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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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Hermansson J, Kahan T. Systematic Review of Validity Assessments of Framingham Risk Score Results in Health Economic Modelling of Lipid-Modifying Therapies in Europe. PHARMACOECONOMICS 2018; 36:205-213. [PMID: 29079929 PMCID: PMC5805819 DOI: 10.1007/s40273-017-0578-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
BACKGROUND The Framingham Risk Score is used both in the clinical setting and in health economic analyses to predict the risk for future coronary heart disease events. Based on an American population, the Framingham Risk Score has been criticised for potential overestimation of risk in European populations. OBJECTIVE We investigated whether the use of the Framingham Risk Score actually was validated in health economic studies that modelled the effects of lipid-lowering treatment with statins on coronary heart disease events in European populations. METHODS In this systematic literature review of all relevant published studies in English (literature searched September 2016 in PubMed, EMBASE and SCOPUS), 99 studies were identified and 22 were screened in full text, 18 of which were included. Key data were extracted and synthesised narratively. RESULTS The only type of validation identified was a comparison against coronary heart disease risk data from one primary preventive and one secondary preventive clinical investigation, and from observational population data in one study. Taken together, those three studies reported an overall satisfactory accuracy in the results obtained by Framingham Risk Score predictions, but the Framingham Risk Score tended to underestimate non-fatal myocardial infarctions. In five studies, potential issues in applying the Framingham Risk Score on a European population were not addressed. CONCLUSION Further studies are needed to ascertain that the Framingham Risk Score can accurately predict cardiovascular outcome in health economic modelling studies on lipid-lowering therapy in European populations. Future modelling studies using the Framingham Risk Score would benefit from validating the results against other data.
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Affiliation(s)
- Jonas Hermansson
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Thomas Kahan
- Division of Cardiovascular Medicine, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden.
- Department of Cardiology, Danderyd University Hospital Corp, 182 88, Stockholm, Sweden.
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Knowles JW, Stone NJ, Ballantyne CM. Familial Hypercholesterolemia and the 2013 American College of Cardiology/American Heart Association Guidelines: Myths, Oversimplification, and Misinterpretation Versus Facts. Am J Cardiol 2015; 116:481-4. [PMID: 26043952 DOI: 10.1016/j.amjcard.2015.04.062] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2015] [Revised: 04/30/2015] [Accepted: 04/30/2015] [Indexed: 10/23/2022]
Abstract
Familial hypercholesterolemia (FH) is a genetic condition resulting in severe, lifelong elevations in low-density lipoprotein cholesterol and a marked increased risk of early-onset coronary disease. FH is treatable when identified, yet is vastly under-recognized and undertreated. Although the 2013 American College of Cardiology/American Heart Association guidelines on the treatment of cholesterol presented a paradigm shift, we believe that there have been serious oversimplifications, misinterpretations, and erroneous reporting about the current ACC/AHA cholesterol guidelines that have contributed to suboptimal care for these subjects. In summary, the ACC/AHA guidelines place tremendous emphasis on the identification of patients with FH, the initiation of high-intensity statin therapy, the need to obtain follow-up lipid values to assess the efficacy and compliance to lifestyle and medical therapy, and the role of nonstatin drugs when needed for optimal care of the individual patient.
