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Bonet Estruch E, López-Lara MJ, Gutiérrez-Cortizo EN, Castaño López MA, Mata P, Romero-Jiménez MJ. Total Cholesterol Determination Accuracy in Dried Blood Spots. Diagnostics (Basel) 2024; 14:1906. [PMID: 39272691 PMCID: PMC11394288 DOI: 10.3390/diagnostics14171906] [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: 07/03/2024] [Revised: 08/02/2024] [Accepted: 08/27/2024] [Indexed: 09/15/2024] Open
Abstract
Background Detecting total cholesterol in dried blood spots could aid in identifying individuals with a high likelihood of familial hypercholesterolemia and could be used as a screening measure. This study aims to assess the diagnostic accuracy of dried blood spots on Whatman 903 paper cards using a manual enzymatic technique. Methods: A total of 394 samples were collected as serum and dried blood spots were compared. Cholesterol was determined in serum using the automated reference method, while cholesterol on paper was measured using a manual enzymatic method. Within- and between-day diagnostic variability were analyzed. The correlation between both methods was assessed using Passing-Bablok regression and Bland-Altman plot. Internal validation of our correlation formula was performed on 149 samples, along with external validation of the formula proposed by Corso et al. Results: The within- and between-day coefficient of variation was found to be lower than 10.14% and 14.09%, respectively. Passing-Bablok regression indicated a precision of 0.803 and an accuracy of 0.96. Internal validation precision was measured at 0.716. The resulting positive and negative predicted values were 0.77 and 0.92, respectively, vs. 0.46 and 0.96 from the external formula. Conclusions: Total cholesterol analysis in dried blood spots demonstrates high precision and reproducibility. This method reliably enables the incorporation of this biological marker into neonatal screening for familial hypercholesterolemia detection.
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Affiliation(s)
- Elena Bonet Estruch
- Clinical Chemistry and Laboratory Medicine Department, Infanta Elena Hospital, 21007 Huelva, Spain
| | - María J López-Lara
- Fundación Andaluza Beturia para la Investigación en Salud (FABIS), Infanta Elena Hospital, 21007 Huelva, Spain
| | - Eva N Gutiérrez-Cortizo
- Internal Medicine Department, Lipid and Vascular Risk Unit, Infanta Elena Hospital, 21007 Huelva, Spain
| | - Miguel A Castaño López
- Clinical Chemistry and Laboratory Medicine Department, Infanta Elena Hospital, 21007 Huelva, Spain
| | - Pedro Mata
- Internal Medicine, Spanish Familial Hypercholesterolemia Foundation, 28010 Madrid, Spain
| | - Manuel J Romero-Jiménez
- Internal Medicine Department, Lipid and Vascular Risk Unit, Infanta Elena Hospital, 21007 Huelva, Spain
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2
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Gielen S, Weingärtner O. A European screening programme for familial hypercholesterolaemia: a call to action. Eur J Prev Cardiol 2024; 31:1199-1202. [PMID: 36718096 DOI: 10.1093/eurjpc/zwad018] [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] [Received: 01/08/2023] [Revised: 01/16/2023] [Accepted: 01/19/2023] [Indexed: 02/01/2023]
Affiliation(s)
- Stephan Gielen
- Klinikum Lippe, Universitätsklinikum Ostwestfalen-Lippe, Klinik für Kardiologie, Angiologie und Internistische Intensivmedizin, Röntgenstr. 18, 32756 Detmold, Germany
- Universität Bielefeld, Medizinische Fakultät, Bielefeld, Morgenbreede 1, 33615 Bielefeld, Germany
| | - Oliver Weingärtner
- Klinik für Innere Medizin I, Kardiologie, Universitätsklinikum Jena, Friedrich-Schiller-Universität Jena, Jena, Germany
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3
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Cornel MC, van der Meij KRM, van El CG, Rigter T, Henneman L. Genetic Screening-Emerging Issues. Genes (Basel) 2024; 15:581. [PMID: 38790210 PMCID: PMC11121342 DOI: 10.3390/genes15050581] [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] [Received: 03/29/2024] [Revised: 04/25/2024] [Accepted: 04/30/2024] [Indexed: 05/26/2024] Open
Abstract
In many countries, some form of genetic screening is offered to all or part of the population, either in the form of well-organized screening programs or in a less formalized way. Screening can be offered at different phases of life, such as preconception, prenatal, neonatal and later in life. Screening should only be offered if the advantages outweigh the disadvantages. Technical innovations in testing and treatment are driving changes in the field of prenatal and neonatal screening, where many jurisdictions have organized population-based screening programs. As a result, a greater number and wider range of conditions are being added to the programs, which can benefit couples' reproductive autonomy (preconception and prenatal screening) and improve early diagnosis to prevent irreversible health damage in children (neonatal screening) and in adults (cancer and cascade screening). While many developments in screening are technology-driven, citizens may also express a demand for innovation in screening, as was the case with non-invasive prenatal testing. Relatively new emerging issues for genetic screening, especially if testing is performed using DNA sequencing, relate to organization, data storage and interpretation, benefit-harm ratio and distributive justice, information provision and follow-up, all connected to acceptability in current healthcare systems.
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Affiliation(s)
- Martina C. Cornel
- Section Community Genetics, Department of Human Genetics, Amsterdam UMC, Vrije Universiteit Amsterdam, 1007 MB Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, 1100 DD Amsterdam, The Netherlands
- Amsterdam Reproduction and Development Research Institute, 1100 DD Amsterdam, The Netherlands
| | - Karuna R. M. van der Meij
- Section Community Genetics, Department of Human Genetics, Amsterdam UMC, Vrije Universiteit Amsterdam, 1007 MB Amsterdam, The Netherlands
- Amsterdam Reproduction and Development Research Institute, 1100 DD Amsterdam, The Netherlands
| | - Carla G. van El
- Section Community Genetics, Department of Human Genetics, Amsterdam UMC, Vrije Universiteit Amsterdam, 1007 MB Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, 1100 DD Amsterdam, The Netherlands
| | - Tessel Rigter
- Section Community Genetics, Department of Human Genetics, Amsterdam UMC, Vrije Universiteit Amsterdam, 1007 MB Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, 1100 DD Amsterdam, The Netherlands
| | - Lidewij Henneman
- Section Community Genetics, Department of Human Genetics, Amsterdam UMC, Vrije Universiteit Amsterdam, 1007 MB Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, 1100 DD Amsterdam, The Netherlands
- Amsterdam Reproduction and Development Research Institute, 1100 DD Amsterdam, The Netherlands
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4
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Marquina C, Morton JI, Lloyd M, Abushanab D, Baek Y, Abebe T, Livori A, Dahal P, Watts GF, Ademi Z. Cost-Effectiveness of Screening Strategies for Familial Hypercholesterolaemia: An Updated Systematic Review. PHARMACOECONOMICS 2024; 42:373-392. [PMID: 38265575 PMCID: PMC10937756 DOI: 10.1007/s40273-023-01347-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/17/2023] [Indexed: 01/25/2024]
Abstract
BACKGROUND OBJECTIVE: This study aimed to systematically synthesise the cost-effectiveness of screening strategies to detect heterozygous familial hypercholesterolemia (FH). METHODS We searched seven databases from inception to 2 February , 2023, for eligible cost-effective analysis (CEA) that evaluated screening strategies for FH versus the standard care for FH detection. Independent reviewers performed the screening, data extraction and quality evaluation. Cost results were adapted to 2022 US dollars (US$) to facilitate comparisons between studies using the same screening strategies. Cost-effectiveness thresholds were based on the original study criteria. RESULTS A total of 21 studies evaluating 62 strategies were included in this review, most of the studies (95%) adopted a healthcare perspective in the base case, and majority were set in high-income countries. Strategies analysed included cascade screening (23 strategies), opportunistic screening (13 strategies), systematic screening (11 strategies) and population-wide screening (15 strategies). Most of the strategies relied on genetic diagnosis for case ascertainment. The most common comparator was no screening, but some studies compared the proposed strategy versus current screening strategies or versus the best next alternative. Six studies evaluated screening in children while the remaining were targeted at adults. From a healthcare perspective, cascade screening was cost-effective in 78% of the studies [cost-adapted incremental cost-effectiveness ratios (ICERs) ranged from dominant to 2022 US$ 104,877], opportunistic screening in 85% (ICERs from US$4959 to US$41,705), systematic screening in 80% (ICERs from US$2763 to US$69,969) and population-wide screening in 60% (ICERs from US$1484 to US$223,240). The most common driver of ICER identified in the sensitivity analysis was the long-term cost of lipid-lowering treatment. CONCLUSIONS Based on reported willingness to pay thresholds for each setting, most CEA studies concluded that screening for FH compared with no screening was cost-effective, regardless of the screening strategy. Cascade screening resulted in the largest health benefits per person tested.
