Literature DB >> 35698876

Clinical outcomes in brief psychotic episodes: a systematic review and meta-analysis.

U Provenzani1, G Salazar de Pablo2, M Arribas2, F Pillmann3,4, P Fusar-Poli1,2,5.   

Abstract

AIMS: Patients with brief psychotic episodes (BPE) have variable and fluctuating clinical outcomes which challenge psychiatric care. Our meta-analysis aims at providing a comprehensive summary of several clinical outcomes in this patient group.
METHODS: A multistep systematic PRISMA/MOOSE-compliant literature search was performed for articles published from inception until 1st March 2021. Web of Science database was searched, complemented by manual search of original articles reporting relevant outcomes (psychotic recurrence, prospective diagnostic change or stability, remission, quality of life, functional status, mortality and their predictors) for patients diagnosed with acute and transient psychotic disorders (ATPD), brief psychotic disorders (BPD), brief intermittent psychotic symptoms (BIPS) and brief limited intermittent psychotic symptoms (BLIPS). Random-effects methods and Q-statistics were employed, quality assessment with Newcastle-Ottawa Scale, assessment of heterogeneity with I2 index, sensitivity analyses (acute polymorphic psychotic disorders, APPD) and multiple meta-regressions, assessment of publication bias with funnel plot, Egger's test and meta-regression (psychotic recurrence and sample size).
RESULTS: A total of 91 independent articles (n = 94 samples) encompassed 37 ATPD, 24 BPD, 19 BLIPS and 14 BIPS samples, totalling 15 729 individuals (mean age: 30.89 ± 7.33 years, mean female ratio: 60%, 59% conducted in Europe). Meta-analytical risk of psychotic recurrence for all BPE increased from 15% (95% confidence interval (CI) 12-18) at 6 months, 25% (95% CI 22-30) at 12 months, 30% (95% CI 27-33) at 24 months and 33% (95% CI 30-37) at ⩾36 months follow-up, with no differences between ATPD, BPD, BLIPS and BIPS after 2 years of follow-up. Across all BPE, meta-analytical proportion of prospective diagnostic stability (average follow-up 47 months) was 49% (95% CI 42-56); meta-analytical proportion of diagnostic change (average follow-up 47 months) to schizophrenia spectrum psychoses was 19% (95% CI 16-23), affective spectrum psychoses 5% (95% CI 3-7), other psychotic disorders 7% (95% CI 5-9) and other (non-psychotic) mental disorders 14% (95% CI 11-17). Prospective diagnostic change within APPD without symptoms of schizophrenia was 34% (95% CI 24-46) at a mean follow-up of 51 months: 18% (95% CI 11-30) for schizophrenia spectrum psychoses and 17% (95% CI 10-26) for other (non-psychotic) mental disorders. Meta-analytical proportion of baseline employment was 48% (95% CI 38-58), whereas there were not enough data to explore the other outcomes. Heterogeneity was high; female ratio and study quality were negatively and positively associated with risk of psychotic recurrence, respectively. There were no consistent factor predicting clinical outcomes.
CONCLUSIONS: Short-lived psychotic episodes are associated with a high risk of psychotic recurrences, in particular schizophrenia spectrum disorders. Other clinical outcomes remain relatively underinvestigated. There are no consistent prognostic/predictive factors.

Entities:  

Keywords:  ATPD; BPD; brief psychotic episode; psychosis

Mesh:

Year:  2021        PMID: 35698876      PMCID: PMC8581951          DOI: 10.1017/S2045796021000548

Source DB:  PubMed          Journal:  Epidemiol Psychiatr Sci        ISSN: 2045-7960            Impact factor:   7.818


