Browsing by Author "Hicks, J. Kevin"
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Item Best-worst scaling methodology to evaluate constructs of the Consolidated Framework for Implementation Research: application to the implementation of pharmacogenetic testing for antidepressant therapy.(BMC, 2022-05-14) Salloum, Ramzi G.; Bishop, Jeffrey R.; Elchynski, Amanda L.; Smith, D. Max; Rowe, Elizabeth; Blake, Kathryn V.; Limdi, Nita A.; Aquilante, Christina L.; Bates, Jill; Beitelshees, Amber L.; Cipriani, Amber; Duong, Benjamin Q.; Empey, Philip E.; Formea, Christine M.; Hicks, J. Kevin; Mroz, Pawel; Oslin, David; Pasternak, Amy L.; Petry, Natasha; Ramsey, Laura B.; Schlichte, Allyson; Swain, Sandra M.; Ward, Kristen M.; Wiisanen, Kristin; Skaar, Todd C.; Van Driest, Sara L.; Cavallari, Larisa H.; Tuteja, SonyBACKGROUND: 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.Item A Call for Clear and Consistent Communications Regarding the Role of Pharmacogenetics in Antidepressant Pharmacotherapy(Wiley, 2020-01) Hicks, J. Kevin; Bishop, Jeffrey R.; Gammal, Roseann S.; Sangkuhl, Katrin; Bousman, Chad; Leeder, J. Steven; Llerena, Adrián; Mueller, Daniel J.; Ramsey, Laura B.; Scott, Stuart A.; Skaar, Todd C.; Caudle, Kelly E.; Klein, Teri E.; Gaedigk, Andrea; Medicine, School of MedicineItem Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for CYP2D6 and CYP2C19 Genotypes and Dosing of Selective Serotonin Reuptake Inhibitors(Wiley, 2015-08) Hicks, J. Kevin; Bishop, Jeffrey R.; Sangkuhl, Katrin; Müller, Daniel J; Ji, Yuan; Leckband, Susan G.; Leeder, J. Steven; Graham, Rebecca L.; Chiulli, Dana L.; LLerena, Adrián; Skaar, Todd C.; Scott, Stuart A.; Stingl, Julia C.; Klein, Teri E.; Caudle, Kelly E.; Gaedigk, Andrea; Department of Medicine, IU School of MedicineSelective serotonin reuptake inhibitors (SSRIs) are primary treatment options for major depressive and anxiety disorders. CYP2D6 and CYP2C19 polymorphisms can influence the metabolism of SSRIs, thereby affecting drug efficacy and safety. We summarize evidence from the published literature supporting these associations and provide dosing recommendations for fluvoxamine, paroxetine, citalopram, escitalopram, and sertraline based on CYP2D6 and/or CYP2C19 genotype (updates at www.pharmgkb.org).Item Clinical pharmacogenetics implementation consortium guideline (CPIC) for CYP2D6 and CYP2C19 genotypes and dosing of tricyclic antidepressants: 2016 update(Wiley, 2017-07) Hicks, J. Kevin; Sangkuhl, Katrin; Swen, Jesse J.; Ellingrod, Vicki L.; Müller, Daniel J.; Shimoda, Kazutaka; Bishop, Jeffrey R.; Kharasch, Evan D.; Skaar, Todd C.; Gaedigk, Andrea; Dunnenberger, Henry M.; Klein, Teri E.; Caudle, Kelly E.; Stingl, Julia C.; Medicine, School of MedicineCYP2D6 and CYP2C19 polymorphisms affect the exposure, efficacy and safety of tricyclic antidepressants (TCAs), with some drugs being affected by CYP2D6 only (e.g., nortriptyline and desipramine) and others by both polymorphic enzymes (e.g., amitriptyline, clomipramine, doxepin, imipramine, and trimipramine). Evidence is presented for CYP2D6 and CYP2C19 genotype-directed dosing of TCAs. This document is an update to the 2012 Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline for CYP2D6 and CYP2C19 Genotypes and Dosing of Tricyclic Antidepressants.Item Multi-site investigation of strategies for the clinical implementation of CYP2D6 genotyping to guide drug prescribing(Springer Nature, 2019-10) Cavallari, Larisa H.; Van Driest, Sara L.; Prows, Cynthia A.; Bishop, Jeffrey R.; Limdi, Nita A.; Pratt, Victoria M.; Ramsey, Laura B.; Smith, D. Max; Tuteja, Sony; Duong, Benjamin Q.; Hicks, J. Kevin; Lee, James C.; Obeng, Aniwaa Owusu; Beitelshees, Amber L.; Bell, Gillian C.; Blake, Kathryn; Crona, Daniel J.; Dressler, Lynn; Gregg, Ryan A.; Hines, Lindsay J.; Scott, Stuart A.; Shelton, Richard C.; Weitzel, Kristin Wiisanen; Johnson, Julie A.; Peterson, Josh F.; Empey, Philip E.; Skaar, Todd C.; Medical and Molecular Genetics, School of MedicinePURPOSE: A number of institutions have clinically implemented CYP2D6 genotyping to guide drug prescribing. We compared implementation strategies of early adopters of CYP2D6 testing, barriers faced by both early adopters and institutions in the process of implementing CYP2D6 testing, and approaches taken to overcome these barriers. METHODS: We surveyed eight early adopters of CYP2D6 genotyping and eight institutions in the process of adoption. Data were collected on testing approaches, return of results procedures, applications of genotype results, challenges faced, and lessons learned. RESULTS: Among early adopters, CYP2D6 testing was most commonly ordered to assist with