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Affiliation(s)
- Clara Marquina
- Health Economics and Policy Evaluation Research (HEPER) Group, Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Jedidiah I Morton
- Health Economics and Policy Evaluation Research (HEPER) Group, Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Melanie Lloyd
- Health Economics and Policy Evaluation Research (HEPER) Group, Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia
- Murdoch Children's Research Institute, Royal Children's Hospital Melbourne, Melbourne, Australia
| | - Dina Abushanab
- Health Economics and Policy Evaluation Research (HEPER) Group, Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia
- Pharmacy Department, Hamad Medical Corporation, Doha, Qatar
| | - Yeji Baek
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Tamrat Abebe
- Health Economics and Policy Evaluation Research (HEPER) Group, Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia
| | - Adam Livori
- Health Economics and Policy Evaluation Research (HEPER) Group, Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia
- Grampians Health, Ballarat, Australia
| | - Padam Dahal
- School of Health, Medical and Applied Sciences, Central Queensland University, Sydney Campus, Sydney, Australia
| | - Gerald F Watts
- School of Health, Medical and Applied Sciences, Central Queensland University, Sydney Campus, Sydney, Australia
- School of Medicine, University of Western Australia, Perth, Australia
- Cardiometabolic Service, Departments of Cardiology and Internal Medicine, Royal Perth Hospital, Perth, Australia
| | - Zanfina Ademi
- Health Economics and Policy Evaluation Research (HEPER) Group, Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Melbourne, Australia.
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
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5
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Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 175] [Impact Index Per Article: 175.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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6
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Meng R, Wei Q, Zhou J, Zhang B, Li C, Shen M. A systematic review of cost-effectiveness analysis of different screening strategies for familial hypercholesterolemia. J Clin Lipidol 2024; 18:e21-e32. [PMID: 37980172 DOI: 10.1016/j.jacl.2023.11.001] [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] [Received: 04/03/2023] [Revised: 10/07/2023] [Accepted: 11/02/2023] [Indexed: 11/20/2023]
Abstract
AIMS Diagnosis rate of familial hypercholesterolemia (FH) remained less than 10 % globally and the economic evaluation results of different FH screening strategies varied. This study aimed to systematically review the methodology and results of cost effectiveness analysis (CEA) of FH screening, which will provide evidence support for health-related decision-making. METHODS The Medline/PubMed, Embase, Cochrane Library, Web of science, National Health Service Economic Evaluation Database (NHSEED) and CEA Registry databases were electronically searched to collect full economic evaluation from the establishment of the databases to June 30, 2022. The quality of included studies was evaluated by the Consolidated Health Economic Evaluation Reporting Standards statement 2022 (CHEERS 2022) checklist. RESULTS Among 232 retrieved studies, 18 economic evaluations were included and all of them are from developed countries, with an average quality score of 0.73. The decision tree model and/or Markov model were constructed by thirteen articles (72 %). Twelve studies (67 %) adopted the healthcare perspective and the lifetime horizon to compare the costs and health outcome of different screening strategies. The results of eight studies indicated that cascade screening was a cost-effective strategy compared with no screening, which was more pronounced in younger adults. Universal screening in young adults aged 16 years or 18-40 years (n=3) and in children aged 1-2 years combined with reverse cascade screening (n=3) are both cost-effective. The probability of being cost-effective for cascade screening (n=6) and universal screening (n=1) of young aged 18-40 years were greater than 95 %. CONCLUSIONS Our review demonstrated the economic advantages of cascade screening, universal screening of young adults, and universal screening of newborns combined with reverse cascade screening. Further health economic evaluation is needed in children and in low- and middle-income countries.
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Affiliation(s)
- Rui Meng
- China-Australia Joint Research Center for Infectious Diseases (Drs Meng, Shen), School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, PR China
| | - Qiran Wei
- School of International Pharmaceutical Business (Drs Wei, Zhou), China Pharmaceutical University, Nanjing, Jiangsu 211198, China
| | - Jiting Zhou
- School of International Pharmaceutical Business (Drs Wei, Zhou), China Pharmaceutical University, Nanjing, Jiangsu 211198, China
| | - Baoming Zhang
- College of Stomatology (Dr Zhang), Xi'an Jiaotong University, Xi'an, Shaanxi 710004, PR China; Key laboratory of Shaanxi Province for Craniofacial Precision Medicine Research (Dr Zhang), College of Stomatology, Xi'an Jiaotong University, Xi'an, Shaanxi 710004, PR China; School of Public Health (Drs Zhang, Li), Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, PR China
| | - Chao Li
- School of Public Health (Drs Zhang, Li), Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, PR China
| | - Mingwang Shen
- China-Australia Joint Research Center for Infectious Diseases (Drs Meng, Shen), School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, PR China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province (Dr Shen), Xi'an, Shaanxi 710061, PR China.
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7
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Ferraro S, Benedetti S, Mannarino S, Marcovina S, Mario Biganzoli E, Zuccotti G. Prediction of atherosclerotic cardiovascular risk in early childhood. Clin Chim Acta 2024; 552:117684. [PMID: 38016628 DOI: 10.1016/j.cca.2023.117684] [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] [Received: 10/03/2023] [Revised: 11/22/2023] [Accepted: 11/24/2023] [Indexed: 11/30/2023]
Abstract
Atherosclerotic lesions are present even in very young individuals and therefore, risk stratification for cardiovascular (CV) disease should be implemented in childhood to promote early prevention strategies. In this review we critically appraise clinical, biochemical and genetic biomarkers available for pediatric clinical practice, which might be integrated to build effective algorithms to identify children at risk of future CV events. The first critical issue is to characterize in children aged 2-5 years, those CV risk factors/clinical conditions associated with dramatically accelerated atherosclerosis. Presence of clinical conditions such as obesity, diabetes mellitus, Kawasaki disease, etc., or positive family history for premature CV disease should be evaluated. Subsequently, a complete lipid profile and Lipoprotein(a) determination are recommended for children with increased baseline CV risk. Individuals with altered lipid profile could then undergo genetic testing for monogenic dyslipidemias to identify children with high CV genetic risk, who will be directed to appropriate therapeutic options. In perspective, calculation of a polygenic risk score, based on the analysis of several common single-nucleotide polymorphisms, could be integrated for better risk assessment. We here emphasize the importance of a "holistic" strategy integrating biochemical, anamnestic and genetic data to stratify CV risk in early childhood.