Introduction

Since the 19th century, brief psychotic episodes (BPE) have been characterised as a divergent and shifting nosographic concept, providing a major challenge both for clinical practice and classification. Historically, their fleeting and dynamical nature constituted an early anomaly within the Kraepelinian dichotomous concept of psychoses (dementia praecox v. manic-depressive illness; Kraepelin, 1899). The historical development of operationalisations for BPE has been previously appraised (Fusar-Poli et al., 2016a) by our group. Briefly, World Health Organization includes the concept of acute and transient psychotic disorders (ATPD) in ICD-10 within the group of ‘schizophrenia, schizotypal and delusional disorders’ (World Health Organization, 1992), with six subtypes, including disorders defined by acute onset of frank psychotic symptoms (acute within 2 weeks; abrupt within 48 h) and complete recovery within 1–3 months even with antipsychotic treatment. However, the 11th edition of the ICD has narrowed the ATPD category to the subtype of acute polymorphic psychotic disorders (APPD) without the symptoms of schizophrenia (Castagnini and Foldager, 2014). DSM-5 includes brief psychotic disorder (BPD) within the ‘schizophrenia spectrum and other psychotic disorders’, defined by the presence of at least one across four of five core symptoms of schizophrenia (negative symptoms are not included): delusions, hallucinations, disorganised speech and grossly disorganised or catatonic behaviour (American Psychiatric Association, 2013). Duration of the episode must be less than 1 month and sudden onset and polymorphic and fluctuating nature of symptoms are not mandatory criteria (Gaebel, 2012). The paradigm of clinical high-risk states of psychosis (CHR-P) operationalised BPE not as frank psychotic disorder, but as a state of increased clinical risk for developing subsequent persistent psychotic disorders. Brief limited intermittent psychotic symptoms (BLIPS) (Yung et al., 1996) last less than 7 days and accommodate potential ‘transdiagnostic’ (Fusar-Poli, 2019; Fusar-Poli et al., 2019c) comorbidities. Brief intermittent psychotic symptoms (BIPS) exclude individuals with seriously disorganising and dangerous features (Miller et al., 2003) and extend the duration of brief psychotic symptoms up to 3 months. Given these differences, in previous studies we employed meta-analyses to test the prognostic significance of these competing operationalisations. We found no difference in their risk of psychotic recurrence at any follow-up timepoint, but a lower risk of recurrence compared to first-episode remitting schizophrenia (Fusar-Poli et al., 2016a). We also demonstrated meta-analytically that, at 4.5 years follow-up, about 56% of patients with BPE retained their index diagnosis (prospective diagnostic stability) whereas 44% shifted to other diagnoses (prospective diagnostic change), schizophrenia being the most frequent one (21%, 95% confidence interval (CI) 16–25) (Fusar-Poli et al., 2016c). Other clinical outcomes such as remission, quality of life, vocational status and mortality have traditionally seen as more favourable than in schizophrenia (Pillmann and Marneros, 2005) but findings have been conflicting. Similarly, predictors of these outcomes appear patchy and inconsistent and require a systematic appraisal. These meta-analytic summaries had been completed more than 5 years ago, and several recent publications have emerged, which require periodical updates of the evidence. Our aim was to provide an updated systematic review and meta-analysis which comprehensively addresses for the first time multiple clinical outcomes in BPE encompassing psychotic recurrence, prospective diagnostic stability and change, remission, quality of life, functional/vocational status and mortality and systematically appraise the consistency of predictors of these outcomes.

Methods

This study (protocol registered on https://osf.io/5dw98) was conducted in accordance with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (Moher et al., 2009) and the Meta-analysis Of Observational Studies in Epidemiology (Stroup et al., 2000) (online Supplementary eTables 1 and 2).

Search strategy and selection criteria

A multistep systematic PRISMA-compliant literature search was performed for articles published from inception until 1st March 2021 (see the details in online Supplementary eMethods 1). The references of systematic reviews or meta-analyses that were retrieved during the systematic literature search were manually searched. Articles identified were screened as abstracts. The remaining articles were assessed for inclusion eligibility against the inclusion and exclusion criteria and decisions were made regarding their final inclusion in the meta-analysis. The inclusion criteria were: (a) original studies, published in English; (b) conducted in individuals meeting BIPS or BLIPS criteria according to Structured Interview for Psychosis-Risk Syndromes (SIPS any version) (McGlashan TH, 2010) or Comprehensive Assessment of At-Risk Mental States (CAARMS any version) (Yung et al., 2006); ATPD according to ICD (any version) criteria (World Health Organization, 1992); or BPD according to DSM (any version) criteria (American Psychiatric Association, 2013) and (c) reporting on at least one of meta-analytic outcomes (see below). The exclusion criteria were: (a) reviews, conference proceedings or pilot data sets; (b) unpublished data; (c) studies evaluating BPE but using criteria different from those established above; (d) studies that did not report specific information on the ATPD/BPD/BIPS/BLIPS group alone, but reported composite results including other subgroups (e.g. attenuated psychosis syndrome, APS and genetic risk and deterioration syndrome, GRD) and (e) studies with samples of individuals with other persisting psychotic disorders (e.g. schizophrenia). For the meta-analyses we additionally excluded studies with overlapping datasets, selecting the largest and most recent data set. Disagreements in selection criteria were resolved through discussion and consensus with a senior researcher.

Outcome measures and data extraction

Two independent researchers extracted data. The primary outcome was risk of psychotic recurrence after at least 3 months since the index BPE. Secondary outcomes were the prospective diagnostic stability (defined as the proportion of baseline patients retaining the same ICD/DSM psychotic diagnosis over time) (Fusar-Poli et al., 2016c) or diagnostic change to any other mental disorder (defined as the proportion of baseline patients shifting to other ICD/DSM diagnoses at follow-up) (Fusar-Poli et al., 2016c), remission (defined as indicated in each study), quality of life (defined as indicated in each study, at baseline and/or follow-up), functional/vocational status (defined as indicated in each study at baseline and/or follow-up), mortality (number of patients deceased during the follow-up) or predictors of these outcomes (any regression models testing the association between factors and clinical outcomes, within longitudinal designs). When the predictors were not directly presented in the text, they were extracted from associated information (e.g. graphs); corresponding authors were also contacted to retrieve missing data. From each study, a predetermined set of variables characterising the study, outcomes or predictors was included (online Supplementary eMethods 2). Data were extracted closest to the follow-up time of interest. Disagreements in selection/extraction criteria were resolved through discussion and consensus with a senior researcher.

