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Kneifati-Hayek JZ, Zachariah T, Ahn W, Khan A, Kiryluk K, Mohan S, Weng C, Gharavi AG, Nestor JG. Bridging the Gap in Genomic Implementation: Identifying User Needs for Precision Nephrology. Kidney Int Rep 2024; 9:2420-2431. [PMID: 39156149 PMCID: PMC11328575 DOI: 10.1016/j.ekir.2024.05.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 05/22/2024] [Accepted: 05/27/2024] [Indexed: 08/20/2024] Open
Abstract
Introduction Genomic medicine holds transformative potential for personalized nephrology care; however, its clinical integration poses challenges. Automated clinical decision support (CDS) systems in the electronic health record (EHR) offer a promising solution but have shown limited impact. This study aims to glean practical insights into nephrologists' challenges using genomic resources, informing precision nephrology decision support tools. Methods We conducted an anonymous electronic survey among US nephrologists from January 19, 2021 to May 19, 2021, guided by the Consolidated Framework for Implementation Research. It assessed practice characteristics, genomic resource utilization, attitudes, perceived knowledge, self-efficacy, and factors influencing genetic testing decisions. Survey links were primarily shared with National Kidney Foundation members. Results We analyzed 319 surveys, with most respondents specializing in adult nephrology. Although respondents generally acknowledged the clinical use of genomic resources, varying levels of perceived knowledge and self-efficacy were evident regarding precision nephrology workflows. Barriers to genetic testing included cost/insurance coverage and limited genomics experience. Conclusion The study illuminates specific hurdles nephrologists face using genomic resources. The findings are a valuable contribution to genomic implementation research, highlighting the significance of developing tailored interventions to support clinicians in using genomic resources effectively. These findings can guide the future development of CDS systems in the EHR. Addressing unmet informational and workflow support needs can enhance the integration of genomics into clinical practice, advancing personalized nephrology care and improving kidney disease outcomes. Further research should focus on interventions promoting seamless precision nephrology care integration.
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Affiliation(s)
| | - Teena Zachariah
- Division of Nephrology, Department of Medicine, Columbia University, New York, USA
| | - Wooin Ahn
- Division of Nephrology, Department of Medicine, Columbia University, New York, USA
| | - Atlas Khan
- Division of Nephrology, Department of Medicine, Columbia University, New York, USA
| | - Krzysztof Kiryluk
- Division of Nephrology, Department of Medicine, Columbia University, New York, USA
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Columbia University, New York, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA
| | - Chunhua Weng
- Department of Biomedical Informatics, Columbia University, New York, USA
| | - Ali G. Gharavi
- Division of Nephrology, Department of Medicine, Columbia University, New York, USA
- Institute for Genomic Medicine, Columbia University, Hammer Health Sciences, New York, USA
| | - Jordan G. Nestor
- Division of Nephrology, Department of Medicine, Columbia University, New York, USA
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McIntosh T, Walsh H, Baldwin K, Iltis A, Mohan S, Sawinski D, Goodman M, DuBois JM. Evaluating ApoL1 Genetic Testing Policy Options for Transplant Centers: A Delphi Consensus Panel Project with Stakeholders. Clin J Am Soc Nephrol 2024; 19:494-502. [PMID: 38190141 PMCID: PMC11020447 DOI: 10.2215/cjn.0000000000000397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 12/26/2023] [Indexed: 01/09/2024]
Abstract
BACKGROUND Apolipoprotein L1 (ApoL1) variants G1 and G2 are associated with a higher risk of kidney disease. ApoL1 risk variants are predominantly seen in individuals with sub-Saharan African ancestry. In most transplant centers, potential organ donors are being selectively genetically tested for ApoL1 risk variants. Transplant programs have highly variable ApoL1 testing practices and need guidance on essential ApoL1 clinical policy questions. METHODS We conducted a Delphi consensus panel focused on ApoL1 clinical policy questions, including who gets tested, who decides whether testing occurs, how test results are shared, who receives test results, and how test results are used. A total of 27 panelists across seven stakeholder groups participated: living kidney donors ( n =4), deceased donor family members ( n =3), recipients of a deceased donor kidney ( n =4), recipients of a living donor kidney ( n =4), nephrologists ( n =4), transplant surgeons ( n =4), and genetic counselors ( n =4). Nineteen panelists (70%) identified as Black. The Delphi panel process involved two rounds of educational webinars and three rounds of surveys administered to panelists, who were asked to indicate whether they support, could live with, or oppose each policy option. RESULTS The panel reached consensus on one or more acceptable policy options for each clinical policy question; panelists supported 18 policy options and opposed 15. Key elements of consensus include the following: ask potential donors about African ancestry rather than race; make testing decisions only after discussion with donors; encourage disclosure of test results to blood relatives and organ recipients but do not require it; use test results to inform decision making, but never for unilateral decisions by transplant programs. CONCLUSIONS The panel generally supported policy options involving discussion and shared decision making among patients, donors, and family stakeholders. There was general opposition to unilateral decision making and prohibiting donation altogether.