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Affiliation(s)
- Simona Ferraro
- Center of Functional Genomics and Rare Diseases Dept. of Pediatrics Buzzi Children's Hospital, Milan, Italy; Pediatric Department, Buzzi Children's Hospital, Milan, Italy.
| | - Sara Benedetti
- Center of Functional Genomics and Rare Diseases Dept. of Pediatrics Buzzi Children's Hospital, Milan, Italy; Arrhythmia and Electrophysiology Department, IRCCS Policlinico San Donato, San Donato Milanese, Italy
| | - Savina Mannarino
- Pediatric Cardiology Unit, Buzzi Children's Hospital, 20154 Milano, Italy
| | | | - Elia Mario Biganzoli
- Medical Statistics Unit, Department of Biomedical and Clinical Sciences L. Sacco, "Luigi Sacco" University Hospital, University of Milan, Milan, Italy; Data Science Research Center, University of Milan, Milan, Italy.
| | - Gianvincenzo Zuccotti
- Pediatric Department, Buzzi Children's Hospital, Milan, Italy; Department of Biomedical and Clinical Science, University of Milan, Milan, Italy
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8
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Humphries SE, Ramaswami U, Hopper N. Should Familial Hypercholesterolaemia Be Included in the UK Newborn Whole Genome Sequencing Programme? Curr Atheroscler Rep 2023; 25:1083-1091. [PMID: 38060059 DOI: 10.1007/s11883-023-01177-0] [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] [Accepted: 11/19/2023] [Indexed: 12/08/2023]
Abstract
PURPOSE OF REVIEW The UK National Health Service (NHS) has recently announced a Newborn Genomes Programme (NGP) to identify infants with treatable inherited disorders using whole genome sequencing (WGS). Here, we address, for familial hypercholesterolaemia (FH), the four principles that must be met for the inclusion of a disorder in the NGP. RECENT FINDINGS Principle A: There is strong evidence that the genetic variants causing FH can be reliably detected. Principle B: A high proportion of individuals who carry an FH-causing variant are likely to develop early heart disease if left undiagnosed and not offered appropriate treatment. Principle C: Early intervention has been shown to lead to substantially improved outcomes in children with FH. Principle D: The recommended interventions are equitably accessible for all. FH meets all the Wilson and Jungner criteria for inclusion in a screening programme, and it also meets all four principles and therefore should be included in the Newborn Genomes Programme.
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Affiliation(s)
- Steve E Humphries
- Centre for Cardiovascular Genetics, Rayne Building, 5 University Street, University College London, London, United Kingdom, WC1E 6JJ
| | - Uma Ramaswami
- Lysosomal Disorders Unit, Royal Free London NHS Foundation Trust, Royal Free Hospital, London, United Kingdom, NW3 2QG.
| | - Neil Hopper
- South Tyneside and Sunderland NHS Foundation Trust, Sunderland Royal Hospital, Sunderland, United Kingdom
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9
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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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10
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Khoury M. Cascade Screening in Familial Hypercholesterolemia: Achieving Buy-In and Turning Patients Into Partners. CJC PEDIATRIC AND CONGENITAL HEART DISEASE 2023; 2:219-221. [PMID: 37970215 PMCID: PMC10642102 DOI: 10.1016/j.cjcpc.2023.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 06/14/2023] [Indexed: 11/17/2023]
Affiliation(s)
- Michael Khoury
- Department of Pediatrics, University of Alberta, Stollery Children’s Hospital, Edmonton, Alberta, Canada
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11
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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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12
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Lin TK, Dispenza TC. Cholesterol Screening in Children: Is a Universal Approach Working? Curr Atheroscler Rep 2023; 25:579-590. [PMID: 37594601 DOI: 10.1007/s11883-023-01129-8] [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] [Accepted: 07/02/2023] [Indexed: 08/19/2023]
Abstract
PURPOSE OF REVIEW Ample evidence supports that an individual's lifetime risk of atherosclerotic cardiovascular disease correlates to long-term, cumulative exposure to circulating cholesterol levels, beginning in childhood. Selective screening strategies based on family history fail to identify many children with hypercholesterolemia. Universal cholesterol screening in childhood is a worthwhile goal. However, cholesterol screening rates through childhood remain low. RECENT FINDINGS Mounting evidence clarifies the barriers to cholesterol screening in children. Specific strategies to foster universal screening in childhood have been proposed. SUMMARY We present an overview of the present state of childhood cholesterol screening, summarizing historical and contemporary guidelines and collating evidence of low adherence to current guidelines. We contend that novel approaches to universal cholesterol screening in childhood are warranted, and we present potential opportunities for improvement. We call for new and universal pediatric cholesterol screening guidelines.
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Affiliation(s)
- Tracie K Lin
- Penn State Health Children's Hospital, Division of Pediatric Cardiology, 600 University Drive, Hershey, PA, 17033, USA
| | - Thomas C Dispenza
- Penn State Health Children's Hospital, Division of Pediatric Cardiology, 600 University Drive, Hershey, PA, 17033, USA.
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13
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Guirguis-Blake JM, Evans CV, Coppola EL, Redmond N, Perdue LA. Screening for Lipid Disorders in Children and Adolescents: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force. JAMA 2023; 330:261-274. [PMID: 37462700 DOI: 10.1001/jama.2023.8867] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/21/2023]
Abstract
Importance Lipid screening in childhood and adolescence can lead to early dyslipidemia diagnosis. The long-term benefits of lipid screening and subsequent treatment in this population are uncertain. Objective To review benefits and harms of screening and treatment of pediatric dyslipidemia due to familial hypercholesterolemia (FH) and multifactorial dyslipidemia. Data Sources MEDLINE and the Cochrane Central Register of Controlled Trials through May 16, 2022; literature surveillance through March 24, 2023. Study Selection English-language randomized clinical trials (RCTs) of lipid screening; recent, large US cohort studies reporting diagnostic yield or screen positivity; and RCTs of lipid-lowering interventions. Data Extraction and Synthesis Single extraction, verified by a second reviewer. Quantitative synthesis using random-effects meta-analysis. Main Outcomes and Measures Health outcomes, diagnostic yield, intermediate outcomes, behavioral outcomes, and harms. Results Forty-three studies were included (n = 491 516). No RCTs directly addressed screening effectiveness and harms. Three US studies (n = 395 465) reported prevalence of phenotypically defined FH of 0.2% to 0.4% (1:250 to 1:500). Five studies (n = 142 257) reported multifactorial dyslipidemia prevalence; the prevalence of elevated total cholesterol level (≥200 mg/dL) was 7.1% to 9.4% and of any lipid abnormality was 19.2%. Ten RCTs in children and adolescents with FH (n = 1230) demonstrated that statins were associated with an 81- to 82-mg/dL greater mean reduction in levels of total cholesterol and LDL-C compared with placebo at up to 2 years. Nonstatin-drug trials showed statistically significant lowering of lipid levels in FH populations, but few studies were available for any single drug. Observational studies suggest that statin treatment for FH starting in childhood or adolescence reduces long-term cardiovascular disease risk. Two multifactorial dyslipidemia behavioral counseling trials (n = 934) demonstrated 3- to 6-mg/dL greater reductions in total cholesterol levels compared with the control group, but findings did not persist at longest follow-up. Harms reported in the short-term drug trials were similar in the intervention and control groups. Conclusions and Relevance No direct evidence on the benefits or harms of pediatric lipid screening was identified. While multifactorial dyslipidemia is common, no evidence was found that treatment is effective for this condition. In contrast, FH is relatively rare; evidence shows that statins reduce lipid levels in children with FH, and observational studies suggest that such treatment has long-term benefit for this condition.
