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Watts GF, Gidding SS, Hegele RA, Raal FJ, Sturm AC, Jones LK, Sarkies MN, Al-Rasadi K, Blom DJ, Daccord M, de Ferranti SD, Folco E, Libby P, Mata P, Nawawi HM, Ramaswami U, Ray KK, Stefanutti C, Yamashita S, Pang J, Thompson GR, Santos RD. International Atherosclerosis Society guidance for implementing best practice in the care of familial hypercholesterolaemia. Nat Rev Cardiol 2023; 20:845-869. [PMID: 37322181 DOI: 10.1038/s41569-023-00892-0] [Citation(s) in RCA: 51] [Impact Index Per Article: 51.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/12/2023] [Indexed: 06/17/2023]
Abstract
This contemporary, international, evidence-informed guidance aims to achieve the greatest good for the greatest number of people with familial hypercholesterolaemia (FH) across different countries. FH, a family of monogenic defects in the hepatic LDL clearance pathway, is a preventable cause of premature coronary artery disease and death. Worldwide, 35 million people have FH, but most remain undiagnosed or undertreated. Current FH care is guided by a useful and diverse group of evidence-based guidelines, with some primarily directed at cholesterol management and some that are country-specific. However, none of these guidelines provides a comprehensive overview of FH care that includes both the lifelong components of clinical practice and strategies for implementation. Therefore, a group of international experts systematically developed this guidance to compile clinical strategies from existing evidence-based guidelines for the detection (screening, diagnosis, genetic testing and counselling) and management (risk stratification, treatment of adults or children with heterozygous or homozygous FH, therapy during pregnancy and use of apheresis) of patients with FH, update evidence-informed clinical recommendations, and develop and integrate consensus-based implementation strategies at the patient, provider and health-care system levels, with the aim of maximizing the potential benefit for at-risk patients and their families worldwide.
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Affiliation(s)
- Gerald F Watts
- School of Medicine, University of Western Australia, Perth, WA, Australia.
- Departments of Cardiology and Internal Medicine, Royal Perth Hospital, Perth, WA, Australia.
| | | | - Robert A Hegele
- Department of Medicine and Robarts Research Institute, Schulich School of Medicine, Western University, London, ON, Canada
| | - Frederick J Raal
- Department of Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Amy C Sturm
- Department of Genomic Health, Geisinger, Danville, PA, USA
- 23andMe, Sunnyvale, CA, USA
| | - Laney K Jones
- Department of Genomic Health, Geisinger, Danville, PA, USA
| | - Mitchell N Sarkies
- School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Khalid Al-Rasadi
- Medical Research Centre, College of Medicine and Health Sciences, Sultan Qaboos University, Muscat, Oman
| | - Dirk J Blom
- Division of Lipidology and Cape Heart Institute, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | | | | | | | - Peter Libby
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Pedro Mata
- Fundación Hipercolesterolemia Familiar, Madrid, Spain
| | - Hapizah M Nawawi
- Institute of Pathology, Laboratory and Forensic Medicine (I-PPerForM) and Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh, Selangor, Malaysia
- Specialist Lipid and Coronary Risk Prevention Clinics, Hospital Al-Sultan Abdullah (HASA) and Clinical Training Centre, Puncak Alam and Sungai Buloh Campuses, Universiti Teknologi MARA, Sungai Buloh, Selangor, Malaysia
| | - Uma Ramaswami
- Royal Free London NHS Foundation Trust, University College London, London, UK
| | - Kausik K Ray
- Imperial Centre for Cardiovascular Disease Prevention, Imperial College London, London, UK
| | - Claudia Stefanutti
- Department of Molecular Medicine, Extracorporeal Therapeutic Techniques Unit, Lipid Clinic and Atherosclerosis Prevention Centre, Regional Centre for Rare Diseases, Immunohematology and Transfusion Medicine, Umberto I Hospital, 'Sapienza' University of Rome, Rome, Italy
| | - Shizuya Yamashita
- Department of Cardiology, Rinku General Medical Center, Osaka, Japan
| | - Jing Pang
- School of Medicine, University of Western Australia, Perth, WA, Australia
| | | | - Raul D Santos
- Lipid Clinic, Heart Institute (InCor), University of São Paulo, São Paulo, Brazil
- Hospital Israelita Albert Einstein, São Paulo, Brazil
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Longoni M, Bhasin K, Ward A, Lee D, Nisson M, Bhatt S, Rodriguez F, Dash R. Real-world utilization of guideline-directed genetic testing in inherited cardiovascular diseases. Front Cardiovasc Med 2023; 10:1272433. [PMID: 37915745 PMCID: PMC10616303 DOI: 10.3389/fcvm.2023.1272433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 09/29/2023] [Indexed: 11/03/2023] Open
Abstract
