Browsing by Author "Ramos, Michelle"

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    Correction: Opportunities to implement a sustainable genomic medicine program: lessons learned from the IGNITE Network
    (Springer Nature, 2019-07) Levy, Kenneth D.; Blake, Kathryn; Fletcher-Hoppe, Colette; Franciosi, James; Goto, Diasuke; Hicks, James K.; Holmes, Ann M.; Kanuri, Sri Harsha; Madden, Ebony B.; Musty, Michael D.; Orlando, Lori; Pratt, Victoria M.; Ramos, Michelle; Wu, Ryanne; Ginsburg, Geoffrey S.; Medicine, School of Medicine
    The original version of this Article contained an error in the spelling of the author Geoffrey S. Ginsburg, which was incorrectly given as Geoffrey Ginsburg. This has now been corrected in both the PDF and HTML versions of the Article.
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    Correction: Opportunities to implement a sustainable genomic medicine program: lessons learned from the IGNITE Network
    (Springer Nature, 2021) Levy, Kenneth D.; Blake, Kathryn; Fletcher-Hoppe, Colette; Franciosi, James; Goto, Daisuke; Hicks, James K.; Holmes, Ann M.; Kanuri, Sri Harsha; Madden, Ebony B.; Musty, Michael D.; Orlando, Lori; Pratt, Victoria M.; Ramos, Michelle; Wu, Ryanne; Ginsburg, Geoffrey S.; Medicine, School of Medicine
    Correction to: Genetics in Medicine 21:2019; 10.1038/s41436-018-0080-y; published online 12 July 2018 The original version of this Article contained an error in the spelling of the author Daisuke Goto, which was incorrectly given as Diasuke Goto. This has now been corrected in both the PDF and HTML versions of the Article.
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    Design and Rationale of GUARDD-US: A pragmatic, randomized trial of genetic testing for APOL1 and pharmacogenomic predictors of antihypertensive efficacy in patients with hypertension
    (Elsevier, 2022) Eadon, Michael T.; Cavanaugh, Kerri L.; Orlando, Lori A.; Christian, David; Chakraborty, Hrishikesh; Steen-Burrell, Kady-Ann; Merrill, Peter; Seo, Janet; Hauser, Diane; Singh, Rajbir; Maynor Beasley, Cherry; Fuloria, Jyotsna; Kitzman, Heather; Parker, Alexander S.; Ramos, Michelle; Ong, Henry H.; Elwood, Erica N.; Lynch, Sheryl E.; Clermont, Sabrina; Cicali, Emily J.; Starostik, Petr; Pratt, Victoria M.; Nguyen, Khoa A.; Rosenman, Marc B.; Calman, Neil S.; Robinson, Mimsie; Nadkarni, Girish N.; Madden, Ebony B.; Kucher, Natalie; Volpi, Simona; Dexter, Paul R.; Skaar, Todd C.; Johnson, Julie A.; Cooper-DeHoff, Rhonda M.; Horowitz, Carol R.; GUARDD-US Investigators; Medicine, School of Medicine
    Rationale and objective: APOL1 risk alleles are associated with increased cardiovascular and chronic kidney disease (CKD) risk. It is unknown whether knowledge of APOL1 risk status motivates patients and providers to attain recommended blood pressure (BP) targets to reduce cardiovascular disease. Study design: Multicenter, pragmatic, randomized controlled clinical trial. Setting and participants: 6650 individuals with African ancestry and hypertension from 13 health systems. Intervention: APOL1 genotyping with clinical decision support (CDS) results are returned to participants and providers immediately (intervention) or at 6 months (control). A subset of participants are re-randomized to pharmacogenomic testing for relevant antihypertensive medications (pharmacogenomic sub-study). CDS alerts encourage appropriate CKD screening and antihypertensive agent use. Outcomes: Blood pressure and surveys are assessed at baseline, 3 and 6 months. The primary outcome is change in systolic BP from enrollment to 3 months in individuals with two APOL1 risk alleles. Secondary outcomes include new diagnoses of CKD, systolic blood pressure at 6 months, diastolic BP, and survey results. The pharmacogenomic sub-study will evaluate the relationship of pharmacogenomic genotype and change in systolic BP between baseline and 3 months. Results: To date, the trial has enrolled 3423 participants. Conclusions: The effect of patient and provider knowledge of APOL1 genotype on systolic blood pressure has not been well-studied. GUARDD-US addresses whether blood pressure improves when patients and providers have this information. GUARDD-US provides a CDS framework for primary care and specialty clinics to incorporate APOL1 genetic risk and pharmacogenomic prescribing in the electronic health record.
