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Thomas CD, Franchi F, Rossi JS, Keeley EC, Anderson RD, Beitelshees AL, Duarte JD, Ortega-Paz L, Gong Y, Kerensky RA, Kulick N, McDonough CW, Nguyen AB, Wang Y, Winget M, Yang WE, Johnson JA, Winterstein AG, Stouffer GA, Angiolillo DJ, Lee CR, Cavallari LH. Effectiveness of Clopidogrel vs Alternative P2Y 12 Inhibitors Based on the ABCD-GENE Score. J Am Coll Cardiol 2024; 83:1370-1381. [PMID: 38599713 PMCID: PMC11074948 DOI: 10.1016/j.jacc.2024.02.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 02/13/2024] [Indexed: 04/12/2024]
Abstract
BACKGROUND An ABCD-GENE (age, body mass index, chronic kidney disease, diabetes, and CYP2C19 genetic variants) score ≥10 predicts reduced clopidogrel effectiveness, but its association with response to alternative therapy remains unclear. OBJECTIVES The aim of this study was to evaluate the association between ABCD-GENE score and the effectiveness of clopidogrel vs alternative P2Y12 inhibitor (prasugrel or ticagrelor) therapy after percutaneous coronary intervention (PCI). METHODS A total of 4,335 patients who underwent PCI, CYP2C19 genotyping, and P2Y12 inhibitor treatment were included. The primary outcome was major atherothrombotic events (MAE) within 1 year after PCI. Cox regression was performed to assess event risk in clopidogrel-treated (reference) vs alternatively treated patients, with stabilized inverse probability weights derived from exposure propensity scores after stratifying by ABCD-GENE score and further by CYP2C19 loss-of-function (LOF) genotype. RESULTS Among patients with scores <10 (n = 3,200), MAE was not different with alternative therapy vs clopidogrel (weighted HR: 0.89; 95% CI: 0.65-1.22; P = 0.475). The risk for MAE also did not significantly differ by treatment among patients with scores ≥10 (n = 1,135; weighted HR: 0.75; 95% CI: 0.51-1.11; P = 0.155). Among CYP2C19 LOF allele carriers, MAE risk appeared lower with alternative therapy in both the group with scores <10 (weighted HR: 0.50; 95% CI: 0.25-1.01; P = 0.052) and the group with scores ≥10 (weighted HR: 0.48; 95% CI: 0.29-0.80; P = 0.004), while there was no difference in the group with scores <10 and no LOF alleles (weighted HR: 1.03; 95% CI: 0.70-1.51; P = 0.885). CONCLUSIONS These data support the use of alternative therapy over clopidogrel in CYP2C19 LOF allele carriers after PCI, regardless of ABCD-GENE score, while clopidogrel is as effective as alternative therapy in non-LOF patients with scores <10.
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Affiliation(s)
- Cameron D Thomas
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Francesco Franchi
- Division of Cardiology, Department of Medicine, College of Medicine-Jacksonville, University of Florida, Jacksonville, Florida, USA
| | - Joseph S Rossi
- Division of Cardiology and McAllister Heart Institute, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Ellen C Keeley
- Division of Cardiovascular Medicine, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - R David Anderson
- Division of Cardiovascular Medicine, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Amber L Beitelshees
- Department of Medicine and Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Julio D Duarte
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Luis Ortega-Paz
- Division of Cardiology, Department of Medicine, College of Medicine-Jacksonville, University of Florida, Jacksonville, Florida, USA
| | - Yan Gong
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Richard A Kerensky
- Division of Cardiovascular Medicine, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Natasha Kulick
- Division of Cardiology and McAllister Heart Institute, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA; Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Caitrin W McDonough
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Anh B Nguyen
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Yehua Wang
- Department of Pharmaceutical Outcomes and Policy and Center for Drug Evaluation and Safety, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Marshall Winget
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - William E Yang
- Department of Medicine and Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Julie A Johnson
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, Florida, USA; Division of Cardiovascular Medicine, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Almut G Winterstein
- Department of Pharmaceutical Outcomes and Policy and Center for Drug Evaluation and Safety, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - George A Stouffer
- Division of Cardiology and McAllister Heart Institute, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Dominick J Angiolillo
- Division of Cardiology, Department of Medicine, College of Medicine-Jacksonville, University of Florida, Jacksonville, Florida, USA
| | - Craig R Lee
- Division of Cardiology and McAllister Heart Institute, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA; Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Larisa H Cavallari
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
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Russell C, Campion M, Grove ME, Matsuda K, Klein TE, Ashley E, Naik H, Wheeler MT, Scott SA. Knowledge and attitudes on implementing cardiovascular pharmacogenomic testing. Clin Transl Sci 2024; 17:e13737. [PMID: 38421234 PMCID: PMC10903329 DOI: 10.1111/cts.13737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 12/22/2023] [Accepted: 01/23/2024] [Indexed: 03/02/2024] Open
Abstract
Pharmacogenomics has the potential to inform drug dosing and selection, reduce adverse events, and improve medication efficacy; however, provider knowledge of pharmacogenomic testing varies across provider types and specialties. Given that many actionable pharmacogenomic genes are implicated in cardiovascular medication response variability, this study aimed to evaluate cardiology providers' knowledge and attitudes on implementing clinical pharmacogenomic testing. Sixty-one providers responded to an online survey, including pharmacists (46%), physicians (31%), genetic counselors (15%), and nurses (8%). Most respondents (94%) reported previous genetics education; however, only 52% felt their genetics education prepared them to order a clinical pharmacogenomic test. In addition, most respondents (66%) were familiar with pharmacogenomics, with genetic counselors being most likely to be familiar (p < 0.001). Only 15% of respondents had previously ordered a clinical pharmacogenomic test and a total of 36% indicated they are likely to order a pharmacogenomic test in the future; however, the vast majority of respondents (89%) were interested in pharmacogenomic testing being incorporated into diagnostic cardiovascular genetic tests. Moreover, 84% of providers preferred pharmacogenomic panel testing compared to 16% who preferred single gene testing. Half of the providers reported being comfortable discussing pharmacogenomic results with their patients, but the majority (60%) expressed discomfort with the logistics of test ordering. Reported barriers to implementation included uncertainty about the clinical utility and difficulty choosing an appropriate test. Taken together, cardiology providers have moderate familiarity with pharmacogenomics and limited experience with test ordering; however, they are interested in incorporating pharmacogenomics into diagnostic genetic tests and ordering pharmacogenomic panels.
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Affiliation(s)
- Callan Russell
- Department of GeneticsStanford UniversityStanfordCaliforniaUSA
- Present address:
Northside HospitalAtlantaGeorgiaUSA
| | - MaryAnn Campion
- Department of GeneticsStanford UniversityStanfordCaliforniaUSA
| | - Megan E. Grove
- Clinical Genomics LaboratoryStanford MedicinePalo AltoCaliforniaUSA
- Present address:
Color HealthBurlingameCaliforniaUSA
| | - Kelly Matsuda
- Division of Pharmacy and CardiologyStanford Health CarePalo AltoCaliforniaUSA
| | - Teri E. Klein
- Department of Biomedical Data ScienceStanford UniversityStanfordCaliforniaUSA
| | - Euan Ashley
- Stanford Center for Inherited Cardiovascular DiseaseStanfordCaliforniaUSA
- Department of Medicine, Division of Cardiovascular MedicineStanford UniversityStanfordCaliforniaUSA
| | - Hetanshi Naik
- Department of GeneticsStanford UniversityStanfordCaliforniaUSA
| | - Matthew T. Wheeler
- Stanford Center for Inherited Cardiovascular DiseaseStanfordCaliforniaUSA
- Department of Medicine, Division of Cardiovascular MedicineStanford UniversityStanfordCaliforniaUSA
| | - Stuart A. Scott
- Clinical Genomics LaboratoryStanford MedicinePalo AltoCaliforniaUSA
- Department of PathologyStanford UniversityStanfordCaliforniaUSA
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HU CY, WANG YL, FAN ZX, SUN XP, WANG S, LIU Z. Effect of cytochrome P450 2C19 (CYP2C19) gene polymorphism and clopidogrel reactivity on long term prognosis of patients with coronary heart disease after PCI. J Geriatr Cardiol 2024; 21:90-103. [PMID: 38440340 PMCID: PMC10908579 DOI: 10.26599/1671-5411.2024.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2024] Open
Abstract
Objective To investigate the impact of CYP2C19 gene polymorphism on clopidogrel reactivity and its association with long-term clinical outcome in patients with coronary heart disease (CHD) undergoing percutaneous coronary intervention (PCI). Methods In total, 675 patients were enrolled. Based on the platelet inhibition rate, patients were categorized into two groups: clopidogrel low responsiveness (CLR) and normal clopidogrel responsiveness (NCR). The CLR group was divided into ticagrelor and clopidogrel group based on the antiplatelet drugs used in the follow-up treatment. Patients were classified into three groups (normal metabolizer, intermediate metabolizer, and poor metabolizer) based on the CYP2C19 genotype. We aimed to evaluate the impact of CYP2C19 gene polymorphism on clopidogrel reactivity. The cumulative rates of 12-month all-cause deaths, major adverse cardiovascular events (MACCEs), and bleeding events were calculated. Results CLR was observed in 44.4% of the overall population. Significant differences were observed in the platelet inhibition rate of clopidogrel among the three metabolic genotypes (P < 0.05). At the 12-month follow-up, 13 patients (1.9%) died and 96 patients (14.2%) experienced MACCEs. Patients with CLR (9.6% vs. 11.7% vs. 22.1%, P < 0.05) or poor metabolizer (10.7% vs. 16.4% vs. 22.6%, P = 0.026) experienced a higher rate of MACCEs. A MACCEs risk score between zero and two was calculated. The highest incidence of MACCEs significantly increased with the 2-positive results, and the area under the curve (AUC) was 0.712 (95% CI: 0.650-0.774, P < 0.05). There was no significant difference between the group with a score of one and the occurrence of MACCEs (P > 0.05). Conclusions Low response to clopidogrel in CHD patients is correlated with CYP2C19 gene polymorphism. CYP2C19 genotyping combined with platelet reactivity is an independent predictor of 12-months MACCEs in patients with clopidogrel treatment after PCI, which is better than either test alone.
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Affiliation(s)
- Cheng-Yan HU
- Department of Geriatrics, Fu Xing Hospital, Capital Medical University, Beijing, China
| | - Yan-Ling WANG
- Department of Cardiology, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Zhen-Xing FAN
- Department of Cardiology, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Xi-Peng SUN
- Department of Cardiology, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Shuai WANG
- Department of Cardiology, Xuanwu Hospital Capital Medical University, Beijing, China
- Emergency Department of Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Zhi LIU
- Emergency Department of Xuanwu Hospital, Capital Medical University, Beijing, China
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Akkaif MA, Daud NAA, Noor DAM, Sha'aban A, Kader MASA, Ibrahim B. The Impact of CYP2C19 Genotype on the Platelet Reactivity Index (PRI) among Chronic Coronary Syndromes (CCS) Patients Undergoing Percutaneous Coronary Intervention (PCI): Affectability of Rapid Genetic Testing. Cardiovasc Drugs Ther 2024:10.1007/s10557-024-07544-6. [PMID: 38224415 DOI: 10.1007/s10557-024-07544-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/27/2023] [Indexed: 01/16/2024]
Abstract
BACKGROUND In the Asian population, the presence of the CYP2C19 loss-of-function (LOF) allele is a known genetic variation. This allele is associated with a reduced capacity to metabolize clopidogrel into its active forms through the CYP2C19 enzyme, resulting in diminished platelet inhibition and an elevated risk of recurrent cardiovascular events. Regulatory authorities have recommended an alternative P2Y12 inhibitor, ticagrelor, for individuals carrying the LOF allele. Consequently, this study seeks to assess the impact of the CYP2C19 genotype on the Platelet reactivity index (PRI) using a rapid genetic testing approach in Asian patients with chronic coronary syndromes (CCS) who undergo percutaneous coronary intervention (PCI). METHODS This prospective study employed a parallel design, single-center design, and randomized approach. Genotyping for the CYP2C19*2 and *3 polymorphisms was conducted using the Nested Allele-Specific Multiplex PCR (NASM-PCR) technique. Patients meeting the inclusion criteria underwent genotyping for CYP2C19 polymorphisms. Following PCI, patients were randomly assigned to receive either ticagrelor or clopidogrel. PRI assessments were performed four hours after loading dose administration. The trial was registered with ClinicalTrials.gov under the identifier NCT05516784. RESULTS Among the 94 patients recruited for the study, 40 (42.55%) were identified as carriers of the LOF allele for CYP2C19*2 and *3 (*1/*2, *2/*2, *1/*3). Out of the 84 patients evaluated for PRI (44 receiving clopidogrel and 40 receiving ticagrelor), 21 (47.7%) of the clopidogrel group and 39 (97.5%) of the ticagrelor group exhibited a favorable response to antiplatelet therapy (PRI < 50). Patients treated with ticagrelor demonstrated superior antiplatelet responses compared to those receiving clopidogrel, regardless of LOF carrier status (P = 0.005 and < 0.001 for non-LOF and LOF carriers, respectively). CONCLUSION NASM-PCR as a rapid genetic test holds promise for personalizing antiplatelet therapy in Asian CCS patients.
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Affiliation(s)
- Mohammed Ahmed Akkaif
- Department of Cardiology, QingPu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai, 201700, People's Republic of China.
- School of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, 11800, Malaysia.
| | | | | | - Abubakar Sha'aban
- School of Medicine, Cardiff University, Heath Park, Cardiff, CF14 4YS, UK
| | | | - Baharudin Ibrahim
- Faculty of Pharmacy, University of Malaya, Federal Territory Malaysia, Kuala Lumpur, 50603, Malaysia.
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5
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Shue SA, Rowe E, Bell LA, Damush T, DeLong A, Gowan T, Skaar T, Haggstrom D. Pharmacogenomics implementation across multiple clinic settings: a qualitative evaluation. Pharmacogenomics 2023; 24:881-893. [PMID: 37975236 DOI: 10.2217/pgs-2023-0179] [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] [Indexed: 11/19/2023] Open
Abstract
Aim: To advance clinical adoption and implementation of pharmacogenomics (PGx) testing, barriers and facilitators to these efforts must be understood. This study identified and examined barriers and facilitators to active implementation of a PGx program across multiple clinic settings in an academic healthcare system. Materials & methods: 28 contributors to the PGx implementation (e.g., clinical providers, informatics specialists) completed an interview to elicit their perceptions of the implementation. Results: Qualitative analysis identified several barriers and facilitators that spanned different stages of the implementation process. Specifically, unclear test payment mechanisms, decision support tool development, rigid workflows and provider education were noted as barriers to the PGx implementation. A multidisciplinary implementation team and leadership support emerged as key facilitators. Furthermore, participants also suggested strategies to overcome or maintain these factors. Conclusion: Assessing real-world implementation perceptions and suggested strategies from a range of implementation contributors facilitates a more comprehensive framework and best-practice guidelines for PGx implementation.