Quality assessment

The quality of the included studies was evaluated using a modified version of the Newcastle-Ottawa Scale (NOS) for cohort studies, which has been repeatedly used (Catalan et al., 2020). Studies were awarded a maximum of eight points on items related to the representativeness, exposure, outcomes, follow-up period and loss to follow-up.

Strategy for data synthesis

Meta-analyses were attempted when there were enough data for each outcome, otherwise outcomes were systematically described. The primary meta-analytical outcome was risk of psychotic recurrence across BPE. This was estimated by extracting the raw counts of psychotic recurrence in individuals with an initial short BPE (defined according to the inclusion criteria (b)) at 6 months (including a 3–9 months range); 12 months (including a 10–18 months range); 24 months (including a 19–29 months range); 36 months (including ⩾30 months) follow-up. The primary effect size was the meta-analytical proportion of psychotic recurrence. Because the studies were expected to be heterogenous, random-effects models were used. Heterogeneity among study point estimates was assessed with the Q-statistics, with the proportion of the total variability in the effect size estimates being evaluated with the I2 index (Lipsey and Wilson, 2001) which does not depend upon the number of studies included. The meta-analysis was stratified by operationalisations of BPE: BIPS, BLIPS, ATPD or BPD. The four main operationalisations (BIPS, BLIPS, ATPD and BPD) were compared testing for between-group heterogeneity (Q). Sensitivity analyses, removing one study at a time, were conducted to test the robustness of results. Publication bias was assessed with funnel plot inspection, Egger's test and meta-regression between the main outcome (psychotic recurrence) as dependent variable and sample size as independent variable. Planned meta-analyses on secondary outcomes included: (i) prospective diagnostic stability (effect size: proportion), (ii) prospective diagnostic change to any other mental disorder (effect size: proportion), (iii) remission (effect size: standardised mean difference), (iv) quality of life (effect size: standardised mean difference) at baseline and/or follow-up, (v) functional/vocational status (effect size: proportion) at baseline and/or follow-up and (vi) mortality (effect size: proportion). The analyses (i–ii) were not conducted for BLIPS/BIPS because these do not correspond to standard ICD/DSM diagnoses at baseline and were conducted pooling all available studies and estimating the average follow-up time. Within analyses (i–ii), we additionally clustered the individual ICD/DSM diagnoses across NICE-compliant diagnostic spectra (National Institute for Health and Care Excellence, 2014): schizophrenia spectrum psychoses (schizophrenia, schizophreniform disorder and schizoaffective disorder), affective spectrum psychoses (mania with psychosis and/or bipolar disorder with psychosis and/or depression with psychosis), other psychotic disorders and other (non-psychotic) mental disorders. For all outcomes (primary and secondary), we also sought to perform additional analyses restricted to the ATPD subtype which will be retained in the ICD-11 version (APPD without symptoms of schizophrenia). Sensitivity analyses were planned on the primary outcome, by excluding one study per time and rerunning the analyses. We performed multiple meta-regression analyses (i.e. employing two meta-regressor factors at the same time) of factors that were known to moderate transition risk when at least ten studies were available. The fixed meta-regressor factor was follow-up time, which was combined with: mean age, female ratio, publication year and study quality (NOS score). Comprehensive Meta-Analysis Software v3.0 was used for the analyses (Borenstein et al., 2013).

Results

Database

The systematic literature search (PRISMA flow-chart, Fig. 1) identified 91 independent articles, some of which contributed with more than one sample. The total number of samples (n = 94) included 37 ATPD, 24 BPD, 19 BLIPS and 14 BIPS samples. Eight samples (1262 patients) comprising ATPD subjects also provided data for APPD without symptoms of schizophrenia subtype. The total database included 15 729 individuals, with a mean age of 30.89 ± 7.33 years and an average female ratio of 60.0% (range from 8.3 to 86.2%). In total, 59% of the studies were conducted in Europe, 28% in Asia, 7% in North America, 3% in Australia, 2% in Africa and 1% in South America. The characteristics of the studies included in the meta-analyses are illustrated in online Supplementary eTable 3.
Fig. 1.

PRISMA 2009 flow diagram.

PRISMA 2009 flow diagram.

Risk of psychotic recurrence of BPE

Ninety-one independent samples reported primary outcome data at different follow-up time points (Table 1 and Fig. 2). The meta-analytical risk of psychotic recurrence for all BPE was 15% (95% CI 12–18) at 6 months, 25% (95% CI 22–30) at 12 months, 30% (95% CI 27–33) at 24 months and 33% (95% CI 30–37) at ⩾36 months follow-up. The meta-analytical risk of psychotic recurrence for ATPD was 10% (95% CI 7–15) at 6 months, 20% (95% CI 16–25) at 12 months, 28% (95% CI 25–31) at 24 months and 31% (95% CI 27–35) at ⩾36 months follow-up; for BIPS, 24% (95% CI 16–34) at 6 months, 38% (95% CI 29–48) at 12 months, 38% (95% CI 29–48) at 24 months and 44% (95% CI 33–55) at ⩾36 months follow-up; for BLIPS, 15% (95% CI 10–23) at 6 months, 29% (95% CI 18–43) at 12 months, 34% (95% CI 17–56) at 24 months and 33% (95% CI 26–40) at ⩾36 months follow-up; for BPD, 10% (95% CI 1–57) at 6 months, 23% (95% CI 14–36) at 12 months, 37% (95% CI 27–49) at 24 months and 43% (95% CI 30–37) at ⩾36 months follow-up. There were significant between-group differences at 6 months (p = 0.020) and 12 months (p = 0.003), mostly driven by the BIPS group, but not at 24 (p = 0.110) and at ⩾36 (p = 0.100) months (Table 1). The risk of psychotic recurrence in APPD without symptoms of schizophrenia was 21% (95% CI 14–31) at mean follow-up of 51 months (online Supplementary eFig. 1).
Table 1.