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Affiliation(s)
- Tristan McIntosh
- Bioethics Resaerch Center, Washington University School of Medicine, St. Louis, Missouri
| | - Heidi Walsh
- Bioethics Resaerch Center, Washington University School of Medicine, St. Louis, Missouri
| | - Kari Baldwin
- Bioethics Resaerch Center, Washington University School of Medicine, St. Louis, Missouri
| | - Ana Iltis
- Center for Bioethics, Health and Society, Wake Forest University, Winston-Salem, North Carolina
| | - Sumit Mohan
- Mailman School of Public Health, Columbia University, New York, New York
| | | | - Melody Goodman
- School of Global Public Health, New York University, New York, New York
| | - James M. DuBois
- Bioethics Resaerch Center, Washington University School of Medicine, St. Louis, Missouri
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Smith JD, Agrawal A, Wicklund C, Duquette D, Friedewald J, Rasmussen LV, Gacki-Smith J, Tandon SD, Muhammad LN, Yancy CW, Dong S, Cooper M, Gilbert A, Shetty A, Gordon EJ. Implementation of a culturally competent APOL1 genetic testing programme into living donor evaluation: A two-site, non-randomised, pre-post trial design. BMJ Open 2023; 13:e067657. [PMID: 37188469 PMCID: PMC10186444 DOI: 10.1136/bmjopen-2022-067657] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 04/14/2023] [Indexed: 05/17/2023] Open
Abstract
INTRODUCTION While living donor (LD) kidney transplantation is the optimal treatment for patients with kidney failure, LDs assume a higher risk of future kidney failure themselves. LDs of African ancestry have an even greater risk of kidney failure post-donation than White LDs. Because evidence suggests that Apolipoprotein L1 (APOL1) risk variants contribute to this greater risk, transplant nephrologists are increasingly using APOL1 genetic testing to evaluate LD candidates of African ancestry. However, nephrologists do not consistently perform genetic counselling with LD candidates about APOL1 due to a lack of knowledge and skill in counselling. Without proper counselling, APOL1 testing will magnify LD candidates' decisional conflict about donating, jeopardising their informed consent. Given cultural concerns about genetic testing among people of African ancestry, protecting LD candidates' safety is essential to improve informed decisions about donating. Clinical 'chatbots', mobile apps that provide genetic information to patients, can improve informed treatment decisions. No chatbot on APOL1 is available and no nephrologist training programmes are available to provide culturally competent counselling to LDs about APOL1. Given the shortage of genetic counsellors, increasing nephrologists' genetic literacy is critical to integrating genetic testing into practice. METHODS AND ANALYSIS Using a non-randomised, pre-post trial design in two transplant centres (Chicago, IL, and Washington, DC), we will evaluate the effectiveness of culturally competent APOL1 testing, chatbot and counselling on LD candidates' decisional conflict about donating, preparedness for decision-making, willingness to donate and satisfaction with informed consent and longitudinally evaluate the implementation of this intervention into clinical practice using the Reach, Effectiveness, Adoption, Implementation and Maintenance framework. ETHICS AND DISSEMINATION This study will create a model for APOL1 testing of LDs of African ancestry, which can be implemented nationally via implementation science approaches. APOL1 will serve as a model for integrating culturally competent genetic testing into transplant and other practices to improve informed consent. This study involves human participants and was approved by Northwestern University IRB (STU00214038). Participants gave informed consent to participate in the study before taking part. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT04910867. Registered 8 May 2021, https://register. CLINICALTRIALS gov/prs/app/action/SelectProtocol?sid=S000AWZ6&selectaction=Edit&uid=U0001PPF&ts=7&cx=-8jv7m2 ClinicalTrials.gov Identifier: NCT04999436. Registered 5 November 2021, https://register. CLINICALTRIALS gov/prs/app/action/SelectProtocol?sid=S000AYWW&selectaction=Edit&uid=U0001PPF&ts=11&cx=9tny7v.