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Affiliation(s)
- Sarah A Shue
- VA HSR&D Center for Health Information & Communication, Roudebush VA Medical Center, Indianapolis, IN 46202, USA
| | - Elizabeth Rowe
- Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Lauren A Bell
- Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Teresa Damush
- VA HSR&D Center for Health Information & Communication, Roudebush VA Medical Center, Indianapolis, IN 46202, USA
- Division of General Internal Medicine & Geriatrics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Center for Health Services Research, Regenstrief Institute, Indianapolis, IN 46202, USA
| | - Alexis DeLong
- Center for Health Services Research, Regenstrief Institute, Indianapolis, IN 46202, USA
| | - Tayler Gowan
- Center for Health Services Research, Regenstrief Institute, Indianapolis, IN 46202, USA
| | - Todd Skaar
- Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - David Haggstrom
- VA HSR&D Center for Health Information & Communication, Roudebush VA Medical Center, Indianapolis, IN 46202, USA
- Division of General Internal Medicine & Geriatrics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Center for Health Services Research, Regenstrief Institute, Indianapolis, IN 46202, USA
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Oni-Orisan A, Tuteja S, Hoffecker G, Smith DM, Castrichini M, Crews KR, Murphy WA, Nguyen NHK, Huang Y, Lteif C, Friede KA, Tantisira K, Aminkeng F, Voora D, Cavallari LH, Whirl-Carrillo M, Duarte JD, Luzum JA. An Introductory Tutorial on Cardiovascular Pharmacogenetics for Healthcare Providers. Clin Pharmacol Ther 2023; 114:275-287. [PMID: 37303270 PMCID: PMC10406163 DOI: 10.1002/cpt.2957] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 05/17/2023] [Indexed: 06/13/2023]
Abstract
Pharmacogenetics can improve clinical outcomes by reducing adverse drug effects and enhancing therapeutic efficacy for commonly used drugs that treat a wide range of cardiovascular diseases. One of the major barriers to the clinical implementation of cardiovascular pharmacogenetics is limited education on this field for current healthcare providers and students. The abundance of pharmacogenetic literature underscores its promise, but it can also be challenging to learn such a wealth of information. Moreover, current clinical recommendations for cardiovascular pharmacogenetics can be confusing because they are outdated, incomplete, or inconsistent. A myriad of misconceptions about the promise and feasibility of cardiovascular pharmacogenetics among healthcare providers also has halted clinical implementation. Therefore, the main goal of this tutorial is to provide introductory education on the use of cardiovascular pharmacogenetics in clinical practice. The target audience is any healthcare provider (or student) with patients that use or have indications for cardiovascular drugs. This tutorial is organized into the following 6 steps: (1) understand basic concepts in pharmacogenetics; (2) gain foundational knowledge of cardiovascular pharmacogenetics; (3) learn the different organizations that release cardiovascular pharmacogenetic guidelines and recommendations; (4) know the current cardiovascular drugs/drug classes to focus on clinically and the supporting evidence; (5) discuss an example patient case of cardiovascular pharmacogenetics; and (6) develop an appreciation for emerging areas in cardiovascular pharmacogenetics. Ultimately, improved education among healthcare providers on cardiovascular pharmacogenetics will lead to a greater understanding for its potential in improving outcomes for a leading cause of morbidity and mortality.
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Affiliation(s)
- Akinyemi Oni-Orisan
- Department of Clinical Pharmacy, University of California San Francisco, San Francisco, California, USA
| | - Sony Tuteja
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Glenda Hoffecker
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - D. Max Smith
- MedStar Health, Columbia, Maryland, USA
- Department of Oncology, Georgetown University Medical Center, Washington, DC, USA
| | - Matteo Castrichini
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Kristine R. Crews
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - William A. Murphy
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Nam H. K. Nguyen
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - Yimei Huang
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - Christelle Lteif
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - Kevin A. Friede
- Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Kelan Tantisira
- Division of Respiratory Medicine, Department of Pediatrics, University of California San Diego, San Diego, California, USA
| | - Folefac Aminkeng
- Departments of Medicine and Biomedical Informatics (DBMI), Yong Loo Lin School of Medicine, National University of Singapore, Singapore City, Singapore
- Centre for Precision Health (CPH), National University Health System (NUHS), Singapore City, Singapore
| | - Deepak Voora
- Precision Medicine Program, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Larisa H. Cavallari
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | | | - Julio D. Duarte
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - Jasmine A. Luzum
- Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA
- Center for Individualized and Genomic Medicine Research, Henry Ford Health System, Detroit, Michigan, USA
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Fahim SM, Alexander CSW, Qian J, Ngorsuraches S, Hohmann NS, Lloyd KB, Reagan A, Hart L, McCormick N, Westrick SC. Current published evidence on barriers and proposed strategies for genetic testing implementation in health care settings: A scoping review. J Am Pharm Assoc (2003) 2023; 63:998-1016. [PMID: 37119989 DOI: 10.1016/j.japh.2023.04.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 04/20/2023] [Accepted: 04/22/2023] [Indexed: 05/01/2023]
Abstract
BACKGROUND The slow uptake of genetic testing in routine clinical practice warrants the attention of researchers and practitioners to find effective strategies to facilitate implementation. OBJECTIVES This study aimed to identify the barriers to and strategies for pharmacogenetic testing implementation in a health care setting from published literature. METHODS A scoping review was conducted in August 2021 with an expanded literature search using Ovid MEDLINE, Web of Science, International Pharmaceutical Abstract, and Google Scholar to identify studies reporting implementation of pharmacogenetic testing in a health care setting, from a health care system's perspective. Articles were screened using DistillerSR and findings were organized using the 5 major domains of Consolidated Framework for Implementation Research (CFIR). RESULTS A total of 3536 unique articles were retrieved from the above sources, with only 253 articles retained after title and abstract screening. Upon screening the full texts, 57 articles (representing 46 unique practice sites) were found matching the inclusion criteria. We found that most reported barriers and their associated strategies to the implementation of pharmacogenetic testing surrounded 2 CFIR domains: intervention characteristics and inner settings. Factors relating to cost and reimbursement were described as major barriers in the intervention characteristics. In the same domain, another major barrier was the lack of utility studies to provide evidence for genetic testing uptake. Technical hurdles, such as integrating genetic information to medical records, were identified as an inner settings barrier. Collaborations and lessons from early implementers could be useful strategies to overcome majority of the barriers across different health care settings. Strategies proposed by the included implementation studies to overcome these barriers are summarized and can be used as guidance in future. CONCLUSION Barriers and strategies identified in this scoping review can provide implementation guidance for practice sites that are interested in implementing genetic testing.
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Padmanabhan S, du Toit C, Dominiczak AF. Cardiovascular precision medicine - A pharmacogenomic perspective. CAMBRIDGE PRISMS. PRECISION MEDICINE 2023; 1:e28. [PMID: 38550953 PMCID: PMC10953758 DOI: 10.1017/pcm.2023.17] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 05/24/2023] [Accepted: 06/12/2023] [Indexed: 05/16/2024]
Abstract
Precision medicine envisages the integration of an individual's clinical and biological features obtained from laboratory tests, imaging, high-throughput omics and health records, to drive a personalised approach to diagnosis and treatment with a higher chance of success. As only up to half of patients respond to medication prescribed following the current one-size-fits-all treatment strategy, the need for a more personalised approach is evident. One of the routes to transforming healthcare through precision medicine is pharmacogenomics (PGx). Around 95% of the population is estimated to carry one or more actionable pharmacogenetic variants and over 75% of adults over 50 years old are on a prescription with a known PGx association. Whilst there are compelling examples of pharmacogenomic implementation in clinical practice, the case for cardiovascular PGx is still evolving. In this review, we shall summarise the current status of PGx in cardiovascular diseases and look at the key enablers and barriers to PGx implementation in clinical practice.
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Affiliation(s)
- Sandosh Padmanabhan
- BHF Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Clea du Toit
- BHF Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Anna F. Dominiczak
- BHF Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
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Smith DM, Wake DT, Dunnenberger HM. Pharmacogenomic Clinical Decision Support: A Scoping Review. Clin Pharmacol Ther 2023; 113:803-815. [PMID: 35838358 DOI: 10.1002/cpt.2711] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 07/10/2022] [Indexed: 11/06/2022]
Abstract
Clinical decision support (CDS) is often cited as an essential part of pharmacogenomics (PGx) implementations. A multitude of strategies are available; however, it is unclear which strategies are effective and which metrics are used to quantify clinical utility. The objective of this scoping review was to aggregate previous studies into a cohesive depiction of the current state of PGx CDS implementations and identify areas for future research on PGx CDS. Articles were included if they (i) described electronic CDS tools for PGx and (ii) reported metrics related to PGx CDS. Twenty of 3,449 articles were included and provided data on PGx CDS metrics from 15 institutions, with 93% of programs located at academic medical centers. The most common tools in CDS implementations were interruptive post-test alerts. Metrics for clinical response and alert response ranged from 12-73% and 21-98%, respectively. Few data were found on changes in metrics over time and measures that drove the evolution of CDS systems. Relatively few data were available regarding support of optimal approaches for PGx CDS. Post-test alerts were the most widely studied approach, and their effectiveness varied greatly. Further research on the usability, effectiveness, and optimization of CDS tools is needed.
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Affiliation(s)
- D Max Smith
- MedStar Health, Columbia, Maryland, USA.,Georgetown University Medical Center, Washington, District of Columbia, USA
| | - Dyson T Wake
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA
| | - Henry M Dunnenberger
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA
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10
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Cavallari LH, Limdi NA, Beitelshees AL, Lee JC, Duarte JD, Franchi F, Tuteja S, Giri J, Empey PE, Kreutz RP, Skaar TC, Allen JM, Coons JC, Gong Y, McDonough CW, Stevenson JM, Thomas CD, Johnson JA, Stouffer GA, Angiolillo DJ, Lee CR. Evaluation of Potential Racial Disparities in CYP2C19-Guided P2Y 12 Inhibitor Prescribing After Percutaneous Coronary Intervention. Clin Pharmacol Ther 2023; 113:615-623. [PMID: 36306392 PMCID: PMC9957848 DOI: 10.1002/cpt.2776] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 10/21/2022] [Indexed: 01/16/2023]
Abstract
Black patients suffer worse outcomes after percutaneous coronary intervention (PCI) than White patients. Inequities in antiplatelet prescribing may contribute to this health disparity. We compared P2Y12 inhibitor prescribing by race following CYP2C19 genotyping to guide antiplatelet therapy selection after PCI. Patients from 9 sites that performed clinical CYP2C19 genotyping after PCI were included. Alternative therapy (e.g., prasugrel or ticagrelor) was recommended for CYP2C19 no-function allele carriers, in whom clopidogrel is predicted to be less effective. The primary outcome was choice of P2Y12 inhibitor (clopidogrel vs. alternative therapy) based on genotype. Of 3,342 patients included, 2,448 (73%) were White, and 659 (20%) were Black. More Black than White patients had a no-function allele (34.3% vs. 29.7%, P = 0.024). At hospital discharge following PCI, 44.2% of Black and 44.0% of White no-function allele carriers were prescribed alternative therapy. At the time of the last follow-up within 12 months, numerically fewer Black (51.8%) than White (56.7%) no-function allele carriers were prescribed alternative therapy (P = 0.190). However, the difference was not significant after accounting for other factors associated with P2Y12 inhibitor selection (odds ratio 0.79, 95% confidence interval 0.58-1.08). Alternative therapy use did not differ between Black (14.3%) and White (16.7%) patients without a no-function allele (P = 0.232). Among real-world patients who received CYP2C19 testing after PCI, P2Y12 inhibitor prescribing rates did not differ between Black and White patients. Our data suggest an absence of racial disparity in genotype-guided antiplatelet prescribing among patients receiving CYP2C19 testing.
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Affiliation(s)
- Larisa H. Cavallari
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida College of Pharmacy, Gainesville, FL
| | - Nita A. Limdi
- Department of Neurology, Program for Translational Pharmacogenomics and Hugh Kaul Personalized Medicine Institute, School of Medicine, University of Alabama at Birmingham, AL
| | - Amber L. Beitelshees
- University of Maryland School of Medicine, Department of Medicine and Program for Personalized and Genomic Medicine, Baltimore, MD
| | - James C. Lee
- Department of Pharmacy Practice, University of Illinois Chicago, Chicago, IL
| | - Julio D. Duarte
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida College of Pharmacy, Gainesville, FL
| | - Francesco Franchi
- University of Florida College of Medicine-Jacksonville, Jacksonville, FL, USA
| | - Sony Tuteja
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Jay Giri
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Philip E. Empey
- Department of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, Pittsburgh, PA
| | | | - Todd C. Skaar
- Indiana University School of Medicine, Indianapolis, IN
| | - John M. Allen
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Orlando, FL
| | - James C. Coons
- Department of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, Pittsburgh, PA
| | - Yan Gong
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida College of Pharmacy, Gainesville, FL
| | - Caitrin W. McDonough
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida College of Pharmacy, Gainesville, FL
| | - James M. Stevenson
- Department of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, Pittsburgh, PA
| | - Cameron D. Thomas
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida College of Pharmacy, Gainesville, FL
| | - Julie A. Johnson
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida College of Pharmacy, Gainesville, FL
| | - George A. Stouffer
- Division of Cardiology and McAllister Heart Institute, University of North Carolina, Chapel Hill, NC
| | | | - Craig R. Lee
- Division of Cardiology and McAllister Heart Institute, University of North Carolina, Chapel Hill, NC
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC
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11
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Cavallari LH, Franchi F. Genotype-Guided Selection of Antiplatelet Therapy: The Evidence Moves East. JACC Cardiovasc Interv 2023; 16:844-846. [PMID: 36898938 DOI: 10.1016/j.jcin.2023.02.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 02/14/2023] [Indexed: 03/10/2023]
Affiliation(s)
- Larisa H Cavallari
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA.
| | - Francesco Franchi
- Department of Medicine, Division of Cardiology, University of Florida College of Medicine, Jacksonville, Florida, USA
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12
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Obeng AO, Scott SA, Kaszemacher T, Ellis SB, Mejia A, Gomez A, Nadukuru R, Abul-Husn NS, Vega A, Waite E, Gottesman O, Cho J, Bottinger EP. Prescriber Adoption of SLCO1B1 Genotype-Guided Simvastatin Clinical Decision Support in a Clinical Pharmacogenetics Program. Clin Pharmacol Ther 2023; 113:321-327. [PMID: 36372942 DOI: 10.1002/cpt.2773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 10/08/2022] [Indexed: 11/15/2022]
Abstract
Pharmacogenetic implementation programs are increasingly feasible due to the availability of clinical guidelines for implementation research. The utilization of these resources has been reported with selected drug-gene pairs; however, little is known about how prescribers respond to pharmacogenetic recommendations for statin therapy. We prospectively assessed prescriber interaction with point-of-care clinical decision support (CDS) to guide simvastatin therapy for a diverse cohort of primary care patients enrolled in a clinical pharmacogenetics program. Of the 1,639 preemptively genotyped patients, 298 (18.2%) had an intermediate function (IF) OATP1B1 phenotype and 25 (1.53%) had a poor function (PF) phenotype, predicted by a common single nucleotide variant in the SLCO1B1 gene (c.521T>C; rs4149056). Clinicians were presented with CDS when simvastatin was prescribed for patients with IF or PF through the electronic health record. Importantly, 64.2% of the CDS deployed at the point-of-care was accepted by the prescribers and resulted in prescription changes. Statin intensity was found to significantly influence prescriber adoption of the pharmacogenetic-guided CDS, whereas patient gender or race, prescriber type, or pharmacogenetic training status did not significantly influence adoption. This study demonstrates that primary care providers readily adopt pharmacogenetic information to guide statin therapy for the majority of patients with preemptive genotype data.
