» Articles » PMID: 35853891

Antipsychotic Prescription, Assumption and Conversion to Psychosis: Resolving Missing Clinical Links to Optimize Prevention Through Precision

Overview
Date 2022 Jul 19
PMID 35853891
Authors
Affiliations
Soon will be listed here.
Abstract

The current concept of clinical high-risk(CHR) of psychosis relies heavily on "below-threshold" (i.e. attenuated or limited and intermittent) psychotic positive phenomena as predictors of the risk for future progression to "above-threshold" positive symptoms (aka "transition" or "conversion"). Positive symptoms, even at attenuated levels are often treated with antipsychotics (AP) to achieve clinical stabilization and mitigate the psychopathological severity. The goal of this study is to contextually examine clinicians' decision to prescribe AP, CHR individuals' decision to take AP and psychosis conversion risk in relation to prodromal symptoms profiles. CHR individuals (n = 600) were recruited and followed up for 2 years between 2016 and 2021. CHR individuals were referred to the participating the naturalistic follow-up study, which research procedure was independent of the routine clinical treatment. Clinical factors from the Structured Interview for Prodromal Syndromes (SIPS) and global assessment of function (GAF) were profiled via exploratory factor analysis (EFA), then the extracted factor structure was used to investigate the relationship of prodromal psychopathology with clinicians' decisions to AP-prescription, CHR individuals' decisions to AP-taking and conversion to psychosis. A total of 427(71.2%) CHR individuals were prescribed AP at baseline, 532(88.7%) completed the 2-year follow-up, 377(377/532, 70.9%) were taken AP at least for 2 weeks during the follow-up. EFA identified six factors (Factor-1-Negative symptoms, Factor-2-Global functions, Factor-3-Disorganized communication & behavior, Factor-4-General symptoms, Factor-5-Odd thoughts, and Factor-6-Distorted cognition & perception). Positive symptoms (Factor-5 and 6) and global functions (Factor-2) factors were significant predictors for clinicians' decisions to AP-prescription and CHR individuals' decisions to assume AP, whereas negative symptoms (Factor-1) and global functions (Factor-2) factors predicted conversion. While decisions to AP-prescription, decisions to AP-taking were associated to the same factors (positive symptoms and global functions), only one of those was predictive of conversion, i.e. global functions. The other predictor of conversion, i.e. negative symptoms, did not seem to be contemplated both on the clinician and patients' sides. Overall, the findings indicated that a realignment in the understanding of AP usage is warranted.

Citing Articles

Comprehensive review of multidimensional biomarkers in the ShangHai At Risk for Psychosis (SHARP) program for early psychosis identification.

Zhang T, Xu L, Tang X, Wei Y, Hu Y, Cui H PCN Rep. 2024; 2(4):e152.

PMID: 38868725 PMC: 11114265. DOI: 10.1002/pcn5.152.


Cognitive functions following initiation of antipsychotic medication in adolescents and adults at clinical high risk for psychosis: a naturalistic sub group analysis using the MATRICS consensus cognitive battery.

Zhang T, Wei Y, Tang X, Cui H, Xu L, Hu Y Child Adolesc Psychiatry Ment Health. 2024; 18(1):53.

PMID: 38704567 PMC: 11070077. DOI: 10.1186/s13034-024-00743-x.


Detecting at-risk mental states for psychosis (ARMS) using machine learning ensembles and facial features.

Loch A, Gondim J, Argolo F, Lopes-Rocha A, Andrade J, van de Bilt M Schizophr Res. 2023; 258:45-52.

PMID: 37473667 PMC: 10448183. DOI: 10.1016/j.schres.2023.07.011.


Symptoms of Attenuated Psychosis Syndrome in Relatives of Clinical High-Risk Youth: Preliminary Evidence.

Tarbox-Berry S, Walsh B, Pogue-Geile M, Woods S Schizophr Bull. 2023; 49(4):1022-1031.

PMID: 36752824 PMC: 10318861. DOI: 10.1093/schbul/sbad001.

References
1.
Fusar-Poli P, Borgwardt S, Bechdolf A, Addington J, Riecher-Rossler A, Schultze-Lutter F . The psychosis high-risk state: a comprehensive state-of-the-art review. JAMA Psychiatry. 2012; 70(1):107-20. PMC: 4356506. DOI: 10.1001/jamapsychiatry.2013.269. View

2.
Fusar-Poli P, Bonoldi I, Yung A, Borgwardt S, Kempton M, Valmaggia L . Predicting psychosis: meta-analysis of transition outcomes in individuals at high clinical risk. Arch Gen Psychiatry. 2012; 69(3):220-9. DOI: 10.1001/archgenpsychiatry.2011.1472. View

3.
Zhang T, Xu L, Tang X, Wei Y, Hu Q, Hu Y . Real-world effectiveness of antipsychotic treatment in psychosis prevention in a 3-year cohort of 517 individuals at clinical high risk from the SHARP (ShangHai At Risk for Psychosis). Aust N Z J Psychiatry. 2020; 54(7):696-706. DOI: 10.1177/0004867420917449. View

4.
Raballo A, Poletti M, Preti A . Meta-analyzing the prevalence and prognostic effect of antipsychotic exposure in clinical high-risk (CHR): when things are not what they seem. Psychol Med. 2020; 50(16):2673-2681. DOI: 10.1017/S0033291720004237. View

5.
Yung A, Phillips L, Yuen H, Francey S, McFarlane C, Hallgren M . Psychosis prediction: 12-month follow up of a high-risk ("prodromal") group. Schizophr Res. 2002; 60(1):21-32. DOI: 10.1016/s0920-9964(02)00167-6. View