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Affiliation(s)
- Janelle M Guirguis-Blake
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
- Department of Family Medicine, University of Washington, Tacoma
| | - Corinne V Evans
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
| | - Erin L Coppola
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
| | - Nadia Redmond
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
| | - Leslie A Perdue
- Kaiser Permanente Evidence-based Practice Center, Center for Health Research, Kaiser Permanente, Portland, Oregon
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14
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Mansilla-Rodríguez ME, Romero-Jimenez MJ, Rigabert Sánchez-Junco A, Gutierrez-Cortizo EN, Sánchez-Ramos JL, Mata P, Pang J, Watts GF. Risk factors for cardiovascular events in patients with heterozygous familial hypercholesterolaemia: protocol for a systematic review. BMJ Open 2023; 13:e065551. [PMID: 36990476 PMCID: PMC10069512 DOI: 10.1136/bmjopen-2022-065551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/31/2023] Open
Abstract
INTRODUCTION Heterozygous familial hypercholesterolaemia (heFH) is the most common monogenic cause of premature atherosclerotic cardiovascular disease. The precise diagnosis of heFH is established by genetic testing. This systematic review will investigate the risk factors that predict cardiovascular events in patients with a genetic diagnosis of heFH. METHODS AND ANALYSIS Our literature search will cover publications from database inception until June 2023. We will undertake a search of CINAHL (trial), clinicalKey, Cochrane Library, DynaMed, Embase, Espacenet, Experiments (trial), Fisterra, ÍnDICEs CSIC, LILACS, LISTA, Medline, Micromedex, NEJM Resident 360, OpenDissertations, PEDro, Trip Database, PubPsych, Scopus, TESEO, UpToDate, Web of Science and the grey literature for eligible studies. We will screen the title, abstract and full-text papers for potential inclusion and assess the risk of bias. We will employ the Cochrane tool for randomised controlled trials and non-randomised clinical studies and the Newcastle-Ottawa Scale for assessing the risk of bias in observational studies. We will include full-text peer-reviewed publications, reports of a cohort/registry, case-control and cross-sectional studies, case report/series and surveys related to adults (≥18 years of age) with a genetic diagnostic heFH. The language of the searched studies will be restricted to English or Spanish. The Grading of Recommendations, Assessment, Development and Evaluation approach will be used to assess the quality of the evidence. Based on the data available, the authors will determine whether the data can be pooled in meta-analyses. ETHICS AND DISSEMINATION All data will be extracted from published literature. Hence, ethical approval and patient informed consent are not required. The findings of the systematic review will be submitted for publication in a peer-reviewed journal and presentation at international conferences. PROSPERO REGISTRATION NUMBER CRD42022304273.
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Affiliation(s)
| | | | | | | | | | - Pedro Mata
- Fundación de Hipercolesterolemia Familiar, Madrid, Spain
| | - Jing Pang
- School of Medicine and Pharmacology, University of Western Australia, Perth, Western Australia, Australia
| | - Gerald F Watts
- Cardiometabolic Service, Department of Cardiology and Internal Medicine, Royal Perth Hospital, School of Medicine, University of Western Australia, Perth, Western Australia, Australia
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15
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Kordonouri O, Arens S, Lange K, Christoph J, Marquardt E, Danne TPA. Direct LDL-C estimation in preschoolers: Practicable first step for FH screening. J Clin Lipidol 2023; 17:255-260. [PMID: 36858936 DOI: 10.1016/j.jacl.2023.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 02/09/2023] [Accepted: 02/13/2023] [Indexed: 02/24/2023]
Abstract
BACKGROUND Individuals with FH develop cardiovascular disease due to lifelong cumulative exposure to elevated LDL-C. Effective screening for FH is not yet established. OBJECTIVE To evaluate the practicability of a FH screening by measuring directly the LDL-C in preschoolers. METHODS LDL-C measurement through capillary blood sampling during the compulsory routine check-ups by the pediatrician in children aged 2 to 6 years including information on family history as dyslipidemia and/or premature cardiovascular disease in first and second grade of pedigrees. RESULTS 15,009 children (52.2% males, median age 3.9 years [IQR 3.0-5.1]) participated in the study. Positive family history for hyperlipidemia was stated in 40.9% cases, in 12.0% also in at least one 1st degree relative. In the total cohort, median LDL-C was 93 mg/dL [IQR 79-109 mg/dL]. Boys had significantly higher LDL-C levels than girls (p < 0.0001), whereas there was no difference regarding their age (p = 0.757). Children from families with a positive history for hypercholesterolemia/dyslipidemia had significantly higher LDL-C levels (p < 0.001) and were more frequently among those with LDL-C values above 135 mg/dL (3.5 mmol/L, 96th percentile; 53.2% vs. 40.3%, p < 0.001) and those with LDL-C levels above 160 mg/dL (4.1 mmol/L, 99th percentile; 45.3% vs. 40.7%, p < 0.001) than children without positive family history. CONCLUSIONS Direct measurement of LDL-C levels in children at ages 2-6 years during the compulsory routine check-ups as well as at any voluntary visits to the pediatrician's office is practicable and delivers reliable information, which can be used for a FH screening strategy in the general population.
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Affiliation(s)
| | - Stefan Arens
- Children's Hospital AUF DER BULT, Hannover, Germany
| | - Karin Lange
- Medical Psychology, Hannover Medical School, Hannover, Germany
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16
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Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Fugar S, Generoso G, Heard DG, Hiremath S, Ho JE, Kalani R, Kazi DS, Ko D, Levine DA, Liu J, Ma J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Virani SS, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association. Circulation 2023; 147:e93-e621. [PMID: 36695182 DOI: 10.1161/cir.0000000000001123] [Citation(s) in RCA: 1386] [Impact Index Per Article: 1386.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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17
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Page C, Zheng H, Wang H, Rai TS, O'Kane M, Hart P, McKee S, Watterson S. A comparison of the Netherlands, Norway and UK familial hypercholesterolemia screening programmes with implications for target setting and the UK's NHS long term plan. PLOS GLOBAL PUBLIC HEALTH 2023; 3:e0001795. [PMID: 37097994 PMCID: PMC10128934 DOI: 10.1371/journal.pgph.0001795] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 03/28/2023] [Indexed: 04/26/2023]
Abstract
We sought to determine the most efficacious and cost-effective strategy to follow when developing a national screening programme by comparing and contrasting the national screening programmes of Norway, the Netherlands and the UK. Comparing the detection rates and screening profiles between the Netherlands, Norway, the UK and constituent nations (England, Northern Ireland, Scotland and Wales) it is clear that maximising the number of relatives screened per index case leads to identification of the greatest proportion of an FH population. The UK has stated targets to detect 25% of the population of England with FH across the 5 years to 2024 with the NHS Long Term Plan. However, this is grossly unrealistic and, based on pre-pandemic rates, will only be reached in the year 2096. We also modelled the efficacy and cost-effectiveness of two screening strategies: 1) Universal screening of 1-2-year-olds, 2) electronic healthcare record screening, in both cases coupled to reverse cascade screening. We found that index case detection from electronic healthcare records was 56% more efficacious than universal screening and, depending on the cascade screening rate of success, 36%-43% more cost-effective per FH case detected. The UK is currently trialling universal screening of 1-2-year-olds to contribute to national FH detection targets. Our modelling suggests that this is not the most efficacious or cost-effective strategy to follow. For countries looking to develop national FH programmes, screening of electronic healthcare records, coupled to successful cascade screening to blood relatives is likely to be a preferable strategy to follow.