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Wiegman A, Gidding SS, Watts GF, Chapman MJ, Ginsberg HN, Cuchel M, Ose L, Averna M, Boileau C, Borén J, Bruckert E, Catapano AL, Defesche JC, Descamps OS, Hegele RA, Hovingh GK, Humphries SE, Kovanen PT, Kuivenhoven JA, Masana L, Nordestgaard BG, Pajukanta P, Parhofer KG, Raal FJ, Ray KK, Santos RD, Stalenhoef AFH, Steinhagen-Thiessen E, Stroes ES, Taskinen MR, Tybjærg-Hansen A, Wiklund O. Familial hypercholesterolaemia in children and adolescents: gaining decades of life by optimizing detection and treatment. Eur Heart J 2015; 36:2425-37. [PMID: 26009596 PMCID: PMC4576143 DOI: 10.1093/eurheartj/ehv157] [Citation(s) in RCA: 556] [Impact Index Per Article: 61.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2015] [Accepted: 04/19/2015] [Indexed: 12/27/2022] Open
Abstract
Familial hypercholesterolaemia (FH) is a common genetic cause of premature coronary heart disease (CHD). Globally, one baby is born with FH every minute. If diagnosed and treated early in childhood, individuals with FH can have normal life expectancy. This consensus paper aims to improve awareness of the need for early detection and management of FH children. Familial hypercholesterolaemia is diagnosed either on phenotypic criteria, i.e. an elevated low-density lipoprotein cholesterol (LDL-C) level plus a family history of elevated LDL-C, premature coronary artery disease and/or genetic diagnosis, or positive genetic testing. Childhood is the optimal period for discrimination between FH and non-FH using LDL-C screening. An LDL-C ≥5 mmol/L (190 mg/dL), or an LDL-C ≥4 mmol/L (160 mg/dL) with family history of premature CHD and/or high baseline cholesterol in one parent, make the phenotypic diagnosis. If a parent has a genetic defect, the LDL-C cut-off for the child is ≥3.5 mmol/L (130 mg/dL). We recommend cascade screening of families using a combined phenotypic and genotypic strategy. In children, testing is recommended from age 5 years, or earlier if homozygous FH is suspected. A healthy lifestyle and statin treatment (from age 8 to 10 years) are the cornerstones of management of heterozygous FH. Target LDL-C is <3.5 mmol/L (130 mg/dL) if >10 years, or ideally 50% reduction from baseline if 8–10 years, especially with very high LDL-C, elevated lipoprotein(a), a family history of premature CHD or other cardiovascular risk factors, balanced against the long-term risk of treatment side effects. Identifying FH early and optimally lowering LDL-C over the lifespan reduces cumulative LDL-C burden and offers health and socioeconomic benefits. To drive policy change for timely detection and management, we call for further studies in the young. Increased awareness, early identification, and optimal treatment from childhood are critical to adding decades of healthy life for children and adolescents with FH.
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Affiliation(s)
- Albert Wiegman
- Department of Paediatrics, Academic Medical Center, University of Amsterdam, The Netherlands
| | - Samuel S Gidding
- Nemours Cardiac Center, A. I. DuPont Hospital for Children, Wilmington, DE, USA
| | - Gerald F Watts
- School of Medicine and Pharmacology, Royal Perth Hospital Unit, The University of Western Australia, Western Australia, Australia
| | - M John Chapman
- Pierre and Marie Curie University, Paris, France National Institute for Health and Medical Research (INSERM), Pitié-Salpêtrière University Hospital, Paris, France
| | - Henry N Ginsberg
- Columbia University College of Physicians and Surgeons, New York, NY, USA Irving Institute for Clinical and Translational Research, Columbia University Medical Center, New York, USA
| | - Marina Cuchel
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Leiv Ose
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway Lipid Clinic, Oslo University Hospital, Oslo, Norway
| | - Maurizio Averna
- Department of Internal Medicine, University of Palermo, Italy
| | - Catherine Boileau
- Diderot Medical School, University Paris 7, Paris, France Genetics Department, Bichat University Hospital, Paris, France INSERM U698, Paris, France
| | - Jan Borén
- Department of Medicine, Sahlgrenska Academy, Göteborg University, Gothenburg, Sweden Wallenberg Laboratory for Cardiovascular Research, Gothenburg, Sweden
| | - Eric Bruckert
- Department of Endocrinology and Prevention of Cardiovascular Disease, University Hospital Pitié-Salpêtrière, Paris, France
| | - Alberico L Catapano
- Department of Pharmacology, Faculty of Pharmacy, University of Milano, Milan, Italy Multimedica IRCSS, Milan, Italy
| | - Joep C Defesche
- Department of Vascular Medicine, Academic Medical Center, University of Amsterdam, The Netherlands
| | | | - Robert A Hegele
- Robarts Research Institute, University of Western Ontario, London, ON, Canada
| | - G Kees Hovingh
- Department of Vascular Medicine, Academic Medical Center, University of Amsterdam, The Netherlands
| | - Steve E Humphries
- Centre for Cardiovascular Genetics, University College London, Institute of Cardiovascular Sciences, London, UK
| | | | - Jan Albert Kuivenhoven
- Department of Pediatrics, Section Molecular Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Luis Masana
- Vascular Medicine and Metabolic Unit, Department of Medicine and Surgery, University Rovira and Virgili, Reus-Tarragona, Spain
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, Herlev, Denmark Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Päivi Pajukanta