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Affiliation(s)
- Justin D Smith
- Department of Population Health Sciences, Spencer Fox Eccles School of Medicine at the University of Utah, Salt Lake City, Utah, USA
- Departments of Psychiatry and Behavioral Sciences and Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Akansha Agrawal
- Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Catherine Wicklund
- Obstetrics and Gynecology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Debra Duquette
- Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - John Friedewald
- Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Luke V Rasmussen
- Division of Health and Biomedical Informatics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Jessica Gacki-Smith
- Center for Health Services and Outcomes Research, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - S Darius Tandon
- Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Lutfiyya N Muhammad
- Department of Preventive Medicine-Division of Biostatistics, Northwestern University, Chicago, Illinois, USA
| | - Clyde W Yancy
- Department of Medicine-Division of Cardiology, Northwestern University, Evanston, Illinois, USA
| | - Siyuan Dong
- Department of Preventive Medicine-Division of Biostatistics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Matthew Cooper
- Surgery, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Alexander Gilbert
- Medicine, Georgetown University Medical Center, Washington, District of Columbia, USA
| | - Aneesha Shetty
- Medicine, The University of Arizona College of Medicine Tucson, Tucson, Arizona, USA
| | - Elisa J Gordon
- Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Aron AW, Dahl NK, Besse W. A Practical Guide to Genetic Testing for Kidney Disorders of Unknown Etiology. KIDNEY360 2022; 3:1640-1651. [PMID: 36245662 PMCID: PMC9528385 DOI: 10.34067/kid.0007552021] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 07/08/2022] [Indexed: 01/18/2023]
Abstract
Genetic testing is increasingly used in the workup and diagnosis of kidney disease and kidney-related disorders of undetermined cause. Out-of-pocket costs for clinical genetic testing have become affordable, and logistical hurdles overcome. The interest in genetic testing may stem from the need to make or confirm a diagnosis, guide management, or the patient's desire to have a more informed explanation or prognosis. This poses a challenge for providers who do not have formal training in the selection, interpretation, and limitations of genetic tests. In this manuscript, we provide detailed discussion of relevant cases in which clinical genetic testing using a kidney gene panel was applied. The cases demonstrate identification of pathogenic variants for monogenic diseases-contrasting them from genetic risk alleles-and bring up diagnostic limitations and diagnostic utility of these tests in nephrology. This review aims to guide clinicians in formulating pretest conversations with their patients, interpreting genetic variant nomenclature, and considering follow-up investigations. Although providers are gaining experience, there is still risk of testing causing more anxiety than benefit. However, with provider education and support, clinical genetic testing applied to otherwise unexplained kidney-related disorders will increasingly serve as a valuable diagnostic tool with the potential to reshape how we consider and treat many kidney-related diagnoses.
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Affiliation(s)
- Abraham W. Aron
- Section of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Neera K. Dahl
- Section of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Whitney Besse
- Section of Nephrology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
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