Literature DB >> 33198845

Meta-analyzing the prevalence and prognostic effect of antipsychotic exposure in clinical high-risk (CHR): when things are not what they seem.

Andrea Raballo1,2, Michele Poletti3, Antonio Preti4,5.   

Abstract

BACKGROUND: The clinical high-risk (CHR) for psychosis paradigm is changing psychiatric practice. However, a widespread confounder, i.e. baseline exposure to antipsychotics (AP) in CHR samples, is systematically overlooked. Such exposure might mitigate the initial clinical presentation, increase the heterogeneity within CHR populations, and confound the evaluation of transition to psychosis at follow-up. This is the first meta-analysis examining the prevalence and the prognostic impact on transition to psychosis of ongoing AP treatment at baseline in CHR cohorts.
METHODS: Major databases were searched for articles published until 20 April 2020. The variance-stabilizing Freeman-Tukey double arcsine transformation was used to estimate prevalence. The binary outcome of transition to psychosis by group was estimated with risk ratio (RR) and the inverse variance method was used for pooling.
RESULTS: Fourteen studies were eligible for qualitative synthesis, including 1588 CHR individuals. Out of the pooled CHR sample, 370 individuals (i.e. 23.3%) were already exposed to AP at the time of CHR status ascription. Transition toward full-blown psychosis at follow-up intervened in 112 (29%; 95% CI 24-34%) of the AP-exposed CHR as compared to 235 (16%; 14-19%) of the AP-naïve CHR participants. AP-exposed CHR had higher RR of transition to psychosis (RR = 1.47; 95% CI 1.18-1.83; z = 3.48; p = 0.0005), without influence by age, gender ratio, overall sample size, duration of the follow-up, or quality of the studies.
CONCLUSIONS: Baseline AP exposure in CHR samples is substantial and is associated with a higher imminent risk of transition to psychosis. Therefore, such exposure should be regarded as a non-negligible red flag for clinical risk management.

Entities:  

Keywords:  Antipsychotic; clinical high-risk; prevention; prognosis; psychosis; treatment

Year:  2020        PMID: 33198845     DOI: 10.1017/S0033291720004237

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  5 in total

1.  Antipsychotic prescription, assumption and conversion to psychosis: resolving missing clinical links to optimize prevention through precision.

Authors:  TianHong Zhang; Andrea Raballo; JiaHui Zeng; RanPiao Gan; GuiSen Wu; YanYan Wei; LiHua Xu; XiaoChen Tang; YeGang Hu; YingYing Tang; HaiChun Liu; Tao Chen; ChunBo Li; JiJun Wang
Journal:  Schizophrenia (Heidelb)       Date:  2022-05-04

2.  Evaluating the tendencies of community practitioners who actively practice in child and adolescent psychiatry to diagnose and treat DSM-5 attenuated psychotic syndrome.

Authors:  Helin Yilmaz Kafali; Mireia Solerdelcoll; Lena Vujinovic; Dmytro Martsenkovskyi; Sewanu Awhangansi; Camille Noel; Emre Bora; Celso Arango
Journal:  Eur Child Adolesc Psychiatry       Date:  2021-10-20       Impact factor: 5.349

3.  First help-seeking attempt before and after psychosis onset: measures of delay and aversive pathways to care.

Authors:  Maria Ferrara; Sinan Guloksuz; Walter S Mathis; Fangyong Li; I-Hsin Lin; Sumaiyah Syed; Keith Gallagher; Jai Shah; Emily Kline; Cenk Tek; Matcheri Keshavan; Vinod H Srihari
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2021-05-04       Impact factor: 4.519

4.  Antipsychotics are related to psychometric conversion to psychosis in ultra-high-risk youth.

Authors:  Antonio Preti; Andrea Raballo; Anna Meneghelli; Angelo Cocchi; Maria Meliante; Simona Barbera; Lara Malvini; Emiliano Monzani; Mauro Percudani
Journal:  Early Interv Psychiatry       Date:  2021-05-05       Impact factor: 2.721

5.  Negative Prognostic Effect of Baseline Antipsychotic Exposure in Clinical High Risk for Psychosis (CHR-P): Is Pre-Test Risk Enrichment the Hidden Culprit?

Authors:  Andrea Raballo; Michele Poletti; Antonio Preti
Journal:  Int J Neuropsychopharmacol       Date:  2021-09-21       Impact factor: 5.176

  5 in total

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