- Department of Human Genetics, Center for Metabolic Disease Prevention, University of California, Los Angeles, USA
| | - Klaus G Parhofer
- Department of Endocrinology and Metabolism, University of Munich, Munich, Germany
| | - Frederick J Raal
- Carbohydrate & Lipid Metabolism Research Unit; and Division of Endocrinology & Metabolism, University of the Witwatersrand, Johannesburg, South Africa
| | - Kausik K Ray
- Department of Primary Care and Public Health, School of Public Health, Imperial College, London, UK
| | - Raul D Santos
- Lipid Clinic of the Heart Institute (InCor), University of São Paulo, São Paulo, Brazil Department of Cardiology, University of São Paulo Medical School, São Paulo, Brazil
| | - Anton F H Stalenhoef
- Department of Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Erik S Stroes
- Department of Vascular Medicine, Academic Medical Center, University of Amsterdam, The Netherlands
| | - Marja-Riitta Taskinen
- Research Programs Unit, Diabetes & Obesity, University of Helsinki and Heart & Lung Centre, Helsinki University Hospital, Helsinki, Finland
| | - Anne Tybjærg-Hansen
- Department of Clinical Biochemistry, Section for Molecular Genetics, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Olov Wiklund
- Department of Experimental and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden
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Knowles JW, O’Brien EC, Greendale K, Wilemon K, Genest J, Sperling LS, Neal WA, Rader DJ, Khoury MJ. Reducing the burden of disease and death from familial hypercholesterolemia: a call to action. Am Heart J 2014; 168:807-11. [PMID: 25458642 DOI: 10.1016/j.ahj.2014.09.001] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2014] [Accepted: 09/08/2014] [Indexed: 10/24/2022]
Abstract
Familial hypercholesterolemia (FH) is a genetic disease characterized by substantial elevations of low-density lipoprotein cholesterol, unrelated to diet or lifestyle. Untreated FH patients have 20 times the risk of developing coronary artery disease, compared with the general population. Estimates indicate that as many as 1 in 500 people of all ethnicities and 1 in 250 people of Northern European descent may have FH; nevertheless, the condition remains largely undiagnosed. In the United States alone, perhaps as little as 1% of FH patients have been diagnosed. Consequently, there are potentially millions of children and adults worldwide who are unaware that they have a life-threatening condition. In countries like the Netherlands, the United Kingdom, and Spain, cascade screening programs have led to dramatic improvements in FH case identification. Given that there are currently no systematic approaches in the United States to identify FH patients or affected relatives, the patient-centric nonprofit FH Foundation convened a national FH Summit in 2013, where participants issued a "call to action" to health care providers, professional organizations, public health programs, patient advocacy groups, and FH experts, in order to bring greater attention to this potentially deadly, but (with proper diagnosis) eminently treatable, condition.
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Ademi Z, Watts GF, Pang J, Sijbrands EJG, van Bockxmeer FM, O'Leary P, Geelhoed E, Liew D. Cascade screening based on genetic testing is cost-effective: evidence for the implementation of models of care for familial hypercholesterolemia. J Clin Lipidol 2014; 8:390-400. [PMID: 25110220 DOI: 10.1016/j.jacl.2014.05.008] [Citation(s) in RCA: 130] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2014] [Revised: 05/06/2014] [Accepted: 05/29/2014] [Indexed: 10/25/2022]
Abstract
BACKGROUND Familial hypercholesterolemia (FH) imposes significant burden of premature coronary heart disease (CHD). OBJECTIVE This study aimed to determine the cost-effectiveness of FH detection based on genetic testing, supplemented with the measurement of plasma low-density lipoprotein cholesterol concentration, and treatment with statins. METHODS A Markov model with a 10-year time horizon was constructed to simulate the onset of first-ever CHD and death in close relatives of probands with genetically confirmed FH. The model comprised of 3 health states: "alive without CHD," "alive with CHD," and "dead." Decision-analysis compared the clinical consequences and costs of cascade-screening vs no-screening from an Australian health care perspective. The annual risk of CHD and benefits of treatment was estimated from a cohort study. The underlying prevalence of FH, sensitivity, specificity, cost of screening, treatment, and clinic follow-up visits were derived from a cascade screening service for FH in Western Australia. An annual discount rate of 5% was applied to costs and benefits. RESULTS The model estimated that screening for FH would reduce the 10-year incidence of CHD from 50.0% to 25.0% among people with FH. Of every 100 people screened, there was an overall gain of 24.95 life-years and 29.07 quality-adjusted life years (discounted). The incremental cost-effectiveness ratio was in Australian dollars, $4155 per years of life saved and $3565 per quality-adjusted life years gained. CONCLUSION This analysis within an Australian context, demonstrates that cascade screening for FH, using genetic testing supplemented with the measurement of plasma low-density lipoprotein cholesterol concentrations and treatment with statins, is a cost-effective means of preventing CHD in families at risk of FH.