opioid and antidepressant prescribing. Key differences among programs included test ordering and genotyping approaches, result reporting, and clinical decision support. However, all sites tested for copy-number variation and nine common variants, and reported results in the medical record. Most sites provided automatic consultation and had designated personnel to assist with genotype-informed therapy recommendations. Primary challenges were related to stakeholder support, CYP2D6 gene complexity, phenotype assignment, and sustainability. CONCLUSION: There are specific challenges unique to CYP2D6 testing given the complexity of the gene and its relevance to multiple medications. Consensus lessons learned may guide those interested in pursuing similar clinical pharmacogenetic programs.Item Multisite evaluation of institutional processes and implementation determinants for pharmacogenetic testing to guide antidepressant therapy.(Wiley, 2022-02) Tuteja, Sony; Salloum, Ramzi G.; Elchynski, Amanda L.; Smith, D. Max; Rowe, Elizabeth; Blake, Kathryn V.; Limdi, Nita A.; Aquilante, Christina L.; Bates, Jill; Beitelshees, Amber L.; Cipriani, Amber; Duong, Benjamin Q.; Empey, Philip E.; Formea, Christine M.; Hicks, J. Kevin; Mroz, Pawel; Oslin, David; Pasternak, Amy L.; Petry, Natasha; Ramsey, Allyson; Swain, Sandra M.; Ward, Kristen M.; Wiisanen, Kristin; Skaar, Todd C.; Van Driest, Sara L.; Cavallari, Larisa H.; Bishop, Jeffrey R.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.Item Multisite investigation of strategies for the clinical implementation of pre-emptive pharmacogenetic testing(Elsevier, 2021) Duarte, Julio D.; Dalton, Rachel; Elchynski, Amanda L.; Smith, D. Max; Cicali, Emily J.; Lee, James C.; Duong, Benjamin Q.; Petry, Natasha J.; Aquilante, Christina L.; Beitelshees, Amber L.; Empey, Philip E.; Johnson, Julie A.; Obeng, Aniwaa Owusu; Pasternak, Amy L.; Pratt, Victoria M.; Ramsey, Laura B.; Tuteja, Sony; Van Driest, Sara L.; Wiisanen, Kristin; Hicks, J. Kevin; Cavallari, Larisa H.; IGNITE Network Pharmacogenetics Working Group; Medical and Molecular Genetics, School of MedicinePurpose: The increased availability of clinical pharmacogenetic (PGx) guidelines and decreasing costs for genetic testing have slowly led to increased utilization of PGx testing in clinical practice. Pre-emptive PGx testing, where testing is performed in advance of drug prescribing, is one means to ensure results are available at the time of prescribing decisions. However, the most efficient and effective methods to clinically implement this strategy remain unclear. Methods: In this report, we compare and contrast implementation strategies for pre-emptive PGx testing by 15 early-adopter institutions. We surveyed these groups, collecting data on testing approaches, team composition, and workflow dynamics, in addition to estimated third-party reimbursement rates. Results: We found that while pre-emptive PGx testing models varied across sites, institutions shared several commonalities, including methods to identify patients eligible for testing, involvement of a precision medicine clinical team in program leadership, and the implementation of pharmacogenes with Clinical Pharmacogenetics Implementation Consortium guidelines available. Finally, while reimbursement rate data were difficult to obtain, the data available suggested that reimbursement rates for pre-emptive PGx testing remain low. Conclusion: These findings should inform the establishment of future implementation efforts at institutions considering a pre-emptive PGx testing program.Item Opportunity for Genotype-Guided Prescribing Among Adult Patients in 11 US Health Systems.(Wiley, 2021-07) Hicks, J. Kevin; El Rouby, Nihal; Ong, Henry H.; Schildcrout, Jonathan S.; Ramsey, Laura B.; Shi, Yaping; Anne Tang, Leigh; Aquilante, Christina L.; Beitelshees, Amber L.; Blake, Kathryn V.; Cimino, James J.; Davis, Brittney H.; Empey, Philip E.; Kao, David P.; Lemkin, Daniel L.; Limdi, Nita A.; P Lipori, Gloria; Rosenman, Marc B.; Skaar, Todd C.; Teal, Evgenia; Tuteja, Sony; Wiley, Laura K.; Williams, Helen; Winterstein, Almut G.; Van Driest, Sara L.; Cavallari, Larisa H.; Peterson, Josh F.