Meta-analysis of risk of psychotic recurrences in BPE

Follow-up, months
Characteristic61224⩾36
No. of samples22353140
No. of patients analysed387445594189 13 624
Risk of psychotic recurrence, mean (95% CI)
ATPD0.10 (0.07–0.15)0.20 (0.16–0.25)0.28 (0.25–0.31)0.31 (0.27–0.35)
BIPS0.24 (0.16–0.34)0.38 (0.29–0.48)0.38 (0.29–0.48)0.44 (0.33–0.55)
BLIPS0.15 (0.10–0.23)0.29 (0.18–0.43)0.34 (0.17–0.56)0.33 (0.26–0.40)
BPD0.10 (0.01–0.57)0.23 (0.14–0.36)0.37 (0.27–0.49)0.43 (0.28–0.60)
BPE (pooled)0.15 (0.12–0.18)0.25 (0.22–0.30)0.30 (0.27–0.33)0.33 (0.30–0.37)
ATPD v. BIPS v. BLIPS v. BPD test for between-group heterogeneity (Q)9.8013.706.106.17
p value0.02<0.010.110.10
I2 (%)67.7866.6743.8184.55

ATPD, acute and transient psychotic disorder; BIPS, brief intermittent psychotic symptoms; BLIPS, brief limited intermittent psychotic symptoms; BPD, brief psychotic disorder; BPE, brief psychotic episodes.

Fig. 2.

Meta-analysis of risk of psychotic recurrences in BPE. ATPD, acute and transient psychotic disorder; BIPS, brief intermittent psychotic symptoms; BLIPS, brief limited intermittent psychotic symptoms; BPD, brief psychotic disorder.

Meta-analysis of risk of psychotic recurrences in BPE. ATPD, acute and transient psychotic disorder; BIPS, brief intermittent psychotic symptoms; BLIPS, brief limited intermittent psychotic symptoms; BPD, brief psychotic disorder. Meta-analysis of risk of psychotic recurrences in BPE ATPD, acute and transient psychotic disorder; BIPS, brief intermittent psychotic symptoms; BLIPS, brief limited intermittent psychotic symptoms; BPD, brief psychotic disorder; BPE, brief psychotic episodes.

Proportion of prospective diagnostic stability and diagnostic change

Sixty-one independent samples (15 034 patients) reported prospective diagnostic stability or diagnostic change data at different follow-up time points (Table 2). The meta-analytical proportion of prospective diagnostic stability (average follow-up 47 months) was 49% (95% CI 42–56) for all BPE. It was 50% (95% CI 42–59) for ATPD and 46% (95% CI 34–59) for BPD (Table 2 and Fig. 3), with no significant between-group differences (p = 0.59).
Table 2.

Prospective diagnostic stability and change of BPE

Proportion of prospective diagnostic stability, mean (95% CI)Proportion of prospective diagnostic change, mean (95% CI)
ATPD0.50 (0.42–0.59)0.37 (0.29–0.45)
BPD0.46 (0.34–0.59)0.50 (0.39–0.62)
BPE (pooled)0.49 (0.42–0.56)0.41 (0.35–0.48)
ATPD v. BPD test for between-group heterogeneity (Q)0.303.47
p value0.590.06
I297.3397.17

ATPD, acute and transient psychotic disorder; BPD, brief psychotic disorder; BPE, brief psychotic episodes.

Fig. 3.

Meta-analysis of prospective diagnostic stability and change of BPE. ATPD, acute and transient psychotic disorder; BPD, brief psychotic disorder

Note: Diagnostic stability and diagnostic change values are not reciprocal, because they were calculated analysing different datasets.

