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Pharmacogenomics (PGx) Patient with Mixed Levels of Actionable Variant Evidence

OBJECTIVE: To demonstrate the types of clinical recommendations a pharmacogenomics pharmacist may make to medical clinicians with regard to medication management to improve therapeutic outcomes based on varied levels of medical literature evidence. SUMMARY: This case demonstrates how a common type o...

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Detalles Bibliográficos
Autores principales: Schuh, Michael J., Crosby, Sheena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Minnesota Libraries Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051925/
https://www.ncbi.nlm.nih.gov/pubmed/34007616
http://dx.doi.org/10.24926/iip.v11i2.3228
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author Schuh, Michael J.
Crosby, Sheena
author_facet Schuh, Michael J.
Crosby, Sheena
author_sort Schuh, Michael J.
collection PubMed
description OBJECTIVE: To demonstrate the types of clinical recommendations a pharmacogenomics pharmacist may make to medical clinicians with regard to medication management to improve therapeutic outcomes based on varied levels of medical literature evidence. SUMMARY: This case demonstrates how a common type of patient seen in a pharmacist practice may present with a varied pharmacogenomic (PGx) profile, how they may benefit from PGx analysis, and how varying levels of medical literature evidence can be used with clinical decision making. CONCLUSION: PGx testing can help avoid adverse drug reactions (ADRs) or medication inefficacy by assisting in the adjustment of current or future medication doses. It can also help predict the best medications to use or those to avoid in advance by eliminating much of the existing dosing or medication selection method of trial and error.
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spelling pubmed-80519252021-05-17 Pharmacogenomics (PGx) Patient with Mixed Levels of Actionable Variant Evidence Schuh, Michael J. Crosby, Sheena Innov Pharm Case Study OBJECTIVE: To demonstrate the types of clinical recommendations a pharmacogenomics pharmacist may make to medical clinicians with regard to medication management to improve therapeutic outcomes based on varied levels of medical literature evidence. SUMMARY: This case demonstrates how a common type of patient seen in a pharmacist practice may present with a varied pharmacogenomic (PGx) profile, how they may benefit from PGx analysis, and how varying levels of medical literature evidence can be used with clinical decision making. CONCLUSION: PGx testing can help avoid adverse drug reactions (ADRs) or medication inefficacy by assisting in the adjustment of current or future medication doses. It can also help predict the best medications to use or those to avoid in advance by eliminating much of the existing dosing or medication selection method of trial and error. University of Minnesota Libraries Publishing 2020-04-30 /pmc/articles/PMC8051925/ /pubmed/34007616 http://dx.doi.org/10.24926/iip.v11i2.3228 Text en © Individual authors https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial License, which permits noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Case Study
Schuh, Michael J.
Crosby, Sheena
Pharmacogenomics (PGx) Patient with Mixed Levels of Actionable Variant Evidence
title Pharmacogenomics (PGx) Patient with Mixed Levels of Actionable Variant Evidence
title_full Pharmacogenomics (PGx) Patient with Mixed Levels of Actionable Variant Evidence
title_fullStr Pharmacogenomics (PGx) Patient with Mixed Levels of Actionable Variant Evidence
title_full_unstemmed Pharmacogenomics (PGx) Patient with Mixed Levels of Actionable Variant Evidence
title_short Pharmacogenomics (PGx) Patient with Mixed Levels of Actionable Variant Evidence
title_sort pharmacogenomics (pgx) patient with mixed levels of actionable variant evidence
topic Case Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051925/
https://www.ncbi.nlm.nih.gov/pubmed/34007616
http://dx.doi.org/10.24926/iip.v11i2.3228
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