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Affiliation(s)
- Aniwaa Owusu Obeng
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Pharmacy Department, The Mount Sinai Hospital, New York, New York, USA.,Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Stuart A Scott
- Department of Pathology, Stanford University, Stanford, California, USA.,Clinical Genomics Laboratory, Stanford Health Care, Palo Alto, California, USA
| | - Tom Kaszemacher
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Stephen B Ellis
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ana Mejia
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Alanna Gomez
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Rajiv Nadukuru
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Noura S Abul-Husn
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Division of Genomic Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,23andMe Inc., Sunnyvale, California, USA
| | - Aida Vega
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Mount Sinai Faculty Practice Associates, Primary Care Program, The Mount Sinai Health system, New York, New York, USA
| | - Eva Waite
- Mount Sinai Faculty Practice Associates, Primary Care Program, The Mount Sinai Health system, New York, New York, USA
| | - Omri Gottesman
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Empirico Inc., San Diego, California, USA
| | - Judy Cho
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Erwin P Bottinger
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Digital Health Center, Hasso Plattner Institute, University of Potsdam, Potsdam, Germany
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13
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Thomas CD, Williams AK, Lee CR, Cavallari LH. Pharmacogenetics of P2Y 12 receptor inhibitors. Pharmacotherapy 2023; 43:158-175. [PMID: 36588476 PMCID: PMC9931684 DOI: 10.1002/phar.2758] [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: 10/07/2022] [Revised: 12/13/2022] [Accepted: 12/14/2022] [Indexed: 01/03/2023]
Abstract
Oral P2Y12 inhibitors are commonly prescribed for cardiovascular disease and include clopidogrel, prasugrel, and ticagrelor. Each of these drugs has its strengths and weaknesses. Prasugrel and ticagrelor are more potent inhibitors of platelet aggregation and were shown to be superior to clopidogrel in preventing major adverse cardiovascular events after an acute coronary syndrome and percutaneous coronary intervention (PCI) in the absence of genotyping. However, both are associated with an increased risk for non-coronary artery bypass-related bleeding. Clopidogrel is a prodrug requiring bioactivation, primarily via the CYP2C19 enzyme. Approximately 30% of individuals have a CYP2C19 no function allele and decreased or no CYP2C19 enzyme activity. Clopidogrel-treated carriers of a CYP2C19 no function allele have decreased exposure to the clopidogrel active metabolite and lesser inhibition of platelet aggregation, which likely contributed to reduced clopidogrel efficacy in clinical trials. The pharmacogenetic data for clopidogrel are most robust in the setting of PCI, but evidence is accumulating for other indications. Guidance is available from expert consensus groups and regulatory agencies to assist with integrating genetic information into P2Y12 inhibitor prescribing decisions, and CYP2C19 genotype-guided antiplatelet therapy after PCI is one of the most common examples of clinical pharmacogenetic implementation. Herein, we review the evidence for pharmacogenetic associations with clopidogrel response and outcomes with genotype-guided P2Y12 inhibitor selection and describe guidance to assist with pharmacogenetic implementation. We also describe processes for applying genotype data for P2Y12 inhibitor therapy selection and remaining gaps in the field. Ultimately, consideration of both clinical and genetic factors may guide selection of P2Y12 inhibitor therapy that optimally balances the atherothrombotic and bleeding risks.
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Affiliation(s)
- Cameron D Thomas
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Alexis K Williams
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Craig R Lee
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Larisa H Cavallari
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, Florida, USA
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14
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Application of Pharmacogenetics for the Use of Antiplatelet and Anticoagulant Drugs. CURRENT CARDIOVASCULAR RISK REPORTS 2023. [DOI: 10.1007/s12170-022-00713-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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15
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Ross S, Krebs K, Paré G, Milani L. Pharmacogenomics in Stroke and Cardiovascular Disease: State of the Art. Stroke 2023; 54:270-278. [PMID: 36325912 DOI: 10.1161/strokeaha.122.037717] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
There is considerable interindividual variability in the response to antiplatelet and anticoagulant therapies, and this variation may be attributable to genetic variants. There has been an increased understanding of the genetic architecture of stroke and cardiovascular disease, which has been driven by advancements in genomic technologies and this has raised the possibility of more targeted pharmaceutical treatments. Pharmacogenetics promises to use a patient's genetic profile to treat those who are more likely to benefit from a particular intervention by selecting the best possible therapy. Although there are numerous studies indicating strong evidence for the effect of specific genotypes on the outcomes of vascular drugs, the adoption of pharmacogenetic testing in clinical practice has been slow. This resistance may stem from sometimes conflicting findings among pharmacogenetic studies, a lack of stroke-specific randomized controlled trials to test the effectiveness of genetically-guided therapies, and the practical and cost-effective implementation of genetic testing within the clinic. Thus, this review provides an overview of the genetic variants that influence the individual responses to aspirin, clopidogrel, warfarin and statins and the different methods for pharmacogenetic testing and guidelines for clinical implementation for stroke patients.
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Affiliation(s)
- Stephanie Ross
- Department of Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (S.R., G.P.)
| | - Kristi Krebs
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Estonia (K.K., L.M.)
| | - Guillaume Paré
- Department of Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, Ontario, Canada (S.R., G.P.).,Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada (G.P.).,Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada (G.P.).,Thrombosis and Atherosclerosis Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, Canada (G.P.)
| | - Lili Milani
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Estonia (K.K., L.M.)
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16
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Pasternak AL, Ward K, Irwin M, Okerberg C, Hayes D, Fritsche L, Zoellner S, Virzi J, Choe HM, Ellingrod V. Identifying the prevalence of clinically actionable drug-gene interactions in a health system biorepository to guide pharmacogenetics implementation services. Clin Transl Sci 2022; 16:292-304. [PMID: 36510710 PMCID: PMC9926071 DOI: 10.1111/cts.13449] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 10/14/2022] [Accepted: 10/24/2022] [Indexed: 12/15/2022] Open
Abstract
Understanding patterns of drug-gene interactions (DGIs) is important for advancing the clinical implementation of pharmacogenetics (PGx) into routine practice. Prior studies have estimated the prevalence of DGIs, but few have confirmed DGIs in patients with known genotypes and prescriptions, nor have they evaluated clinician characteristics associated with DGI-prescribing. This retrospective chart review assessed prevalence of DGI, defined as a medication prescription in a patient with a PGx phenotype that has a clinical practice guideline recommendation to adjust therapy or monitor drug response, for patients enrolled in a research genetic biorepository linked to electronic health records (EHRs). The prevalence of prescriptions for medications with pharmacogenetic (PGx) guidelines, proportion of prescriptions with DGI, location of DGI prescription, and clinical service of the prescriber were evaluated descriptively. Seventy-five percent (57,058/75,337) of patients had a prescription for a medication with a PGx guideline. Up to 60% (n = 26,067/43,647) of patients had at least one DGI when considering recommendations to adjust or monitor therapy based on genotype. The majority (61%) of DGIs occurred in outpatient prescriptions. Proton pump inhibitors were the most common DGI medication for 11 of 12 clinical services. Almost 25% of patients (n = 10,706/43,647) had more than one unique DGI, and, among this group of patients, 61% had a DGI with more than one gene. These findings can inform future clinical implementation by identifying key stakeholders for initial DGI prescriptions, helping to inform workflows. The high prevalence of multigene interactions identified also support the use of panel PGx testing as an implementation strategy.
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Affiliation(s)
- Amy L. Pasternak
- Department of Clinical PharmacyUniversity of Michigan College of PharmacyAnn ArborMichiganUSA,Michigan MedicineUniversity of Michigan HealthAnn ArborMichiganUSA
| | - Kristen Ward
- Department of Clinical PharmacyUniversity of Michigan College of PharmacyAnn ArborMichiganUSA,Michigan MedicineUniversity of Michigan HealthAnn ArborMichiganUSA
| | - Madison Irwin
- Department of Clinical PharmacyUniversity of Michigan College of PharmacyAnn ArborMichiganUSA,Michigan MedicineUniversity of Michigan HealthAnn ArborMichiganUSA
| | - Carl Okerberg
- Michigan MedicineUniversity of Michigan HealthAnn ArborMichiganUSA
| | - David Hayes
- Department of Clinical PharmacyUniversity of Michigan College of PharmacyAnn ArborMichiganUSA
| | - Lars Fritsche
- Department of BiostatisticsUniversity of Michigan School of Public HealthAnn ArborMichiganUSA
| | - Sebastian Zoellner
- Department of BiostatisticsUniversity of Michigan School of Public HealthAnn ArborMichiganUSA
| | - Jessica Virzi
- Michigan MedicineUniversity of Michigan HealthAnn ArborMichiganUSA
| | - Hae Mi Choe
- Department of Clinical PharmacyUniversity of Michigan College of PharmacyAnn ArborMichiganUSA,Michigan MedicineUniversity of Michigan HealthAnn ArborMichiganUSA
| | - Vicki Ellingrod
- Department of Clinical PharmacyUniversity of Michigan College of PharmacyAnn ArborMichiganUSA
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17
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Cavallari LH, Pratt VM. Building Evidence for Clinical Use of Pharmacogenomics and Reimbursement for Testing. Clin Lab Med 2022; 42:533-546. [PMID: 36368780 PMCID: PMC9896522 DOI: 10.1016/j.cll.2022.09.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Larisa H Cavallari
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, University of Florida, PO Box 100486, Gainesville, FL 32610-0486, USA.
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18
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Nguyen AB, Cavallari LH, Rossi JS, Stouffer GA, Lee CR. Evaluation of race and ethnicity disparities in outcome studies of CYP2C19 genotype-guided antiplatelet therapy. Front Cardiovasc Med 2022; 9:991646. [PMID: 36082121 PMCID: PMC9445150 DOI: 10.3389/fcvm.2022.991646] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 08/05/2022] [Indexed: 11/15/2022] Open
Abstract
Dual antiplatelet therapy with a P2Y12 inhibitor (clopidogrel, prasugrel, or ticagrelor) and aspirin remains the standard of care for all patients undergoing percutaneous coronary intervention (PCI). It is well-established that patients carrying CYP2C19 no function alleles have impaired capacity to convert clopidogrel into its active metabolite and thus, are at higher risk of major adverse cardiovascular events (MACE). The metabolism and clinical effectiveness of prasugrel and ticagrelor are not affected by CYP2C19 genotype, and accumulating evidence from multiple randomized and observational studies demonstrates that CYP2C19 genotype-guided antiplatelet therapy following PCI improves clinical outcomes. However, most antiplatelet pharmacogenomic outcome studies to date have lacked racial and ethnic diversity. In this review, we will (1) summarize current guideline recommendations and clinical outcome evidence related to CYP2C19 genotype-guided antiplatelet therapy, (2) evaluate the presence of potential racial and ethnic disparities in the major outcome studies supporting current genotype-guided antiplatelet therapy recommendations, and (3) identify remaining knowledge gaps and future research directions necessary to advance implementation of this precision medicine strategy for dual antiplatelet therapy in diverse, real-world clinical settings.
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Affiliation(s)
- Anh B. Nguyen
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Larisa H. Cavallari
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, FL, United States
| | - Joseph S. Rossi
- Division of Cardiology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - George A. Stouffer
- Division of Cardiology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Craig R. Lee
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- Division of Cardiology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
- *Correspondence: Craig R. Lee,
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19
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de Bles NJ, Gast DAA, van der Slot AJC, Didden R, van Hemert AM, Rius-Ottenheim N, Giltay EJ. Lessons learned from two clinical trials on nutritional supplements to reduce aggressive behaviour. J Eval Clin Pract 2022; 28:607-614. [PMID: 35040231 PMCID: PMC9543803 DOI: 10.1111/jep.13653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Accepted: 12/14/2021] [Indexed: 12/01/2022]
Abstract
BACKGROUND Setting up and conducting a randomised controlled trial (RCT) has many challenges-particularly trials that include vulnerable individuals with behavioural problems or who reside in facilities that focus on care as opposed to research. These populations are underrepresented in RCTs. APPROACH In our paper, we describe the challenges and practical lessons learned from two RCTs in two care settings involving long-stay psychiatric inpatients and people with intellectual disabilities. We describe five main difficulties and how these were overcome: (1) multisite setting, (2) inclusion of vulnerable participants, (3) nutritional supplements and placebos, (4) assessment of behavioural outcomes, and (5) collecting bio samples. CONCLUSIONS By sharing these practical experiences, we hope to inform other researchers how to optimally design their trials, while avoiding and minimising the difficulties that we encountered, and to facilitate the implementation of a trial. Both trials were registered in the Clinical Trials Register (RCT A: NCT02498106; RCT B: NCT03212092).
