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      Effects of Pharmacogenomic Testing in Clinical Pain Management: Retrospective Study

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          Abstract

          Background

          The availability of pharmacogenomic (PGx) methods to determine the right drug and dosage for individualized patient treatment has increased over the past decade. Adoption of the resulting PGx reports in a clinical setting and monitoring of clinical outcomes is a challenging and long-term commitment.

          Objective

          This study summarizes an extended PGx deep sequencing panel intended for medication dosing and prescription guidance newly adopted in a pain management clinic. The primary outcome of this retrospective study reports the number of cases and types of drugs covered, for which PGx data appears to have assisted in optimal drug prescription and dosing.

          Methods

          A PGx panel is described, encompassing 23 genes and 141 single-nucleotide polymorphisms or indels, combined with PGx dosing guidance and drug-gene interaction (DGI) and drug-drug interaction (DDI) reporting to prevent adverse drug reactions (ADRs). During a 2-year period, patients (N=171) were monitored in a pain management clinic. Urine toxicology, PGx reports, and progress notes were studied retrospectively for changes in prescription regimens before and after the PGx report was made available to the provider. An additional algorithm provided DGIs and DDIs to prevent ADRs.

          Results

          Among patient PGx reports with medication lists provided (n=146), 57.5% (n=84) showed one or more moderate and 5.5% (n=8) at least one serious PGx interaction. A total of 96 (65.8%) patients showed at least one moderate and 15.1% (n=22) one or more serious DGIs or DDIs. A significant number of active changes in prescriptions based on the 102 PGx/DGI/DDI report results provided was observed for 85 (83.3%) patients for which a specific drug was either discontinued or switched within the defined drug classes of the report, or a new drug was added.

          Conclusions

          Preventative action was observed for all serious interactions, and only moderate interactions were tolerated for the lack of other alternatives. This study demonstrates the application of an extended PGx panel combined with a customized informational report to prevent ADRs and improve patient care.

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          Most cited references29

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          Pharmacogenomics knowledge for personalized medicine.

          The Pharmacogenomics Knowledgebase (PharmGKB) is a resource that collects, curates, and disseminates information about the impact of human genetic variation on drug responses. It provides clinically relevant information, including dosing guidelines, annotated drug labels, and potentially actionable gene-drug associations and genotype-phenotype relationships. Curators assign levels of evidence to variant-drug associations using well-defined criteria based on careful literature review. Thus, PharmGKB is a useful source of high-quality information supporting personalized medicine-implementation projects.
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            CPIC: Clinical Pharmacogenetics Implementation Consortium of the Pharmacogenomics Research Network.

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              College of American Pathologists' laboratory standards for next-generation sequencing clinical tests.

              The higher throughput and lower per-base cost of next-generation sequencing (NGS) as compared to Sanger sequencing has led to its rapid adoption in clinical testing. The number of laboratories offering NGS-based tests has also grown considerably in the past few years, despite the fact that specific Clinical Laboratory Improvement Amendments of 1988/College of American Pathologists (CAP) laboratory standards had not yet been developed to regulate this technology.

                Author and article information

                Contributors
                Journal
                JMIRx Med
                JMIRx Med
                JMIRxMed
                JMIRx Med
                JMIR Publications (Toronto, Canada )
                2563-6316
                Apr-Jun 2022
                3 May 2022
                : 3
                : 2
                : e32902
                Affiliations
                [1 ] Alcala Testing and Analysis Services San Diego, CA United States
                Author notes
                Corresponding Author: Christian Tagwerker christian.tagwerker@ 123456alcalalabs.com
                Author information
                https://orcid.org/0000-0002-5699-0037
                https://orcid.org/0000-0002-1131-7914
                https://orcid.org/0000-0002-9460-6227
                Article
                v3i2e32902
                10.2196/32902
                10414297
                37725552
                be86c2dc-f001-4409-9d29-7af8e901c165
                ©Christian Tagwerker, Mary Jane Carias-Marines, David J Smith. Originally published in JMIRx Med (https://med.jmirx.org), 03.05.2022.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIRx Med, is properly cited. The complete bibliographic information, a link to the original publication on https://med.jmirx.org/, as well as this copyright and license information must be included.

                History
                : 13 August 2021
                : 4 November 2021
                : 24 November 2021
                : 29 January 2022
                Categories
                Original Paper
                Original Paper

                pharmacogenomics,pain management,drug-drug interaction,ddi,pharmacy,prescriptions,genetics,genomics,drug-gene interaction,pain

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