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Jayaraman P, Crouse A, Nadkarni G, Might M. A Primer in Precision Nephrology: Optimizing Outcomes in Kidney Health and Disease through Data-Driven Medicine. Kidney360 2023; 4:e544-e554. [PMID: 36951457 PMCID: PMC10278804 DOI: 10.34067/kid.0000000000000089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 01/04/2023] [Indexed: 03/24/2023]
Abstract
This year marks the 63rd anniversary of the International Society of Nephrology, which signaled nephrology's emergence as a modern medical discipline. In this article, we briefly trace the course of nephrology's history to show a clear arc in its evolution-of increasing resolution in nephrological data-an arc that is converging with computational capabilities to enable precision nephrology. In general, precision medicine refers to tailoring treatment to the individual characteristics of patients. For an operational definition, this tailoring takes the form of an optimization, in which treatments are selected to maximize a patient's expected health with respect to all available data. Because modern health data are large and high resolution, this optimization process requires computational intervention, and it must be tuned to the contours of specific medical disciplines. An advantage of this operational definition for precision medicine is that it allows us to better understand what precision medicine means in the context of a specific medical discipline. The goal of this article was to demonstrate how to instantiate this definition of precision medicine for the field of nephrology. Correspondingly, the goal of precision nephrology was to answer two related questions: ( 1 ) How do we optimize kidney health with respect to all available data? and ( 2 ) How do we optimize general health with respect to kidney data?
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Affiliation(s)
- Pushkala Jayaraman
- The Charles Bronfman Institute for Personalized Medicine Icahn School of Medicine at Mount Sinai, New York, New York
| | - Andrew Crouse
- Hugh Kaul Precision Medicine Institute, University of Alabama at Birmingham, Birmingham, Alabama
| | - Girish Nadkarni
- The Charles Bronfman Institute for Personalized Medicine Icahn School of Medicine at Mount Sinai, New York, New York
- The Mount Sinai Clinical Intelligence Center (MSCIC), Icahn School of Medicine at Mount Sinai, New York, New York
- Division of Data Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
- Barbara T Murphy Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Matthew Might
- Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
- Department of Computer Science, University of Alabama at Birmingham, Birmingham, Alabama
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Kamp M, Pain O, May A, Lewis CM, Ramsay M. Clinicians' Perceptions towards Precision Medicine Tools for Cardiovascular Disease Risk Stratification in South Africa. J Pers Med 2022; 12. [PMID: 36143145 DOI: 10.3390/jpm12091360] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 08/16/2022] [Accepted: 08/17/2022] [Indexed: 11/17/2022] Open
Abstract
Cardiovascular diseases (CVDs) are a leading cause of mortality and morbidity in South Africa. Risk stratification is the preferred approach to disease prevention, but identifying patients at high risk for CVD remains challenging. Assessing genetic risk could improve stratification and inform a clinically relevant precision medicine (PM) approach. Clinicians are critical to PM adoption, thus, this study explores practicing clinicians’ perceptions of PM-based CVD risk stratification in South Africa’s public health setting. Practicing clinicians (n = 109) at four teaching hospitals in Johannesburg, South Africa, completed an electronic self-administered survey. The effect of demographic and professional characteristics on PM-based CVD risk stratification perceptions was assessed. Fewer than 25% of respondents used clinical genetic testing, and 14% had formal genetics training. 78% had a low mean knowledge score, with higher scores associated with genetic training (p < 0.0005) and research involvement (p < 0.05). Despite limited knowledge and resources, 84% perceived PM approaches positively. 57% felt confident in applying the PM-based approach, with those already undertaking CVD risk stratification more confident (p < 0.001). High cost and limited access to genetics services are key barriers. Integrating genetic information into established clinical tools will likely increase confidence in using PM approaches. Addressing the genetics training gap and investment into the country’s genomics capacity is needed to advance PM in South Africa.
