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Qureshi N, Woods B, Neves de Faria R, Saramago Goncalves P, Cox E, Leonardi Bee J, Condon L, Weng S, Akyea RK, Iyen B, Roderick P, Humphries SE, Rowlands W, Watson M, Haralambos K, Kenny R, Datta D, Miedzybrodzka Z, Byrne C, Kai J. Alternative cascade-testing protocols for identifying and managing patients with familial hypercholesterolaemia: systematic reviews, qualitative study and cost-effectiveness analysis. Health Technol Assess 2023; 27:1-140. [PMID: 37924278 PMCID: PMC10658348 DOI: 10.3310/ctmd0148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2023] Open
Abstract
Background Cascade testing the relatives of people with familial hypercholesterolaemia is an efficient approach to identifying familial hypercholesterolaemia. The cascade-testing protocol starts with identifying an index patient with familial hypercholesterolaemia, followed by one of three approaches to contact other relatives: indirect approach, whereby index patients contact their relatives; direct approach, whereby the specialist contacts the relatives; or a combination of both direct and indirect approaches. However, it is unclear which protocol may be most effective. Objectives The objectives were to determine the yield of cases from different cascade-testing protocols, treatment patterns, and short- and long-term outcomes for people with familial hypercholesterolaemia; to evaluate the cost-effectiveness of alternative protocols for familial hypercholesterolaemia cascade testing; and to qualitatively assess the acceptability of different cascade-testing protocols to individuals and families with familial hypercholesterolaemia, and to health-care providers. Design and methods This study comprised systematic reviews and analysis of three data sets: PASS (PASS Software, Rijswijk, the Netherlands) hospital familial hypercholesterolaemia databases, the Clinical Practice Research Datalink (CPRD)-Hospital Episode Statistics (HES) linked primary-secondary care data set, and a specialist familial hypercholesterolaemia register. Cost-effectiveness modelling, incorporating preceding analyses, was undertaken. Acceptability was examined in interviews with patients, relatives and health-care professionals. Result Systematic review of protocols: based on data from 4 of the 24 studies, the combined approach led to a slightly higher yield of relatives tested [40%, 95% confidence interval (CI) 37% to 42%] than the direct (33%, 95% CI 28% to 39%) or indirect approaches alone (34%, 95% CI 30% to 37%). The PASS databases identified that those contacted directly were more likely to complete cascade testing (p < 0.01); the CPRD-HES data set indicated that 70% did not achieve target treatment levels, and demonstrated increased cardiovascular disease risk among these individuals, compared with controls (hazard ratio 9.14, 95% CI 8.55 to 9.76). The specialist familial hypercholesterolaemia register confirmed excessive cardiovascular morbidity (standardised morbidity ratio 7.17, 95% CI 6.79 to 7.56). Cost-effectiveness modelling found a net health gain from diagnosis of -0.27 to 2.51 quality-adjusted life-years at the willingness-to-pay threshold of £15,000 per quality-adjusted life-year gained. The cost-effective protocols cascaded from genetically confirmed index cases by contacting first- and second-degree relatives simultaneously and directly. Interviews found a service-led direct-contact approach was more reliable, but combining direct and indirect approaches, guided by index patients and family relationships, may be more acceptable. Limitations Systematic reviews were not used in the economic analysis, as relevant studies were lacking or of poor quality. As only a proportion of those with primary care-coded familial hypercholesterolaemia are likely to actually have familial hypercholesterolaemia, CPRD analyses are likely to underestimate the true effect. The cost-effectiveness analysis required assumptions related to the long-term cardiovascular disease risk, the effect of treatment on cholesterol and the generalisability of estimates from the data sets. Interview recruitment was limited to white English-speaking participants. Conclusions Based on limited evidence, most cost-effective cascade-testing protocols, diagnosing most relatives, select index cases by genetic testing, with services directly contacting relatives, and contacting second-degree relatives even if first-degree relatives have not been tested. Combined approaches to contact relatives may be more suitable for some families. Future work Establish a long-term familial hypercholesterolaemia cohort, measuring cholesterol levels, treatment and cardiovascular outcomes. Conduct a randomised study comparing different approaches to contact relatives. Study registration This study is registered as PROSPERO CRD42018117445 and CRD42019125775. Funding This project was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 27, No. 16. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Nadeem Qureshi
