5.9 2023 SCImago Journal Rankings: 2.768 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Hui, CLM | - |
dc.contributor.author | Honer, WG | - |
dc.contributor.author | Lee, HME | - |
dc.contributor.author | Chang, WC | - |
dc.contributor.author | Chan, KW | - |
dc.contributor.author | Chen, ESM | - |
dc.contributor.author | Pang, EPF | - |
dc.contributor.author | Lui, SSY | - |
dc.contributor.author | Chung, DWS | - |
dc.contributor.author | Yeung, WC | - |
dc.contributor.author | Ng, RMK | - |
dc.contributor.author | Lo, WTL | - |
dc.contributor.author | Jones, PB | - |
dc.contributor.author | Sham, PC | - |
dc.contributor.author | Chen, EYH | - |
dc.date.accessioned | 2018-11-20T02:00:53Z | - |
dc.date.available | 2018-11-20T02:00:53Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Psychological Medicine, 2019, v. 49 n. 13, p. 2206-2214 | - |
dc.identifier.issn | 0033-2917 | - |
dc.identifier.uri | http://hdl.handle.net/10722/265137 | - |
dc.description.abstract | Background: Although relapse in psychosis is common, a small proportion of patients will not relapse in the long term. We examined the proportion and predictors of patients who never relapsed in the 10 years following complete resolution of positive symptoms from their first psychotic episode. Method: Patients who previously enrolled in a 12-month randomized controlled trial on medication discontinuation and relapse following first-episode psychosis (FEP) were followed up after 10 years. Relapse of positive symptoms was operationalized as a change from a Clinical Global Impression scale positive score of <3 for at least 3 consecutive months to a score of ⩾3 (mild or more severe). Baseline predictors included basic demographics, premorbid functioning, symptoms, functioning, and neurocognitive functioning. Results: Out of 178 first-episode patients, 37 (21%) never relapsed during the 10-year period. Univariate predictors (p ⩽ 0.1) of patients who never relapsed included a duration of untreated psychosis (DUP) ⩽30 days, diagnosed with non-schizophrenia spectrum disorders, having less severe negative symptoms, and performing better in logical memory immediate recall and verbal fluency tests. A multivariate logistic regression analysis further suggested that the absence of any relapsing episodes was significantly related to better short-term verbal memory, shorter DUP, and non-schizophrenia spectrum disorders. Conclusions: Treatment delay and neurocognitive function are potentially modifiable predictors of good long-term prognosis in FEP. These predictors are informative as they can be incorporated into an optimum risk prediction model in the future, which would help with clinical decision making regarding maintenance treatment in FEP. | - |
dc.language | eng | - |
dc.publisher | Cambridge University Press. The Journal's web site is located at http://journals.cambridge.org/action/displayJournal?jid=PSM | - |
dc.relation.ispartof | Psychological Medicine | - |
dc.subject | Early psychosis | - |
dc.subject | Long-term follow-up | - |
dc.subject | Predictors | - |
dc.subject | Relapse | - |
dc.subject | Schizophrenia | - |
dc.title | Predicting first-episode psychosis patients who will never relapse over 10 years | - |
dc.type | Article | - |
dc.identifier.email | Hui, CLM: christyh@hku.hk | - |
dc.identifier.email | Lee, HME: edwinlhm@hku.hk | - |
dc.identifier.email | Chang, WC: changwc@hku.hk | - |
dc.identifier.email | Chan, KW: kwsherry@hku.hk | - |
dc.identifier.email | Sham, PC: pcsham@hku.hk | - |
dc.identifier.email | Chen, EYH: eyhchen@hku.hk | - |
dc.identifier.authority | Hui, CLM=rp01993 | - |
dc.identifier.authority | Lee, HME=rp01575 | - |
dc.identifier.authority | Chang, WC=rp01465 | - |
dc.identifier.authority | Chan, KW=rp00539 | - |
dc.identifier.authority | Sham, PC=rp00459 | - |
dc.identifier.authority | Chen, EYH=rp00392 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1017/S0033291718003070 | - |
dc.identifier.pmid | 30375301 | - |
dc.identifier.scopus | eid_2-s2.0-85056142518 | - |
dc.identifier.hkuros | 296080 | - |
dc.identifier.hkuros | 319212 | - |
dc.identifier.volume | 49 | - |
dc.identifier.issue | 13 | - |
dc.identifier.spage | 2206 | - |
dc.identifier.epage | 2214 | - |
dc.identifier.isi | WOS:000486220700011 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 0033-2917 | - |