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.Item Prescribing Prevalence of Medications With Potential Genotype-Guided Dosing in Pediatric Patients(American Medical Association, 2020-12) Ramsey, Laura B.; Ong, Henry H.; Schildcrout, Jonathan S.; Shi, Yaping; Tang, Leigh Anne; Hicks, J. Kevin; El Rouby, Nihal; Cavallari, Larisa H.; Tuteja, Sony; Aquilante, Christina L.; Beitelshees, Amber L.; Lemkin, Daniel L.; Blake, Kathryn V.; Williams, Helen; Cimino, James J.; Davis, Brittney H.; Limdi, Nita A.; Empey, Philip E.; Horvat, Christopher M.; Kao, David P.; Lipori, Gloria P.; Rosenman, Marc B.; Skaar, Todd C.; Teal, Evgenia; Winterstein, Almut G.; Obeng, Aniwaa Owusu; Salyakina, Daria; Gupta, Apeksha; Gruber, Joshua; McCafferty-Fernandez, Jennifer; Bishop, Jeffrey R.; Rivers, Zach; Benner, Ashley; Tamraz, Bani; Long-Boyle, Janel; Peterson, Josh F.; Van Driest, Sara L.; Pediatrics, School of MedicineImportance: Genotype-guided prescribing in pediatrics could prevent adverse drug reactions and improve therapeutic response. Clinical pharmacogenetic implementation guidelines are available for many medications commonly prescribed to children. Frequencies of medication prescription and actionable genotypes (genotypes where a prescribing change may be indicated) inform the potential value of pharmacogenetic implementation. Objective: To assess potential opportunities for genotype-guided prescribing in pediatric populations among multiple health systems by examining the prevalence of prescriptions for each drug with the highest level of evidence (Clinical Pharmacogenetics Implementation Consortium level A) and estimating the prevalence of potential actionable prescribing decisions. Design, setting, and participants: This serial cross-sectional study of prescribing prevalences in 16 health systems included electronic health records data from pediatric inpatient and outpatient encounters from January 1, 2011, to December 31, 2017. The health systems included academic medical centers with free-standing children's hospitals and community hospitals that were part of an adult health care system. Participants included approximately 2.9 million patients younger than 21 years observed per year. Data were analyzed from June 5, 2018, to April 14, 2020. Exposures: Prescription of 38 level A medications based on electronic health records. Main outcomes and measures: Annual prevalence of level A medication prescribing and estimated actionable exposures, calculated by combining estimated site-year prevalences across sites with each site weighted equally. Results: Data from approximately 2.9 million pediatric patients (median age, 8 [interquartile range, 2-16] years; 50.7% female, 62.3% White) were analyzed for a typical calendar year. The annual prescribing prevalence of at least 1 level A drug ranged from 7987 to 10 629 per 100 000 patients with increasing trends from 2011 to 2014. The most prescribed level A drug was the antiemetic ondansetron (annual prevalence of exposure, 8107 [95% CI, 8077-8137] per 100 000 children). Among commonly prescribed opioids, annual prevalence per 100 000 patients was 295 (95% CI, 273-317) for tramadol, 571 (95% CI, 557-586) for codeine, and 2116 (95% CI, 2097-2135) for oxycodone. The antidepressants citalopram, escitalopram, and amitriptyline were also commonly prescribed (annual prevalence, approximately 250 per 100 000 patients for each). Estimated prevalences of actionable exposures were highest for oxycodone and ondansetron (>300 per 100 000 patients annually). CYP2D6 and CYP2C19 substrates were more frequently prescribed than medications influenced by other genes. Conclusions and relevance: These findings suggest that opportunities for pharmacogenetic implementation among pediatric patients in the US are abundant. As expected, the greatest opportunity exists with implementing CYP2D6 and CYP2C19 pharmacogenetic guidance for commonly prescribed antiemetics, analgesics, and antidepressants.Item Treatment Strategies for Non-Small Cell Lung Cancer with Common EGFR Mutations: A Review of the History of EGFR TKIs Approval and Emerging Data(MDPI, 2023-01-19) Marin-Acevedo, Julian A.; Pellini, Bruna; Kimbrough, ErinMarie O.; Hicks, J. Kevin; Chiappori, Alberto; Medicine, School of MedicineThe development of targeted therapies over the past two decades has led to a dramatic change in the management of EGFR-mutant non-small cell lung cancer (NSCLC). While there are currently five approved EGFR tyrosine kinase inhibitors (TKIs) for treating EGFR-mutant NSCLC in the first-line setting, therapy selection after progression on EGFR TKIs remains complex. Multiple groups are investigating novel therapies and drug combinations to determine the optimal therapy and treatment sequence for these patients. In this review, we summarize the landmark trials and history of the approval of EGFR TKIs, their efficacy and tolerability, and the role of these therapies in patients with central nervous system metastasis. We also briefly discuss the mechanisms of resistance to EGFR TKIs, ongoing attempts to overcome resistance and improve outcomes, and finalize by offering treatment sequencing recommendations.