- PRISM Research Group, Centre for Academic Primary Care, School of Medicine, University of Nottingham, Nottingham, UK
| | - Bethan Woods
- Centre for Health Economics, University of York, York, UK
| | | | | | - Edward Cox
- Centre for Health Economics, University of York, York, UK
| | - Jo Leonardi Bee
- PRISM Research Group, Centre for Academic Primary Care, School of Medicine, University of Nottingham, Nottingham, UK
| | - Laura Condon
- PRISM Research Group, Centre for Academic Primary Care, School of Medicine, University of Nottingham, Nottingham, UK
| | - Stephen Weng
- Cardiovascular and Metabolism, Janssen Research and Development, High Wycombe, UK
| | - Ralph K Akyea
- PRISM Research Group, Centre for Academic Primary Care, School of Medicine, University of Nottingham, Nottingham, UK
| | - Barbara Iyen
- PRISM Research Group, Centre for Academic Primary Care, School of Medicine, University of Nottingham, Nottingham, UK
| | - Paul Roderick
- Primary Care, Population Sciences and Medical Education, University of Southampton, Southampton, UK
| | - Steve E Humphries
- Centre for Cardiovascular Genetics, Institute for Cardiovascular Science, University College London, London, UK
| | | | - Melanie Watson
- Wessex Clinical Genetics Service, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Kate Haralambos
- Familial Hypercholesterolaemia Service, University Hospital of Wales, Cardiff, UK
| | - Ryan Kenny
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Dev Datta
- Lipid Unit, University Hospital Llandough, Penarth, UK
| | | | - Christopher Byrne
- Southampton National Institute for Health and Care Research Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Joe Kai
- PRISM Research Group, Centre for Academic Primary Care, School of Medicine, University of Nottingham, Nottingham, UK
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2
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Latkovskis G, Rescenko-Krums R, Nesterovics G, Briviba M, Saripo V, Gilis D, Terauda E, Meiere R, Skudrina G, Erglis A, Chora JR, Bourbon M, Klovins J. Genetic Characteristics of Latvian Patients with Familial Hypercholesterolemia: The First Analysis from Genome-Wide Sequencing. J Clin Med 2023; 12:5160. [PMID: 37568561 PMCID: PMC10419451 DOI: 10.3390/jcm12155160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 07/14/2023] [Accepted: 08/01/2023] [Indexed: 08/13/2023] Open
Abstract
BACKGROUND There is limited data on the genetic characteristics of patients with familial hypercholesterolemia (FH) in Latvia. We aim to describe monogenic variants in patients from the Latvian Registry of FH (LRFH). METHODS Whole genome sequencing with 30× coverage was performed in unrelated index cases from the LRFH and the Genome Database of Latvian Population. LDLR, APOB, PCSK9, LDLRAP1, ABCG5, ABCG8, LIPA, LPA, CYP27A1, and APOE genes were analyzed. Only variants annotated as pathogenic (P) or likely pathogenic (LP) using the FH Variant Curation Expert Panel guidelines for LDLR and adaptations for APOB and PCSK9 were reported. RESULTS Among 163 patients, the mean highest documented LDL-cholesterol level was 7.47 ± 1.60 mmol/L, and 79.1% of patients had LDL-cholesterol ≥6.50 mmol/L. A total of 15 P/LP variants were found in 34 patients (diagnostic yield: 20.9%): 14 in the LDLR gene and 1 in the APOB gene. Additionally, 24, 54, and 13 VUS were detected in LDLR, APOB, and PCSK9, respectively. No P/LP variants were identified in the other tested genes. CONCLUSIONS Despite the high clinical likelihood of FH, confirmed P/LP variants were detected in only 20.9% of patients in the Latvian cohort when assessed with genome-wide next generation sequencing.
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Affiliation(s)
- Gustavs Latkovskis
- Institute of Cardiology and Regenerative Medicine, University of Latvia, LV-1004 Riga, Latvia (V.S.); (E.T.)
- Latvian Center of Cardiology, Pauls Stradins Clinical University Hospital, LV-1002 Riga, Latvia
- Faculty of Medicine, University of Latvia, LV-1004 Riga, Latvia
| | | | - Georgijs Nesterovics
- Institute of Cardiology and Regenerative Medicine, University of Latvia, LV-1004 Riga, Latvia (V.S.); (E.T.)
- Latvian Center of Cardiology, Pauls Stradins Clinical University Hospital, LV-1002 Riga, Latvia
- Faculty of Medicine, University of Latvia, LV-1004 Riga, Latvia
| | - Monta Briviba
- Latvian Biomedical Research and Study Centre, LV-1067 Riga, Latvia
| | - Vita Saripo
- Institute of Cardiology and Regenerative Medicine, University of Latvia, LV-1004 Riga, Latvia (V.S.); (E.T.)