Prospective diagnostic stability and change of BPE ATPD, acute and transient psychotic disorder; BPD, brief psychotic disorder; BPE, brief psychotic episodes. Meta-analysis of prospective diagnostic stability and change of BPE. ATPD, acute and transient psychotic disorder; BPD, brief psychotic disorder Note: Diagnostic stability and diagnostic change values are not reciprocal, because they were calculated analysing different datasets. The meta-analytical proportion of prospective diagnostic change (average follow-up 47 months) was 41% (95% CI 35–48) for all BPE: 37% (95% CI 29–45) for ATPD and 50% (95% CI 39–62) for BPD. There were no significant between-group differences (p = 0.063). Specifically, the meta-analytical proportion of diagnostic change to schizophrenia spectrum psychoses was 19% (95% CI 16–23) for all BPE: 19% (95% CI 15–24) for ATPD, 20% (95% CI 14–28) for BPD (between-group difference p = 0.770); to affective spectrum psychoses: 5% (95% CI 3–7) for all BPE, 1% (95% CI 0.6–2) for ATPD, 10% (95% CI 6–15) for BPD (between-group difference p < 0.01); to other psychotic disorders: 7% (95% CI 5–9) for all BPE, 3% (95% CI 2–5) for ATPD, 12% (95% CI 8–16) for BPD (between-group difference p < 0.010); to other (non-psychotic) mental disorders: 14% (95% CI 11–17) for all BPE, 14% (95% CI 12–18) for ATPD, 14% (95% CI 8–23) for BPD (between-group difference p = 0.950). The meta-analytical prospective diagnostic stability for APPD without symptoms of schizophrenia (average follow-up 51 months) was 56% (95% CI 46–66), prospective diagnostic change was 34% (95% CI 24–46), proportion of diagnostic change to schizophrenia spectrum psychoses was 18% (95% CI 11–30) and of other (non-psychotic) mental disorders was 17% (10–26%) (online Supplementary eFig. 1). There were not enough data to meta-analyse change from APPD to affective spectrum psychoses or to other psychotic disorders.

Remission

There were not enough data to meta-analyse this outcome. Four studies (two BPD and two ATPD samples) (Rahm and Cullberg, 2007; Castagnini et al., 2008; Castro-Fornieles et al., 2011; Bjorkenstam et al., 2013) reported proportion of remitted patients, defined as not having any mental disorder at follow-up, ranging from 14 (Castagnini et al., 2008) to 67% (Rahm and Cullberg, 2007).

Quality of life

There were not enough data to meta-analyse this outcome. Two studies reported outcomes related to quality of life. One study (Aadamsoo et al., 2011) found that the World Health Organization Quality of Life scale (WHO-QoL) scores were not significantly different between ATPD and schizophrenia at baseline, but it became better in ATPD at follow-up. Another study (Satghare et al., 2020) reported that BPD, but not schizophrenia, is positively correlated with WHO-QoL scores at baseline.

Functional/vocational status

Twelve samples (907 patients) (nine ATPD, two BLIPS, one BPD) reported the functional/vocational status. The meta-analytical proportion of patients with BPE who were employed at baseline was 48% (95% CI 38–58). There were not enough data to meta-analyse this outcome at follow-up.

Mortality

There were not enough data to meta-analyse this outcome. Three studies (Castagnini et al., 2008, 2013a; Korner et al., 2009), all including ATPD samples, independently reported a proportion of deaths of 17.0% at 60 months follow-up (Castagnini et al., 2008), 5.6% at 84 months (Castagnini et al., 2013a) and 33.5% at 96 months (Korner et al., 2009).

Predictors of clinical outcomes

Ten studies reported predictors for psychotic recurrence in BPE (Table 3). No factor was consistently associated with psychotic recurrence. Predictors of diagnostic stability partially overlap (but not consistently) with predictors of recurrence, with studies suggesting that older age at onset (Aadamsoo et al., 2011; Queirazza et al., 2014; Poon and Leung, 2017; Wang et al., 2018), female gender (Singh et al., 2004; Castagnini et al., 2013b; Castagnini and Foldager, 2014; Queirazza et al., 2014; Wang et al., 2018), abrupt onset (Sajith et al., 2002; Rusaka and Rancans, 2014a), seriously disorganising or dangerous symptoms (Fusar-Poli et al., 2017a), polymorphic symptomatology and absence of schizophrenic features at onset (Sajith et al., 2002; Aadamsoo et al., 2011; Salvatore et al., 2011; Castagnini et al., 2013b; Rusaka and Rancans, 2014a, 2014b) predict higher diagnostic stability (Lopez-Diaz et al., 2020). One study suggested that female gender was associated with early remission (Esan and Fawole, 2014). There were no predictors of quality of life, functional/vocational status or mortality.
Table 3.

Predictors of psychotic recurrence in BPE (ATPD/BPD/BLIPS/BIPS)

