Proportion of Antipsychotics with CYP2D6 Pharmacogenetic (PGx) Associations Prescribed in an Early Intervention in Psychosis (EIP) Cohort: A Cross-Sectional Study.

Antipsychotics Personalised Medicine Pharmacogenetics Pharmacogenomics Psychosis Receptor Antagonist (D2) Receptor Antagonist (D2, 5-HT2) Receptor Antagonist (D2, 5-HT2, NE, alpha-2) Receptor Partial Agonist (D2, 5-HT1A) Schizophrenia

Journal

Journal of psychopharmacology (Oxford, England)
ISSN: 1461-7285
Titre abrégé: J Psychopharmacol
Pays: United States
ID NLM: 8907828

Informations de publication

Date de publication:
17 Mar 2024
Historique:
medline: 18 3 2024
pubmed: 18 3 2024
entrez: 18 3 2024
Statut: aheadofprint

Résumé

Prescribing drugs for psychosis (antipsychotics) is challenging due to high rates of poor treatment outcomes, which are in part explained by an individual's genetics. Pharmacogenomic (PGx) testing can help clinicians tailor the choice or dose of psychosis drugs to an individual's genetics, particularly psychosis drugs with known variable response due to CYP2D6 gene variants ('CYP2D6-PGx antipsychotics'). This study aims to investigate differences between demographic groups prescribed 'CYP2D6-PGx antipsychotics' and estimate the proportion of patients eligible for PGx testing based on current pharmacogenomics guidance. A cross-sectional study took place extracting data from 243 patients' medical records to explore psychosis drug prescribing, including drug transitions. Demographic data such as age, sex, ethnicity, and clinical sub-team were collected and summarised. Descriptive statistics explored the proportion of 'CYP2D6-PGx antipsychotic' prescribing and the nature of transitions. We used logistic regression analysis to investigate associations between demographic variables and prescription of 'CYP2D6-PGx antipsychotic' versus 'non-CYP2D6-PGx antipsychotic'. Two-thirds (164) of patients had been prescribed a 'CYP2D6-PGx antipsychotic' (aripiprazole, risperidone, haloperidol or zuclopenthixol). Over a fifth (23%) of patients would have met the suggested criteria for PGx testing, following two psychosis drug trials. There were no statistically significant differences between age, sex, or ethnicity in the likelihood of being prescribed a 'CYP2D6-PGx antipsychotic'. This study demonstrated high rates of prescribing 'CYP2D6-PGx-antipsychotics' in an EIP cohort, providing a rationale for further exploration of how PGx testing can be implemented in EIP services to personalise the prescribing of drugs for psychosis.

Sections du résumé

BACKGROUND UNASSIGNED
Prescribing drugs for psychosis (antipsychotics) is challenging due to high rates of poor treatment outcomes, which are in part explained by an individual's genetics. Pharmacogenomic (PGx) testing can help clinicians tailor the choice or dose of psychosis drugs to an individual's genetics, particularly psychosis drugs with known variable response due to CYP2D6 gene variants ('CYP2D6-PGx antipsychotics').
AIMS UNASSIGNED
This study aims to investigate differences between demographic groups prescribed 'CYP2D6-PGx antipsychotics' and estimate the proportion of patients eligible for PGx testing based on current pharmacogenomics guidance.
METHODS UNASSIGNED
A cross-sectional study took place extracting data from 243 patients' medical records to explore psychosis drug prescribing, including drug transitions. Demographic data such as age, sex, ethnicity, and clinical sub-team were collected and summarised. Descriptive statistics explored the proportion of 'CYP2D6-PGx antipsychotic' prescribing and the nature of transitions. We used logistic regression analysis to investigate associations between demographic variables and prescription of 'CYP2D6-PGx antipsychotic' versus 'non-CYP2D6-PGx antipsychotic'.
RESULTS UNASSIGNED
Two-thirds (164) of patients had been prescribed a 'CYP2D6-PGx antipsychotic' (aripiprazole, risperidone, haloperidol or zuclopenthixol). Over a fifth (23%) of patients would have met the suggested criteria for PGx testing, following two psychosis drug trials. There were no statistically significant differences between age, sex, or ethnicity in the likelihood of being prescribed a 'CYP2D6-PGx antipsychotic'.
CONCLUSIONS UNASSIGNED
This study demonstrated high rates of prescribing 'CYP2D6-PGx-antipsychotics' in an EIP cohort, providing a rationale for further exploration of how PGx testing can be implemented in EIP services to personalise the prescribing of drugs for psychosis.

Identifiants

pubmed: 38494658
doi: 10.1177/02698811241238283
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2698811241238283

Déclaration de conflit d'intérêts

Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Adam Jameson (A)

Bradford District Care NHS Foundation Trust, Bradford, UK.
School of Pharmacy & Medical Sciences, University of Bradford, Bradford, UK.
Wolfson Centre for Applied Health Research, Bradford, UK.

Muhammad Faisal (M)

Wolfson Centre for Applied Health Research, Bradford, UK.
Faculty of Health Studies, University of Bradford, Bradford, UK.
NIHR Yorkshire and Humber Patient Safety Research Collaboration (YH PSRC), Bradford, UK.

Beth Fylan (B)

School of Pharmacy & Medical Sciences, University of Bradford, Bradford, UK.
Wolfson Centre for Applied Health Research, Bradford, UK.
NIHR Yorkshire and Humber Patient Safety Research Collaboration (YH PSRC), Bradford, UK.

Greg C Bristow (GC)

School of Pharmacy & Medical Sciences, University of Bradford, Bradford, UK.

Jaspreet Sohal (J)

Bradford District Care NHS Foundation Trust, Bradford, UK.

Caroline Dalton (C)

Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK.

Gurdeep S Sagoo (GS)

Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.

Alastair G Cardno (AG)

Leeds Institute of Health Sciences, Faculty of Medicine and Health, University of Leeds, Leeds, UK.

Samantha L McLean (SL)

School of Pharmacy & Medical Sciences, University of Bradford, Bradford, UK.
Wolfson Centre for Applied Health Research, Bradford, UK.

Classifications MeSH