Background Cardiovascular disease continues to be the leading cause of death globally. Clinical practice guidelines aimed at improving disease management and positively impacting major cardiac adverse events recommend genetic testing for inherited cardiovascular conditions such as dilated cardiomyopathy (DCM), hypertrophic cardiomyopathy (HCM), long QT syndrome (LQTS), hereditary amyloidosis, and familial hypercholesterolemia (FH); however, little is known about how consistently practitioners order genetic testing for these conditions in routine clinical practice. This study aimed to assess the adoption of guideline-directed genetic testing for patients diagnosed with DCM, HCM, LQTS, hereditary amyloidosis, or FH. Methods This retrospective cohort study captured real-world evidence of genetic testing from ICD-9-CM and ICD-10-CM codes, procedure codes, and structured text fields of de-identified patient records in the Veradigm Health Insights Ambulatory EHR Research Database linked with insurance claims data. Data analysis was conducted using an automated electronic health record analysis engine. Patient records in the Veradigm database were sourced from more than 250,000 clinicians serving over 170 million patients in outpatient primary care and specialty practice settings in the United States and linked insurance claims data from public and private insurance providers. The primary outcome measure was evidence of genetic testing within six months of condition diagnosis. Results Between January 1, 2017, and December 31, 2021, 224,641 patients were newly diagnosed with DCM, HCM, LQTS, hereditary amyloidosis, or FH and included in this study. Substantial genetic testing care gaps were identified. Only a small percentage of patients newly diagnosed with DCM (827/101,919; 0.8%), HCM (253/15,507; 1.6%), LQTS (650/56,539; 1.2%), hereditary amyloidosis (62/1,026; 6.0%), or FH (718/49,650; 1.5%) received genetic testing. Conclusions Genetic testing is underutilized across multiple inherited cardiovascular conditions. This real-world data analysis provides insights into the delivery of genomic healthcare in the United States and suggests genetic testing guidelines are rarely followed in practice.
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Affiliation(s)
- Mauro Longoni
- Global Medical Affairs Organization, Illumina, Inc., San Diego, CA, United States
| | | | | | | | | | - Sucheta Bhatt
- Global Medical Affairs Organization, Illumina, Inc., San Diego, CA, United States
| | - Fatima Rodriguez
- HealthPals Inc., Redwood, CA, United States
- Division of Cardiovascular Medicine and Cardiovascular Institute, Stanford University, Stanford, CA, United States
| | - Rajesh Dash
- HealthPals Inc., Redwood, CA, United States
- Division of Cardiovascular Medicine and Cardiovascular Institute, Stanford University, Stanford, CA, United States
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Griffith N, Bigham G, Sajja A, Gluckman TJ. Leveraging Healthcare System Data to Identify High-Risk Dyslipidemia Patients. Curr Cardiol Rep 2022; 24:1387-1396. [PMID: 35994196 DOI: 10.1007/s11886-022-01767-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/03/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE OF REVIEW While randomized controlled trials have historically served as the gold standard for shaping guideline recommendations, real-world data are increasingly being used to inform clinical decision-making. We describe ways in which healthcare systems are generating real-world data related to dyslipidemia and how these data are being leveraged to improve patient care. RECENT FINDINGS The electronic medical record has emerged as a major source of clinical data, which alongside claims and pharmacy dispending data is enabling healthcare systems the ability to identify care gaps (underdiagnosis and undertreatment) in patients with dyslipidemia. Availability of this data also allows healthcare systems the ability to test and deliver interventions at the point-of-care. Real-world data possess great potential as a complement to randomized controlled trials. Healthcare systems are uniquely positioned to not only define care gaps and areas of opportunity, but to also to leverage tools (e.g., clinical decision support, case identification) aimed at closing them.
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Affiliation(s)
- Nayrana Griffith
- Department of Internal Medicine, Medstar Georgetown University Hospital, Washington, DC, USA.
| | - Grace Bigham
- Department of Internal Medicine, Medstar Georgetown University Hospital, Washington, DC, USA
| | - Aparna Sajja
- Division of Cardiology, Medstar Georgetown University Hospital-Washington Hospital Center, Washington, DC, USA
| | - Ty J Gluckman
- Center for Cardiovascular Analytics, Research and Data Science (CARDS), Providence Heart Institute, Providence Research Network, Portland, OR, USA
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