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Shugg T, Tillman EM, Breman AM, Hodge JC, McDonald CA, Ly RC, Rowe EJ, Osei W, Smith TB, Schwartz PH, Callaghan JT, Pratt VM, Lynch S, Eadon MT, Skaar TC. Development of a Multifaceted Program for Pharmacogenetics Adoption at an Academic Medical Center: Practical Considerations and Lessons Learned. Clin Pharmacol Ther 2024; 116:914-931. [PMID: 39169556 PMCID: PMC11452286 DOI: 10.1002/cpt.3402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Accepted: 07/25/2024] [Indexed: 08/23/2024]
Abstract
In 2019, Indiana University launched the Precision Health Initiative to enhance the institutional adoption of precision medicine, including pharmacogenetics (PGx) implementation, at university-affiliated practice sites across Indiana. The overarching goal of this PGx implementation program was to facilitate the sustainable adoption of genotype-guided prescribing into routine clinical care. To accomplish this goal, we pursued the following specific objectives: (i) to integrate PGx testing into existing healthcare system processes; (ii) to implement drug-gene pairs with high-level evidence and educate providers and pharmacists on established clinical management recommendations; (iii) to engage key stakeholders, including patients to optimize the return of results for PGx testing; (iv) to reduce health disparities through the targeted inclusion of underrepresented populations; (v) and to track third-party reimbursement. This tutorial details our multifaceted PGx implementation program, including descriptions of our interventions, the critical challenges faced, and the major program successes. By describing our experience, we aim to assist other clinical teams in achieving sustainable PGx implementation in their health systems.
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Affiliation(s)
- Tyler Shugg
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Emma M. Tillman
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Amy M. Breman
- Division of Diagnostic Genomics, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Jennelle C. Hodge
- Division of Diagnostic Genomics, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Christine A. McDonald
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Reynold C. Ly
- Division of Diagnostic Genomics, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Elizabeth J. Rowe
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Wilberforce Osei
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Tayler B. Smith
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Peter H. Schwartz
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - John T. Callaghan
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Victoria M. Pratt
- Division of Diagnostic Genomics, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Sheryl Lynch
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Michael T. Eadon
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Todd C. Skaar
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
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Massmann A, Heukelom JV, Weaver M, Schultz A, Figueroa DM, Stys A, Stys TP, Christensen KD. Evaluation of pharmacogenetic automated clinical decision support for clopidogrel. Pharmacogenomics 2024; 25:391-399. [PMID: 39258919 PMCID: PMC11418215 DOI: 10.1080/14622416.2024.2394014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Accepted: 08/15/2024] [Indexed: 09/12/2024] Open
Abstract
Aim: Clopidogrel requires CYP2C19 activation to have antiplatelet effects. Pharmacogenetic testing to identify patients with impaired CYP2C19 function can be coupled with clinical decision support (CDS) alerts to guide antiplatelet prescribing. We evaluated the impact of alerts on clopidogrel prescribing.Materials & methods: We retrospectively analyzed data for 866 patients in which CYP2C19-clopidogrel CDS was deployed at a single healthcare system during 2015-2023.Results: Analyses included 2,288 alerts. CDS acceptance rates increased from 24% in 2015 to 63% in 2023 (p < 0.05). Adjusted analyses also showed higher acceptance rates when clopidogrel had been ordered for a percutaneous intervention (OR: 28.7, p < 0.001) and when cardiologists responded to alerts (OR: 2.11, p = 0.001).Conclusion: CDS for CYP2C19-clopidogrel was effective in reducing potential drug-gene interactions. Its influence varied by clinician specialty and medication indications.