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    Developing a Common Framework for Evaluating the Implementation of Genomic Medicine Interventions in Clinical Care: The IGNITE Network’s Common Measures Working Group
    (Nature Publishing group, 2018-06) Orlando, Lori A.; Sperber, Nina R.; Voils, Corrine; Nichols, Marshall; Myers, Rachel A.; Wu, R. Ryanne; Rakhra-Burris, Tejinder; Levy, Kenneth D.; Levy, Mia; Pollin, Toni I.; Guan, Yue; Horowitz, Carol R.; Ramos, Michelle; Kimmel, Stephen E.; McDonough, Caitrin W.; Madden, Ebony B.; Damschroder, Laura J.; Medicine, School of Medicine
    Purpose Implementation research provides a structure for evaluating the clinical integration of genomic medicine interventions. This paper describes the Implementing GeNomics In PracTicE (IGNITE) Network’s efforts to promote: 1) a broader understanding of genomic medicine implementation research; and 2) the sharing of knowledge generated in the network. Methods To facilitate this goal the IGNITE Network Common Measures Working Group (CMG) members adopted the Consolidated Framework for Implementation Research (CFIR) to guide their approach to: identifying constructs and measures relevant to evaluating genomic medicine as a whole, standardizing data collection across projects, and combining data in a centralized resource for cross network analyses. Results CMG identified ten high-priority CFIR constructs as important for genomic medicine. Of those, eight didn’t have standardized measurement instruments. Therefore, we developed four survey tools to address this gap. In addition, we identified seven high-priority constructs related to patients, families, and communities that did not map to CFIR constructs. Both sets of constructs were combined to create a draft genomic medicine implementation model. Conclusion We developed processes to identify constructs deemed valuable for genomic medicine implementation and codified them in a model. These resources are freely available to facilitate knowledge generation and sharing across the field.
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    Implementing a pragmatic clinical trial to tailor opioids for acute pain on behalf of the IGNITE ADOPT PGx investigators.
    (Wiley, 2022-07-28) Cavallari, Larisa H.; Cicali, Emily; Wiisanen, Kristin; Fillingim, Roger B.; Chakraborty, Hrishikesh; Myers, Rachel A.; Blake, Kathryn V.; Asiyanbola, Bolanle; Baye, Jordan F.; Bronson, Wesley H.; Cook, Kelsey J.; Elwood, Erica N.; Gray, Chancellor F.; Gong, Yan; Hines, Lindsay; Kannry, Joseph; Kucher, Natalie; Lynch, Sheryl; Nguyen, Khoa A.; Obeng, Aniwaa Owusu; Pratt, Victoria M.; Prieto, Hernan A.; Ramos, Michelle; Sadeghpour, Azita; Singh, Rajbir; Rosenman, Marc; Starostik, Petr; Thomas, Cameron D.; Tillman, Emma; Dexter, Paul R.; Horowitz, Carol R.; Orlando, Lori A.; Peterson, Josh F.; Skaar, Todd C.; Van Driest, Sara L.; Volpi, Simona; Voora, Deepak; Parvataneni, Hari K.; Johnson, Julie A.
    Opioid prescribing for postoperative pain management is challenging because of inter-patient variability in opioid response and concern about opioid addiction. Tramadol, hydrocodone, and codeine depend on the cytochrome P450 2D6 (CYP2D6) enzyme for formation of highly potent metabolites. Individuals with reduced or absent CYP2D6 activity (i.e., intermediate metabolizers [IMs] or poor metabolizers [PMs], respectively) have lower concentrations of potent opioid metabolites and potentially inadequate pain control. The primary objective of this prospective, multicenter, randomized pragmatic trial is to determine the effect of postoperative CYP2D6-guided opioid prescribing on pain control and opioid usage. Up to 2020 participants, age ≥8 years, scheduled to undergo a surgical procedure will be enrolled and randomized to immediate pharmacogenetic testing with clinical decision support (CDS) for CYP2D6 phenotype-guided postoperative pain management (intervention arm) or delayed testing without CDS (control arm). CDS is provided through medical record alerts and/or a pharmacist consult note. For IMs and PM in the intervention arm, CDS includes recommendations to avoid hydrocodone, tramadol, and codeine. Patient-reported pain-related outcomes are collected 10 days and 1, 3, and 6 months after surgery. The primary outcome, a composite of pain intensity and opioid usage at 10 days postsurgery, will be compared in the subgroup of IMs and PMs in the intervention (n = 152) versus the control (n = 152) arm. Secondary end points include prescription pain medication misuse scores and opioid persistence at 6 months. This trial will provide data on the clinical utility of CYP2D6 phenotype-guided opioid selection for improving postoperative pain control and reducing opioid-related risks.