- Latvian Center of Cardiology, Pauls Stradins Clinical University Hospital, LV-1002 Riga, Latvia
| | - Dainus Gilis
- Institute of Cardiology and Regenerative Medicine, University of Latvia, LV-1004 Riga, Latvia (V.S.); (E.T.)
- Latvian Center of Cardiology, Pauls Stradins Clinical University Hospital, LV-1002 Riga, Latvia
- Faculty of Medicine, University of Latvia, LV-1004 Riga, Latvia
| | - Elizabete Terauda
- Institute of Cardiology and Regenerative Medicine, University of Latvia, LV-1004 Riga, Latvia (V.S.); (E.T.)
- Latvian Center of Cardiology, Pauls Stradins Clinical University Hospital, LV-1002 Riga, Latvia
- Faculty of Medicine, University of Latvia, LV-1004 Riga, Latvia
| | - Ruta Meiere
- Institute of Cardiology and Regenerative Medicine, University of Latvia, LV-1004 Riga, Latvia (V.S.); (E.T.)
- Latvian Center of Cardiology, Pauls Stradins Clinical University Hospital, LV-1002 Riga, Latvia
| | - Gunda Skudrina
- Institute of Cardiology and Regenerative Medicine, University of Latvia, LV-1004 Riga, Latvia (V.S.); (E.T.)
- Latvian Center of Cardiology, Pauls Stradins Clinical University Hospital, LV-1002 Riga, Latvia
| | - Andrejs Erglis
- Institute of Cardiology and Regenerative Medicine, University of Latvia, LV-1004 Riga, Latvia (V.S.); (E.T.)
- Latvian Center of Cardiology, Pauls Stradins Clinical University Hospital, LV-1002 Riga, Latvia
- Faculty of Medicine, University of Latvia, LV-1004 Riga, Latvia
| | - Joana Rita Chora
- Department of Health Promotion and Prevention of Noncommunicable Diseases, National Institute of Health Dr. Ricardo Jorge, 164-9016 Lisbon, Portugal
- Department of Chemistry and Biochemistry, BioISI—BioSystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisbon, 1649-004 Lisbon, Portugal
| | - Mafalda Bourbon
- Department of Health Promotion and Prevention of Noncommunicable Diseases, National Institute of Health Dr. Ricardo Jorge, 164-9016 Lisbon, Portugal
- Department of Chemistry and Biochemistry, BioISI—BioSystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisbon, 1649-004 Lisbon, Portugal
| | - Janis Klovins
- Latvian Biomedical Research and Study Centre, LV-1067 Riga, Latvia
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Sarkies M, Jones LK, Pang J, Sullivan D, Watts GF. How Can Implementation Science Improve the Care of Familial Hypercholesterolaemia? Curr Atheroscler Rep 2023; 25:133-143. [PMID: 36806760 PMCID: PMC10027803 DOI: 10.1007/s11883-023-01090-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/03/2023] [Indexed: 02/23/2023]
Abstract
PURPOSE OF REVIEW Describe the application of implementation science to improve the detection and management of familial hypercholesterolaemia. RECENT FINDINGS Gaps between evidence and practice, such as underutilization of genetic testing, family cascade testing, failure to achieve LDL-cholesterol goals and low levels of knowledge and awareness, have been identified through clinical registry analyses and clinician surveys. Implementation science theories, models and frameworks have been applied to assess barriers and enablers in the literature specific to local contextual factors (e.g. stages of life). The effect of implementation strategies to overcome these factors has been evaluated; for example, automated identification of individuals with FH or training and education to improve statin adherence. Clinical registries were identified as a key infrastructure to monitor, evaluate and sustain improvements in care. The expansion in evidence supporting the care of familial hypercholesterolaemia requires a similar expansion of efforts to translate new knowledge into clinical practice.
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Affiliation(s)
- Mitchell Sarkies
- School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, 2006, Australia.