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Affiliation(s)
- Amanda Massmann
- Sanford Imagenetics, Sioux Falls, SD57105, USA
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD57069, USA
| | - Joel Van Heukelom
- Sanford Imagenetics, Sioux Falls, SD57105, USA
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD57069, USA
| | - Max Weaver
- Sanford Imagenetics, Sioux Falls, SD57105, USA
| | - April Schultz
- Sanford Imagenetics, Sioux Falls, SD57105, USA
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD57069, USA
| | - Debbie M Figueroa
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD57069, USA
- Sanford Medical Genetics Laboratory, Sioux Falls, SD57105, USA
| | - Adam Stys
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD57069, USA
- Sanford Cardiovascular Institute, Sioux Falls, SD57105, USA
| | - Tomasz P Stys
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD57069, USA
- Sanford Cardiovascular Institute, Sioux Falls, SD57105, USA
| | - Kurt D Christensen
- Precision Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute & Harvard Medical School, Boston, MA02215, USA
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Massmann A, Christensen KD, Van Heukelom J, Schultz A, Shaukat MHS, Hajek C, Weaver M, Green RC, Wu AC, Hickingbotham MR, Zoltick ES, Stys A, Stys TP. Clinical impact of preemptive pharmacogenomic testing on antiplatelet therapy in a real-world setting. Eur J Hum Genet 2024; 32:895-902. [PMID: 38424298 PMCID: PMC11291480 DOI: 10.1038/s41431-024-01567-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 02/06/2024] [Accepted: 02/08/2024] [Indexed: 03/02/2024] Open
Abstract
CYP2C19 genotyping to guide antiplatelet therapy after patients develop acute coronary syndromes (ACS) or require percutaneous coronary interventions (PCIs) reduces the likelihood of major adverse cardiovascular events (MACE). Evidence about the impact of preemptive testing, where genotyping occurs while patients are healthy, is lacking. In patients initiating antiplatelet therapy for ACS or PCI, we compared medical records data from 67 patients who received CYP2C19 genotyping preemptively (results >7 days before need), against medical records data from 67 propensity score-matched patients who received early genotyping (results within 7 days of need). We also examined data from 140 patients who received late genotyping (results >7 days after need). We compared the impact of genotyping approaches on medication selections, specialty visits, MACE and bleeding events over 1 year. Patients with CYP2C19 loss-of-function alleles were less likely to be initiated on clopidogrel if they received preemptive rather than early or late genotyping (18.2%, 66.7%, and 73.2% respectively, p = 0.001). No differences were observed by genotyping approach in the number of specialty visits or likelihood of MACE or bleeding events (all p > 0.21). Preemptive genotyping had a strong impact on initial antiplatelet selection and a comparable impact on patient outcomes and healthcare utilization, compared to genotyping ordered after a need for antiplatelet therapy had been identified.
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Affiliation(s)
- Amanda Massmann
- Sanford Imagenetics, Sioux Falls, SD, 57105, USA.
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD, 57069, USA.
| | - Kurt D Christensen
- Broad Institute of Harvard and MIT, Cambridge, MA, 02141, USA
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA, 02215, USA
- Department of Population Medicine, Harvard Medical School, Boston, MA, 02215, USA
| | - Joel Van Heukelom
- Sanford Imagenetics, Sioux Falls, SD, 57105, USA
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD, 57069, USA
| | - April Schultz
- Sanford Imagenetics, Sioux Falls, SD, 57105, USA
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD, 57069, USA
| | - Muhammad Hamza Saad Shaukat
- Minneapolis Heart Institute/Abbott Northwestern Hospital Institute, Minneapolis, MN, 55407, USA
- Sanford Cardiovascular Institute, Sioux Falls, SD, 57105, USA
| | - Catherine Hajek
- Sanford Imagenetics, Sioux Falls, SD, 57105, USA
- Helix OpCo, LLC, San Mateo, CA, 94401, USA
| | - Max Weaver
- Sanford Imagenetics, Sioux Falls, SD, 57105, USA
| | - Robert C Green
- Broad Institute of Harvard and MIT, Cambridge, MA, 02141, USA
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
- Ariadne Labs, Boston, MA, 02215, USA
| | - Ann Chen Wu
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA, 02215, USA
- Department of Population Medicine, Harvard Medical School, Boston, MA, 02215, USA
| | - Madison R Hickingbotham
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA, 02215, USA
| | - Emilie S Zoltick
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA, 02215, USA
| | - Adam Stys
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD, 57069, USA
- Sanford Cardiovascular Institute, Sioux Falls, SD, 57105, USA
| | - Tomasz P Stys
- Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD, 57069, USA
- Sanford Cardiovascular Institute, Sioux Falls, SD, 57105, USA
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Adelson SM, Blout Zawatsky CL, Hickingbotham MR, Bell ME, Platt DM, Leonhard JR, Zoltick ES, Hajek CA, Green RC, Christensen KD. Familial communication and cascade testing following elective genomic testing. J Genet Couns 2024. [PMID: 38757439 DOI: 10.1002/jgc4.1907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 04/16/2024] [Accepted: 04/17/2024] [Indexed: 05/18/2024]
Abstract
Familial communication of results and cascade genetic testing (CGT) can extend the benefits of genetic screening beyond the patient to their at-risk relatives. While an increasing number of health systems are offering genetic screening as an elective clinical service, data are limited about how often results are shared and how often results lead to CGT. From 2018 to 2022, the Sanford Health system offered the Sanford Chip, an elective genomic test that included screening for medically actionable predispositions for disease recommended by the American College of Medical Genetics and Genomics for secondary findings disclosure, to its adult primary care patients. We analyzed patient-reported data about familial sharing of results and CGT among patients who received Sanford Chip results at least 1 year previously. Among the patients identified with medically actionable predispositions, 94.6% (53/56) reported disclosing their result to at least one family member, compared with 46.7% (423/906) of patients with uninformative findings (p < 0.001). Of the patients with actionable predispositions, 52.2% (12/23) with a monogenic disease risk and 12.1% (4/33) with a carrier status reported that their relatives underwent CGT. Results suggest that while the identification of monogenic risk during elective genomic testing motivates CGT in many at-risk relatives, there remain untested at-risk relatives who may benefit from future CGT. Findings identify an area that may benefit from increased genetic counseling and the development of tools and resources to encourage CGT for family members.
