Lessening the Burden of Familial Hypercholesterolemia Using Health Information Technology
2018; Lippincott Williams & Wilkins; Volume: 122; Issue: 1 Linguagem: Inglês
10.1161/circresaha.117.312319
ISSN1524-4571
AutoresMaya Safarova, Iftikhar J. Kullo,
Tópico(s)Health Systems, Economic Evaluations, Quality of Life
ResumoHomeCirculation ResearchVol. 122, No. 1Lessening the Burden of Familial Hypercholesterolemia Using Health Information Technology Free AccessArticle CommentaryPDF/EPUBAboutView PDFView EPUBSections ToolsAdd to favoritesDownload citationsTrack citationsPermissions ShareShare onFacebookTwitterLinked InMendeleyReddit Jump toFree AccessArticle CommentaryPDF/EPUBLessening the Burden of Familial Hypercholesterolemia Using Health Information Technology Maya S. Safarova and Iftikhar J. Kullo Maya S. SafarovaMaya S. Safarova From the Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN. and Iftikhar J. KulloIftikhar J. Kullo From the Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN. Originally published5 Jan 2018https://doi.org/10.1161/CIRCRESAHA.117.312319Circulation Research. 2018;122:26–27Despite advances in our understanding of heritable lipid disorders and the availability of highly effective lipid-lowering drugs, the awareness, detection, and control of familial hypercholesterolemia (FH) remain suboptimal.1A major reason for the low detection rate in the United States is the lack of a widely accepted screening strategy, despite the recommendations for universal or targeted lipid screening by several expert panels.Although theuse of universal lipid screening remains a matter of debate, cascade screening (a form of targeted screening of family members of affected individuals) is acknowledged as the most cost-effective screening strategy for FH. In the Netherlands >26 000 new cases were identified over 2 decades by genotyping family members of FH probands, and it is estimated that genetic cascade screening, coupled with statin therapy for diagnosed patients, could save $92 million per year in the European Union.1Several factors lead to the low rates of cascade screening for FH in the United States. First, no nationwide strategy for the early detection of FH exists. Second, the low acceptance of genetic testing for FH in the United States is an impediment to unambiguous diagnosis and cascade screening. Third, patients and family members are often concerned about the stigma associated with genetic diagnoses. Fourth, because of the Health Insurance Portability and Accountability Act, disclosing the risk of genetic disease to family members can incur liability, even if this knowledge leads to early detection and treatment. Fifth, practitioners have poor awareness about FH and often are unable to implement recommended therapies and cascade screening. In this commentary, we discuss how health information technology, the internet, and social media could be harnessed to overcome these barriers (Figure).Download figureDownload PowerPointFigure. Use of health information technology, internet, and social media to increase awareness, detection, and control of familial hypercholesterolemia (FH). Electronic health record (EHR) strategies (including automated detection by electronic phenotyping algorithms with linkage to clinical decision support and decision aids to promote shared decision making), the internet, social media, and mobile devices can be leveraged: (1) to increase awareness, detection, and control of FH; (2) to inform family members and; (3) for public outreach and education. The major stakeholders include patients, family members and the community, patient care and population health teams. The available modes of screening are opportunistic, cascade, and universal. DTC indicates direct to consumer.Lack of a National Cascade Screening ProgramAlthough the Office of Public Health Genomics at the Centers for Disease Control and Prevention has prioritized the detection of prevalent and actionable (ie, tier 1) genetic disorders such as FH, there are no formal guidelines or recommendations for cascade testing for FH in the United States.2 Health Information Exchanges that link medical centers to local and regional public health agencies can facilitate case detection and subsequent cascade screening (Figure). The awareness and acceptance of such programs by the general public could be promoted through the internet and social media.Limited Use of Genetic TestingGenetic testing is useful for confirming diagnosis in the proband and then identifying family members with