Browsing by Subject "APOL1"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Implementation of a Renal Precision Medicine Program: Clinician Attitudes and Acceptance
    (MDPI, 2020-03-26) Spiech, Katherine M.; Tripathy, Purnima R.; Woodcock, Alex M.; Sheth, Nehal A.; Collins, Kimberly S.; Kannegolla, Karthik; Sinha, Arjun D.; Sharfuddin, Asif A.; Pratt, Victoria M.; Khalid, Myda; Hains, David S.; Moe, Sharon M.; Skaar, Todd C.; Moorthi, Ranjani N.; Eadon, Michael T.; Medicine, School of Medicine
    A precision health initiative was implemented across a multi-hospital health system, wherein a panel of genetic variants was tested and utilized in the clinical care of chronic kidney disease (CKD) patients. Pharmacogenomic predictors of antihypertensive response and genomic predictors of CKD were provided to clinicians caring for nephrology patients. To assess clinician knowledge, attitudes, and willingness to act on genetic testing results, a Likert-scale survey was sent to and self-administered by these nephrology providers (N = 76). Most respondents agreed that utilizing pharmacogenomic-guided antihypertensive prescribing is valuable (4.0 ± 0.7 on a scale of 1 to 5, where 5 indicates strong agreement). However, the respondents also expressed reluctance to use genetic testing for CKD risk stratification due to a perceived lack of supporting evidence (3.2 ± 0.9). Exploratory sub-group analyses associated this reluctance with negative responses to both knowledge and attitude discipline questions, thus suggesting reduced exposure to and comfort with genetic information. Given the evolving nature of genomic implementation in clinical care, further education is warranted to help overcome these perception barriers.
  • Thumbnail Image
    Item
    Multi-Institutional Implementation of Clinical Decision Support for APOL1, NAT2, and YEATS4 Genotyping in Antihypertensive Management
    (MDPI, 2021-05-27) Schneider, Thomas M.; Eadon, Michael T.; Cooper-DeHoff, Rhonda M.; Cavanaugh, Kerri L.; Nguyen, Khoa A.; Arwood, Meghan J.; Tillman, Emma M.; Pratt, Victoria M.; Dexter, Paul R.; McCoy, Allison B.; Orlando, Lori A.; Scott, Stuart A.; Nadkarni, Girish N.; Horowitz, Carol R.; Kannry, Joseph L.; Medical and Molecular Genetics, School of Medicine
    (1) Background: Clinical decision support (CDS) is a vitally important adjunct to the implementation of pharmacogenomic-guided prescribing in clinical practice. A novel CDS was sought for the APOL1, NAT2, and YEATS4 genes to guide optimal selection of antihypertensive medications among the African American population cared for at multiple participating institutions in a clinical trial. (2) Methods: The CDS committee, made up of clinical content and CDS experts, developed a framework and contributed to the creation of the CDS using the following guiding principles: 1. medical algorithm consensus; 2. actionability; 3. context-sensitive triggers; 4. workflow integration; 5. feasibility; 6. interpretability; 7. portability; and 8. discrete reporting of lab results. (3) Results: Utilizing the principle of discrete patient laboratory and vital information, a novel CDS for APOL1, NAT2, and YEATS4 was created for use in a multi-institutional trial based on a medical algorithm consensus. The alerts are actionable and easily interpretable, clearly displaying the purpose and recommendations with pertinent laboratory results, vitals and links to ordersets with suggested antihypertensive dosages. Alerts were either triggered immediately once a provider starts to order relevant antihypertensive agents or strategically placed in workflow-appropriate general CDS sections in the electronic health record (EHR). Detailed implementation instructions were shared across institutions to achieve maximum portability. (4) Conclusions: Using sound principles, the created genetic algorithms were applied across multiple institutions. The framework outlined in this study should apply to other disease-gene and pharmacogenomic projects employing CDS.