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Affiliation(s)
- Sophia M Adelson
- Brigham and Women's Hospital, Boston, Massachusetts, USA
- Ariadne Labs, Boston, Massachusetts, USA
- Department of Genetics, Human Genetics and Genetic Counseling, Stanford University School of Medicine, Stanford, California, USA
| | - Carrie L Blout Zawatsky
- Brigham and Women's Hospital, Boston, Massachusetts, USA
- Ariadne Labs, Boston, Massachusetts, USA
| | - Madison R Hickingbotham
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Megan E Bell
- Sanford Health Imagenetics, Sioux Falls, South Dakota, USA
| | - Dylan M Platt
- Sanford Health Imagenetics, Sioux Falls, South Dakota, USA
| | | | - Emilie S Zoltick
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Catherine A Hajek
- Sanford Health Imagenetics, Sioux Falls, South Dakota, USA
- Helix OpCo, LLC, San Mateo, California, USA
| | - Robert C Green
- Ariadne Labs, Boston, Massachusetts, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
- Department of Medicine, Brigham & Women's Hospital & Harvard Medical School, Boston, Massachusetts, USA
| | - Kurt D Christensen
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
- Department of Population Medicine, Harvard Medical School, Boston, Massachusetts, USA
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Kanegusuku ALG, Chan CW, O'Donnell PH, Yeo KTJ. Implementation of pharmacogenomics testing for precision medicine. Crit Rev Clin Lab Sci 2024; 61:89-106. [PMID: 37776898 DOI: 10.1080/10408363.2023.2255279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 08/31/2023] [Indexed: 10/02/2023]
Abstract
Great strides have been made in the past decade to lower barriers to clinical pharmacogenomics implementation. Nevertheless, PGx consultation prior to prescribing therapeutics is not yet mainstream. This review addresses the current climate surrounding PGx implementation, focusing primarily on strategies for implementation at academic institutions, particularly at The University of Chicago, and provides an up-to-date guide of resources supporting the development of PGx programs. Remaining challenges and recent strategies for overcoming these challenges to implementation are discussed.
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Affiliation(s)
| | - Clarence W Chan
- Departments of Pathology, The University of Chicago, Chicago, IL, USA
| | - Peter H O'Donnell
- Department of Medicine, The University of Chicago, Chicago, IL, USA
- Center for Personalized Therapeutics, The University of Chicago, Chicago, IL, USA
| | - Kiang-Teck J Yeo
- Departments of Pathology, The University of Chicago, Chicago, IL, USA
- Center for Personalized Therapeutics, The University of Chicago, Chicago, IL, USA
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Haga SB. The Critical Role of Pharmacists in the Clinical Delivery of Pharmacogenetics in the U.S. PHARMACY 2023; 11:144. [PMID: 37736916 PMCID: PMC10514841 DOI: 10.3390/pharmacy11050144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/05/2023] [Accepted: 09/05/2023] [Indexed: 09/23/2023] Open
Abstract
Since the rebirth of pharmacogenomics (PGx) in the 1990s and 2000s, with new discoveries of genetic variation underlying adverse drug response and new analytical technologies such as sequencing and microarrays, there has been much interest in the clinical application of PGx testing. The early involvement of pharmacists in clinical studies and the establishment of organizations to support the dissemination of information about PGx variants have naturally resulted in leaders in clinical implementation. This paper presents an overview of the evolving role of pharmacists, and discusses potential challenges and future paths, primarily focused in the U.S. Pharmacists have positioned themselves as leaders in clinical PGx testing, and will prepare the next generation to utilize PGx testing in their scope of practice.
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Affiliation(s)
- Susanne B Haga
- Division of General Internal Medicine, Department of Medicine, School of Medicine, Duke University, 101 Science Drive, Durham, NC 27708, USA
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