PredictorAssociation with psychotic recurrence
Acute onset↓(Rusaka and Rancans, 2014b)↔ (Rusaka and Rancans, 2014b; Fusar-Poli et al., 2019a, 2019b, 2019c)
Acute stress↔(Fusar-Poli et al., 2019a, 2019b, 2019c)
Affective disturbances↔(Rusaka and Rancans, 2014a, 2014b)
Antipsychotic dosage↑(Wang et al., 2018)
Anxiety↑ (Rusaka and Rancans, 2014a); ↔(Suda et al., 2005; Rusaka and Rancans, 2014b)
Delusional ideation↔(Suda et al., 2005; Rusaka and Rancans, 2014a, 2014b)
Depressed mood↔(Suda et al., 2005; Rusaka and Rancans, 2014a, 2014b)
Duration of psychotic symptoms↔(Fusar-Poli et al., 2017a, 2019a, 2019b, 2019c; Wang et al., 2018)
Duration/number of hospitalisations over follow-up↑(Aadamsoo et al., 2011; Queirazza et al., 2014; Poon and Leung, 2017; Wang et al., 2018);↔(Suda et al., 2005; Rusaka and Rancans, 2014b)
Employment↔(Aadamsoo et al., 2011; Fusar-Poli et al., 2017a)
Ethnicity↔(Fusar-Poli et al., 2017a)
Family history of mental disorders↑(Wang et al., 2018);↔(Suda et al., 2005; Abe et al., 2006; Rusaka and Rancans, 2014b; Poon and Leung, 2017)
Frequency of episodes over follow-up↑(Fusar-Poli et al., 2017a);↔ (Suda et al., 2005)
Hallucinations↑(Rusaka and Rancans, 2014a);↔ (Suda et al., 2005; Rusaka and Rancans, 2014b)
Hazardousness↔(Aadamsoo et al., 2011)
Illicit substances↔(Fusar-Poli et al., 2019a, 2019b, 2019c)
Irritability or mood elation↔(Suda et al., 2005)
Level of functioning↔(Aadamsoo et al., 2011; Fusar-Poli et al., 2017a)
Life events↔(Suda et al., 2005; Abe et al., 2006)
Male gender↑(Queirazza et al., 2014; Wang et al., 2018);↔(Suda et al., 2005; Abe et al., 2006; Aadamsoo et al., 2011; Fusar-Poli et al., 2017a; Poon and Leung, 2017)
Marital status↔(Aadamsoo et al., 2011; Fusar-Poli et al., 2017a)
Polymorphic symptomatology↓(Rusaka and Rancans, 2014a);↔(Suda et al., 2005; Rusaka and Rancans, 2014b)
Poor premorbid social functioning↑(Suda et al., 2005);↔(Suda et al., 2005; Rusaka and Rancans, 2014b)
Quality of life↔(Aadamsoo et al., 2011)
Seriously disorganising or dangerous symptoms↑(Fusar-Poli et al., 2017a, 2019a, 2019b, 2019c)
Severity of psychotic symptoms↔(Aadamsoo et al., 2011; Fusar-Poli et al., 2017a)
Sleep disturbances↑ (Suda et al., 2005);↔(Suda et al., 2005; Rusaka and Rancans, 2014a, 2014b)
Thought disorder↑(Suda et al., 2005);↔(Suda et al., 2005; Rusaka and Rancans, 2014a, 2014b)
Years of education↔(Aadamsoo et al., 2011)
Younger age↑(Abe et al., 2006; Aadamsoo et al., 2011; Queirazza et al., 2014; Poon and Leung, 2017; Wang et al., 2018);↔(Suda et al., 2005; Rusaka and Rancans, 2014b; Fusar-Poli et al., 2017a)

BPE, brief psychotic episodes.

↑: predictor is associated with higher risk of psychotic recurrence.

↔: predictor is not associated with a change in psychotic recurrence.

↓: predictor is associated with lower risk of psychotic recurrence.

Predictors of psychotic recurrence in BPE (ATPD/BPD/BLIPS/BIPS) BPE, brief psychotic episodes. ↑: predictor is associated with higher risk of psychotic recurrence. ↔: predictor is not associated with a change in psychotic recurrence. ↓: predictor is associated with lower risk of psychotic recurrence.

Sensitivity analyses

Excluding one study at a time at each follow-up point for primary outcome confirmed the robustness of the findings (sensitivity plots are presented in the online Supplementary eFigs 2a–d).

Heterogeneity and multiple meta-regression

Heterogeneity (I2) ranged from 43.8% at 24 months to 84.6% at ⩾36 months for risk of psychotic recurrences (online Supplementary eResults 1). Significant multiple meta-regression analyses (online Supplementary eTable 4) associated the female ratio (β = 0.0040; f = 4.03, p = 0.022) with a lower proportion of recurrence; study quality (β = 0.0018; f = 3.47, p = 0.036) and with higher proportion of recurrence (scatterplots are depicted in online Supplementary eFigs 3 and 4).

Publication bias

Visual inspection of the funnel plot did not reveal publication bias. Egger's test for funnel plot asymmetry was not significant (p = 0.27). There was no meta-regression association between sample size and psychotic recurrence (online Supplementary eFigs 5a–c).