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Affiliation(s)
- Nienke J de Bles
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| | - David A A Gast
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands.,Gemiva-SVG Group, Gouda, The Netherlands
| | - Abe J C van der Slot
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| | - Robert Didden
- Behavioural Science Institute, Radboud University, Nijmegen, The Netherlands.,Trajectum, Zwolle, The Netherlands
| | - Albert M van Hemert
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Erik J Giltay
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
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20
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Thomas CD, Franchi F, Keeley EC, Rossi JS, Winget M, David Anderson R, Dempsey AL, Gong Y, Gower MN, Kerensky RA, Kulick N, Malave JG, McDonough CW, Mulrenin IR, Starostik P, Beitelshees AL, Johnson JA, Stouffer GA, Winterstein AG, Angiolillo DJ, Lee CR, Cavallari LH. Impact of the ABCD-GENE Score on Clopidogrel Clinical Effectiveness after PCI: A Multi-Site, Real-World Investigation. Clin Pharmacol Ther 2022; 112:146-155. [PMID: 35429163 PMCID: PMC9233085 DOI: 10.1002/cpt.2612] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 04/07/2022] [Indexed: 12/13/2022]
Abstract
The Age, Body mass index, Chronic kidney disease, Diabetes mellitus, and CYP2C19 GENEtic variants (ABCD-GENE) score was developed to identify patients at risk for diminished antiplatelet effects with clopidogrel after percutaneous coronary intervention (PCI). The objective of this study was to validate the ability of the ABCD-GENE score to predict the risk for atherothrombotic events in a diverse, real-world population of clopidogrel-treated patients who underwent PCI and received clinical CYP2C19 genotyping to guide antiplatelet therapy. A total of 2,341 adult patients who underwent PCI, were genotyped for CYP2C19, and received treatment with clopidogrel across four institutions were included (mean age 64 ± 12 years, 35% women, and 20% Black). The primary outcome was major atherothrombotic events, defined as the composite of all-cause death, myocardial infarction, ischemic stroke, stent thrombosis, or revascularization for unstable angina within 12 months following PCI. Major adverse cardiovascular events (MACE), defined as the composite of cardiovascular death, myocardial infarction, ischemic stroke, or stent thrombosis, was assessed as the secondary outcome. Outcomes were compared between patients with an ABCD-GENE score ≥ 10 vs. < 10. The risk of major atherothrombotic events was higher in patients with an ABCD-GENE score ≥ 10 (n = 505) vs. < 10 (n = 1,836; 24.6 vs. 14.7 events per 100 patient-years, adjusted hazard ratio (HR) 1.66, 95% confidence interval (CI), 1.23-2.25, P < 0.001). The risk for MACE was also higher among patients with a score ≥ 10 vs. < 10 (16.7 vs. 10.1 events per 100 patient-years, adjusted HR 1.59, 95% CI 1.11-2.30, P = 0.013). Our diverse, real-world data demonstrate diminished clopidogrel effectiveness in post-PCI patients with an ABCD-GENE score ≥ 10.
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Affiliation(s)
- Cameron D Thomas
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Francesco Franchi
- Division of Cardiology, Department of Medicine, College of Medicine-Jacksonville, University of Florida, Jacksonville, Florida, USA
| | - Ellen C Keeley
- Division of Cardiovascular Medicine, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Joseph S Rossi
- Division of Cardiology and McAllister Heart Institute, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Marshall Winget
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - R David Anderson
- Division of Cardiovascular Medicine, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Alyssa L Dempsey
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Yan Gong
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Megan N Gower
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Richard A Kerensky
- Division of Cardiovascular Medicine, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Natasha Kulick
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Jean G Malave
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Caitrin W McDonough
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Ian R Mulrenin
- Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Petr Starostik
- Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - Amber L Beitelshees
- Department of Medicine and Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Julie A Johnson
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, Florida, USA.,Division of Cardiovascular Medicine, College of Medicine, University of Florida, Gainesville, Florida, USA
| | - George A Stouffer
- Division of Cardiology and McAllister Heart Institute, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Almut G Winterstein
- Department of Pharmaceutical Outcomes & Policy and Center for Drug Evaluation and Safety, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Dominick J Angiolillo
- Division of Cardiology, Department of Medicine, College of Medicine-Jacksonville, University of Florida, Jacksonville, Florida, USA
| | - Craig R Lee
- Division of Cardiology and McAllister Heart Institute, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Larisa H Cavallari
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, Florida, USA
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21
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Salloum RG, Bishop JR, Elchynski AL, Smith DM, Rowe E, Blake KV, Limdi NA, Aquilante CL, Bates J, Beitelshees AL, Cipriani A, Duong BQ, Empey PE, Formea CM, Hicks JK, Mroz P, Oslin D, Pasternak AL, Petry N, Ramsey LB, Schlichte A, Swain SM, Ward KM, Wiisanen K, Skaar TC, Van Driest SL, Cavallari LH, Tuteja S. Best-worst scaling methodology to evaluate constructs of the Consolidated Framework for Implementation Research: application to the implementation of pharmacogenetic testing for antidepressant therapy. Implement Sci Commun 2022; 3:52. [PMID: 35568931 PMCID: PMC9107643 DOI: 10.1186/s43058-022-00300-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 04/25/2022] [Indexed: 11/10/2022] Open
Abstract
Background Despite the increased demand for pharmacogenetic (PGx) testing to guide antidepressant use, little is known about how to implement testing in clinical practice. Best–worst scaling (BWS) is a stated preferences technique for determining the relative importance of alternative scenarios and is increasingly being used as a healthcare assessment tool, with potential applications in implementation research. We conducted a BWS experiment to evaluate the relative importance of implementation factors for PGx testing to guide antidepressant use. Methods We surveyed 17 healthcare organizations that either had implemented or were in the process of implementing PGx testing for antidepressants. The survey included a BWS experiment to evaluate the relative importance of Consolidated Framework for Implementation Research (CFIR) constructs from the perspective of implementing sites. Results Participating sites varied on their PGx testing platform and methods for returning recommendations to providers and patients, but they were consistent in ranking several CFIR constructs as most important for implementation: patient needs/resources, leadership engagement, intervention knowledge/beliefs, evidence strength and quality, and identification of champions. Conclusions This study demonstrates the feasibility of using choice experiments to systematically evaluate the relative importance of implementation determinants from the perspective of implementing organizations. BWS findings can inform other organizations interested in implementing PGx testing for mental health. Further, this study demonstrates the application of BWS to PGx, the findings of which may be used by other organizations to inform implementation of PGx testing for mental health disorders. Supplementary Information The online version contains supplementary material available at 10.1186/s43058-022-00300-7.
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Affiliation(s)
- Ramzi G Salloum
- University of Florida Clinical and Translational Science Institute, Gainesville, FL, USA.,University of Florida College of Medicine, Gainesville, FL, USA
| | - Jeffrey R Bishop
- University of Minnesota Medical School, Minneapolis, MN, USA.,University of Minnesota College of Pharmacy, Minneapolis, MN, USA
| | | | - D Max Smith
- MedStar Health, Georgetown University Medical Center, Washington, DC, USA
| | - Elizabeth Rowe
- Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Nita A Limdi
- University of Alabama Heersink School of Medicine, Birmingham, AL, USA
| | | | - Jill Bates
- Durham VA Healthcare System, Durham, NC, USA
| | | | - Amber Cipriani
- University of North Carolina Medical Center, Chapel Hill, NC, USA
| | | | - Philip E Empey
- University of Pittsburgh School of Pharmacy, Pittsburgh, PA, USA
| | | | | | - Pawel Mroz
- University of Minnesota Medical School, Minneapolis, MN, USA
| | - David Oslin
- Corporal Michael J. Cresenz VA Medical Center, Philadelphia, PA, USA
| | - Amy L Pasternak
- University of Michigan College of Pharmacy, Ann Arbor, MI, USA
| | - Natasha Petry
- North Dakota State University/Sanford Health, Fargo, ND, USA
| | - Laura B Ramsey
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | | | - Sandra M Swain
- MedStar Health, Georgetown University Medical Center, Washington, DC, USA
| | - Kristen M Ward
- University of Michigan College of Pharmacy, Ann Arbor, MI, USA
| | | | - Todd C Skaar
- Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Larisa H Cavallari
- University of Florida Clinical and Translational Science Institute, Gainesville, FL, USA.,University of Florida College of Pharmacy, Gainesville, FL, USA
| | - Sony Tuteja
- University of Pennsylvania Perelman School of Medicine, Smilow Center for Translational Research, 3400 Civic Center Boulevard, Bldg. 421 11th Floor, Room 143, Philadelphia, PA, 19104-5158, USA.
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22
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Formea CM, Schultz AJ, Empey PE. Pharmacists Closing Health Disparity Gaps through Pharmacogenomics. JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2022. [DOI: 10.1002/jac5.1629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Christine M. Formea
- Intermountain Healthcare, Department of Pharmacy Services Salt Lake City Utah
- Intermountain Precision Genomics, Intermountain Healthcare St. George Utah
| | - April J. Schultz
- Sanford Imagenetics, Sanford Health Sioux Falls South Dakota
- Sanford USD School of Medicine University of South Dakota Sioux Falls South Dakota
| | - Philip E. Empey
- School of Pharmacy University of Pittsburgh Pittsburgh Pennsylvania
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23
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Beitelshees AL, Thomas CD, Empey PE, Stouffer GA, Angiolillo DJ, Franchi F, Tuteja S, Limdi NA, Lee JC, Duarte JD, Kreutz RP, Skaar TC, Coons JC, Giri J, McDonough CW, Rowland R, Stevenson JM, Thai T, Vesely MR, Wellen JT, Johnson JA, Winterstein AG, Cavallari LH, Lee CR. CYP2C19 Genotype-Guided Antiplatelet Therapy After Percutaneous Coronary Intervention in Diverse Clinical Settings. J Am Heart Assoc 2022; 11:e024159. [PMID: 35156424 PMCID: PMC9245803 DOI: 10.1161/jaha.121.024159] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Background Studies have demonstrated increased risk of major atherothrombotic events in CYP2C19 loss-of-function (LOF) variant carriers versus non-carriers treated with clopidogrel after percutaneous coronary intervention (PCI). We sought to evaluate real-world outcomes with the clinical implementation of CYP2C19-guided antiplatelet therapy after PCI. Methods and Results Data from 9 medical centers where genotyping was performed in the setting of PCI were included. Alternative therapy with prasugrel or ticagrelor was recommended for patients with a CYP2C19 LOF variant. The primary outcome was the composite of major atherothrombotic events (all-cause death, myocardial infarction, ischemic stroke, stent thrombosis, or hospitalization for unstable angina) within 12 months following PCI. Moderate or severe/life-threatening bleeding within 12 months was a secondary outcome. Among 3342 patients, 1032 (31%) were LOF carriers, of whom 571/1032 (55%) were treated with alternative therapy. In LOF carriers, the rate of major atherothrombotic events was lower in patients treated with alternative therapy versus clopidogrel (adjusted HR, 0.56; 95% CI 0.39-0.82). In those without a LOF allele, no difference was observed (adjusted HR, 1.07; 95% CI 0.71-1.60). There was no difference in bleeding with alternative therapy versus clopidogrel in either LOF carriers or those without a LOF allele. Conclusions Real-world data demonstrate lower atherothrombotic risk in CYP2C19 LOF carriers treated with alternative therapy versus clopidogrel and similar risk in those without a LOF allele treated with clopidogrel or alternative therapy. These data suggest that PCI patients treated with clopidogrel should undergo genotyping so that CYP2C19 LOF carriers can be identified and treated with alternative therapy.
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Affiliation(s)
- Amber L. Beitelshees
- Department of Medicine and Program for Personalized and Genomic MedicineUniversity of Maryland School of MedicineBaltimoreMD
| | - Cameron D. Thomas
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision MedicineUniversity of Florida College of PharmacyGainesvilleFL
| | - Philip E. Empey
- Department of Pharmacy and TherapeuticsUniversity of Pittsburgh School of PharmacyPittsburghPA
| | - George A. Stouffer
- Division of Cardiology and McAllister Heart InstituteUniversity of North Carolina, Chapel HillNC
| | | | - Francesco Franchi
- University of Florida College of Medicine‐JacksonvilleJacksonvilleFL
| | - Sony Tuteja
- University of Pennsylvania Perelman School of MedicinePhiladelphiaPA
| | - Nita A. Limdi
- Department of NeurologyProgram for Translational Pharmacogenomics and Hugh Kaul Personalized Medicine InstituteSchool of MedicineUniversity of Alabama at BirminghamAL
| | - James C. Lee
- Department of Pharmacy PracticeUniversity of Illinois at ChicagoIL
| | - Julio D. Duarte
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision MedicineUniversity of Florida College of PharmacyGainesvilleFL
| | | | | | - James C. Coons
- Department of Pharmacy and TherapeuticsUniversity of Pittsburgh School of PharmacyPittsburghPA
| | - Jay Giri
- Cardiovascular Medicine DivisionUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPA
| | - Caitrin W. McDonough
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision MedicineUniversity of Florida College of PharmacyGainesvilleFL
| | - Rachel Rowland
- Department of Medicine and Program for Personalized and Genomic MedicineUniversity of Maryland School of MedicineBaltimoreMD
| | - James M. Stevenson
- Department of Pharmacy and TherapeuticsUniversity of Pittsburgh School of PharmacyPittsburghPA,Division of Clinical PharmacologyJohns Hopkins University School of MedicineBaltimoreMD
| | - Thuy Thai
- Department of Pharmaceutical Outcomes & Policy and Center for Drug Evaluation and SafetyUniversity of FloridaGainesvilleFL
| | - Mark R. Vesely
- Department of Medicine and Program for Personalized and Genomic MedicineUniversity of Maryland School of MedicineBaltimoreMD
| | - Jacob T. Wellen
- Department of Medicine and Program for Personalized and Genomic MedicineUniversity of Maryland School of MedicineBaltimoreMD
| | - Julie A. Johnson
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision MedicineUniversity of Florida College of PharmacyGainesvilleFL
| | - Almut G. Winterstein
- Department of Pharmaceutical Outcomes & Policy and Center for Drug Evaluation and SafetyUniversity of FloridaGainesvilleFL
| | - Larisa H. Cavallari
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision MedicineUniversity of Florida College of PharmacyGainesvilleFL
| | - Craig R. Lee
- Division of Cardiology and McAllister Heart InstituteUniversity of North Carolina, Chapel HillNC,Division of Pharmacotherapy and Experimental TherapeuticsUNC Eshelman School of PharmacyUniversity of North Carolina at Chapel HillNC
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24
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Hoffecker G, Kanter GP, Xu Y, Matthai W, Kolansky DM, Giri J, Tuteja S. Interventional cardiologists' attitudes towards pharmacogenetic testing and impact on antiplatelet prescribing decisions. Per Med 2021; 19:41-49. [PMID: 34881641 DOI: 10.2217/pme-2021-0088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Aim: To determine if interventional cardiologists' knowledge and attitudes toward pharmacogenetic (PGx) testing influenced their antiplatelet prescribing decisions in response to CYP2C19 results. Materials & methods: Surveys were administered prior to participating in a randomized trial of CYP2C19 testing. Associations between baseline knowledge/attitudes and agreement with the genotype-guided antiplatelet recommendations were determined using multivariable logistic regression. Results: 50% believed that PGx testing would be valuable to predict medication toxicity or efficacy. 64% felt well informed about PGx testing and its therapeutic application. However, PGx experience, knowledge, nor attitudes were significantly associated with agreement to genotype-guided antiplatelet recommendations. Conclusion: Cardiologists' knowledge and attitudes were not associated with CYP2C19-guided antiplatelet prescribing, but larger studies should be done to confirm this finding.