FH. The acceptance of genetic testing for FH in the United States has been poor, partly because genetic counseling and testing for FH is not always readily available; furthermore, testing is often expensive and inconsistently covered by payers. Electronic health record (EHR)–based alerts could suggest genetic testing for FH in the appropriate clinical setting. Because the cost of genomic sequencing continues to decrease, relatively low-cost screening panels for genetic disorders are becoming available directly to the consumer on the internet, with access to a genetic counselor and the option for follow-up testing in family members. An important caveat is that a significant proportion of FH patients do not have an identifiable pathogenic variant, and in such cases, relatives have to be screened with a lipid profile.Patient Concerns About Genetic DiagnosesPatients may be concerned about stigmatization after a genetic diagnosis and potential implications for employment and health insurance coverage. They are often unaware that the Genetic Information Nondiscrimination Act of 2008 prohibits unauthorized disclosure of genetic test results to their employer to prevent discrimination on the basis of that information (such protection, however, does not extend to life or disability insurance). Education of patients and care providers including through links in the EHR, patient portals, internet, and social media may promote genetic literacy, increase awareness about the rationale for genetic testing for FH, and lessen the potential for discrimination.Challenges in Cascade Screening of Family MembersCascade screening requires balancing privacy of individuals undergoing genetic testing and the need to notify family members of actionable genetic information; testing relatives of a proband is not allowed unless they are registered as patients. Direct contact of family members by healthcare providers seems to be more effective than contact by the proband, and this approach could be implemented with the proband's consent.3 If the proband refuses consent and is also unwilling to inform family members, some would argue that the healthcare provider should directly contact family members.4 There is a need to establish methods for contacting family members that are acceptable to probands and their at-risk family members and to reduce the burden of notification on the patients and care providers. The latter could be facilitated by innovative software applications that allow sharing of relevant health information among family members through mobile devices or by permitting proxy access to the family history section of EHRs. Improved EHR interoperability will enable identification and contact of at-risk relatives, but such data sharing will require the engagement of an informed general public and the medical community.Low Awareness, Detection, and Control of FHIncreased physician awareness of FH would enable them to target the interview and physical examination to make the diagnosis of FH. In particular, a family history of early-onset coronary heart disease or hypercholesterolemia is an important clue to the presence of FH and should be routinely elicited. Healthcare providers could also ascertain whether a patient meets the diagnostic criteria for FH using available apps. Automated detection of FH using an electronic phenotyping algorithm (www.phekb.org) can increase the proportion of FH patients who receive the diagnosis.5 Documenting family history as a structured data element in the EHR and using available diagnostic codes for FH will increase the accuracy of such algorithms. Case detection should be linked to clinical decision support to provide guidance to busy practitioners for evaluating and managing FH at the point of care and thereby increasing awareness, detection, and control of FH (Figure).6 In addition, FH-specific decision aids in the EHR may facilitate shared decision making regarding drug treatments and screening of family members.In conclusion, advances in genomics have had relatively limited impact on public health, to date. FH is an example of a prevalent and easily treated genetic disorder with persisting gaps in detection and treatment. There is an opportunity to bring precision medicine to public health by establishing partnerships at the federal, state, and local levels among various stakeholders. Health information technology, the internet, and social media will be vital to the success of initiatives to reduce the burden of FH.Sources of FundingThis work was funded by grants