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Affiliation(s)
- Christopher Page
- Personalised Medicine Centre, School of Biomedical Science, Ulster University, C-TRIC Building, Altnagelvin Area Hospital, Derry, Northern Ireland, United Kingdom
| | - Huiru Zheng
- School of Computing, Ulster University, Belfast, Northern Ireland, United Kingdom
| | - Haiying Wang
- School of Computing, Ulster University, Belfast, Northern Ireland, United Kingdom
| | - Taranjit Singh Rai
- Personalised Medicine Centre, School of Medicine, Ulster University, Derry, Northern Ireland, United Kingdom
| | - Maurice O'Kane
- Western Health and Social Care Trust, Altnagelvin Area Hospital, Derry, Northern Ireland, United Kingdom
| | - Pádraig Hart
- Northern Ireland Regional Genetics Service, Belfast City Hospital, Belfast, Northern Ireland, United Kingdom
| | - Shane McKee
- Northern Ireland Regional Genetics Service, Belfast City Hospital, Belfast, Northern Ireland, United Kingdom
| | - Steven Watterson
- Personalised Medicine Centre, School of Medicine, Ulster University, Derry, Northern Ireland, United Kingdom
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18
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Paetow U, Kordonouri O, Schwab KO. [Advantages of Universal Early Childhood Screening for Familial Hypercholesterolaemia in Germany]. KLINISCHE PADIATRIE 2023; 235:5-12. [PMID: 35240713 DOI: 10.1055/a-1721-2611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Zusammenfassung
Hintergrund Kardiovaskuläre Ereignisse sind die wichtigste
Mortalitätsursache in der westlichen Welt. Die familiäre
Hypercholesterinämie (FH) zeichnet sich durch erhöhte
low-density Lipoprotein-Cholesterin- und Gesamtcholesterin-Spiegel im peripheren
Blut aus. Die FH beruht zumeist auf einer genetischen Veränderung im
LDL-Rezeptorgen und gehört zu den häufigsten monogenen
Erkrankungen. Bei der homozygoten Form ist die Mortalität aufgrund
kardiovaskulärer Ereignisse im Kindes- und Jugendalter extrem hoch. Auch
die heterozygote Form der FH führt unbehandelt früh zu
kardiovaskulären Ereignissen und sollte frühzeitig
diagnostiziert und behandelt werden, um eine Atherosklerose zu vermeiden. Die
präventive und sichere Anwendung einer medikamentösen
Lipidsenkung konnte für Kinder gezeigt werden.
Methode Literatursuche in Cochrane library, Medline, NCBI databases.
Ergebnisse Anders als in europäischen Nachbarländern wurde
in Deutschland im Kindesalter kein universelles Screening auf diese
häufige Erkrankung etabliert, obwohl dies in den Leitlinien gefordert
wird. In der vorliegenden Arbeit wird die Literatur untersucht hinsichtlich der
Kausalität der Erkrankung, der Therapie im Kindesalter sowie
hinsichtlich des Zutreffens klassischer und modifizierter Kriterien für
das Durchführen eines vorgeschlagenen universellen FH-Screenings zum 5.
Geburtstag mit anschließendem reversen Kaskadenscreening bei
Verwandten.
Schlussfolgerung Die Autoren plädieren für die
Einführung eines universellen FH-Screenings in Deutschland zur
Vorsorgeuntersuchung U9 mit 5 Jahren. Eine Analyse anhand des Goldstandards
klassischer Kriterien nach Wilson und Jungner sowie anhand im zeitlichen Kontext
angepasster Kriterien zeigt die Vorteile eines universellen
frühkindlichen FH-Screening. Dieses kann präventiv das
kardiovaskuläre Risiko absenken, das Fortschreiten der Atherosklerose
verlangsamen und zu niedrigeren Inzidenzen von Schlaganfall und Herzinfarkt im
Erwachsenenalter beitragen. Neben den diagnostizierten FH-Kindern können
auch deren betroffene Verwandte erkannt werden.
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Affiliation(s)
- Ulrich Paetow
- Pädiatrische Endokrinologie/Diabetologie und Lipidologie, Klinikum und Fachbereich Medizin Johann Wolfgang Goethe-Universität Frankfurt Zentrum für Kinder- und Jugendmedizin Klinik I, Frankfurt am Main, Germany
| | - Olga Kordonouri
- Allgemeinpädiatrie, Diabetologie/Endokrinologie, Gastroenterologie und Klinische Forschung, Kinder- und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | - Karl Otfried Schwab
- Zentrum für Kinder- und Jugendmedizin, Pädiatrische Endokrinologie, Diabetologie, Lipidologie und klinische Forschung, Universitätsklinikum Freiburg im Breisgau, Germany
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19
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Khoury M, Bigras JL, Cummings EA, Harris KC, Hegele RA, Henderson M, Morrison KM, St-Pierre J, Wong PD, McCrindle BW. The Detection, Evaluation, and Management of Dyslipidemia in Children and Adolescents: A Canadian Cardiovascular Society/Canadian Pediatric Cardiology Association Clinical Practice Update. Can J Cardiol 2022; 38:1168-1179. [PMID: 35961755 DOI: 10.1016/j.cjca.2022.05.002] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 05/02/2022] [Accepted: 05/05/2022] [Indexed: 12/20/2022] Open
Abstract
Atherosclerosis begins in youth and is directly linked with the presence and severity of cardiovascular risk factors, including dyslipidemia. Thus, the timely identification and management of dyslipidemia in childhood might slow atherosclerotic progression and decrease the risk of cardiovascular disease in adulthood. This is particularly true for children with genetic disorders resulting in marked dyslipidemia, including familial hypercholesterolemia, which remains frequently undiagnosed. Universal and cascade screening strategies can effectively identify cases of pediatric dyslipidemia. In the clinical evaluation of children with dyslipidemia, evaluating for secondary causes of dyslipidemia, including medications and systemic disorders is essential. The first line therapy generally centres around lifestyle modifications, with dietary changes specific to the dyslipidemia phenotype. Indications for medication depend on the severity of dyslipidemia and an individualized assessment of cardiovascular risk. Despite an expanding evidence base supporting the detection and timely management of pediatric dyslipidemia, numerous knowledge gaps remain, including a sufficient evidence base to support more widespread screening, thresholds for initiation of pharmacotherapy, and treatment targets. Further studies on the most appropriate age for statin initiation and long-term safety studies of statin use in youth are also required. The most pressing matter, however, is the development of knowledge translation strategies to improve the screening and detection of lipid disorders in Canadian youth.