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Affiliation(s)
- Zanfina Ademi
- Department of Medicine (RMH), Melbourne EpiCentre, The University of Melbourne and Melbourne Health, Australia; Department of Epidemiology & Preventive Medicine, Monash University, Australia.
| | - Gerald F Watts
- Lipid Disorders Clinic, Metabolic Research Centre and Cardiovascular Medicine, Royal Perth Hospital, School of Medicine and Pharmacology, The University of Western Australia, Australia
| | - Jing Pang
- Lipid Disorders Clinic, Metabolic Research Centre and Cardiovascular Medicine, Royal Perth Hospital, School of Medicine and Pharmacology, The University of Western Australia, Australia
| | - Eric J G Sijbrands
- Section of Pharmacology, Vascular and Metabolic Diseases of the Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Peter O'Leary
- School of Surgery, The University of Western Australia, Crawley, Australia; Centre for Population Health Research, Faculty of Health Sciences, Curtin University, Perth, Australia; School of Pathology & Laboratory Medicine, The University of Western Australia, Crawley, Australia
| | - Elizabeth Geelhoed
- School of Women's and Infants' Health, The University of Western Australia, Crawley, Australia; School of Population Health, The University of Western Australia, Australia
| | - Danny Liew
- Department of Medicine (RMH), Melbourne EpiCentre, The University of Melbourne and Melbourne Health, Australia
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Integrated guidance on the care of familial hypercholesterolemia from the International FH Foundation. J Clin Lipidol 2014; 8:148-72. [DOI: 10.1016/j.jacl.2014.01.002] [Citation(s) in RCA: 85] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2013] [Accepted: 01/04/2014] [Indexed: 12/11/2022]
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Watts GF, Gidding S, Wierzbicki AS, Toth PP, Alonso R, Brown WV, Bruckert E, Defesche J, Lin KK, Livingston M, Mata P, Parhofer KG, Raal FJ, Santos RD, Sijbrands EJ, Simpson WG, Sullivan DR, Susekov AV, Tomlinson B, Wiegman A, Yamashita S, Kastelein JJ. Integrated guidance on the care of familial hypercholesterolaemia from the International FH Foundation. Int J Cardiol 2014; 171:309-25. [DOI: 10.1016/j.ijcard.2013.11.025] [Citation(s) in RCA: 221] [Impact Index Per Article: 22.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2013] [Accepted: 11/02/2013] [Indexed: 12/18/2022]
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Ademi Z, Watts GF, Juniper A, Liew D. A systematic review of economic evaluations of the detection and treatment of familial hypercholesterolemia. Int J Cardiol 2013; 167:2391-6. [DOI: 10.1016/j.ijcard.2013.01.280] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2012] [Revised: 10/27/2012] [Accepted: 01/18/2013] [Indexed: 11/25/2022]
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Rodríguez Barrios JM, Pérez Alcántara F, Crespo Palomo C, González García P, Antón De Las Heras E, Brosa Riestra M. The use of cost per life year gained as a measurement of cost-effectiveness in Spain: a systematic review of recent publications. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2012; 13:723-740. [PMID: 21660565 DOI: 10.1007/s10198-011-0326-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2010] [Accepted: 05/18/2011] [Indexed: 05/30/2023]
Abstract
OBJECTIVES The objective of this study was to evaluate the methodological characteristics of cost-effectiveness evaluations carried out in Spain, since 1990, which include LYG as an outcome to measure the incremental cost-effectiveness ratio. METHODS A systematic review of published studies was conducted describing their characteristics and methodological quality. We analyse the cost per LYG results in relation with a commonly accepted Spanish cost-effectiveness threshold and the possible relation with the cost per quality adjusted life year (QALY) gained when they both were calculated for the same economic evaluation. RESULTS A total of 62 economic evaluations fulfilled the selection criteria, 24 of them including the cost per QALY gained result as well. The methodological quality of the studies was good (55%) or very good (26%). A total of 124 cost per LYG results were obtained with a mean ratio of 49,529<euro> and a median of 11,490<euro> (standard deviation of 183,080). Since 2003, a commonly accepted Spanish threshold has been referenced by 66% of studies. A significant correlation was found between the cost per LYG and cost per QALY gained results (0.89 Spearman-Rho, 0.91 Pearson). CONCLUSIONS There is an increasing interest for economic health care evaluations in Spain, and the quality of the studies is also improving. Although a commonly accepted threshold exists, further information is needed for decision-making as well as to identify the relationship between the costs per LYG and per QALY gained.