Discussion

To our best knowledge, this is the first systematic review and meta-analysis to have appraised multiple clinical outcomes across several operationalisations of BPE. We showed that these patients have a high risk of developing psychotic recurrences, in particular schizophrenia spectrum psychoses, and high proportion of baseline unemployment, while there were not enough data to explore remission, quality of life and mortality and no consistent factors predicting outcomes. As one in two patients presenting with short-lived psychotic episodes is at risk of recurrences, close monitoring and secondary preventive strategies should be systematically implemented for this vulnerable patient group. This is the largest meta-analysis of BPE, which encompasses four operationalisations (ATPD, BPD, BLIPS and BIPS) over 91 independent articles and 15 729 individuals. Their mean age of about 31 years falls in the upper range of the 15–35-year window for highest risk of psychosis in the general population (Radua et al., 2018). A recent meta-analysis of epidemiological studies completed by our group confirmed that the peak age at onset is 18.5 years, and the median age of onset for ATPD is past 30 years (at 35 years), compared to 25 years for schizophrenia spectrum disorder (Solmi et al., 2021). Despite a variable pattern of course and outcome reported by the individual studies, reflected by the high levels of heterogeneity in our analyses, we found that about one-third of patients with BPE will develop a psychotic recurrence after 3 years. In the short term, the BIPS group showed a higher risk of psychotic recurrence. This finding is in line with previous evidence highlighting the substantial higher level of risk in BLIPS/BIPS subgroups compared to other CHR-P subgroups (APS and GRD) (Fusar-Poli et al., 2016b). The higher risk of recurrence in BIPS might be related to its 3-month duration criteria, compared to 7-days in BLIPS and 1 month in BPD and most ATPD subtypes. A longer duration of baseline psychotic symptoms is expected to increase the risk of recurrence (Aadamsoo et al., 2011; Queirazza et al., 2014; Poon and Leung, 2017; Wang et al., 2018). We also demonstrated that the presence of seriously disorganising or dangerous features within BLIPS/BIPS is associated with an extreme risk of psychotic recurrence over time (90% at 5-years) (Fusar-Poli et al., 2017a). However, these differences of risk for psychotic recurrences across operationalisations were not maintained in the long term. Importantly, we observed that the risk of psychotic recurrence continues increasing up to 3 years, suggesting that these patients should be offered clinical monitoring and relapse prevention strategies for at least 3 years after their index episode (Fusar-Poli et al., 2017b, 2020; Rutigliano et al., 2018). Unfortunately, first-episode services tend to discharge patients who have spontaneously remitted from an initial episode of psychosis, whereas CHR-P services typically cap their care at 2 years only (the average duration of care in these teams is of 24 months; Salazar de Pablo et al., 2021). Consequently, patients with BPE have several unmet needs that are not addressed by current mental health services. For example, only 3% of BLIPS engage with the minimum effective dose of cognitive behavioural therapy, which is also of questionable efficacy for this patient population (Fusar-Poli et al., 2019a, , ). We also showed that about half of patients with BPE will retain the initial diagnoses, compared to 90% in schizophrenia (90%) (Fusar-Poli et al., 2016c). About 19% of BPE is being rediagnosed as schizophrenia spectrum psychoses, 5% as affective spectrum psychoses (higher in BPD than ATPD), 7% as other psychotic disorders (higher in BPD than ATPD) and 14% other (non-psychotic) mental disorders. These findings corroborate the conceptual foundations of BPE, which are not static nosological entities (Ey, 1954; Pillmann and Marneros, 2003), but have an intrinsically dynamic nature. Diagnostic changes are therefore to be expected, reflecting the natural trajectory of the disorders. This presents an unprecedented empirical prognostic and preventive opportunity for clinical practice, overcoming the sterile discussion about prospective instability of static diagnostic snapshots (Fusar-Poli et al., 2018). Notably, our sensitivity analyses provided useful data in view of the forthcoming ICD-11 revisions. The APPD without symptoms of schizophrenia showed a 21% meta-analytic risk of psychotic recurrence (at 51 months), a prospective diagnostic stability comparable to the whole ATPD group (56 v. 49%), as well as a comparable proportion of diagnostic change to schizophrenia spectrum psychoses (18 v. 19%) and of other (non-psychotic) mental disorders (17 v. 14%). These findings do not align with the arguments made by the ICD-11 Panel that APPD is ‘not indicative of schizophrenia’ (Reed et al., 2019). The ICD-11 field study also showed that the ICD-11 ATPD diagnostic reliability (moderate: kappa = 0.45) is lower than for the ICD-10 ATPD (Reed et al., 2018). Some authors have argued that ICD-11 ATPD category is too narrow and may counter-productively reduce its clinical utility (Castagnini and Berrios, 2019). We also uncovered gaps of knowledge because evidence relating to remission, functional status, quality of life and mortality in brief psychoses is still to sparse and insufficient. For example, most studies addressing quality of life focused on first-episode psychosis without distinguishing across short lived and persistent disorders (Sevilla-Llewellyn-Jones et al., 2019; Tan et al., 2019; Satghare et al., 2020). We were only able to meta-analyse the proportion of patients with brief psychoses who were employed at baseline (48%) and we uncovered no robust and replicated predictors of any outcomes in short-lived psychotic episodes. Our meta-regressions confirm previous findings underlining reduced risk for transition to schizophrenia in females (Queirazza et al., 2014; Radua et al., 2018; Wang et al., 2018). Overall, it is unlikely that single prognostic factors can be robustly associated with this complex and evolving condition. Some multivariable prognostic models that can forecast clinical outcomes in patients with BPE have been developed (Lopez-Diaz et al., 2020; Fusar-Poli, 2021). We have recently developed and internally validated (3018 individuals with short-lived psychotic episodes, up to 8 years of follow-up) an individualised clinical prediction model based on Electronic Health Records which adequately predicts the long-term risk of psychotic recurrence in this patient group (prognostic accuracy = 0.7, Damiani et al., 2021). This clinical prediction models retained adequate prognostic performance when tested in the context of the ICD-11 changes to this groups and could further be improved by incorporating a dynamic component (Lopez-Diaz et al., 2020; Studerus et al., 2020) which better captures the evolving nature of this condition. Overall, based on the findings of this study best practice affords for patients with short-lived psychotic episodes would require repeated clinical monitoring bolstered by complementary relapse prevention strategies (Alvarez-Jimenez et al., 2016) for at least 3 years follow-up, to align with the current early intervention recommendations (Chandra et al., 2018). At a research level, larger prospective studies with a harmonised set of assessment and outcome measures are needed to further advance precision psychiatry efforts that are essential in this field. Future clinical and research perspective have been fully elaborated in an independent study (Fusar-Poli et al., 2021b). The limitations are appended in the online Supplementary eLimitations.