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Mrug M, Bloom MS, Seto C, Malhotra M, Tabriziani H, Gauthier P, Sidlow V, McKanna T, Billings PR. Genetic Testing for Chronic Kidney Diseases: Clinical Utility and Barriers Perceived by Nephrologists. Kidney Med 2021; 3:1050-1056. [PMID: 34939014 PMCID: PMC8664736 DOI: 10.1016/j.xkme.2021.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
Abstract
Rationale & Objective The identification of pathogenic variants in genes associated with chronic kidney disease can provide patients and nephrologists with actionable information to guide diagnoses and therapeutic plans. However, many nephrologists do not use genetic testing despite costs decreasing over time and more widespread availability. Study Design We conducted a survey to uncover the perceptions of general adult nephrologists about the utility of and barriers to genetic testing in clinical practice. Setting & Participants The online survey was administered to board-certified nephrologists (n = 10,054) in the United States. Analytical Approach We analyzed demographic characteristics of the survey respondents and their responses in the context of their use of genetic testing in routine clinical practice. Results A total of 149 nephrologists completed the survey, with 72% (107 of 149) reporting genetic test use in their practice. On average, tests were ordered for 3.8% of their patient population. Thirty-five percent of responses from nephrologists without a history of genetic test use ranked perceived barriers as "extremely significant" compared with 23% of responses from those who had previously used genetic tests. However, both users and nonusers of genetic tests indicated high cost (users: 46%, 49 of 107; nonusers 69%, 29 of 42) and poor availability or lack of ease (users: 33%, 35 of 107; nonusers: 57%; 24 of 42) of genetic testing as the most significant perceived barriers to implementation. Limitations The survey used in this study was not previously validated; additionally, because of the relatively small number of responses, there might have been a selection bias among the responders. Conclusions Although most nephrologists reported using genetic tests in clinical practice, high costs and poor availability or the lack of ease of use were perceived as the most important barriers to routine adoption. These observations indicate that educational programs that cover a range of topics, from genetics of chronic kidney disease to selection of the test, may help mitigate these barriers and enhance the use of genetic testing in nephrology practice.
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Affiliation(s)
- Michal Mrug
- Department of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama.,Department of Veterans Affairs Medical Center, Birmingham, Alabama
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Eadon MT, Maddatu J, Moe SM, Sinha AD, Melo Ferreira R, Miller BW, Sher SJ, Su J, Pratt VM, Chapman AB, Skaar TC, Moorthi RN. Pharmacogenomics of Hypertension in CKD: The CKD-PGX Study. Kidney360 2021; 3:307-316. [PMID: 35342886 PMCID: PMC8953763 DOI: 10.34067/kid.0005362021] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Background Patients with CKD often have uncontrolled hypertension despite polypharmacy. Pharmacogenomic drug-gene interactions (DGIs) may affect the metabolism or efficacy of antihypertensive agents. We report changes in hypertension control after providing a panel of 11 pharmacogenomic predictors of antihypertensive response. Methods A prospective cohort with CKD and hypertension was followed to assess feasibility of pharmacogenomic testing implementation, self-reported provider utilization, and BP control. The analysis population included 382 subjects with hypertension who were genotyped for cross-sectional assessment of DGIs, and 335 subjects followed for 1 year to assess systolic BP (SBP) and diastolic BP (DBP). Results Most participants (58%) with uncontrolled hypertension had a DGI reducing the efficacy of one or more antihypertensive agents. Subjects with a DGI had 1.85-fold (95% CI, 1.2- to 2.8-fold) higher odds of uncontrolled hypertension, as compared with those without a DGI, adjusted for race, health system (safety-net hospital versus other locations), and advanced CKD (eGFR <30 ml/min). CYP2C9-reduced metabolism genotypes were associated with losartan response and uncontrolled hypertension (odds ratio [OR], 5.2; 95% CI, 1.9 to 14.7). CYP2D6-intermediate or -poor metabolizers had less frequent uncontrolled hypertension compared with normal metabolizers taking metoprolol or carvedilol (OR, 0.55; 95% CI, 0.3 to 0.95). In 335 subjects completing 1-year follow-up, SBP (-4.0 mm Hg; 95% CI, 1.6 to 6.5 mm Hg) and DBP (-3.3 mm Hg; 95% CI, 2.0 to 4.6 mm Hg) were improved. No significant difference in SBP or DBP change were found between individuals with and without a DGI. Conclusions There is a potential role for the addition of pharmacogenomic testing to optimize antihypertensive regimens in patients with CKD.