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Affiliation(s)
- Glenda Hoffecker
- Division of Translational Medicine & Human Genetics, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Genevieve P Kanter
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Yao Xu
- Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - William Matthai
- Division of Cardiovascular Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Daniel M Kolansky
- Division of Cardiovascular Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Jay Giri
- Division of Cardiovascular Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.,Penn Cardiovascular Outcomes, Quality, & EvaluativeResearch Center, Leonard Davis Institute of Health Economics, University ofPennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Sony Tuteja
- Division of Translational Medicine & Human Genetics, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
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25
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Ho TT, Gift M, Alexander E. Prioritizing pharmacogenomics implementation initiates: a survey of healthcare professionals. Per Med 2021; 19:15-23. [PMID: 34881640 DOI: 10.2217/pme-2021-0061] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Aim: Characterize current perceptions, practices, preferences and barriers to integrating pharmacogenomics into patient care at an institution with an established pharmacogenomics clinic. Materials & methods: A 16-item anonymous survey was sent to healthcare professionals practicing at Tampa General Hospital and the University of South Florida Health. Results: Survey participants consisted of nine advanced practice providers, 41 pharmacists and 64 physicians. Majority of survey participants did not feel confident in their ability to interpret and apply pharmacogenomic results. In the past 12 months, 27% of physicians reported ordering a pharmacogenomic test. The greatest reported barrier to integrating pharmacogenomics was the absence of established guidelines or protocols. Conclusion: Most clinicians believed pharmacogenomics would be useful in their clinical practice but do not feel prepared to interpret pharmacogenomic results.
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Affiliation(s)
- Teresa T Ho
- Department of Pharmacotherapeutics & Clinical Research, University of South Florida Taneja College of Pharmacy, Tampa, FL 33612, USA.,Department of Internal Medicine, University of South Florida Morsani College of Medicine, Tampa, FL 33612, USA
| | - Maja Gift
- Department of Pharmacy Services, Tampa General Hospital, Tampa, FL 33601, USA
| | - Earnest Alexander
- Department of Pharmacy Services, Tampa General Hospital, Tampa, FL 33601, USA
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26
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Gammal RS, Berenbrok LA, Empey PE, Massart MB. Documenting Pharmacogenomic Test Results in Electronic Health Records: Practical Considerations for Primary Care Teams. J Pers Med 2021; 11:jpm11121296. [PMID: 34945768 PMCID: PMC8706275 DOI: 10.3390/jpm11121296] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 11/26/2021] [Accepted: 11/29/2021] [Indexed: 12/21/2022] Open
Abstract
With increasing patient interest in and access to pharmacogenomic testing, clinicians practicing in primary care are more likely than ever to encounter a patient seeking or presenting with pharmacogenomic test results. Gene-based prescribing recommendations are available to healthcare providers through Food and Drug Administration-approved drug labeling and Clinical Pharmacogenetics Implementation Consortium guidelines. Given the lifelong utility of pharmacogenomic test results to optimize pharmacotherapy for commonly prescribed medications, appropriate documentation of these results in a patient’s electronic health record (EHR) is essential. The current “gold standard” for pharmacogenomics implementation includes entering pharmacogenomic test results into EHRs as discrete results with associated clinical decision support (CDS) alerts that will fire at the point of prescribing, similar to drug allergy alerts. However, such infrastructure is limited to the few institutions that have invested in the resources and personnel to develop and maintain it. For the majority of clinicians who do not practice at an institution with a dedicated clinical pharmacogenomics team and integrated pharmacogenomics CDS in the EHR, this report provides practical tips for documenting pharmacogenomic test results in the problem list and allergy field to maximize the visibility and utility of results over time, especially when such results could prevent the occurrence of serious adverse drug reactions or predict therapeutic failure.
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Affiliation(s)
- Roseann S. Gammal
- Department of Pharmacy Practice, Massachusetts College of Pharmacy and Health Sciences, Boston, MA 02115, USA;
| | - Lucas A. Berenbrok
- Department of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, Pittsburgh, PA 15261, USA; (L.A.B.); (P.E.E.)
| | - Philip E. Empey
- Department of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, Pittsburgh, PA 15261, USA; (L.A.B.); (P.E.E.)
| | - Mylynda B. Massart
- Department of Family Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
- Correspondence: ; Tel.: +1-503-939-7261
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27
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Matura JM, Shea LA, Bankes VA. Dietary supplements, cytochrome metabolism, and pharmacogenetic considerations. Ir J Med Sci 2021; 191:2357-2365. [PMID: 34734388 DOI: 10.1007/s11845-021-02828-4] [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: 12/03/2020] [Accepted: 10/21/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND Dietary supplement use has continued to rise. In addition to supplement-drug interactions, it is prudent to consider how dietary supplements may interact with a patient's specific pharmacogenetics. Variations in genes associated with CYP 450 enzymes have evidence of impacting drug metabolism and adverse effects. AIMS This research was performed to evaluate CYP P450 enzyme activity of the top 15 dietary supplements used in the USA in order to initiate pharmacogenetic considerations specific to commonly used dietary supplements. METHODS The most common dietary supplements used in the USA were obtained from the National Health and Nutrition Examination Survey (NHANES). Primary literature detailing supplement CYP P450 activity was compiled from PubMed using MeSH search terms: supplement name(s), cytochrome P450 enzymes, metabolism, and pharmacokinetics. Additional resources utilized for documented CYP enzyme genotypes were the pharmacogenetic databases from Clinical Pharmacogenetics Implementation Consortium and The Pharmacogenomic Variation Consortium. RESULTS Of the 15 most common dietary supplements used in the USA, 53% (cranberry, echinacea, garlic, ginkgo biloba, ginseng, melatonin, milk thistle, and valerian) exhibit CYP P450 metabolism, with some having possible induction activity as well. Melatonin and garlic are substrates of CYP1A2 and CYP2C19, respectively. Additionally, there is evidence of echinacea having possible CYP3A4 induction activity. CONCLUSION CYP P450 activity is an important consideration for any patient but becomes increasingly critical if patients have certain CYP P450 phenotypes that impact metabolism. These popular supplements have the potential for changes in supplement exposure, and adverse effects based on pharmacogenetic profiles. Furthermore, these sites of metabolism are shared with many medications, setting the stage for possibly more profound interactions between medications and supplements. This paper highlights the mechanisms in which dietary supplements may constitute a risk for patients with certain CYP P450 phenotypes. Further research is needed in the area of dietary supplements and their pharmacogenomic implications.
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Affiliation(s)
- Janelle M Matura
- School of Pharmacy, Regis University, 3333 Regis Blvd, Denver, CO, H-28, USA
| | - Leticia A Shea
- School of Pharmacy, Regis University, 3333 Regis Blvd, Denver, CO, H-28, USA.
| | - Victoria A Bankes
- School of Pharmacy, Regis University, 3333 Regis Blvd, Denver, CO, H-28, USA
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28
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Tuteja S, Salloum RG, Elchynski AL, Smith DM, Rowe E, Blake KV, Limdi NA, Aquilante CL, Bates J, Beitelshees AL, Cipriani A, Duong BQ, Empey PE, Formea CM, Hicks JK, Mroz P, Oslin D, Pasternak AL, Petry N, Ramsey LB, Schlichte A, Swain SM, Ward KM, Wiisanen K, Skaar TC, Van Driest SL, Cavallari LH, Bishop JR. Multisite evaluation of institutional processes and implementation determinants for pharmacogenetic testing to guide antidepressant therapy. Clin Transl Sci 2021; 15:371-383. [PMID: 34562070 PMCID: PMC8841452 DOI: 10.1111/cts.13154] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 08/11/2021] [Accepted: 08/16/2021] [Indexed: 12/11/2022] Open
Abstract
There is growing interest in utilizing pharmacogenetic (PGx) testing to guide antidepressant use, but there is lack of clarity on how to implement testing into clinical practice. We administered two surveys at 17 sites that had implemented or were in the process of implementing PGx testing for antidepressants. Survey 1 collected data on the process and logistics of testing. Survey 2 asked sites to rank the importance of Consolidated Framework for Implementation Research (CFIR) constructs using best‐worst scaling choice experiments. Of the 17 sites, 13 had implemented testing and four were in the planning stage. Thirteen offered testing in the outpatient setting, and nine in both outpatient/inpatient settings. PGx tests were mainly ordered by psychiatry (92%) and primary care (69%) providers. CYP2C19 and CYP2D6 were the most commonly tested genes. The justification for antidepressants selected for PGx guidance was based on Clinical Pharmacogenetics Implementation Consortium guidelines (94%) and US Food and Drug Administration (FDA; 75.6%) guidance. Both institutional (53%) and commercial laboratories (53%) were used for testing. Sites varied on the methods for returning results to providers and patients. Sites were consistent in ranking CFIR constructs and identified patient needs/resources, leadership engagement, intervention knowledge/beliefs, evidence strength and quality, and the identification of champions as most important for implementation. Sites deployed similar implementation strategies and measured similar outcomes. The process of implementing PGx testing to guide antidepressant therapy varied across sites, but key drivers for successful implementation were similar and may help guide other institutions interested in providing PGx‐guided pharmacotherapy for antidepressant management.
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Affiliation(s)
- Sony Tuteja
- University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Ramzi G Salloum
- University of Florida College of Medicine, Gainesville, Florida, USA
| | | | - D Max Smith
- MedStar Health, Georgetown University Medical Center, Washington, DC, USA
| | - Elizabeth Rowe
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | | | - Nita A Limdi
- University of Alabama School of Medicine, Birmingham, Alabama, USA
| | | | - Jill Bates
- Durham VA Healthcare System, Durham, North Carolina, USA
| | | | - Amber Cipriani
- University of North Carolina Medical Center, Chapel Hill, North Carolina, USA
| | | | - Philip E Empey
- University of Pittsburgh School of Pharmacy, Pittsburgh, Pennsylvania, USA
| | | | | | - Pawel Mroz
- University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - David Oslin
- University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.,Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA
| | - Amy L Pasternak
- University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA
| | - Natasha Petry
- North Dakota State University/Sanford Health, Fargo, North Dakota, USA
| | - Laura B Ramsey
- Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | | | - Sandra M Swain
- MedStar Health, Georgetown University Medical Center, Washington, DC, USA
| | - Kristen M Ward
- University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA
| | - Kristin Wiisanen
- University of Florida College of Pharmacy, Gainesville, Florida, USA
| | - Todd C Skaar
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | | | | | - Jeffrey R Bishop
- University of Minnesota Medical School, Minneapolis, Minnesota, USA.,University of Minnesota College of Pharmacy, Minneapolis, Minnesota, USA
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29
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Abstract
Over the past decade, pharmacogenetic testing has emerged in clinical practice to guide selected cardiovascular therapies. The most common implementation in practice is CYP2C19 genotyping to predict clopidogrel response and assist in selecting antiplatelet therapy after percutaneous coronary intervention. Additional examples include genotyping to guide warfarin dosing and statin prescribing. Increasing evidence exists on outcomes with genotype-guided cardiovascular therapies from multiple randomized controlled trials and observational studies. Pharmacogenetic evidence is accumulating for additional cardiovascular medications. However, data for many of these medications are not yet sufficient to support the use of genotyping for drug prescribing. Ultimately, pharmacogenetics might provide a means to individualize drug regimens for complex diseases such as heart failure, in which the treatment armamentarium includes a growing list of medications shown to reduce morbidity and mortality. However, sophisticated analytical approaches are likely to be necessary to dissect the genetic underpinnings of responses to drug combinations. In this Review, we examine the evidence supporting pharmacogenetic testing in cardiovascular medicine, including that available from several clinical trials. In addition, we describe guidelines that support the use of cardiovascular pharmacogenetics, provide examples of clinical implementation of genotype-guided cardiovascular therapies and discuss opportunities for future growth of the field.
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30
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Grace C, Larriva MM, Steiner HE, Marupuru S, Campbell PJ, Patterson H, Cropp CD, Quinn D, Klimecki W, Nix DE, Warholak T, Karnes JH. Efficacy of personal pharmacogenomic testing as an educational tool in the pharmacy curriculum: A nonblinded, randomized controlled trial. Clin Transl Sci 2021; 14:2532-2543. [PMID: 34431601 PMCID: PMC8604226 DOI: 10.1111/cts.13121] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 06/21/2021] [Accepted: 06/29/2021] [Indexed: 11/11/2022] Open
Abstract
Personal genomic educational testing (PGET) has been suggested as a strategy to improve student learning for pharmacogenomics (PGx), but no randomized studies have evaluated PGET’s educational benefit. We investigated the effect of PGET on student knowledge, comfort, and attitudes related to PGx in a nonblinded, randomized controlled trial. Consenting participants were randomized to receive PGET or no PGET (NPGET) during 4 subsequent years of a PGx course. All participants completed a pre‐survey and post‐survey designed to assess (1) PGx knowledge, (2) comfort with PGx patient education and clinical skills, and (3) attitudes toward PGx. Instructors were blinded to PGET assignment. The Wilcoxon Rank Sum test was used to compare pre‐survey and post‐survey PGx knowledge, comfort, and attitudes. No differences in baseline characteristics were observed between PGET (n = 117) and NPGET (n = 116) participants. Among all participants, significant improvement was observed in PGx knowledge (mean 57% vs. 39% correct responses; p < 0.001) with similar results for student comfort and attitudes. Change in pre/post‐PGx knowledge, comfort, and attitudes were not significantly different between PGET and NPGET groups (mean 19.5% vs. 16.7% knowledge improvement, respectively; p = 0.41). Similar results were observed for PGET participants carrying a highly actionable PGx variant versus PGET participants without an actionable variant. Significant improvement in Likert scale responses were observed in PGET versus NPGET for questions that assessed student engagement (p = 0.020) and reinforcement of course concepts (p = 0.006). Although some evidence of improved engagement and participation was observed, the results of this study suggest that PGET does not directly improve student PGx knowledge, comfort, and attitudes.