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia.
| | - Laney K Jones
- Department of Genomic Health, Research Institute, Geisinger, Danville, PA, USA
- Heart and Vascular Institute, Geisinger, Danville, PA, USA
| | - Jing Pang
- School of Medicine, University of Western Australia, Perth, WA, Australia
| | - David Sullivan
- Department of Chemical Pathology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Gerald F Watts
- School of Medicine, University of Western Australia, Perth, WA, Australia
- Lipid Disorders Clinic, Department of Cardiology, Royal Perth Hospital, Perth, WA, Australia
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Gidding SS, Wiegman A, Groselj U, Freiberger T, Peretti N, Dharmayat KI, Daccord M, Bedlington N, Sikonja J, Ray KK, Santos RD, Halle M, Tokgözoğlu L, Gutiérrez-Ibarluzea I, Pinto FJ, Geanta M. Paediatric familial hypercholesterolaemia screening in Europe: public policy background and recommendations. Eur J Prev Cardiol 2022; 29:2301-2311. [PMID: 36059237 DOI: 10.1093/eurjpc/zwac200] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 09/12/2022] [Accepted: 09/02/2022] [Indexed: 02/01/2023]
Abstract
Familial hypercholesterolaemia (FH) is under-recognized and under-treated in Europe leading to significantly higher risk for premature heart disease in those affected. As treatment beginning early in life is highly effective in preventing heart disease and cost-effective in these patients, screening for FH is crucial. It has therefore now been recognized by the European Commission Public Health Best Practice Portal as an effective strategy. Model programmes exist in Europe to identify young individuals with FH, which are based on cascade screening of first-degree relatives of affected individuals, universal screening for high cholesterol, opportunistic screening of high-risk individuals, or a combination of the above approaches. Recommendations presented herein to improve identification of FH emphasize that every country should have an FH screening programme. These programmes should be adapted from existing strategies to best fit the individual country's healthcare system, governments should provide financial support for these programmes and related care, and further research to optimize care and implementations should be conducted.
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Affiliation(s)
- Samuel S Gidding
- The European FH Patient Network (FH Europe), Star House, Star Hill, Rochester, Kent ME1 1UX, UK
| | - Albert Wiegman
- Department of Paediatrics, Amsterdam University Medical Centers, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Urh Groselj
- Department of Endocrinology, Diabetes, and Metabolic Diseases, University Children's Hospital, University Medical Centre Ljubljana, Bohoričeva ulica 20, Ljubljana, Slovenia
| | - Tomas Freiberger
- Centre for Cardiovascular Surgery and Transplantation, Pekařská 53, 656 91 Brno, Czech Republic.,Medical Faculty, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
| | - Noel Peretti
- Department of Pediatric Gastroenterology-Hepatology and Nutrition, Hospices Civil de Lyon HCL, Hôpital Femme Mere Enfant HFME, Bron, France.,Univ-Lyon, CarMeN Laboratory, INSERM U1060, INRAE U1397, Université Claude Bernard Lyon-1, Oullins, Lyon, France
| | - Kanika I Dharmayat
- Imperial Centre for Cardiovascular Disease Prevention, Department of Primary Care and Public Health, Imperial College London, St Dunstan's Road, London W6 8RP, UK
| | - Magdalena Daccord
- The European FH Patient Network (FH Europe), Star House, Star Hill, Rochester, Kent ME1 1UX, UK
| | - Nicola Bedlington
- The European FH Patient Network (FH Europe), Star House, Star Hill, Rochester, Kent ME1 1UX, UK
| | - Jaka Sikonja
- Department of Endocrinology, Diabetes, and Metabolic Diseases, University Children's Hospital, University Medical Centre Ljubljana, Bohoričeva ulica 20, Ljubljana, Slovenia
| | - Kausik K Ray
- Imperial Centre for Cardiovascular Disease Prevention, Department of Primary Care and Public Health, Imperial College London, St Dunstan's Road, London W6 8RP, UK
| | - Raul D Santos
- Heart Institute (InCor), University of Sao Paulo Medical School Hospital, Sao Paulo, Brazil.,Preventive Medicine Centre and Cardiology Program, Hospital Israelita Albert Einstein, Sao Paulo, Brazil.,International Atherosclerosis Society (IAS), Milan, Italy
| | - Martin Halle
- Department of Prevention and Sports Medicine, Faculty of Medicine, University Hospital 'Klinikum rechts der Isar', Technical University Munich, Munich, Germany.,DZHK (Deutsches Zentrum für Herz-Kreislauf-Forschung), partner site Munich, Munich Heart Alliance, Munich, Germany