HL135879 and HG06379, and AHA 16POST27280004.DisclosuresDr Kullo is a consultant for Color Genomics. The other author reports no conflicts.FootnotesThe opinions expressed in this article are not necessarily those of the editors or of the American Heart Association.Correspondence to Iftikhar J. Kullo, MD, Department of Cardiovascular Diseases and the Gonda Vascular Center, Mayo Clinic, 200 First St SW, Rochester, MN 55905. E-mail [email protected]References1. Nordestgaard BG, Chapman MJ, Humphries SE, et al; European Atherosclerosis Society Consensus Panel. Familial hypercholesterolaemia is underdiagnosed and undertreated in the general population: guidance for clinicians to prevent coronary heart disease: consensus statement of the European Atherosclerosis Society.Eur Heart J. 2013; 34:3478a–3390a. doi: 10.1093/eurheartj/eht273.CrossrefMedlineGoogle Scholar2. Knowles JW, Rader DJ, Khoury MJ. Cascade screening for familial hypercholesterolemia and the use of genetic testing.JAMA. 2017; 318:381–382. doi: 10.1001/jama.2017.8543.CrossrefMedlineGoogle Scholar3. Newson AJ, Humphries SE. Cascade testing in familial hypercholesterolaemia: how should family members be contacted?Eur J Hum Genet. 2005; 13:401–408. doi: 10.1038/sj.ejhg.5201360.CrossrefMedlineGoogle Scholar4. Knoppers BM, Joly Y, Simard J, Durocher F. The emergence of an ethical duty to disclose genetic research results: international perspectives.Eur J Hum Genet. 2006; 14:1170–1178. doi: 10.1038/sj.ejhg.5201690.CrossrefMedlineGoogle Scholar5. Safarova MS, Liu H, Kullo IJ. Rapid identification of familial hypercholesterolemia from electronic health records: the SEARCH study.J Clin Lipidol. 2016; 10:1230–1239. doi: 10.1016/j.jacl.2016.08.001.CrossrefMedlineGoogle Scholar6. Kullo IJ, Jarvik GP, Manolio TA, Williams MS, Roden DM. Leveraging the electronic health record to implement genomic medicine.Genet Med. 2013; 15:270–271. doi: 10.1038/gim.2012.131.CrossrefMedlineGoogle Scholar Previous Back to top Next FiguresReferencesRelatedDetailsCited By Persson Lindell O, Karlsson L, Nilsson S, Charitakis E, Hagström E, Muhr T, Nilsson L, Henriksson M and Janzon M (2022) Clinical decision support for familial hypercholesterolemia (CDS-FH): Rationale and design of a cluster randomized trial in primary care, American Heart Journal, 10.1016/j.ahj.2022.02.005, 247, (132-148), Online publication date: 1-May-2022. Bangash H, Makkawy A, Gundelach J, Miller A, Jacobson K and Kullo I (2022) Web-Based Tool (FH Family Share) to Increase Uptake of Cascade Testing for Familial Hypercholesterolemia: Development and Evaluation, JMIR Human Factors, 10.2196/32568, 9:1, (e32568) Jackson C, Huschka T, Borah B, Agre K, Zordok M, Farwati M, Moriarty J and Kullo I (2021) Cost-effectiveness of cascade genetic testing for familial hypercholesterolemia in the United States: A simulation analysis, American Journal of Preventive Cardiology, 10.1016/j.ajpc.2021.100245, 8, (100245), Online publication date: 1-Dec-2021. 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Hendricks-Sturrup R, Mazor K, Sturm A and Lu C (2019) Barriers and Facilitators to Genetic Testing for Familial Hypercholesterolemia in the United States: A Review, Journal of Personalized Medicine, 10.3390/jpm9030032, 9:3, (32) Paragh G, Harangi M, Karányi Z, Daróczy B, Németh Á and Fülöp P (2018) Identifying patients with familial hypercholesterolemia using data mining methods in the Northern Great Plain region of Hungary, Atherosclerosis, 10.1016/j.atherosclerosis.2018.05.039, 277, (262-266), Online publication date: 1-Oct-2018. Hasnie A, Kumbamu A, Safarova M, Caraballo P and Kullo I (2018) A Clinical Decision Support Tool for Familial Hypercholesterolemia Based on Physician Input, Mayo Clinic Proceedings: Innovations, Quality & Outcomes, 10.1016/j.mayocpiqo.2018.03.006, 2:2, (103-112), Online publication date: 1-Jun-2018. Schwiter R, Rahm A, Williams J and Sturm A (2018) How Can We Reach At-Risk Relatives? Efforts to Enhance Communication and Cascade Testing Uptake: a Mini-Review, Current Genetic Medicine Reports, 10.1007/s40142-018-0134-0, 6:2, (21-27), Online publication date: 1-Jun-2018. January 5, 2018Vol 122, Issue 1 Advertisement Article InformationMetrics © 2017 American Heart Association, Inc.https://doi.org/10.1161/CIRCRESAHA.117.312319PMID: 29301842 Originally publishedJanuary 5, 2018 Keywordsgenotypehypercholesterolemiagenomicshealth policygenetic testingPDF download Advertisement SubjectsGeneticsOmicsPrecision Medicine
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