Conclusions

Short-lived psychotic episodes are associated with a high risk of psychotic recurrences, in particular schizophrenia spectrum disorders. Other clinical outcomes remain relatively underinvestigated. There are no consistent prognostic/predictive factors.
  55 in total

1.  Longitudinal follow-up in acute and transient psychotic disorders and schizophrenia.

Authors:  Frank Pillmann; Andreas Marneros
Journal:  Br J Psychiatry       Date:  2005-09       Impact factor: 9.319

2.  Predictors of diagnostic stability in acute and transient psychotic disorders: validation of previous findings and implications for ICD-11.

Authors:  Álvaro López-Díaz; José Luis Fernández-González; Ignacio Lara; Miguel Ruiz-Veguilla
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2019-05-06       Impact factor: 5.270

3.  Long-term stability of acute and transient psychotic disorders.

Authors:  Augusto Castagnini; Leslie Foldager; Aksel Bertelsen
Journal:  Aust N Z J Psychiatry       Date:  2012-10-01       Impact factor: 5.744

Review 4.  Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group.

Authors:  D F Stroup; J A Berlin; S C Morton; I Olkin; G D Williamson; D Rennie; D Moher; B J Becker; T A Sipe; S B Thacker
Journal:  JAMA       Date:  2000-04-19       Impact factor: 56.272

5.  Two-year diagnostic stability in early-onset first-episode psychosis.

Authors:  Josefina Castro-Fornieles; Immaculada Baeza; Elena de la Serna; Ana Gonzalez-Pinto; Mara Parellada; Montserrat Graell; Dolores Moreno; Soraya Otero; Celso Arango
Journal:  J Child Psychol Psychiatry       Date:  2011-07-20       Impact factor: 8.982

6.  Transdiagnostic psychiatry: a systematic review.

Authors:  Paolo Fusar-Poli; Marco Solmi; Natascia Brondino; Cathy Davies; Chungil Chae; Pierluigi Politi; Stefan Borgwardt; Stephen M Lawrie; Josef Parnas; Philip McGuire
Journal:  World Psychiatry       Date:  2019-06       Impact factor: 49.548

7.  Acute and transient psychosis in old age and the subsequent risk of dementia: a nationwide register-based study.

Authors:  Alex Kørner; Ana Garcia Lopez; Lise Lauritzen; Per Kragh Andersen; Lars Vedel Kessing
Journal:  Geriatr Gerontol Int       Date:  2009-03       Impact factor: 2.730

8.  Diagnostic stability over 3 years in a total group of first-episode psychosis patients.

Authors:  Christoffer Rahm; Johan Cullberg
Journal:  Nord J Psychiatry       Date:  2007       Impact factor: 2.202

Review 9.  Establishing a clinical service to prevent psychosis: What, how and when? Systematic review.

Authors:  Gonzalo Salazar de Pablo; Andrés Estradé; Marcello Cutroni; Olivier Andlauer; Paolo Fusar-Poli
Journal:  Transl Psychiatry       Date:  2021-01-13       Impact factor: 6.222

Review 10.  Age at onset of mental disorders worldwide: large-scale meta-analysis of 192 epidemiological studies.

Authors:  Marco Solmi; Joaquim Radua; Miriam Olivola; Enrico Croce; Livia Soardo; Gonzalo Salazar de Pablo; Jae Il Shin; James B Kirkbride; Peter Jones; Jae Han Kim; Jong Yeob Kim; Andrè F Carvalho; Mary V Seeman; Christoph U Correll; Paolo Fusar-Poli
Journal:  Mol Psychiatry       Date:  2021-06-02       Impact factor: 15.992

View more
  2 in total

1.  Composite immune marker scores associated with severe mental disorders and illness course.

Authors:  Monica Bettina Elkjaer Greenwood Ormerod; Thor Ueland; Maren Caroline Frogner Werner; Gabriela Hjell; Linn Rødevand; Linn Sofie Sæther; Synve Hoffart Lunding; Ingrid Torp Johansen; Torill Ueland; Trine Vik Lagerberg; Ingrid Melle; Srdjan Djurovic; Ole Andreas Andreassen; Nils Eiel Steen
Journal:  Brain Behav Immun Health       Date:  2022-07-02

2.  Timing of antipsychotics and benzodiazepine initiation during a first episode of psychosis impacts clinical outcomes: Electronic health record cohort study.

Authors:  Maite Arribas; Marco Solmi; Trevor Thompson; Dominic Oliver; Paolo Fusar-Poli
Journal:  Front Psychiatry       Date:  2022-09-23       Impact factor: 5.435

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.