| | - Lale Tokgözoğlu
- Department of Cardiology, Hacettepe University, Ankara, Turkey
| | - Iñaki Gutiérrez-Ibarluzea
- Head of Knowledge Management and Health Technology Assessment, Basque Foundation for Health Innovation and Research (BIOEF), Ronda de Azkue, 1, 48902 Barakaldo (Bizkaia), Basque Country, Spain
| | - Fausto J Pinto
- World Heart Federation, Geneva, Switzerland.,Cardiovascular Department, CCUL, CAML, Lisbon School of Medicine, University of Lisbon, Portugal
| | - Marius Geanta
- The European FH Patient Network (FH Europe), Star House, Star Hill, Rochester, Kent ME1 1UX, UK
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Comorbidities with Familial Hypercholesterolemia (FH): A Systematic Review. Curr Probl Cardiol 2022; 48:101109. [PMID: 35007640 DOI: 10.1016/j.cpcardiol.2022.101109] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 01/03/2022] [Indexed: 02/08/2023]
Abstract
Familial hypercholesterolemia (FH) is linked to high levels of low-density lipoprotein cholesterol (LDL-C), atherosclerotic, and aortic stenosis to a lesser extent. We looked at the incidence of prevalent comorbid disorders other than cardiovascular disease (CVD), such as diabetes, chronic kidney disease (CKD), hypertension, and cancer in heterozygous FH (HeFH) patients. PubMed, Web of Science, and Google Scholar were searched systematically for studies reporting comorbidities in FH patients. Finally, 23 studies were included after excluding duplicates, papers with unrelated titles, reviews, abstracts, and papers with not sufficient data. Results showed that among the comorbidities that have been studied; FH patients had a greater prevalence of CKD. In terms of diabetes, the data are inconsistent, with some research indicating a higher prevalence of diabetes in FH patients and mostly indicating the opposite. Polymorphism study showed that hypertension has been linked to FH; however, the prevalence of the hypertensive subjects varies among FH groups. In comparison to the general population, cancer was found to have a lower or similar prevalence in FH patients. More research is needed in this area due to the variability of the results of the relationship between diabetes and FH and the small number of studies on cancer. In conclusion only CKD can be considered as an important and prevalent comorbidity in FH population after CVDs.
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6
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Leonardi-Bee J, Boateng C, Faria R, Eliman K, Young B, Qureshi N. Effectiveness of cascade testing strategies in relatives for familial hypercholesterolemia: A systematic review and meta-analysis. Atherosclerosis 2021; 338:7-14. [PMID: 34753031 DOI: 10.1016/j.atherosclerosis.2021.09.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 09/08/2021] [Accepted: 09/14/2021] [Indexed: 12/20/2022]
Abstract
BACKGROUND AND AIMS Cascade testing in relatives of index cases is the most cost-effective approach to identifying people with familial hypercholesterolemia (FH); however, it is currently unclear which strategy to contact relatives would be the most effective. A systematic review was performed to quantify the effectiveness of different strategies in cascade testing of FH. METHODS Comprehensive searches of three electronic databases and grey literature sources were done (from inception to May 2020). Screening, data extraction and assessments of methodological quality were made independently by two reviewers. Meta-analyses of proportions were performed using random effects models. Effect measures are reported as percentages with 95% confidence intervals. RESULTS 24 non-comparative studies were included, of which 11 used a direct, 8 used an indirect, and 5 used a combination of both direct and indirect cascade strategies. The median number of new relatives with FH per known index case was approximately 1. The combination strategy resulted in the largest yields of relatives tested for FH out of those contacted (40%, 95% CI 37%-42%, 1 study) and relatives responding to testing out of those contacted (54%, 1 study); however, the direct strategy had the largest yield of index cases participating in cascade testing out of those with FH confirmed (94%, 8 studies) compared to other strategies (p ≤ 0.01 for all comparisons). CONCLUSIONS Evidence is limited; however, a combination strategy, which allows the index case to decide on method of contacting relatives, appears to lead to better yields compared to using the direct or indirect strategy.
