Pre-Emptive Pharmacogenetic Testing in the Acute Hospital Setting: A Cross-Sectional Study.


Journal

QJM : monthly journal of the Association of Physicians
ISSN: 1460-2393
Titre abrégé: QJM
Pays: England
ID NLM: 9438285

Informations de publication

Date de publication:
17 Oct 2024
Historique:
received: 13 08 2024
revised: 23 09 2024
medline: 18 10 2024
pubmed: 18 10 2024
entrez: 17 10 2024
Statut: aheadofprint

Résumé

Pharmacogenetic guided prescribing can be used to improve the safety and effectiveness of medicines. There are several approaches by which this intervention might be implemented in clinical practice, which will vary depending on the health system and clinical context. To understand the clinical utility of panel-based pharmacogenetic testing in patients admitted acutely to hospital and to establish variables which predict if an individual might benefit from the intervention. A cross-sectional study recruiting patients admitted acutely to hospital. Participants underwent panel-based pharmacogenetic testing and their genetic results were analysed in their context of the medicines they had been exposed to as an inpatient. The primary outcome was the proportion of patients with clinically actionable gene-drug interactions. Individual variables which predict the clinical utility of pharmacogenetic testing were established via logistic regression. Genetic and prescribing data were available for 482 in-patients (55% male; median age 61.2 years; range: 18 to 96), 97.9% of whom carried a pharmacogenetic result of interest. During their admission, 79.5% of patients were exposed to a medicine for which there is pharmacogenetic prescribing guidance available. Just under 1 in 7 individuals (13.7%) had a clinically actionable gene-drug interaction. Increasing age (> 50-years) was positively correlated with the likelihood (2.7-fold increased risk) of having a clinically actionable interaction. These findings demonstrate the potential scale, and potential clinical utility, of pharmacogenetic testing as an intervention, highlighting the need to develop infrastructure to support healthcare professionals make use of this emerging tool.

Sections du résumé

BACKGROUND BACKGROUND
Pharmacogenetic guided prescribing can be used to improve the safety and effectiveness of medicines. There are several approaches by which this intervention might be implemented in clinical practice, which will vary depending on the health system and clinical context.
AIM OBJECTIVE
To understand the clinical utility of panel-based pharmacogenetic testing in patients admitted acutely to hospital and to establish variables which predict if an individual might benefit from the intervention.
DESIGN METHODS
A cross-sectional study recruiting patients admitted acutely to hospital.
METHODS METHODS
Participants underwent panel-based pharmacogenetic testing and their genetic results were analysed in their context of the medicines they had been exposed to as an inpatient. The primary outcome was the proportion of patients with clinically actionable gene-drug interactions. Individual variables which predict the clinical utility of pharmacogenetic testing were established via logistic regression.
RESULTS RESULTS
Genetic and prescribing data were available for 482 in-patients (55% male; median age 61.2 years; range: 18 to 96), 97.9% of whom carried a pharmacogenetic result of interest. During their admission, 79.5% of patients were exposed to a medicine for which there is pharmacogenetic prescribing guidance available. Just under 1 in 7 individuals (13.7%) had a clinically actionable gene-drug interaction. Increasing age (> 50-years) was positively correlated with the likelihood (2.7-fold increased risk) of having a clinically actionable interaction.
CONCLUSIONS CONCLUSIONS
These findings demonstrate the potential scale, and potential clinical utility, of pharmacogenetic testing as an intervention, highlighting the need to develop infrastructure to support healthcare professionals make use of this emerging tool.

Identifiants

pubmed: 39418209
pii: 7825353
doi: 10.1093/qjmed/hcae200
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the Association of Physicians.

Auteurs

John H McDermott (JH)

Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, M13 9WL, UK.
Division of Evolution, Infection and Genomics, School of Biological Sciences, The University of Manchester, Manchester, M13 9PL, UK.

Kerry Burke (K)

Division of Evolution, Infection and Genomics, School of Biological Sciences, The University of Manchester, Manchester, M13 9PL, UK.
Manchester Vascular Centre, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Oxford Road, Manchester, M13 9WL.

Neil Fullerton (N)

Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, M13 9WL, UK.

James O'Sullivan (J)

Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, M13 9WL, UK.
Division of Evolution, Infection and Genomics, School of Biological Sciences, The University of Manchester, Manchester, M13 9PL, UK.

Aleina Alex (A)

Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, M13 9WL, UK.

Amy Ingham (A)

Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, M13 9WL, UK.

Videha Sharma (V)

Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, M13 9WL, UK.

Nicola Godfrey (N)

Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, M13 9WL, UK.

Aghogho Odudu (A)

Acute Medical Unit, Manchester Royal Infirmary, Manchester University Hospitals NHS Foundation Trust, Manchester, M13 9WL, UK.

Tania Syed (T)

Acute Medical Unit, Manchester Royal Infirmary, Manchester University Hospitals NHS Foundation Trust, Manchester, M13 9WL, UK.

Andrew Stevens (A)

Acute Medical Unit, Manchester Royal Infirmary, Manchester University Hospitals NHS Foundation Trust, Manchester, M13 9WL, UK.

Rhys Beynon (R)

Manchester Heart Centre, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Oxford Road, Manchester, M13 9WL.

Nicholas Greaves (N)

Manchester Vascular Centre, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Oxford Road, Manchester, M13 9WL.

Daniel Akam (D)

Acute Medical Unit, Manchester Royal Infirmary, Manchester University Hospitals NHS Foundation Trust, Manchester, M13 9WL, UK.

Selman Mirza (S)

Biostatistics Collaboration Unit, Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Manchester, M13 9PL, UK.

Paul Wilson (P)

Centre for Primary Care and Health Services Research, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, M13 9PL, UK.

Stuart Wright (S)

Manchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, M13 9PL, UK.

Katherine Payne (K)

Manchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, M13 9PL, UK.

William G Newman (WG)

Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, M13 9WL, UK.
Division of Evolution, Infection and Genomics, School of Biological Sciences, The University of Manchester, Manchester, M13 9PL, UK.

Classifications MeSH