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Affiliation(s)
- Michael Khoury
- Division of Pediatric Cardiology, Department of Pediatrics Stollery Children's Hospital, University of Alberta, Edmonton, Alberta, Canada.
| | - Jean-Luc Bigras
- Division of Pediatric Cardiology, Department of Pediatrics, University of Montreal, Montreal, Quebec, Canada
| | - Elizabeth A Cummings
- Division of Pediatric Endocrinology, Department of Pediatrics, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Kevin C Harris
- Children's Heart Centre, BC Children's Hospital and University of British Columbia, Vancouver, British Columbia, Canada
| | - Robert A Hegele
- Department of Medicine, Schulich School of Medicine and Dentistry, London, Ontario, Canada
| | - Mélanie Henderson
- Department of Pediatrics, Université de Montréal, Montreal, Quebec, Canada; Centre de Recherche CHU Sainte-Justine, Montreal, Quebec, Canada; School of Public Health, Department of Social and Preventive Medicine, Université de Montréal, Montreal, Quebec, Canada
| | - Katherine M Morrison
- Centre for Metabolism, Obesity and Diabetes Research, Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
| | - Julie St-Pierre
- Department of Pediatrics, McGill University, Montreal, Quebec, Canada
| | - Peter D Wong
- Division of Pediatric Medicine, Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Brian W McCrindle
- Labatt Family Heart Centre, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
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20
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Universal screening for familial hypercholesterolemia in 2 populations. Genet Med 2022; 24:2103-2111. [PMID: 35913489 DOI: 10.1016/j.gim.2022.06.010] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 06/24/2022] [Accepted: 06/24/2022] [Indexed: 10/16/2022] Open
Abstract
PURPOSE In Europe, >2 million individuals with familial hypercholesterolemia (FH) are currently undiagnosed. Effective screening strategies for FH diagnosis in childhood are urgently needed. We assessed the overall performances of 2 different FH screening programs in children: universal screening program with opt-out and opt-in type participation. METHODS We analyzed the data from 2 independent populations based on >166,000 individuals screened for hypercholesterolemia. Genetic analyses of FH-related genes were finalized in 945 children and 99 parents. RESULTS A total of 305 (32.3%) children were genotyped as positive or with a variant of uncertain significance in FH-related genes. For low-density lipoprotein cholesterol levels of 3.5 mmol L (135.3 mg/dL), the overall sensitivity and specificity for confirming FH were 90.5% and 55.3%, respectively. As part of child-parent screening, in >90% of the families, the parent with reported higher cholesterol levels was positive for the familial genetic variant. The cohort-based prevalence of FH from the opt-out universal screening program was estimated to be 1 in 431 individuals (95% CI = 1/391-1/472). CONCLUSION Universal 3-step FH screening approach in children enabled detection of most children and their parents in every generation screened at reasonable costs. Opt-out screening strategy might be preferable over opt-in screening strategy.
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21
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Mainieri F, Tagi VM, Chiarelli F. Recent Advances on Familial Hypercholesterolemia in Children and Adolescents. Biomedicines 2022; 10:1043. [PMID: 35625781 PMCID: PMC9139047 DOI: 10.3390/biomedicines10051043] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 04/27/2022] [Accepted: 04/28/2022] [Indexed: 02/04/2023] Open
Abstract
Familial hypercholesterolemia is a common autosomal hereditary disorder characterized by elevated concentrations of low-density lipoprotein cholesterol and the development of premature atherosclerosis and cardiovascular disease. Early diagnosis, as well as prompt and aggressive treatment, are fundamental steps to prevent cardiovascular complications and a high rate of premature mortality in children and adolescents. Clinics and genetics are the two main aspects on which diagnosis is based. Widespread screening programs are a respectable option for the early detection of familial hypercholesterolemia. Different types of screening have been proposed so far; however, the optimal screening program has not yet been found. The treatment approach for both heterozygous and homozygous familial hypercholesterolemia in the pediatric population is multidisciplinary, including lifestyle modifications, standard lipid-lowering medications, and novel pharmacological agents. The latter show promising results, especially for patients who experience intolerance to other treatment or present with more severe conditions. Our purpose is to focus on the importance of the early detection of familial hypercholesterolemia, and to highlight the best therapeutic strategies, including the recent approaches based on current clinical evidence, that need to be adopted from the earliest stages of life.
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Affiliation(s)
- Francesca Mainieri
- Department of Paediatrics, University of Chieti, 66100 Chieti, Italy; (V.M.T.); (F.C.)
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22
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Tsao CW, Aday AW, Almarzooq ZI, Alonso A, Beaton AZ, Bittencourt MS, Boehme AK, Buxton AE, Carson AP, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Ferguson JF, Generoso G, Ho JE, Kalani R, Khan SS, Kissela BM, Knutson KL, Levine DA, Lewis TT, Liu J, Loop MS, Ma J, Mussolino ME, Navaneethan SD, Perak AM, Poudel R, Rezk-Hanna M, Roth GA, Schroeder EB, Shah SH, Thacker EL, VanWagner LB, Virani SS, Voecks JH, Wang NY, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association. Circulation 2022; 145:e153-e639. [PMID: 35078371 DOI: 10.1161/cir.0000000000001052] [Citation(s) in RCA: 2553] [Impact Index Per Article: 1276.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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23
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Martin AC, Hooper AJ, Norman R, Nguyen LT, Burnett JR, Bell DA, Brett T, Garton-Smith J, Pang J, Nowak KJ, Watts GF. Pilot study of universal screening of children and child-parent cascade testing for familial hypercholesterolaemia in Australia. J Paediatr Child Health 2022; 58:281-287. [PMID: 34387892 DOI: 10.1111/jpc.15700] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 07/21/2021] [Accepted: 08/01/2021] [Indexed: 12/26/2022]
Abstract
AIM Familial hypercholesterolaemia (FH) is a common and treatable cause of premature coronary artery disease. However, the majority of individuals with FH remain undiagnosed. This study investigated the feasibility, acceptability and cost-effectiveness of screening children aged 1-2 years for FH at the time of an immunisation. METHODS Children 1-2 years of age were offered screening for FH with a point-of-care total cholesterol (TC) test by capillary-collected blood sample at the time of an immunisation. An additional blood sample was taken to allow genetic testing if the TC level was above the 95th percentile (>5.3 mmol/L). Parents of children diagnosed with FH were offered testing. Following detection of the affected parent, cascade testing of their first-degree blood relatives was performed. RESULTS We screened 448 children with 32 (7.1%) having a TC ≥ 5.3 mmol/L. The FH diagnosis was confirmed in three children (1:150 screened). Reverse cascade testing of other family members identified a further five individuals with FH; hence, eight new cases of FH were diagnosed from screening 448 children (1:56 screened). Ninety-six percent of parents would screen future children for FH. The approach was cost-effective, at $3979 per quality-adjusted life year gained. CONCLUSION In Western Australia, universal screening of children aged 1-2 years for FH, undertaken at the time of an immunisation, was a feasible and effective approach to detect children, parents and other blood relatives with FH. The approach was acceptable to parents and is potentially a highly cost-effective detection strategy for families at risk of FH.