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Affiliation(s)
- Jo Leonardi-Bee
- Division of Epidemiology and Public Health, School of Medicine, University of Nottingham, UK; Centre for Evidence Based Healthcare, Faculty of Medicine and Health Sciences, University of Nottingham, UK.
| | - Christabel Boateng
- Division of Epidemiology and Public Health, School of Medicine, University of Nottingham, UK
| | - Rita Faria
- Centre for Health Economics, University of York, UK, USA
| | - Kelly Eliman
- Division of Epidemiology and Public Health, School of Medicine, University of Nottingham, UK; Department of Global Public Health, Karolinska Institutet, Sweden
| | - Ben Young
- Division of Epidemiology and Public Health, School of Medicine, University of Nottingham, UK
| | - Nadeem Qureshi
- Division of Primary Care, School of Medicine, University of Nottingham, UK
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7
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Familial Hypercholesterolemia (FH) Registry Worldwide: A Systematic Review. Curr Probl Cardiol 2021; 47:100999. [PMID: 34571102 DOI: 10.1016/j.cpcardiol.2021.100999] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Accepted: 09/14/2021] [Indexed: 12/29/2022]
Abstract
Familial hypercholesterolemia (FH) is the most common genetic disease which accelerates the development of premature coronary artery disease (CAD) in young adults if remains untreated. The overall prevalence of FH is currently unknown and is usually underdiagnosed and undertreated worldwide. FH registry in different geographical area is a mission that helps early diagnosis of FH patients in the general population. PubMed, ISI Web of Science, Scopus, and Google Scholar were searched systematically for studies and reports on the FH registry using related keywords. Finally, 27 studies were included in this review. Most of the studies used the CASCADE screening method based on 1 or more than 1 of the 3 well-established FH criteria namely, the Dutch Lipid Clinic Network, Simon Broome Register, or Make Early Diagnosis to Prevent Early Death criteria. Except for a small number of studies that the genetic and molecular methods were used, in other studies only clinical diagnosis was applied. All these studies claimed that the FH registry causes the identification of many new cases as a result of used CASCADE screening and referral to lipid clinics. They concluded that the FH registry increases general and also physician awareness on FH prevalence and its related complications which in the long-term will improve FH management. This indicates that in other parts of the world, the FH registry should be established as well so that more accurate statistics on the prevalence of this disease can be found worldwide which would help in diagnosis and prevention.
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Mehta R, Martagon AJ, Galan Ramirez GA, Antonio-Villa NE, Vargas-Vázquez A, Elias-Lopez D, Gonzalez-Retana G, Rodríguez-Encinas B, Ceballos-Macías JJ, Romero-Zazueta A, Martinez-Alvarado R, Morales-Portano JD, Alvarez-Lopez H, Sauque-Reyna L, Gomez-Herrera LG, Simental-Mendia LE, Garcia-Aguilar H, Ramirez-Cooremans E, Peña-Aparicio B, Mendoza-Zubieta V, Carrillo-Gonzalez PA, Ferreira-Hermosillo A, Caracas-Portilla N, Jimenez-Dominguez G, Ruiz-Garcia AY, Arriaga-Cazares HE, Gonzalez-Gonzalez JR, Mendez-Valencia CV, Padilla FG, Madriz-Prado R, De Los Rios-Ibarra MO, Vazquez-Cardenas A, Arjona-Villicaña RD, Acevedo-Rivera KJ, Allende-Carrera R, Alvarez JA, Amezcua-Martinez JC, de Los Reyes Barrera-Bustillo M, Carazo-Vargas G, Contreras-Chacon R, Figueroa-Andrade MH, Flores-Ortega A, Garcia-Alcala H, Garcia de Leon LE, Garcia-Guzman B, Garduño-Garcia JJ, Garnica-Cuellar JC, Gomez-Cruz JR, Hernandez-Garcia A, Holguin-Almada JR, Juarez-Herrera U, Lugo-Sobrevilla F, Marquez-Rodriguez E, Martinez-Sibaja C, Medrano-Rodriguez AB, Morales-Oyervides JC, Perez-Vazquez DI, Reyes-Rodriguez EA, Robles-Osorio ML, Rosas-Saucedo J, Torres-Tamayo M, Valdez-Talavera LA, Vera-Arroyo LE, Zepeda-Carrillo EA, Aguilar-Salinas CA. Familial hypercholesterolemia in Mexico: Initial insights from the national registry. J Clin Lipidol 2021; 15:124-133. [PMID: 33422452 DOI: 10.1016/j.jacl.2020.12.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 11/18/2020] [Accepted: 12/04/2020] [Indexed: 12/23/2022]
Abstract
BACKGROUND Familial hypercholesterolemia (FH) remains underdiagnosed and undertreated. OBJECTIVE Report the results of the first years (2017-2019) of the Mexican FH registry. METHODS There are 60 investigators, representing 28 federal states, participating in the registry. The variables included are in accordance with the European Atherosclerosis Society (EAS) FH recommendations. RESULTS To date, 709 patients have been registered, only 336 patients with complete data fields are presented. The mean age is 50 (36-62) years and the average time since diagnosis is 4 (IQR: 2-16) years. Genetic testing is recorded in 26.9%. Tendon xanthomas are present in 43.2%. The prevalence of type 2 diabetes is 11.3% and that of premature CAD is 9.8%. Index cases, male gender, hypertension and smoking were associated with premature CAD. The median lipoprotein (a) level is 30.5 (IQR 10.8-80.7) mg/dl. Statins and co-administration with ezetimibe were recorded in 88.1% and 35.7% respectively. A combined treatment target (50% reduction in LDL-C and an LDL-C <100 mg/dl) was achieved by 13.7%. Associated factors were index case (OR 3.6, 95%CI 1.69-8.73, P = .002), combination therapy (OR 2.4, 95%CI 1.23-4.90, P = .011), type 2 diabetes (OR 2.8, 95%CI 1.03-7.59, P = .036) and age (OR 1.023, 95%CI 1.01-1.05, P = .033). CONCLUSION The results confirm late diagnosis, a lower than expected prevalence and risk of ASCVD, a higher than expected prevalence of type 2 diabetes and undertreatment, with relatively few patients reaching goals. Recommendations include, the use of combination lipid lowering therapy, control of comorbid conditions and more frequent genetic testing in the future.