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Watts GF, Juniper A, van Bockxmeer F, Ademi Z, Liew D, OʼLeary P. Familial hypercholesterolaemia: a review with emphasis on evidence for treatment, new models of care and health economic evaluations. INT J EVID-BASED HEA 2012; 10:211-21. [DOI: 10.1111/j.1744-1609.2012.00272.x] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Abstract
Familial hypercholesterolaemia (FH) is an autosomal dominant disorder characterised by increased plasma concentrations of low density lipoprotein (LDL) cholesterol leading to atherosclerosis and premature coronary heart disease (CHD) and death. The clinical diagnosis of FH is based on a personal and family history, physical examination findings and LDL-cholesterol concentrations. FH is primarily caused by mutations in the LDL-receptor gene (LDLR), and less frequently by mutations in genes for APOB and the more recently identified PCSK9. Lifestyle modification and pharmacotherapy can delay or prevent the onset of CHD in FH. It is estimated that only 20% of cases have been diagnosed in Australia and that the majority are inadequately treated. Screening options for FH include population screening (of children or adults), targeted screening of patients with premature CHD and their relatives, or opportunistic screening such as flagging laboratory lipid reports. Cascade screening, a form of targeted screening, is an ethically acceptable, cost-effective strategy for the identification of FH. However, for screening to be successful, medical practitioners need to be aware of the signs and diagnosis of FH and the benefits of early treatment.
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Lejos del ensayo clínico… cerca de nuestra realidad. Rev Clin Esp 2011; 211:579-80. [DOI: 10.1016/j.rce.2011.07.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2011] [Accepted: 07/04/2011] [Indexed: 11/23/2022]
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Oosterveer DM, Versmissen J, Schinkel AFL, Langendonk JG, Mulder M, Sijbrands EJG. Clinical and genetic factors influencing cardiovascular risk in patients with familial hypercholesterolemia. ACTA ACUST UNITED AC 2010. [DOI: 10.2217/clp.10.9] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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Chakraborty PP, Mukhopadhyay S, Achar A, Pal M, Mondal PC. Migratory polyarthritis in familial hypercholesterolemia (type IIa hyperlipoproteinemia). Indian J Pediatr 2010; 77:329-31. [PMID: 20140769 DOI: 10.1007/s12098-010-0021-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2009] [Accepted: 09/03/2009] [Indexed: 11/28/2022]
Abstract
Metabolic disorders are often encountered in clinical practice. Some of these diseases are associated with dermatological and musculoskeletal manifestations. Familial hypercholesterolemia is a disorder of lipoprotein metabolism characterized by elevated cholesterol, low-density lipoprotein cholesterol, xanthomas and early onset atherosclerosis. Tendinitis and arthritis have been rarely reported in patients with familial hypercholesterolemia. Here is presented a case of a young girl with migratory polyarthritis, who was diagnosed as probable homozygote familial hypercholesterolemia with hypercholesterolemic arthritis. A proper knowledge of cutaneous manifestations helps to identify patients at risk, establish the underlying diagnosis, and start early and effective therapy.
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Current Opinion in Endocrinology, Diabetes & Obesity. Current world literature. Curr Opin Endocrinol Diabetes Obes 2009; 16:189-202. [PMID: 19300094 DOI: 10.1097/med.0b013e328329fcc2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Oliva J, López-Bastida J, Moreno SG, Mata P, Alonso R. Análisis coste-efectividad de un programa de cribado genético en familiares directos de pacientes con hipercolesterolemia familiar en España. Rev Esp Cardiol 2009. [DOI: 10.1016/s0300-8932(09)70021-1] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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