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Affiliation(s)
- Chloe Grace
- Department of Pharmacy Practice and Science, University of Arizona College of Pharmacy, Tucson, Arizona, USA
| | - Marti M Larriva
- Department of Pharmacy Practice and Science, University of Arizona College of Pharmacy, Tucson, Arizona, USA.,Arizona Oncology, Tucson, Arizona, USA
| | - Heidi E Steiner
- Department of Pharmacy Practice and Science, University of Arizona College of Pharmacy, Tucson, Arizona, USA
| | - Srujitha Marupuru
- Department of Pharmacy Practice and Science, University of Arizona College of Pharmacy, Tucson, Arizona, USA
| | - Patrick J Campbell
- Department of Pharmacy Practice and Science, University of Arizona College of Pharmacy, Tucson, Arizona, USA
| | - Hayley Patterson
- Department of Pharmacy Practice and Science, University of Arizona College of Pharmacy, Tucson, Arizona, USA
| | - Cheryl D Cropp
- Department of Pharmaceutical, Social and Administrative Sciences, Samford University McWhorter School of Pharmacy, Birmingham, Alabama, USA
| | - Dorothy Quinn
- Department of Pharmacy Practice and Science, University of Arizona College of Pharmacy, Tucson, Arizona, USA.,Department of Obstetrics and Gynecology, University of Arizona College of Medicine-Tucson, Tucson, Arizona, USA
| | - Walter Klimecki
- College of Veterinary Medicine, University of Arizona, Tucson, Arizona, USA.,Department of Pharmacology and Toxicology, University of Arizona College of Pharmacy, Tucson, Arizona, USA
| | - David E Nix
- Department of Pharmacy Practice and Science, University of Arizona College of Pharmacy, Tucson, Arizona, USA
| | - Terri Warholak
- Department of Pharmacy Practice and Science, University of Arizona College of Pharmacy, Tucson, Arizona, USA
| | - Jason H Karnes
- Department of Pharmacy Practice and Science, University of Arizona College of Pharmacy, Tucson, Arizona, USA.,Department of Pharmacology and Toxicology, University of Arizona College of Pharmacy, Tucson, Arizona, USA.,Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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31
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Hayashi M, Hamdy DA, Mahmoud SH. Applications for pharmacogenomics in pharmacy practice: A scoping review. Res Social Adm Pharm 2021; 18:3094-3118. [PMID: 34474980 DOI: 10.1016/j.sapharm.2021.08.009] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 07/19/2021] [Accepted: 08/18/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND Pharmacogenomics (PGx) can provide valuable pharmacokinetic and pharmacodynamic information for the pharmacist's assessment of drug therapy, especially within medication therapy management (MTM) services. However, no review has comprehensively mapped the pharmacists' use of PGx in practice-based research. Doing so would allow future researchers, practitioners, and policy-makers to identify the ideal populations and settings for PGx implementation within the pharmacy. OBJECTIVE The purpose of this review is to identify the evidence to date of PGx use in pharmacy practice. METHODS A scoping review was conducted to find all studied non-oncologic pharmacy practices incorporating PGx testing. Search terms were applied to 5 databases and relevant journals. Characteristics of patients, pharmacy settings, genetic tests, and outcomes were summarized to determine models most likely to benefit patients. RESULTS The search identified 43 studies on the use of PGx by pharmacists published between 2007 and 2020. CYP2C19 testing with antiplatelets was the most studied model, found in both community and institutional settings. It also was the most actionable test: approximately 30% of patients have polymorphisms indicating a need for alternative antiplatelets, and identifying these patients can reduce morbidity and mortality by more than 50%. As technology shifts, broader studies using multi-gene panel tests within MTM demonstrate an approximate 50% decrease in emergency visits and hospitalizations in elderly polypharmacy patients. Clinical benefit or drug-gene interactions are also found in other cardiovascular, psychiatric, analgesic, and gastrointestinal indications. No evaluations of actual costs or of pharmacist prescribing within pharmacy-based PGx have been performed. Facilitators towards successful PGx implementation included pharmacist education, collaboration with other healthcare providers, and the use of clinical decision software. CONCLUSIONS Pharmacogenomic testing has demonstrated feasibility and improved medication outcomes in pharmacy practice, including in the community pharmacy. Further PGx research should be directed towards pharmacist prescribing, pharmacist education, and pharmacoeconomics.
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Affiliation(s)
- Meagan Hayashi
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada.
| | - Dalia A Hamdy
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada; AbEx Health Services LTD, Fort Saskatchewan, Alberta, Canada.
| | - Sherif Hanafy Mahmoud
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta, Canada.
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32
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Wake DT, Smith DM, Kazi S, Dunnenberger HM. Pharmacogenomic Clinical Decision Support: A Review, How-to Guide, and Future Vision. Clin Pharmacol Ther 2021; 112:44-57. [PMID: 34365648 PMCID: PMC9291515 DOI: 10.1002/cpt.2387] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 07/28/2021] [Indexed: 02/06/2023]
Abstract
Clinical decision support (CDS) is an essential part of any pharmacogenomics (PGx) implementation. Increasingly, institutions have implemented CDS tools in the clinical setting to bring PGx data into patient care, and several have published their experiences with these implementations. However, barriers remain that limit the ability of some programs to create CDS tools to fit their PGx needs. Therefore, the purpose of this review is to summarize the types, functions, and limitations of PGx CDS currently in practice. Then, we provide an approachable step‐by‐step how‐to guide with a case example to help implementers bring PGx to the front lines of care regardless of their setting. Particular focus is paid to the five “rights” of CDS as a core around designing PGx CDS tools. Finally, we conclude with a discussion of opportunities and areas of growth for PGx CDS.
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Affiliation(s)
- Dyson T Wake
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA
| | - D Max Smith
- MedStar Health, Columbia, Maryland, USA.,Georgetown University Medical Center, Washington, DC, USA
| | - Sadaf Kazi
- Georgetown University Medical Center, Washington, DC, USA.,National Center for Human Factors in Healthcare, MedStar Health Research Institute Washington, Washington, DC, USA
| | - Henry M Dunnenberger
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA
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33
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Mshelbwala FS, Hugenberg DW, Kreutz RP. Intensified P2Y12 inhibition for high-on treatment platelet reactivity. J Thromb Thrombolysis 2021; 50:619-627. [PMID: 32152791 DOI: 10.1007/s11239-020-02075-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
High on treatment platelet reactivity (HPR) during treatment with clopidogrel has been consistently found to be strong risk factor for recurrent ischemic events after percutaneous coronary intervention (PCI). Insufficient P2Y12 receptor inhibition contributes to HPR measured by the VerifyNow (VN) assay. Prasugrel and ticagrelor are more potent P2Y12 inhibitors than clopidogrel and commonly substituted for clopidogrel when HPR is documented, however benefit of VN guided intensified antiplatelet therapy is uncertain. We identified patients who had undergone platelet reactivity testing after PCI with VN after pretreatment with clopidogrel (n = 252) in a single center observational analysis. Patients who had HPR defined as PRU > 208 were switched to alternate P2Y12 inhibitors. Primary clinical endpoint was 1-year post PCI combined cardiovascular death, myocardial infarction (MI), and stent thrombosis. One hundred and eight (43%) subjects had HPR and were switched to prasugrel (n = 60) and ticagrelor (n = 48). Risk of recurrent 1-year primary endpoint remained higher for HPR patients switched to either ticagrelor or prasugrel as compared to subjects who had low on treatment platelet reactivity (n = 144) (LPR) on clopidogrel [Hazard Ratio: 3.5 (95% CI 1.1-11.1); p = 0.036)]. Propensity score matched analysis demonstrated higher event rates in patients with HPR on alternate P2Y12 inhibitor as compared to patients with LPR (log-rank: p = 0.044). The increased risk of recurrent events associated with HPR measured by VN is not completely attenuated by switching to more potent P2Y12 inhibitors. Non-P2Y12 mediated pathways likely contribute to increased incidence of thrombotic events after PCI in subjects with HPR.
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Affiliation(s)
- Fakilahyel S Mshelbwala
- Department of Medicine, Krannert Institute of Cardiology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Daniel W Hugenberg
- Department of Medicine, Krannert Institute of Cardiology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Rolf P Kreutz
- Department of Medicine, Krannert Institute of Cardiology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
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34
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Galli M, Franchi F, Rollini F, Cavallari LH, Capodanno D, Crea F, Angiolillo DJ. Genetic testing in patients undergoing percutaneous coronary intervention: rationale, evidence and practical recommendations. Expert Rev Clin Pharmacol 2021; 14:963-978. [PMID: 33993817 PMCID: PMC9008593 DOI: 10.1080/17512433.2021.1927709] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 05/06/2021] [Indexed: 12/22/2022]
Abstract
INTRODUCTION Clopidogrel is the most frequently utilized P2Y12 inhibitor and is characterized by broad interindividual response variability resulting in impaired platelet inhibition and increased risk of thrombotic complications in a considerable number of patients. The potent P2Y12 inhibitors, prasugrel and ticagrelor, can overcome this limitation but at the expense of an increased risk of bleeding. Genetic variations of the cytochrome P450 (CYP) 2 C19 enzyme, a key determinant in clopidogrel metabolism, have been strongly associated with clopidogrel response profiles prompting investigations of genetic-guided selection of antiplatelet therapy. AREAS COVERED The present manuscript focuses on the rationale for the use of genetic testing to guide the selection of platelet P2Y12 inhibitors among patients undergoing percutaneous coronary intervention (PCI). Moreover, a comprehensive appraisal of the available evidence and practical recommendations is provided. EXPERT COMMENTARY Implementation of genetic testing as a strategy to guide the selection of therapy can result in escalation (i.e. switching to prasugrel or ticagrelor) or de-escalation (i.e. switching to clopidogrel) of P2Y12 inhibiting therapy. Most recent investigations support the clinical benefit of a genetic guided selection of antiplatelet therapy in patients undergo PCI. Integrating the results of genetic testing with clinical and procedural variables represents a promising strategy for a precision medicine approach for the selection of antiplatelet therapy among patients undergoing PCI.
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Affiliation(s)
- Mattia Galli
- Department of Cardiovascular and Thoracic Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Catholic University of the Sacred Heart, Rome, Italy
- Division of Cardiology, University of Florida College of Medicine, Jacksonville, Florida, United States
| | - Francesco Franchi
- Division of Cardiology, University of Florida College of Medicine, Jacksonville, Florida, United States
| | - Fabiana Rollini
- Division of Cardiology, University of Florida College of Medicine, Jacksonville, Florida, United States
| | - Larisa H Cavallari
- Department of Pharmacotherapy & Translational Research, Center for Pharmacogenomics & Precision Medicine, University of Florida, Gainesville, FL, USA
| | - Davide Capodanno
- Division of Cardiology, A.O.U. Policlinico "G. Rodolico-San Marco", University of Catania, Catania, Italy
| | - Filippo Crea
- Department of Cardiovascular and Thoracic Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Catholic University of the Sacred Heart, Rome, Italy
| | - Dominick J Angiolillo
- Division of Cardiology, University of Florida College of Medicine, Jacksonville, Florida, United States
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35
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Wood B, Lee CR, Mulrenin IR, Gower MN, Rossi JS, Weck KE, Stouffer GA. Effects of aging on clinical outcomes in patients receiving genotype-guided P2Y12 inhibitor selection after percutaneous coronary intervention. Pharmacotherapy 2021; 41:970-977. [PMID: 34242414 DOI: 10.1002/phar.2611] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 06/11/2021] [Accepted: 06/24/2021] [Indexed: 11/08/2022]
Abstract
STUDY OBJECTIVE To compare the clinical effectiveness of genotype-guided P2Y12 inhibitor selection following PCI in older patients (≥70 years) and younger patients (<70 years). DESIGN AND SETTING Single-center, retrospective, cohort study. Risk of major adverse cardiovascular or cerebrovascular events (MACCE), defined as stent thrombosis, ischemic stroke, transient ischemic attack, non-fatal acute coronary syndrome, or cardiovascular death during 12 months after PCI, was compared across genotype and antiplatelet therapy groups by proportional hazards regression in patients ≥70 years and <70 years. PATIENTS 1,469 patients who underwent PCI and had CYP2C19 genotype testing at a single academic medical center. MEASUREMENTS AND MAIN RESULTS The study population was comprised of 402 (27.4%) ≥70 years (older group) and 1067 (72.6%) <70 years (younger group). Alternative P2Y12 inhibitors (prasugrel or ticagrelor) were used less often in the older group than the younger group in patients with a CYP2C19 no function allele (55% vs. 67%; p = 0.02) and in patients without a no function allele (10% vs. 35%, p < 0.001). For patients treated with clopidogrel, MACCE was significantly higher in no function allele carriers compared to those without a no function allele in the older group (19.2% vs. 12.7%; adjusted HR 2.32; 95% CI 1.07-5.05; p = 0.03) and the younger group (17.4% vs. 10.4%; adjusted HR 2.01; 95% CI 1.17-3.46; p = 0.01). In patients without a no function allele, MACCE risk was similar with clopidogrel compared to prasugrel or ticagrelor in the older group (adjusted HR 0.99; 95% CI 0.44-2.21; p = 0.98) and the younger group (adjusted HR 1.12; 95% CI 0.72-1.74; p = 0.61). CONCLUSION This study suggests important clinical benefits of CYP2C19 genotype-guided antiplatelet therapy after PCI in both younger and older patients.
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Affiliation(s)
- Brian Wood
- Division of Cardiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Craig R Lee
- Division of Cardiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,McAllister Heart Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Ian R Mulrenin
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Megan N Gower
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Joseph S Rossi
- Division of Cardiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Karen E Weck
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - George A Stouffer
- Division of Cardiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,McAllister Heart Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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36
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McDonough CW. Pharmacogenomics in Cardiovascular Diseases. Curr Protoc 2021; 1:e189. [PMID: 34232575 DOI: 10.1002/cpz1.189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Cardiovascular pharmacogenomics is the study and identification of genomic markers that are associated with variability in cardiovascular drug response, cardiovascular drug-related outcomes, or cardiovascular drug-related adverse events. This overview presents an introduction and historical background to cardiovascular pharmacogenomics, and a protocol for designing a cardiovascular pharmacogenomics study. Important considerations are also included for constructing a cardiovascular pharmacogenomics phenotype, designing the replication or validation strategy, common statistical approaches, and how to put the results in context with the cardiovascular drug or cardiovascular disease under investigation. © 2021 Wiley Periodicals LLC. Basic Protocol: Designing a cardiovascular pharmacogenomics study.
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Affiliation(s)
- Caitrin W McDonough
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, Florida
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37
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Hicks JK, El Rouby N, Ong HH, Schildcrout JS, Ramsey LB, Shi Y, Tang LA, Aquilante CL, Beitelshees AL, Blake KV, Cimino JJ, Davis BH, Empey PE, Kao DP, Lemkin DL, Limdi NA, Lipori GP, Rosenman MB, Skaar TC, Teal E, Tuteja S, Wiley LK, Williams H, Winterstein AG, Van Driest SL, Cavallari LH, Peterson JF. Opportunity for Genotype-Guided Prescribing Among Adult Patients in 11 US Health Systems. Clin Pharmacol Ther 2021; 110:179-188. [PMID: 33428770 PMCID: PMC8217370 DOI: 10.1002/cpt.2161] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 12/24/2020] [Indexed: 12/11/2022]
Abstract
The value of utilizing a multigene pharmacogenetic panel to tailor pharmacotherapy is contingent on the prevalence of prescribed medications with an actionable pharmacogenetic association. The Clinical Pharmacogenetics Implementation Consortium (CPIC) has categorized over 35 gene-drug pairs as "level A," for which there is sufficiently strong evidence to recommend that genetic information be used to guide drug prescribing. The opportunity to use genetic information to tailor pharmacotherapy among adult patients was determined by elucidating the exposure to CPIC level A drugs among 11 Implementing Genomics In Practice Network (IGNITE)-affiliated health systems across the US. Inpatient and/or outpatient electronic-prescribing data were collected between January 1, 2011 and December 31, 2016 for patients ≥ 18 years of age who had at least one medical encounter that was eligible for drug prescribing in a calendar year. A median of ~ 7.2 million adult patients was available for assessment of drug prescribing per year. From 2011 to 2016, the annual estimated prevalence of exposure to at least one CPIC level A drug prescribed to unique patients ranged between 15,719 (95% confidence interval (CI): 15,658-15,781) in 2011 to 17,335 (CI: 17,283-17,386) in 2016 per 100,000 patients. The estimated annual exposure to at least 2 drugs was above 7,200 per 100,000 patients in most years of the study, reaching an apex of 7,660 (CI: 7,632-7,687) per 100,000 patients in 2014. An estimated 4,748 per 100,000 prescribing events were potentially eligible for a genotype-guided intervention. Results from this study show that a significant portion of adults treated at medical institutions across the United States is exposed to medications for which genetic information, if available, should be used to guide prescribing.
