Browsing by Author "Arwood, Meghan J."

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    Endothelial nitric oxide synthase genotype is associated with pulmonary hypertension severity in left heart failure patients
    (Sage, 2018-04) Duarte, Julio D.; Kansal, Mayank; Desai, Ankit A.; Riden, Katherine; Arwood, Meghan J.; Yacob, Alex A.; Stamos, Thomas D.; Cavallari, Larisa H.; Zamanian, Roham T.; Shah, Sanjiv J.; Machado, Roberto F.; Medicine, School of Medicine
    The biological mechanisms behind the development of pulmonary hypertension in the setting of left heart failure (HF-PH), including combined pre- and post-capillary pulmonary hypertension (Cpc-PH), remains unclear. This study aimed to use candidate polymorphisms in nitric oxide synthase (NOS) genes to explore the role of NOS in HF-PH. DNA samples from 118 patients with HF-PH were genotyped for the NOS3 rs1799983 and NOS2 rs3730017 polymorphisms. A multiple regression model was used to compare hemodynamic measurements between genotype groups. Patients with the T/T genotype at rs1799983 possessed a nearly 10 mmHg increased transpulmonary gradient (TPG) compared to those with other genotypes ( P = 0.006). This finding was replicated in an independent cohort of 94 HF-PH patients ( P = 0.005). However, when tested in a cohort of 162 pre-capillary pulmonary arterial hypertension patients, no association was observed. In a combined analysis of both HF-PH cohorts, mean pulmonary artery pressure (mPAP), diastolic pulmonary gradient (DPG), and CpcPH status were also associated with rs1799983 genotype ( P = 0.005, P = 0.03, and P = 0.02, respectively). In patients with HF-PH, the NOS3 rs1799983 polymorphism is associated with TPG, and potentially mPAP and DPG as well. These findings suggest that endothelial NOS (encoded by NOS3) may be involved in the pulmonary vascular remodeling observed in Cpc-PH and warrants further study.
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    Genetic Polymorphisms in ADRB2 and ADRB1 Are Associated with Differential Survival in Heart Failure Patients Taking β-Blocker
    (Springer Nature, 2022) Guerra, Leonardo A.; Lteif, Christelle; Arwood, Meghan J.; McDonough, Caitrin W.; Dumeny, Leanne; Desai, Ankit A.; Cavallari, Larisa H.; Duarte, Julio D.; Medicine, School of Medicine
    Single nucleotide polymorphisms (SNPs) have been associated with differential beta-blocker (BB) effects on heart rate, blood pressure, and left ventricular ejection fraction in various patient populations. This study aimed to determine if SNPs previously associated with BB response are also associated with differential survival in heart failure (HF) patients receiving BBs. HF patient data were derived from electronic health records and the Social Security Death Index. Associations and interactions between BB dose, SNP genotype, and the outcome of death were assessed using a Cox proportional-hazard model adjusting for covariates known to be associated with differential survival in HF patients. Two SNPs, ADRB1 Arg389Gly and ADRB2 Glu27Gln, displayed significant interactions (Pint = 0.043 and Pint = 0.017, respectively) with BB dose and their association with mortality. Our study suggests that ADRB2 27Glu and ADRB1 389Arg may confer a larger survival benefit with higher BB doses in patients with HF.
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    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.