Cargando…

Quantifying the Impact of Phenoconversion on Medications With Actionable Pharmacogenomic Guideline Recommendations in an Acute Aged Persons Mental Health Setting

Introduction: Polypharmacy and genetic variants that strongly influence medication response (pharmacogenomics, PGx) are two well-described risk factors for adverse drug reactions. Complexities arise in interpreting PGx results in the presence of co-administered medications that can cause cytochrome...

Descripción completa

Detalles Bibliográficos
Autores principales: Mostafa, Sam, Polasek, Thomas M., Sheffield, Leslie J., Huppert, David, Kirkpatrick, Carl M. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416898/
https://www.ncbi.nlm.nih.gov/pubmed/34489765
http://dx.doi.org/10.3389/fpsyt.2021.724170
_version_ 1783748276710801408
author Mostafa, Sam
Polasek, Thomas M.
Sheffield, Leslie J.
Huppert, David
Kirkpatrick, Carl M. J.
author_facet Mostafa, Sam
Polasek, Thomas M.
Sheffield, Leslie J.
Huppert, David
Kirkpatrick, Carl M. J.
author_sort Mostafa, Sam
collection PubMed
description Introduction: Polypharmacy and genetic variants that strongly influence medication response (pharmacogenomics, PGx) are two well-described risk factors for adverse drug reactions. Complexities arise in interpreting PGx results in the presence of co-administered medications that can cause cytochrome P450 enzyme phenoconversion. Aim: To quantify phenoconversion in a cohort of acute aged persons mental health patients and evaluate its impact on the reporting of medications with actionable PGx guideline recommendations (APRs). Methods: Acute aged persons mental health patients (N = 137) with PGx and medication data at admission and discharge were selected to describe phenoconversion frequencies for CYP2D6, CYP2C19 and CYP2C9 enzymes. The expected impact of phenoconversion was then assessed on the reporting of medications with APRs. Results: Post-phenoconversion, the predicted frequency at admission and discharge increased for CYP2D6 intermediate metabolisers (IMs) by 11.7 and 16.1%, respectively. Similarly, for CYP2C19 IMs, the predicted frequency at admission and discharge increased by 13.1 and 11.7%, respectively. Nineteen medications with APRs were prescribed 120 times at admission, of which 50 (42%) had APRs pre-phenoconversion, increasing to 60 prescriptions (50%) post-phenoconversion. At discharge, 18 medications with APRs were prescribed 122 times, of which 48 (39%) had APRs pre-phenoconversion, increasing to 57 prescriptions (47%) post-phenoconversion. Discussion: Aged persons mental health patients are commonly prescribed medications with APRs, but interpretation of these recommendations must consider the effects of phenoconversion. Adopting a collaborative care model between prescribers and clinical pharmacists should be considered to address phenoconversion and ensure the potential benefits of PGx are maximised.
format Online
Article
Text
id pubmed-8416898
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-84168982021-09-05 Quantifying the Impact of Phenoconversion on Medications With Actionable Pharmacogenomic Guideline Recommendations in an Acute Aged Persons Mental Health Setting Mostafa, Sam Polasek, Thomas M. Sheffield, Leslie J. Huppert, David Kirkpatrick, Carl M. J. Front Psychiatry Psychiatry Introduction: Polypharmacy and genetic variants that strongly influence medication response (pharmacogenomics, PGx) are two well-described risk factors for adverse drug reactions. Complexities arise in interpreting PGx results in the presence of co-administered medications that can cause cytochrome P450 enzyme phenoconversion. Aim: To quantify phenoconversion in a cohort of acute aged persons mental health patients and evaluate its impact on the reporting of medications with actionable PGx guideline recommendations (APRs). Methods: Acute aged persons mental health patients (N = 137) with PGx and medication data at admission and discharge were selected to describe phenoconversion frequencies for CYP2D6, CYP2C19 and CYP2C9 enzymes. The expected impact of phenoconversion was then assessed on the reporting of medications with APRs. Results: Post-phenoconversion, the predicted frequency at admission and discharge increased for CYP2D6 intermediate metabolisers (IMs) by 11.7 and 16.1%, respectively. Similarly, for CYP2C19 IMs, the predicted frequency at admission and discharge increased by 13.1 and 11.7%, respectively. Nineteen medications with APRs were prescribed 120 times at admission, of which 50 (42%) had APRs pre-phenoconversion, increasing to 60 prescriptions (50%) post-phenoconversion. At discharge, 18 medications with APRs were prescribed 122 times, of which 48 (39%) had APRs pre-phenoconversion, increasing to 57 prescriptions (47%) post-phenoconversion. Discussion: Aged persons mental health patients are commonly prescribed medications with APRs, but interpretation of these recommendations must consider the effects of phenoconversion. Adopting a collaborative care model between prescribers and clinical pharmacists should be considered to address phenoconversion and ensure the potential benefits of PGx are maximised. Frontiers Media S.A. 2021-08-19 /pmc/articles/PMC8416898/ /pubmed/34489765 http://dx.doi.org/10.3389/fpsyt.2021.724170 Text en Copyright © 2021 Mostafa, Polasek, Sheffield, Huppert and Kirkpatrick. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
Mostafa, Sam
Polasek, Thomas M.
Sheffield, Leslie J.
Huppert, David
Kirkpatrick, Carl M. J.
Quantifying the Impact of Phenoconversion on Medications With Actionable Pharmacogenomic Guideline Recommendations in an Acute Aged Persons Mental Health Setting
title Quantifying the Impact of Phenoconversion on Medications With Actionable Pharmacogenomic Guideline Recommendations in an Acute Aged Persons Mental Health Setting
title_full Quantifying the Impact of Phenoconversion on Medications With Actionable Pharmacogenomic Guideline Recommendations in an Acute Aged Persons Mental Health Setting
title_fullStr Quantifying the Impact of Phenoconversion on Medications With Actionable Pharmacogenomic Guideline Recommendations in an Acute Aged Persons Mental Health Setting
title_full_unstemmed Quantifying the Impact of Phenoconversion on Medications With Actionable Pharmacogenomic Guideline Recommendations in an Acute Aged Persons Mental Health Setting
title_short Quantifying the Impact of Phenoconversion on Medications With Actionable Pharmacogenomic Guideline Recommendations in an Acute Aged Persons Mental Health Setting
title_sort quantifying the impact of phenoconversion on medications with actionable pharmacogenomic guideline recommendations in an acute aged persons mental health setting
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416898/
https://www.ncbi.nlm.nih.gov/pubmed/34489765
http://dx.doi.org/10.3389/fpsyt.2021.724170
work_keys_str_mv AT mostafasam quantifyingtheimpactofphenoconversiononmedicationswithactionablepharmacogenomicguidelinerecommendationsinanacuteagedpersonsmentalhealthsetting
AT polasekthomasm quantifyingtheimpactofphenoconversiononmedicationswithactionablepharmacogenomicguidelinerecommendationsinanacuteagedpersonsmentalhealthsetting
AT sheffieldlesliej quantifyingtheimpactofphenoconversiononmedicationswithactionablepharmacogenomicguidelinerecommendationsinanacuteagedpersonsmentalhealthsetting
AT huppertdavid quantifyingtheimpactofphenoconversiononmedicationswithactionablepharmacogenomicguidelinerecommendationsinanacuteagedpersonsmentalhealthsetting
AT kirkpatrickcarlmj quantifyingtheimpactofphenoconversiononmedicationswithactionablepharmacogenomicguidelinerecommendationsinanacuteagedpersonsmentalhealthsetting