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Affiliation(s)
- Michael T. Eadon
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana,Richard L. Roudebush Veterans Administration Medical Center, Indianapolis, Indiana
| | - Judith Maddatu
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Sharon M. Moe
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Arjun D. Sinha
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana,Richard L. Roudebush Veterans Administration Medical Center, Indianapolis, Indiana
| | - Ricardo Melo Ferreira
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Brent W. Miller
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - S. Jawad Sher
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Jing Su
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana
| | - Victoria M. Pratt
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana
| | | | - Todd C. Skaar
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Ranjani N. Moorthi
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana
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Erdmann A, Rehmann-Sutter C, Bozzaro C. Patients' and professionals' views related to ethical issues in precision medicine: a mixed research synthesis. BMC Med Ethics 2021; 22:116. [PMID: 34465328 PMCID: PMC8406914 DOI: 10.1186/s12910-021-00682-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 08/20/2021] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Precision medicine development is driven by the possibilities of next generation sequencing, information technology and artificial intelligence and thus, raises a number of ethical questions. Empirical studies have investigated such issues from the perspectives of health care professionals, researchers and patients. We synthesize the results from these studies in this review. METHODS We used a systematic strategy to search, screen and assess the literature for eligibility related to our research question. The initial search for empirical studies in five data bases provided 665 different records and we selected 92 of these publications for inclusion in this review. Data were extracted in a spreadsheet and categorized into different topics representing the views on ethical issues in precision medicine. RESULTS Many patients and professionals expect high benefits from precision medicine and have a positive attitude towards it. However, patients and professionals also perceive some risks. Commonly perceived risks include: lack of evidence for accuracy of tests and efficacy of treatments; limited knowledge of patients, which makes informed consent more difficult; possible unavailability of access to precision medicine for underprivileged people and ethnic minorities; misuse of data by insurance companies and employers, potential of racial stigmatization due to genetic information; unwanted communication of incidental findings; changes in doctor-patient-relationship through focusing on data; and the problem that patients could feel under pressure to optimize their health. CONCLUSIONS National legislation and guidelines already minimize many risks associated with precision medicine. However, from our perspective some problems require more attention. Should hopes for precision medicine's benefits be fulfilled, then the ethical principle of justice would require an unlimited access to precision medicine for all people. The potential for autonomous patients' decisions must be greatly enhanced by improvements in patient education. Harm from test results must be avoided in any case by the highest possible data security level and communication guidelines. Changes in the doctor-patient relationship and the impact of precision medicine on the quality of life should be further investigated. Additionally, the cost-effectiveness of precision medicine should be further examined, in order to avoid malinvestment.
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Affiliation(s)
- Anke Erdmann
- Institute for Experimental Medicine, Medical Ethics Working Group, Kiel University (CAU), Kiel, Germany.
| | | | - Claudia Bozzaro
- Institute for Experimental Medicine, Medical Ethics Working Group, Kiel University (CAU), Kiel, Germany
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Ware SM, Wilkinson JD, Tariq M, Schubert JA, Sridhar A, Colan SD, Shi L, Canter CE, Hsu DT, Webber SA, Dodd DA, Everitt MD, Kantor PF, Addonizio LJ, Jefferies JL, Rossano JW, Pahl E, Rusconi P, Chung WK, Lee T, Towbin JA, Lal AK, Bhatnagar S, Aronow B, Dexheimer PJ, Martin LJ, Miller EM, Sleeper LA, Razoky H, Czachor J, Lipshultz SE. Genetic Causes of Cardiomyopathy in Children: First Results From the Pediatric Cardiomyopathy Genes Study. J Am Heart Assoc 2021; 10:e017731. [PMID: 33906374 PMCID: PMC8200745 DOI: 10.1161/jaha.120.017731] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background Pediatric cardiomyopathy is a genetically heterogeneous disease with substantial morbidity and mortality. Current guidelines recommend genetic testing in children with hypertrophic, dilated, or restrictive cardiomyopathy, but practice variations exist. Robust data on clinical testing practices and diagnostic yield in children are lacking. This study aimed to identify the genetic causes of cardiomyopathy in children and to investigate clinical genetic testing practices. Methods and Results Children with familial or idiopathic cardiomyopathy were enrolled from 14 institutions in North America. Probands underwent exome sequencing. Rare sequence variants in 37 known cardiomyopathy genes were assessed for pathogenicity using consensus clinical interpretation guidelines. Of the 152 enrolled probands, 41% had a family history of cardiomyopathy. Of 81 (53%) who had undergone clinical genetic testing for cardiomyopathy before enrollment, 39 (48%) had a positive result. Genetic testing rates varied from 0% to 97% between sites. A positive family history and hypertrophic cardiomyopathy subtype were associated with increased likelihood of genetic testing (P=0.005 and P=0.03, respectively). A molecular cause was identified in an additional 21% of the 63 children who did not undergo clinical testing, with positive results identified in both familial and idiopathic cases and across all phenotypic subtypes. Conclusions A definitive molecular genetic diagnosis can be made in a substantial proportion of children for whom the cause and heritable nature of their cardiomyopathy was previously unknown. Practice variations in genetic testing are great and should be reduced. Improvements can be made in comprehensive cardiac screening and predictive genetic testing in first‐degree relatives. Overall, our results support use of routine genetic testing in cases of both familial and idiopathic cardiomyopathy. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT01873963.