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    Opportunities to implement a sustainable genomic medicine program: lessons learned from the IGNITE Network
    (Springer Nature, 2019-03) Levy, Kenneth D.; Blake, Kathryn; Fletcher-Hoppe, Colette; Franciosi, James; Goto, Diasuke; Hicks, James K.; Holmes, Ann M.; Kanuri, Sri Harsha; Madden, Ebony B.; Musty, Michael D.; Orlando, Lori; Pratt, Victoria M.; Ramos, Michelle; Wu, Ryanne; Ginsburg, Geoffrey; Medicine, School of Medicine
    PURPOSE: While there is growing scientific evidence for and significant advances in the use of genomic technologies in medicine, there is a significant lag in the clinical adoption and sustainability of genomic medicine. Here we describe the findings from the National Human Genome Research Institute's (NHGRI) Implementing GeNomics In pracTicE (IGNITE) Network in identifying key constructs, opportunities, and challenges associated with driving sustainability of genomic medicine in clinical practice. METHODS: Network members and affiliates were surveyed to identify key drivers associated with implementing and sustaining a genomic medicine program. Tallied results were used to develop and weigh key constructs/drivers required to support sustainability of genomic medicine programs. RESULTS: The top three driver-stakeholder dyads were (1) genomic training for providers, (2) genomic clinical decision support (CDS) tools embedded in the electronic health record (EHR), and (3) third party reimbursement for genomic testing. CONCLUSION: Priorities may differ depending on healthcare systems when comparing the current state of key drivers versus projected needs for supporting genomic medicine sustainability. Thus we provide gap-filling guidance based on IGNITE members' experiences. Although results are limited to findings from the IGNITE network, their implementation, scientific, and clinical experience may be used as a road map by others considering implementing genomic medicine programs.
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    Rationale and design for a pragmatic randomized trial to assess gene-based prescribing for SSRIs in the treatment of depression
    (Wiley, 2024) Hines, Lindsay J.; Wilke, Russell A.; Myers, Rachel; Mathews, Carol A.; Liu, Michelle; Baye, Jordan F.; Petry, Natasha; Cicali, Emily J.; Duong, Benjamin Q.; Elwood, Erica; Hulvershorn, Leslie; Nguyen, Khoa; Ramos, Michelle; Sadeghpour, Azita; Wu, R. Ryanne; Williamson, Lloyda; Wiisanen, Kristin; Voora, Deepak; Singh, Rajbir; Blake, Kathryn V.; Murrough, James W.; Volpi, Simona; Ginsburg, Geoffrey S.; Horowitz, Carol R.; Orlando, Lori; Chakraborty, Hrishikesh; Dexter, Paul; Johnson, Julie A.; Skaar, Todd C.; Cavallari, Larisa H.; Van Driest, Sara L.; Peterson, Josh F.; IGNITE Pragmatic Trials Network; Psychiatry, School of Medicine
    Specific selective serotonin reuptake inhibitors (SSRIs) metabolism is strongly influenced by two pharmacogenes, CYP2D6 and CYP2C19. However, the effectiveness of prospectively using pharmacogenetic variants to select or dose SSRIs for depression is uncertain in routine clinical practice. The objective of this prospective, multicenter, pragmatic randomized controlled trial is to determine the effectiveness of genotype-guided selection and dosing of antidepressants on control of depression in participants who are 8 years or older with ≥3 months of depressive symptoms who require new or revised therapy. Those randomized to the intervention arm undergo pharmacogenetic testing at baseline and receive a pharmacy consult and/or automated clinical decision support intervention based on an actionable phenotype, while those randomized to the control arm have pharmacogenetic testing at the end of 6-months. In both groups, depression and drug tolerability outcomes are assessed at baseline, 1 month, 3 months (primary), and 6 months. The primary end point is defined by change in Patient-Reported Outcomes Measurement Information System (PROMIS) Depression score assessed at 3 months versus baseline. Secondary end points include change inpatient health questionnaire (PHQ-8) measure of depression severity, remission rates defined by PROMIS score < 16, medication adherence, and medication side effects. The primary analysis will compare the PROMIS score difference between trial arms among those with an actionable CYP2D6 or CYP2C19 genetic result or a CYP2D6 drug-drug interaction. The trial has completed accrual of 1461 participants, of which 562 were found to have an actionable phenotype to date, and follow-up will be complete in April of 2024.