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Affiliation(s)
- J. Kevin Hicks
- Department of Individualized Cancer Management, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Nihal El Rouby
- Department of Pharmacotherapy & Translational Research, University of Florida, Gainesville, FL
- James Winkle College of Pharmacy, University of Cincinnati, Cincinnati, OH
| | - Henry H. Ong
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN
| | | | - Laura B. Ramsey
- Department of Pediatrics, College of Medicine, University of Cincinnati, Divisions of Research in Patient Services and Clinical Pharmacology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Yaping Shi
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN
| | - Leigh Anne Tang
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
| | - Christina L. Aquilante
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora, CO
| | | | | | - James J. Cimino
- Informatics Institute, University of Alabama at Birmingham, Birmingham, AL
| | - Brittney H. Davis
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL
| | - Philip E. Empey
- Department of Pharmacy & Therapeutics, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA
| | - David P. Kao
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | | | - Nita A. Limdi
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL
| | - Gloria P. Lipori
- University of Florida Health and University of Florida Health Sciences Center, Gainesville, FL
| | - Marc B. Rosenman
- Indiana University School of Medicine, Indianapolis, IN
- Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL
| | - Todd C. Skaar
- Indiana University School of Medicine, Indianapolis, IN
| | | | - Sony Tuteja
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Laura K. Wiley
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | | | - Almut G. Winterstein
- Department of Pharmaceutical Outcomes & Policy, University of Florida, Gainesville, FL
| | - Sara L. Van Driest
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Larisa H. Cavallari
- Department of Pharmacotherapy & Translational Research, University of Florida, Gainesville, FL
| | - Josh F. Peterson
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
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38
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Packiasabapathy S, Aruldhas BW, Zhang P, Overholser BR, Quinney SK, Sadhasivam S. Novel associations between CYP2B6 polymorphisms, perioperative methadone metabolism and clinical outcomes in children. Pharmacogenomics 2021; 22:591-602. [PMID: 34100292 PMCID: PMC8238023 DOI: 10.2217/pgs-2021-0039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: Methadone exhibits significant variability in clinical response. This study explores the genetic influence of variable methadone pharmacokinetics. Methods: This is a prospective study of methadone in children undergoing major surgery. CYP2B6 genotyping, plasma methadone and metabolite levels were obtained. Clinical outcomes include pain scores and postoperative nausea and vomiting (PONV). Results: CYP2B6 poor metabolizers (*6/*6) had >twofold lower methadone metabolism compared with normal/rapid metabolizers. The incidence of PONV was 4.7× greater with CYP2B6 rs1038376 variant. AG/GG variants of rs2279343 SNP had 2.86-fold higher incidence of PONV compared with the wild variant (AA). Nominal associations between rs10500282, rs11882424, rs4803419 and pain scores were observed. Conclusion: We have described novel associations between CYP2B6 genetic variants and perioperative methadone metabolism, and associations with pain scores and PONV.
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Affiliation(s)
- Senthil Packiasabapathy
- Department of Anesthesia, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Blessed W Aruldhas
- Department of Anesthesia, Indiana University School of Medicine, Indianapolis, IN 46202, USA.,Department of Medicine, Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, IN 46202, USA.,Department of Pharmacology & Clinical Pharmacology, Christian Medical College, Vellore, 632 004, India
| | - Pengyue Zhang
- Department of Biostatistics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Brian R Overholser
- Department of Medicine, Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, IN 46202, USA.,Department of Pharmacy Practice, Purdue University College of Pharmacy, Indianapolis, IN 46202, USA
| | - Sara K Quinney
- Department of Medicine, Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, IN 46202, USA.,Department of Obstetrics & Gynecology, Indiana University School of Medicine, Indianapolis, IN 46202, USA.,Center for Computational Biology & Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Senthilkumar Sadhasivam
- Department of Anesthesia, Indiana University School of Medicine, Indianapolis, IN 46202, USA
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39
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Kisor DF, Petry NJ, Bright DR. Pharmacogenomics in the United States Community Pharmacy Setting: The Clopidogrel- CYP2C19 Example. Pharmgenomics Pers Med 2021; 14:569-577. [PMID: 34040417 PMCID: PMC8140945 DOI: 10.2147/pgpm.s224894] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Accepted: 04/26/2021] [Indexed: 12/20/2022] Open
Abstract
Pharmacogenomics (PGx) is expanding across health-care practice settings, including the community pharmacy. In the United States, models of implementation of PGx in the community pharmacy have described independent services and those layered on to medication therapy management. The drug-gene pair of clopidogrel-CYP2C19 has been a focus of implementation of PGx in community pharmacy and serves as an example of the evolution of the application of drug-gene interaction information to help optimize drug therapy. Expanded information related to this drug-gene pair has been provided by the US Food and Drug Administration and clinical PGx guidelines have and continue to be updated to support clinical decision-making. Most recently direct-to-consumer (DTC) PGx has resulted in patient generated sample collection and submission to a genetic testing-related company for analysis, with reporting of genotype and related phenotype information directly to the patient without a health-care professional guiding or even being involved in the process. The DTC testing approach needs to be considered in the development or modification of PGx service models in the community pharmacy setting. The example of clopidogrel-CYP2C19 is discussed and current models of PGx implementation in the community pharmacy in the United States are presented. New approaches to PGx services are offered as implementation continues to evolve and may now include DTC information.
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Affiliation(s)
- David F Kisor
- Manchester University, Department of Pharmaceutical Sciences and Pharmacogenomics, Fort Wayne, IN, USA
| | - Natasha J Petry
- North Dakota State University, College of Health Professions, Department of Pharmacy Practice, Fargo, ND, USA
- Sanford Imagenetics, Sioux Falls, ND, USA
| | - David R Bright
- Ferris State University, Department of Pharmaceutical Sciences, Big Rapids, MI, USA
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40
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Luczak T, Brown SJ, Armbruster D, Hundertmark M, Brown J, Stenehjem D. Strategies and settings of clinical pharmacogenetic implementation: a scoping review of pharmacogenetics programs. Pharmacogenomics 2021; 22:345-364. [PMID: 33829852 DOI: 10.2217/pgs-2020-0181] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Pharmacogenetic (PGx) literature has shown beneficial outcomes in safety, efficacy and cost when evidence-based gene-drug decision making is incorporated into clinical practice. PGx programs with successfully implemented clinical services have been published in a variety of settings including academic health centers and community practice. The primary objective was to systematically scope the literature to characterize the current trends, extent, range and nature of clinical PGx programs. Forty articles representing 19 clinical PGx programs were included in analysis. Most programs are in urban, academic institutions. Education, governance and workflow were commonly described while billing/reimbursement and consent were not. This review provides an overview of current PGx models that can be used as a reference for institutions beginning the implementation process.
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Affiliation(s)
- Tiana Luczak
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota, College of Pharmacy, Duluth, MN 55812, USA.,Essentia Health, Duluth, MN 55805, USA
| | - Sarah Jane Brown
- Health Sciences Libraries, University of Minnesota, MN 55455, USA
| | - Danielle Armbruster
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota, College of Pharmacy, Duluth, MN 55812, USA
| | - Megan Hundertmark
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota, College of Pharmacy, Duluth, MN 55812, USA
| | - Jacob Brown
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota, College of Pharmacy, Duluth, MN 55812, USA
| | - David Stenehjem
- Department of Pharmacy Practice & Pharmaceutical Sciences, University of Minnesota, College of Pharmacy, Duluth, MN 55812, USA
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41
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Magavern EF, Kaski JC, Turner RM, Janmohamed A, Borry P, Pirmohamed M. The Interface of Therapeutics and Genomics in Cardiovascular Medicine. Cardiovasc Drugs Ther 2021; 35:663-676. [PMID: 33528719 PMCID: PMC7851637 DOI: 10.1007/s10557-021-07149-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/19/2021] [Indexed: 01/31/2023]
Abstract
Pharmacogenomics has a burgeoning role in cardiovascular medicine, from warfarin dosing to antiplatelet choice, with recent developments in sequencing bringing the promise of personalised medicine ever closer to the bedside. Further scientific evidence, real-world clinical trials, and economic modelling are needed to fully realise this potential. Additionally, tools such as polygenic risk scores, and results from Mendelian randomisation analyses, are only in the early stages of clinical translation and merit further investigation. Genetically targeted rational drug design has a strong evidence base and, due to the nature of genetic data, academia, direct-to-consumer companies, healthcare systems, and industry may meet in an unprecedented manner. Data sharing navigation may prove problematic. The present manuscript addresses these issues and concludes a need for further guidance to be provided to prescribers by professional bodies to aid in the consideration of such complexities and guide translation of scientific knowledge to personalised clinical action, thereby striving to improve patient care. Additionally, technologic infrastructure equipped to handle such large complex data must be adapted to pharmacogenomics and made user friendly for prescribers and patients alike.
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Affiliation(s)
- E F Magavern
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
- Department of Clinical Pharmacology, Cardiovascular Medicine, Barts Health NHS Trust, London, UK
| | - J C Kaski
- Molecular and Clinical Sciences Research Institute, St George's, University of London, Cranmer Terrace, London, SW17 0RE, UK.
| | - R M Turner
- The Wolfson Centre for Personalised Medicine, Institute of Systems, Molecular and Integrative Biology (ISMIB), University of Liverpool, Liverpool, UK
- Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
| | - A Janmohamed
- Department of Clinical Pharmacology, St George's, University of London, London, UK
| | - P Borry
- Center for Biomedical Ethics and Law, Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
- Leuven Institute for Human Genetics and Society, Leuven, Belgium
| | - M Pirmohamed
- The Wolfson Centre for Personalised Medicine, Institute of Systems, Molecular and Integrative Biology (ISMIB), University of Liverpool, Liverpool, UK
- Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
- Liverpool Health Partners, Liverpool, UK
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Osama S, Wirth F, Zahra G, Barbara C, Xuereb RG, Camilleri L, Azzopardi LM. CYP2C19*2 genetic polymorphism and incidence of in-stent restenosis in patients on clopidogrel: a matched case-control study. Drug Metab Pers Ther 2021; 37:155-161. [PMID: 34851561 DOI: 10.1515/dmpt-2021-0160] [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: 07/12/2021] [Accepted: 10/01/2021] [Indexed: 11/15/2022]
Abstract
OBJECTIVES The cytochrome P450 2C19*2 (CYP2C19*2) genetic polymorphism is associated with reduced clopidogrel bioactivation, increasing the risk of atherothrombotic complications after percutaneous coronary intervention (PCI). In-stent restenosis (ISR) is a complication that limits the long-term prognosis of PCI. The aim was to investigate the association between presence of the CYP2C19*2 allele and ISR within one-year after PCI in patients prescribed dual antiplatelet therapy with aspirin and clopidogrel. METHODS Sixty patients with angiographically-confirmed drug eluting stent (DES)-ISR within 12 months post-PCI when on DAPT with aspirin and clopidogrel were retrospectively identified (Cases). Another 60 patients with no documented ISR post-PCI in the study period (Controls) were case-matched for age, gender, ethnicity, diabetes mellitus and estimated glomerular filtration rate value, and were invited for CYP2C19*2 genotyping. The association between presence of the CYP2C19*2 allele and ISR was analysed using the Fisher's Exact test and binary logistic regression. RESULTS Twenty-six (43.3%) cases and 5 (8.3%) controls were carriers of one or two CYP2C19*2 alleles. As to non-carrier status of the CYP2C19*2 allele, 34 (56.7%) cases and 55 (91.7%) controls were identified. The association between CYP2C19*2 carrier status and DES-ISR within one-year post-PCI was statistically significant (p<0.001) in both the univariate and multivariate analysis. CONCLUSIONS The proportion of patients who were carriers of one or two CYP2C19*2 alleles who presented with DES-ISR within one-year post-PCI while on clopidogrel was significantly higher compared to patients with no documented ISR.
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Affiliation(s)
- Sara Osama
- Department of Pharmacy, Faculty of Medicine and Surgery, University of Malta, Msida, Malta
| | - Francesca Wirth
- Department of Pharmacy, Faculty of Medicine and Surgery, University of Malta, Msida, Malta
| | - Graziella Zahra
- Department of Pathology, Molecular Diagnostics Unit, Mater Dei Hospital, Msida, Malta
| | - Christopher Barbara
- Department of Pathology, Molecular Diagnostics Unit, Mater Dei Hospital, Msida, Malta
| | | | - Liberato Camilleri
- Department of Statistics and Operations Research, Faculty of Science, University of Malta, Msida, Malta
| | - Lilian M Azzopardi
- Department of Pharmacy, Faculty of Medicine and Surgery, University of Malta, Msida, Malta
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Bright D, Saadeh C, DeVuyst-Miller S, Sohn M, Choker A, Langerveld A. Pharmacist Consult Reports to Support Pharmacogenomics Report Interpretation. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2020; 13:719-724. [PMID: 33328756 PMCID: PMC7735940 DOI: 10.2147/pgpm.s276687] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 10/23/2020] [Indexed: 02/06/2023]
Abstract
Background The clinical implementation of pharmacogenomics (PGx) has often involved teams that include pharmacists. PGx laboratories often provide baseline information within the laboratory report that is based on Food and Drug Administration and Clinical Pharmacogenomics Implementation Consortium guidance, but information is often provided independent of concurrent disease states or medication use, among other clinical factors. Major challenges to widescale implementation of PGx include lack of physician experience or confidence in interpreting the data. The purpose of this paper is to describe how pharmacists can help further personalize PGx information and identify clinical recommendations for a given patient. Methods This work was performed as a secondary objective of a study evaluating genetic biomarkers of opioid addiction risk. This portion of the study utilized a descriptive analysis of pharmacist consult reports that consist of individualized, patient-level clinical recommendations that take into account current medications, current health conditions, and PGx data. A panel of 60 common PGx targets were tested among patients being treated for chronic pain or opioid use disorder (OUD). A pharmacist consult report was generated and compared with standard laboratory reporting of general PGx information. Results Of the 252 patients, PGx reports for 198 (78.6%) contained red and/or yellow clinical decision support flags for medications with actionable or informative PGx guidance for currently prescribed medications. Pharmacists recommended modifications to current prescriptions for 31 (53%) of the patients with actionable flags and 17 (12%) of the patients with informative flags. Drug classes most commonly included medications for cardiology, depression and anxiety, pain (opioids) and gastrointestinal management. Taken together, 24.2% of the actionable and informative flags had immediate clinical value based on the pharmacist’s review. An additional 217 (86%) received one or more clinical recommendations not related to PGx. Conclusion While PGx provides another opportunity for pharmacotherapy personalization, PGx data must be considered within the context of other patient-specific factors. Pharmacists were able to streamline the PGx report flags and identify other pharmacotherapy interventions following application of patient-specific data, thereby developing a brief report of recommendations for the patient’s prescriber(s). Engaging clinical pharmacists in the PGx clinical decision process may help to facilitate more widespread PGx implementation.