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Affiliation(s)
- Andrew C Martin
- Department of General Paediatrics, Perth Children's Hospital, Perth, Western Australia, Australia.,School of Medicine, University of Western Australia, Perth, Western Australia, Australia
| | - Amanda J Hooper
- School of Medicine, University of Western Australia, Perth, Western Australia, Australia.,Department of Clinical Biochemistry, PathWest Laboratory Medicine, Perth, Western Australia, Australia
| | - Richard Norman
- School of Public Health, Curtin University, Perth, Western Australia, Australia
| | - Lan T Nguyen
- Department of Clinical Biochemistry, PathWest Laboratory Medicine, Perth, Western Australia, Australia
| | - John R Burnett
- School of Medicine, University of Western Australia, Perth, Western Australia, Australia.,Department of Clinical Biochemistry, PathWest Laboratory Medicine, Perth, Western Australia, Australia.,Lipid Disorders Clinic, Cardiometabolic Service, Royal Perth Hospital, Perth, Western Australia, Australia
| | - Damon A Bell
- School of Medicine, University of Western Australia, Perth, Western Australia, Australia.,Department of Clinical Biochemistry, PathWest Laboratory Medicine, Perth, Western Australia, Australia.,Lipid Disorders Clinic, Cardiometabolic Service, Royal Perth Hospital, Perth, Western Australia, Australia
| | - Tom Brett
- General Practice and Primary Health Care Research, School of Medicine, University of Notre Dame, Fremantle, Western Australia, Australia
| | - Jacquie Garton-Smith
- Clinical Excellence Division, Department of Health, Health Networks, Perth, Western Australia, Australia
| | - Jing Pang
- School of Medicine, University of Western Australia, Perth, Western Australia, Australia
| | - Kristen J Nowak
- Public and Aboriginal Health Division, Department of Health, Office of Population Health Genomics, Perth, Western Australia, Australia
| | - Gerald F Watts
- School of Medicine, University of Western Australia, Perth, Western Australia, Australia.,Lipid Disorders Clinic, Cardiometabolic Service, Royal Perth Hospital, Perth, Western Australia, Australia
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24
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Marquina C, Lacaze P, Tiller J, Riaz M, Sturm AC, Nelson MR, Ference BA, Pang J, Watts GF, Nicholls SJ, Zoungas S, Liew D, McNeil J, Ademi Z. Population genomic screening of young adults for familial hypercholesterolaemia: a cost-effectiveness analysis. Eur Heart J 2021; 43:3243-3254. [PMID: 34788414 DOI: 10.1093/eurheartj/ehab770] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 07/29/2021] [Accepted: 10/22/2021] [Indexed: 12/18/2022] Open
Abstract
AIMS The aim of this study was to assess the impact and cost-effectiveness of offering population genomic screening to all young adults in Australia to detect heterozygous familial hypercholesterolaemia (FH). METHODS AND RESULTS We designed a decision analytic Markov model to compare the current standard of care for heterozygous FH diagnosis in Australia (opportunistic cholesterol screening and genetic cascade testing) with the alternate strategy of population genomic screening of adults aged 18-40 years to detect pathogenic variants in the LDLR/APOB/PCSK9 genes. We used a validated cost-adaptation method to adapt findings to eight high-income countries. The model captured coronary heart disease (CHD) morbidity/mortality over a lifetime horizon, from healthcare and societal perspectives. Risk of CHD, treatment effects, prevalence, and healthcare costs were estimated from published studies. Outcomes included quality-adjusted life years (QALYs), costs and incremental cost-effectiveness ratio (ICER), discounted 5% annually. Sensitivity analyses were undertaken to explore the impact of key input parameters on the robustness of the model. Over the lifetime of the population (4 167 768 men; 4 129 961 women), the model estimated a gain of 33 488years of life lived and 51 790 QALYs due to CHD prevention. Population genomic screening for FH would be cost-effective from a healthcare perspective if the per-test cost was ≤AU$250, yielding an ICER of <AU$28 000 per QALY gained. From a societal perspective, population genomic screening would be cost-saving. ICERs from societal perspective remained cost-saving after adaptation to other countries. CONCLUSION Based on our model, offering population genomic screening to all young adults for FH could be cost-effective, at testing costs that are feasible.
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Affiliation(s)
- Clara Marquina
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, VIC 3004, Australia
| | - Paul Lacaze
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, VIC 3004, Australia
| | - Jane Tiller
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, VIC 3004, Australia
| | - Moeen Riaz
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, VIC 3004, Australia
| | - Amy C Sturm
- Genomic Medicine Institute, 100 North Academy Avenue, Geisinger, PA 17822, USA
| | - Mark R Nelson
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, VIC 3004, Australia.,Menzies Institute for Medical Research, 17 Liverpool St, Hobart, TAS 7000, Australia
| | - Brian A Ference
- University of Cambridge, Centre for Naturally Randomised Trials, The Old Schools, Trinity Ln, Cambridge CB2 1TN, UK
| | - Jing Pang
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, 35 Stirling Hwy, Perth, WA 6009, Australia
| | - Gerald F Watts
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, 35 Stirling Hwy, Perth, WA 6009, Australia.,Lipid Disorders Clinic, Cardiometabolic Service, Department of Cardiology, Royal Perth Hospital, Victoria Square, Perth, WA 6000, Australia.,Lipid Disorders Clinic, Cardiometabolic Service, Department of Internal Medicine, Royal Perth Hospital, Victoria Square, Perth, WA 6000, Australia
| | - Stephen J Nicholls
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, VIC 3004, Australia
| | - Sophia Zoungas
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, VIC 3004, Australia
| | - Danny Liew
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, VIC 3004, Australia
| | - John McNeil
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, VIC 3004, Australia
| | - Zanfina Ademi
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, VIC 3004, Australia
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25
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Futema M, Taylor-Beadling A, Williams M, Humphries SE. Genetic testing for familial hypercholesterolemia-past, present, and future. J Lipid Res 2021; 62:100139. [PMID: 34666015 PMCID: PMC8572866 DOI: 10.1016/j.jlr.2021.100139] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 09/22/2021] [Accepted: 10/02/2021] [Indexed: 01/01/2023] Open
Abstract
In the early 1980s, the Nobel Prize winning cellular and molecular work of Mike Brown and Joe Goldstein led to the identification of the LDL receptor gene as the first gene where mutations cause the familial hypercholesterolemia (FH) phenotype. We now know that autosomal dominant monogenic FH can be caused by pathogenic variants of three additional genes (APOB/PCSK9/APOE) and that the plasma LDL-C concentration and risk of premature coronary heart disease differs according to the specific locus and associated molecular cause. It is now possible to use next-generation sequencing to sequence all exons of all four genes, processing 96 patient samples in one sequencing run, increasing the speed of test results, and reducing costs. This has resulted in the identification of not only many novel FH-causing variants but also some variants of unknown significance, which require further evidence to classify as pathogenic or benign. The identification of the FH-causing variant in an index case can be used as an unambiguous and rapid test for other family members. An FH-causing variant can be found in 20-40% of patients with the FH phenotype, and we now appreciate that in the majority of patients without a monogenic cause, a polygenic etiology for their phenotype is highly likely. Compared with those with a monogenic cause, these patients have significantly lower risk of future coronary heart disease. The use of these molecular genetic diagnostic methods in the characterization of FH is a prime example of the utility of precision or personalized medicine.
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Affiliation(s)
- Marta Futema
- Centre for Heart Muscle Disease, Institute of Cardiovascular Science, University College London, London, United Kingdom; Molecular and Clinical Sciences Research Institute, St George's University of London, London, United Kingdom
| | - Alison Taylor-Beadling
- Regional Molecular Genetics Laboratory, Great Ormond Street Hospital for Children, London, United Kingdom
| | | | - Steve E Humphries
- Institute of Cardiovascular Science, University College London, London, United Kingdom.