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Affiliation(s)
- Stephanie M Ware
- Departments of Pediatrics and Medical and Molecular Genetics Indiana University School of Medicine Indianapolis IN
| | | | - Muhammad Tariq
- Faculty of Applied Medical Sciences University of Tabuk Kingdom of Saudi Arabia
| | - Jeffrey A Schubert
- Departments of Pediatrics and Medical and Molecular Genetics Indiana University School of Medicine Indianapolis IN
| | - Arthi Sridhar
- Departments of Pediatrics and Medical and Molecular Genetics Indiana University School of Medicine Indianapolis IN
| | - Steven D Colan
- Department of Cardiology and Harvard Medical School Boston Children's Hospital Boston MA
| | - Ling Shi
- New England Research Institutes Watertown MA
| | | | - Daphne T Hsu
- Albert Einstein College of Medicine and Children's Hospital at Montefiore Bronx NY
| | - Steven A Webber
- Monroe Carell Jr. Children's Hospital at Vanderbilt Nashville TN
| | - Debra A Dodd
- Monroe Carell Jr. Children's Hospital at Vanderbilt Nashville TN
| | | | - Paul F Kantor
- Keck School of Medicine and Children's Hospital Los Angeles University of Southern California Los Angeles CA
| | | | | | | | - Elfriede Pahl
- Ann and Robert H. Lurie Children's Hospital Chicago IL
| | - Paolo Rusconi
- University of Miami Miller School of Medicine Miami FL
| | | | - Teresa Lee
- Columbia University Medical Center New York NY
| | | | | | - Surbhi Bhatnagar
- University of Cincinnati School of Medicine and Cincinnati Children's Hospital Medical Center Cincinnati OH
| | - Bruce Aronow
- University of Cincinnati School of Medicine and Cincinnati Children's Hospital Medical Center Cincinnati OH
| | - Phillip J Dexheimer
- University of Cincinnati School of Medicine and Cincinnati Children's Hospital Medical Center Cincinnati OH
| | - Lisa J Martin
- University of Cincinnati School of Medicine and Cincinnati Children's Hospital Medical Center Cincinnati OH
| | - Erin M Miller
- University of Cincinnati School of Medicine and Cincinnati Children's Hospital Medical Center Cincinnati OH
| | - Lynn A Sleeper
- Department of Cardiology and Harvard Medical School Boston Children's Hospital Boston MA
| | - Hiedy Razoky
- Wayne State University School of Medicine Detroit MI
| | - Jason Czachor
- Wayne State University School of Medicine Detroit MI
| | - Steven E Lipshultz
- Jacobs School of Medicine and Biomedical Sciences at University at Buffalo NY.,John R. Oishei Children's Hospital Buffalo NY
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Jayasinghe K, Quinlan C, Mallett AJ, Kerr PG, McClaren B, Nisselle A, Mallawaarachchi A, Polkinghorne KR, Patel C, Best S, Stark Z. Attitudes and Practices of Australian Nephrologists Toward Implementation of Clinical Genomics. Kidney Int Rep 2021; 6:272-83. [PMID: 33615052 DOI: 10.1016/j.ekir.2020.10.030] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 10/12/2020] [Accepted: 10/27/2020] [Indexed: 12/19/2022] Open
Abstract
Introduction Genomic testing is becoming widely available as a diagnostic tool, although widespread implementation is not yet established in nephrology. Methods An anonymous electronic survey was administered to investigate experience and confidence with genomic tests, perceived clinical utility of genomic services, preferences for service delivery models, and readiness for implementation among nephrologists. Questions were guided by a comprehensive literature review and published tools, including a validated theoretical framework for implementation of genomic medicine: Consolidated Framework for Implementation Research (CFIR). Results Responses were received from 224 clinicians, of which 172 were eligible for analysis. Most clinicians (132 [76%]) had referred at least one patient to a genetics clinic. Despite most clinicians (136 [85%]) indicating that they believed genetic testing would be useful, only 39 (23%) indicated they felt confident to use results of genomic testing, with pediatric clinicians feeling more confident compared with adult clinicians (12 of 20 [60%] vs. 27 of 149 [18%]), P < 0.01, Fisher exact). A