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Affiliation(s)
- David Bright
- Department of Pharmaceutical Sciences, Ferris State University College of Pharmacy, Big Rapids, MI 49307, USA
| | - Claire Saadeh
- Ferris State University College of Pharmacy, Big Rapids, MI 49307, USA
| | | | - Minji Sohn
- Department of Pharmaceutical Sciences, Ferris State University College of Pharmacy, Big Rapids, MI 49307, USA
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Bright D, Petry N, Roath E, Reckow E, Chavour S. Barriers, solutions, and effect of using pharmacogenomics data to support opioid prescribing. J Manag Care Spec Pharm 2020; 26:1597-1602. [PMID: 33252002 PMCID: PMC10390958 DOI: 10.18553/jmcp.2020.26.12.1597] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Opioid use and misuse are continued issues facing clinicians across all aspects of health care. As clinicians struggle to effectively manage opioid prescribing, pharmacogenomics (PGx) further offers the prescriber an improved ability to understand the potential for an individual patient's genetics to influence opioid efficacy and safety. When PGx data are available at the point of initial prescribing, clinicians can apply that data to drug therapy selection. However, barriers continue to exist relative to PGx data sharing and interpretation, which have created difficulties for widespread PGx implementation. This article briefly describes potential barriers to PGx data integration, strategies to overcome those barriers, and the potential positive effect of successful data sharing on opioid prescribing. Prescription drug monitoring programs (PDMPs) have been successfully operationalized to share controlled substance prescribing data across health care settings. Such data sharing enables clinicians to, among other things, better understand risks associated with misuse. Because a relatively limited volume of PGx data is currently pertinent to opioid prescribing, such PGx data could be added to PDMPs as a way to communicate genetic information within current technology platforms. Not only would this integrate into existing clinical workflow models where PDMP data are accessed at this point of prescribing and/or dispensing, but associated clinical guidance for PGx data interpretation in the context of opioids could be integrated into the workflow process. Such clinical decision support could be provided directly through the PDMP interface for uniformity or could be provided via systems that access PDMP data. Clinical, economic, and policy implications of the inclusion of PGx data within PDMPs are also discussed. Through harnessing PDMP for data sharing, multiple barriers to PGx implementation could be mitigated, and clinicians may have better access to PGx data to optimize opioid prescribing. DISCLOSURES: No outside funding supported this study. Bright has a patent pending related to opioid use disorder risk assessment that includes genetic information and was a collaborator on funded research projects with pharmacogenomics-related companies. Petry has been a consultant to the North Dakota Department of Health and has received grants from IGNITE I and IGNITE II (NIH), unrelated to this work. The other authors are aware of no financial conflicts of interest.
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Affiliation(s)
- David Bright
- Ferris State University College of Pharmacy, Big Rapids, MI
| | - Natasha Petry
- North Dakota State University School of Pharmacy, Fargo ND
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Stevenson JM, Alexander GC, Palamuttam N, Mehta HB. Projected Utility of Pharmacogenomic Testing Among Individuals Hospitalized With COVID-19: A Retrospective Multicenter Study in the United States. Clin Transl Sci 2020; 14:153-162. [PMID: 33085221 PMCID: PMC7877860 DOI: 10.1111/cts.12919] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 10/07/2020] [Indexed: 12/24/2022] Open
Abstract
Many academic institutions are collecting blood samples from patients seeking treatment for coronavirus disease 2019 (COVID‐19) to build research biorepositories. It may be feasible to extract pharmacogenomic (PGx) information from biorepositories for clinical use. We sought to characterize the potential value of multigene PGx testing among individuals hospitalized with COVID‐19 in the United States. We performed a cross‐sectional analysis of electronic health records from consecutive individuals hospitalized with COVID‐19 at a large, urban academic health system. We characterized medication orders, focusing on medications with actionable PGx guidance related to 14 commonly assayed genes (CYP2C19, CYP2C9, CYP2D6, CYP3A5, DPYD, G6PD, HLA‐A, HLA‐B, IFNL3, NUDT15, SLCO1B1, TPMT, UGT1A1, and VKORC1). A simulation analysis combined medication data with population phenotype frequencies to estimate how many treatment modifications would be enabled if multigene PGx results were available. Sixty‐four unique medications with PGx guidance were ordered at least once in the cohort (n = 1,852, mean age 60.1 years). Nearly nine in 10 individuals (89.7%) had at least one order for a medication with PGx guidance and 427 patients (23.1%) had orders for 4 or more actionable medications. Using a simulation, we estimated that 17 treatment modifications per 100 patients would be enabled if PGx results were available. The genes CYP2D6 and CYP2C19 were responsible for the majority of treatment modifications, and the medications most often affected were ondansetron, oxycodone, and clopidogrel. PGx results would be relevant for nearly all individuals hospitalized with COVID‐19 and would provide the opportunity to improve clinical care.
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Affiliation(s)
- James M Stevenson
- Division of Clinical Pharmacology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - G Caleb Alexander
- Center for Drug Safety and Effectiveness, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Natasha Palamuttam
- Division of Health Sciences Informatics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Hemalkumar B Mehta
- Center for Drug Safety and Effectiveness, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
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Roosan D, Hwang A, Law AV, Chok J, Roosan MR. The inclusion of health data standards in the implementation of pharmacogenomics systems: a scoping review. Pharmacogenomics 2020; 21:1191-1202. [PMID: 33124487 DOI: 10.2217/pgs-2020-0066] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
Background: Despite potential benefits, the practice of incorporating pharmacogenomics (PGx) results in clinical decisions has yet to diffuse widely. In this study, we conducted a review of recent discussions on data standards and interoperability with a focus on sharing PGx test results among health systems. Materials & methods: We conducted a literature search for PGx clinical decision support systems between 1 January 2012 and 31 January 2020. Thirty-two out of 727 articles were included for the final review. Results: Nine of the 32 articles mentioned data standards and only four of the 32 articles provided solutions for the lack of interoperability. Discussions: Although PGx interoperability is essential for widespread implementation, a lack of focus on standardized data creates a formidable challenge for health information exchange. Conclusion: Standardization of PGx data is essential to improve health information exchange and the sharing of PGx results between disparate systems. However, PGx data standards and interoperability are often not addressed in the system-level implementation.
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Affiliation(s)
- Don Roosan
- Assistant Professor, Department of Pharmacy Practice & Administration, College of Pharmacy, Western University of Health Sciences, 309 E 2nd street, Pomona, CA 91766, USA
| | - Angela Hwang
- Research Assistant, Department of Pharmacy Practice & Administration, College of Pharmacy, Western University of Health Sciences, Pomona, CA 91766, USA
| | - Anandi V Law
- Professor, Department of Pharmacy Practice & Administration, College of Pharmacy, Western University of Health Sciences, Pomona, CA 91766, USA
| | - Jay Chok
- Associate Professor, School of Applied Life Sciences, Keck Graduate Institute, Claremont Colleges, Pomona, CA 91711, USA
| | - Moom R Roosan
- Assistant Professor, School of Pharmacy, Department of Pharmacy Practice, Chapman University, Irvine, CA 92618, USA
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Establishment of a Pharmacogenetics Service Focused on Optimizing Existing Pharmacogenetic Testing at a Large Academic Health Center. J Pers Med 2020; 10:jpm10040154. [PMID: 33023029 PMCID: PMC7711716 DOI: 10.3390/jpm10040154] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 09/25/2020] [Accepted: 09/27/2020] [Indexed: 01/20/2023] Open
Abstract
Multiple groups have described strategies for clinical implementation of pharmacogenetics (PGx) that often include internal laboratory tests that are specifically developed for their implementation needs. However, many institutions are not able to follow this practice and instead must utilize external laboratories to obtain PGx testing results. As each external laboratory might have different ordering and reporting workflows, consistent reporting and storing of PGx results within the medical record can be a challenge. This might result in patient safety concerns as important PGx information might not be easily identifiable at the point of current or future prescribing. Herein, we describe initial PGx clinical implementation efforts at a large academic medical center, focusing on optimizing three different test ordering workflows and two distinct result reporting strategies. From this, we identified common issues such as variable reporting location and structure of PGx results, as well as duplicate PGx testing. We identified several opportunities to optimize our current processes, including—(1) PGx laboratory stewardship, (2) increasing visibility of PGx tests, and (3) clinician and patient education. Key to the success was the importance of engaging clinician, informatics, and pathology stakeholders, as we developed interventions to improve our PGX implementation processes.
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48
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Lee CR, Thomas CD, Beitelshees AL, Tuteja S, Empey PE, Lee JC, Limdi NA, Duarte JD, Skaar TC, Chen Y, Cook KJ, Coons JC, Dillon C, Franchi F, Giri J, Gong Y, Kreutz RP, McDonough CW, Stevenson JM, Weck KE, Angiolillo DJ, Johnson JA, Stouffer GA, Cavallari LH. Impact of the CYP2C19*17 Allele on Outcomes in Patients Receiving Genotype-Guided Antiplatelet Therapy After Percutaneous Coronary Intervention. Clin Pharmacol Ther 2020; 109:705-715. [PMID: 32897581 DOI: 10.1002/cpt.2039] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 08/18/2020] [Indexed: 01/03/2023]
Abstract
Genotyping for CYP2C19 no function alleles to guide antiplatelet therapy after percutaneous coronary intervention (PCI) improves clinical outcomes. Although results for the increased function CYP2C19*17 allele are also reported, its clinical relevance in this setting remains unclear. A collaboration across nine sites examined antiplatelet therapy prescribing and clinical outcomes in 3,342 patients after implementation of CYP2C19-guided antiplatelet therapy. Risk of major atherothrombotic and bleeding events over 12 months after PCI were compared across cytochrome P450 2C19 isozyme (CYP2C19) metabolizer phenotype and antiplatelet therapy groups by proportional hazards regression. Clopidogrel was prescribed to a similar proportion of CYP2C19 normal (84.5%), rapid (82.9%), and ultrarapid metabolizers (80.6%) (P = 0.360). Clopidogrel-treated normal metabolizers (20.4 events/100 patient-years; adjusted hazard ratio (HR) 1.00, 95% confidence interval (CI), 0.75-1.33, P = 0.993) and clopidogrel-treated rapid or ultrarapid metabolizers (19.1 events/100 patient-years; adjusted HR 0.95, 95% CI, 0.69-1.30, P = 0.734) exhibited no difference in major atherothrombotic events compared with patients treated with prasugrel or ticagrelor (17.6 events/100 patient-years). In contrast, clopidogrel-treated intermediate and poor metabolizers exhibited significantly higher atherothrombotic event risk compared with prasugrel/ticagrelor-treated patients (adjusted HR 1.56, 95% CI, 1.12-2.16, P = 0.008). When comparing clopidogrel-treated rapid or ultrarapid metabolizers to normal metabolizers, no difference in atherothrombotic (adjusted HR 0.97, 95% CI, 0.73-1.29, P = 0.808) or bleeding events (adjusted HR 1.34, 95% CI, 0.83-2.17, P = 0.224) were observed. In a real-world setting of genotype-guided antiplatelet therapy, the CYP2C19*17 allele did not significantly impact post-PCI prescribing decisions or clinical outcomes. These results suggest the CYP2C19 *1/*17 and *17/*17 genotypes have limited clinical utility to guide antiplatelet therapy after PCI.
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Affiliation(s)
- Craig R Lee
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Cameron D Thomas
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | | | - Sony Tuteja
- University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Philip E Empey
- School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - James C Lee
- Department of Pharmacy Practice, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Nita A Limdi
- University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Julio D Duarte
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - Todd C Skaar
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Yiqing Chen
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - Kelsey J Cook
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - James C Coons
- School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Chrisly Dillon
- University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Francesco Franchi
- Department of Medicine, Division of Cardiology, University of Florida, Jacksonville, Florida, USA
| | - Jay Giri
- University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Yan Gong
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - Rolf P Kreutz
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Caitrin W McDonough
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - James M Stevenson
- School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Karen E Weck
- Division of Cardiology and McAllister Heart Institute, UNC School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Dominick J Angiolillo
- Department of Medicine, Division of Cardiology, University of Florida, Jacksonville, Florida, USA
| | - Julie A Johnson
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - George A Stouffer
- Division of Cardiology and McAllister Heart Institute, UNC School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Larisa H Cavallari
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
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Diabetes and CYP2C19 Polymorphism Synergistically Impair the Antiplatelet Activity of Clopidogrel Compared With Ticagrelor in Percutaneous Coronary Intervention–treated Acute Coronary Syndrome Patients. J Cardiovasc Pharmacol 2020; 76:478-488. [DOI: 10.1097/fjc.0000000000000881] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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50
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Smith DM, Namvar T, Brown RP, Springfield TB, Peshkin BN, Walsh RJ, Welsh JC, Levin B, Brandt N, Swain SM. Assessment of primary care practitioners' attitudes and interest in pharmacogenomic testing. Pharmacogenomics 2020; 21:1085-1094. [PMID: 32969759 DOI: 10.2217/pgs-2020-0064] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Aims: Identify the attitudes and interests of primary care providers (PCPs) in applying clinical pharmacogenomics (PGx) test results. Materials & methods: A questionnaire was designed and then disseminated to PCPs across the MedStar Health System. Results: Ninety of 312 (29%) PCPs responded and were included in analyses. Seventy-six (84%) had heard of PGx and 12 (13%) previously ordered PGx testing. Most, 68 (76%), believed PGx can improve care; however, a minority, 23 (26%), reported confidence in using PGx in prescribing decisions. Sixty-four (70%) wanted a pharmacist consultation. PCPs desired PGx for antidepressants (75%), proton pump inhibitors (72%) and other medications. Conclusion: Most PCPs felt unprepared to interpret PGx results and desired pharmacist consultations. These data can inform future PGx implementations with PCPs.
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Affiliation(s)
- D Max Smith
- MedStar Health, Columbia, MD 21044, USA.,Georgetown University Medical Center, Washington, DC 20057, USA
| | - Tarlan Namvar
- University of Maryland School of Pharmacy, Lamy Center, MD 212014, USA
| | | | | | - Beth N Peshkin
- Georgetown University Medical Center, Washington, DC 20057, USA
| | | | | | | | - Nicole Brandt
- University of Maryland School of Pharmacy, Lamy Center, MD 212014, USA.,MedStar Center for Successful Aging, Baltimore, MD 21239, USA
| | - Sandra M Swain
- MedStar Health, Columbia, MD 21044, USA.,Georgetown University Medical Center, Washington, DC 20057, USA
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