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Affiliation(s)
- Roopa Mehta
- Unidad de Investigación de Enfermedades Metabolicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran, México City, Mexico; Departamento de Endocrinologia y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutricion Salvador Zubiran, Mexico City, Mexico
| | - Alexandro J Martagon
- Unidad de Investigación de Enfermedades Metabolicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran, México City, Mexico; Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Nuevo Leon, Mexico
| | - Gabriela A Galan Ramirez
- Unidad de Investigación de Enfermedades Metabolicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran, México City, Mexico
| | - Neftali Eduardo Antonio-Villa
- Unidad de Investigación de Enfermedades Metabolicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran, México City, Mexico
| | - Arsenio Vargas-Vázquez
- Unidad de Investigación de Enfermedades Metabolicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran, México City, Mexico
| | - Daniel Elias-Lopez
- Unidad de Investigación de Enfermedades Metabolicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran, México City, Mexico; Departamento de Endocrinologia y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutricion Salvador Zubiran, Mexico City, Mexico
| | - Gustavo Gonzalez-Retana
- Departamento de Endocrinologia y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutricion Salvador Zubiran, Mexico City, Mexico
| | - Bethsabel Rodríguez-Encinas
- Departamento de Endocrinologia y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutricion Salvador Zubiran, Mexico City, Mexico
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Guadalupe Jimenez-Dominguez
- Hospital General Zona #46 IMSS, Villahermosa, Tabasco, Mexico; Hospital Angeles de Villahermosa, Tabasco, Mexico
| | | | - Hector E Arriaga-Cazares
- Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Nuevo Leon, Mexico; Centro Medico Nacional del Noreste IMSS, Monterrey, Nuevo Leon, Mexico
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Carlos A Aguilar-Salinas
- Unidad de Investigación de Enfermedades Metabolicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran, México City, Mexico; Departamento de Endocrinologia y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutricion Salvador Zubiran, Mexico City, Mexico; Direccion de Nutricion, Instituto Nacional de Ciencias Médicas y Nutricion Salvador Zubiran, Mexico City, Mexico; Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Nuevo Leon, Mexico.
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Lee C, Rivera-Valerio M, Bangash H, Prokop L, Kullo IJ. New Case Detection by Cascade Testing in Familial Hypercholesterolemia: A Systematic Review of the Literature. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2019; 12:e002723. [PMID: 31638829 PMCID: PMC9875692 DOI: 10.1161/circgen.119.002723] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
BACKGROUND The prevalence of familial hypercholesterolemia is 1 in 250, but <10% of patients are diagnosed. Cascade testing enables early detection of cases through systematic family tracing. Establishment of familial hypercholesterolemia cascade testing programs in the US could be informed by approaches used elsewhere. METHODS We conducted a systematic review of published studies in the English language of cascade testing for familial hypercholesterolemia, which reported the number of index cases and number of relatives tested and specified methods of contacting relatives and testing modalities methods utilized. For each study, we calculated yield (proportion of relatives who test positive) and new cases per index case, to facilitate comparison. RESULTS We identified 10 studies from the literature that met inclusion criteria; the mean number of probands and relatives per study was 242 and 826, respectively. The average yield was 44.76% with a range of 30% to 60.5%, and the mean new cases per index case was 1.65 with a range of 0.22 to 8.0. New cases per index case tended to be greater in studies that used direct contact versus indirect contact (2.06 versus 0.86), tested beyond first-degree relatives versus only first-degree relatives (3.65 versus 0.80), used active sample collection versus collection at clinic (4.11 versus 1.06), and utilized genetic testing versus biochemical testing (2.47 versus 0.42). CONCLUSIONS New case detection in familial hypercholesterolemia cascade testing programs tended to be higher with direct contact of relatives, testing beyond first-degree relatives, in-home-based sample collection, and genetic testing. These findings should be helpful for establishing cascade testing programs in the United States.