multidisciplinary renal genetics clinic was the preferred model among clinicians surveyed (98 of 172 [57%]). A key implementation barrier highlighted related to the hospital or organizational culture and/or environment. Specific barriers noted in quantitative and qualitative responses included inadequate staffing, learning resources, and funding. Conclusions Our findings suggest support for genomic testing among nephrologists, with a strong preference for a multidisciplinary model (involving a nephrologist, clinical geneticist, and genetic counselor). Broad-ranging interventions are urgently required to shift the current culture and ensure successful implementation of genomics in nephrology, including reducing knowledge gaps, increased funding and resources, disease-specific guidelines, and streamlining of testing processes.
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Collins KS, Raviele ALJ, Elchynski AL, Woodcock AM, Zhao Y, Cooper-DeHoff RM, Eadon MT. Genotype-Guided Hydralazine Therapy. Am J Nephrol 2020; 51:764-776. [PMID: 32927458 DOI: 10.1159/000510433] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 07/24/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND Despite its approval in 1953, hydralazine hydrochloride continues to be used in the management of resistant hypertension, a condition frequently managed by nephrologists and other clinicians. Hydralazine hydrochloride undergoes metabolism by the N-acetyltransferase 2 (NAT2) enzyme. NAT2 is highly polymorphic as approximately 50% of the general population are slow acetylators. In this review, we first evaluate the link between NAT2 genotype and phenotype. We then assess the evidence available for genotype-guided therapy of hydralazine, specifically addressing associations of NAT2 acetylator status with hydralazine pharmacokinetics, antihypertensive efficacy, and toxicity. SUMMARY There is a critical need to use hydralazine in some patients with resistant hypertension. Available evidence supports a significant link between genotype and NAT2 enzyme activity as 29 studies were identified with an overall concordance between genotype and phenotype of 92%. The literature also supports an association between acetylator status and hydralazine concentration, as fourteen of fifteen identified studies revealed significant relationships with a consistent direction of effect. Although fewer studies are available to directly link acetylator status with hydralazine antihypertensive efficacy, the evidence from this smaller set of studies is significant in 7 of 9 studies identified. Finally, 5 studies were identified which support the association of acetylator status with hydralazine-induced lupus. Clinicians should maintain vigilance when prescribing maximum doses of hydralazine. Key Messages: NAT2 slow acetylator status predicts increased hydralazine levels, which may lead to increased efficacy and adverse effects. Caution should be exercised in slow acetylators with total daily hydralazine doses of 200 mg or more. Fast acetylators are at risk for inefficacy at lower doses of hydralazine. With appropriate guidance on the usage of NAT2 genotype, clinicians can adopt a personalized approach to hydralazine dosing and prescription, enabling more efficient and safe treatment of resistant hypertension.
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Affiliation(s)
- Kimberly S Collins
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Anthony L J Raviele
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Amanda L Elchynski
- Department of Pharmacotherapy and Translational Research, University of Florida, Gainesville, Florida, USA
| | - Alexander M Woodcock
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Yang Zhao
- Department of Pharmacotherapy and Translational Research, University of Florida, Gainesville, Florida, USA
| | - Rhonda M Cooper-DeHoff
- Department of Pharmacotherapy and Translational Research, University of Florida, Gainesville, Florida, USA
| | - Michael T Eadon
- Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA,
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