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Affiliation(s)
- Christopher Lee
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | | | - Hana Bangash
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Larry Prokop
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
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10
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Ceska R, Latkovskis G, Ezhov MV, Freiberger T, Lalic K, Mitchenko O, Paragh G, Petrulioniene Z, Pojskic B, Raslova K, Shek AB, Vohnout B, Altschmiedova T, Todorovova V. The Impact of the International Cooperation On Familial Hypercholesterolemia Screening and Treatment: Results from the ScreenPro FH Project. Curr Atheroscler Rep 2019; 21:36. [PMID: 31230174 PMCID: PMC6589142 DOI: 10.1007/s11883-019-0797-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Purpose of Review Familial hypercholesterolemia (FH) is often perceived and described as underdiagnosed and undertreated, though effective treatment of FH is available. Owing to the mentioned facts, it is ever more imperative to screen and treat FH patients. Subsequent to the identification of patients, the project focuses on the improvement of their prognoses. The ScreenPro FH project was established as a functional international network for the diagnosis, screening, and treatment of FH. Individual countries were assigned goals, e.g., to define the actual situation and available treatment. With “central support,” more centers and countries participated in the project. Subsequently, individual countries reported the results at the beginning and end of the project. Collected data were statistically evaluated. Recent Findings The increasing number of patients in databases, from 7500 in 2014 to 25,347 in 2018, demonstrates the improvement in overall effectiveness, as well as an increase in the number of centers from 70 to 252. Before all, LDL-C decreased by 41.5% and total cholesterol by 32.3%. As data from all countries and patients were not available at the time of the analysis, only those results from 10 countries and 5585 patients at the beginning of the project and at the time of writing are included. Summary Our data are quite positive. However, our results have only limited validity. Our patients are far from the target levels of LDL-C. The situation can be improved with the introduction of new therapy, PCSK9-i, evolocumab, and alirocumab. International cooperation improved the screening of FH and finally led to an improvement in cardiovascular risk.
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Affiliation(s)
- Richard Ceska
- Third Department of Medicine - Department of Endocrinology and Metabolism of the First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic.
| | - Gustavs Latkovskis
- Latvian Research Institute of Cardiology, Faculty of Medicine, University of Latvia, Riga, Latvia.,Paul Stradins Clinical University Hospital, Riga, Latvia
| | | | - Tomas Freiberger
- Centre for Cardiovascular Surgery and Transplantation, Brno, Czech Republic.,Medical Faculty, Masaryk University, Brno, Czech Republic
| | - Katarina Lalic
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, Belgrade, Serbia.,Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | | | - Gyorgy Paragh
- Department of Internal Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Zaneta Petrulioniene
- Vilnius University Faculty of Medicine, Vilnius, Lithuania.,Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | - Belma Pojskic
- Cantonal Hospital Zenica, Zenica, Bosnia and Herzegovina
| | - Katarina Raslova
- Coordination Center for Familial Hyperlipidemias, Slovak Medical University, Bratislava, Slovakia
| | - Aleksandr B Shek
- Head of Department of Ischemic Heart Disease and Atherosclerosis, Republican Specialised Center of Cardiology, Tashkent, Uzbekistan
| | - Branislav Vohnout
- Institute of Nutrition, Faculty of Nursing and Health Professional Studies and Coordination Centre for Familial Hyperlipoproteinemias, Slovak Medical University in Bratislava, Bratislava, Slovakia.,Institute of Epidemiology, School of Medicine, Comenius University, Bratislava, Slovakia
| | - Tereza Altschmiedova
- Third Department of Medicine - Department of Endocrinology and Metabolism of the First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Veronika Todorovova
- Third Department of Medicine - Department of Endocrinology and Metabolism of the First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
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