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Gutiérrez-Cortizo EN, Romero-Jiménez MJ, Rodríguez MEM, Santos MAD, Granado FJC, Ruiz-Granados ES, Ramos JLS, Mata P. Detection of Familial Hypercholesterolemia through centralized analytical data. HF HUELVA DETECTA Program. ENDOCRINOL DIAB NUTR 2021; 68:450-457. [PMID: 34863409 DOI: 10.1016/j.endien.2021.11.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 09/29/2020] [Indexed: 06/13/2023]
Abstract
BACKGROUND Familial Hypercholesterolemia is the most frequent genetic cause of premature coronary heart disease. The delay in the diagnosis prevents the correct early treatment. There are no effective screening strategies at the national level that ensure a correct diagnosis. OBJECTIVE To determine the capacity of a centralized laboratory for the diagnosis of Familial Hypercholesterolemia through the creation of a health program for population screening in the province of Huelva. METHOD Active search of patients with primary hypercholesterolemia through the blood tests carried out in the reference laboratories with results of low-density lipoprotein cholesterol greater than 200 mg/dl and assessment in the Lipid Unit of Huelva to identify index cases, with subsequent family cascade screening. RESULTS 37,440 laboratory tests with lipid profile were examined. After screening, 846 individuals were seen in the Lipid Unit, of which they were diagnosed according to criteria of the Dutch Lipid Clinic Network as possible 654 and probable/definitive 192 individuals, representing 1.74% and 0.51% of the general population examined respectively. CONCLUSIONS The point prevalence of Familial Hypercholesterolemia in patients submitted to laboratory lipid profile tests was 1:195, higher compared to the prevalence of Familial Hypercholesterolemia in the general population (based on 1 in 200-300). The opportunistic search strategy of the index case through a laboratory alert and centralized screening is an efficient strategy to implement a national screening for the diagnosis of Familial Hypercholesterolemia.
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Affiliation(s)
| | | | | | | | | | | | | | - Pedro Mata
- Fundación de Hipercolesterolemia Familia, Madrid, Spain
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27
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Gutiérrez-Cortizo EN, Romero-Jiménez MJ, Mansilla Rodríguez ME, Díaz Santos MA, Caballero Granado FJ, Sánchez Ruiz-Granados E, Sánchez Ramos JL, Mata P. Detección de hipercolesterolemia familiar a través de datos analíticos centralizados. Programa DETECTA HF HUELVA. ENDOCRINOL DIAB NUTR 2021. [DOI: 10.1016/j.endinu.2020.09.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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28
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Wald DS, Martin AC. Decision to reject screening for familial hypercholesterolaemia is flawed. Arch Dis Child 2021; 106:525-526. [PMID: 32601084 DOI: 10.1136/archdischild-2020-319168] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 06/03/2020] [Indexed: 11/04/2022]
Affiliation(s)
- David S Wald
- Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK
| | - Andrew C Martin
- Dept of Paediatric and Adolescent Medicine, Princess Margaret Hospital for Children, Perth, Western Australia, Australia
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Zamora A, Paluzie G, García-Vilches J, Alonso Gisbert O, Méndez Martínez AI, Plana N, Rodríguez-Borjabad C, Ibarretxe D, Martín-Urda A, Masana L. Massive data screening is a second opportunity to improve the management of patients with familial hypercholesterolemia phenotype. CLINICA E INVESTIGACION EN ARTERIOSCLEROSIS 2021; 33:138-147. [PMID: 33618913 DOI: 10.1016/j.arteri.2020.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Revised: 11/07/2020] [Accepted: 11/10/2020] [Indexed: 10/22/2022]
Abstract
INTRODUCTION Familial Hypercholesterolemia (FH) is an autosomal dominant disease with an estimated prevalence between 1/200-250. It is under-treated and underdiagnosed. Massive data screening can increase the detection of patients with FH. METHODS Study population: Residents in the health coverage area (N: 195.000 inhabitants) and with at least one determination of cholesterol linked to low-density lipoproteins (LDL-C) carried out between January 1, 2010 and December 30, 2019. The highest LDL-C values were selected. EXCLUSION CRITERIA nephrotic syndrome, hypothyroidism, Hypothyroid treatment or triglycerides> 400 mg / dL. Seven algorithms suggestive of Familial Hypercholesterolemia Phenotype (HF-P) were analyzed, selecting the most efficient algorithm that could easily be translated into clinical practice. RESULTS Based on 6.264.877 assistances and 288.475 patients, after applying the inclusion-exclusion criteria, 504.316 tests were included, corresponding to 106.382 adults and 10.509 <18 years. The selected algorithm presented a prevalence of 0.62%. 840 patients with HF-P were detected, 55.8% being women and 178 <18 years old, 9.3% had a history of cardiovascular disease (CVD) and 16.4% had died. 65% of the patients in primary prevention had LDL-C values> 130 mg / dL and 83% in secondary prevention values> 70mg / dL. A ratio of 7.64 (1-18) patients with HF-P per analytical requesting physician was obtained. CONCLUSIONS Massive data screening and patient profiling are effective tools and easily applicable in clinical practice for the detection of patients with FH.
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Affiliation(s)
- Alberto Zamora
- Unidad de Lípidos y Riesgo Vascular, Servicio de Medicina Interna, Hospital de Blanes, Corporació de Salut del Maresme i la Selva, Blanes, Girona, España; Grupo de Medicina Traslacional y Ciencias de la Decisión, Departamento de Ciencias Médicas, Facultad de Medicina, Universidad de Girona, Girona, España; Grupo Epidemiología Cardiovascular y Genética. CIBER, Enfermedades Cardiovasculares (CIBERCV), Barcelona, España.
| | - Guillem Paluzie
- Unidad de Información y Documentación Asistencial, Corporació de Salut del Maresme I la Selva, Barcelona, España
| | - Joan García-Vilches
- Departamento de Informática, Corporació de Salut del Maresme i la Selva, Barcelona, España
| | - Oriol Alonso Gisbert
- Servicio de Medicina Interna, Hospital Sant Jaume de Calella, Corporació de Salut del Maresme i la Selva, Barcelona, España
| | - Ana Inés Méndez Martínez
- Servicio de Medicina Interna, Hospital Sant Jaume de Calella, Corporació de Salut del Maresme i la Selva, Barcelona, España
| | - Núria Plana
- Unitat de Medicina Vascular i Metabolisme, Hospital Universitari Sant Joan de Reus, IISPV, Universitat Rovira i Virgili, CIBERDEM, Reus, España
| | - Cèlia Rodríguez-Borjabad
- Unitat de Medicina Vascular i Metabolisme, Hospital Universitari Sant Joan de Reus, IISPV, Universitat Rovira i Virgili, CIBERDEM, Reus, España
| | - Daiana Ibarretxe
- Unitat de Medicina Vascular i Metabolisme, Hospital Universitari Sant Joan de Reus, IISPV, Universitat Rovira i Virgili, CIBERDEM, Reus, España
| | - Anabel Martín-Urda
- Servicio de Medicina Interna, Hospital de Palamòs, Serveis de Salut Integrats Baix Empordà, Girona, España
| | - Luis Masana
- Unitat de Medicina Vascular i Metabolisme, Hospital Universitari Sant Joan de Reus, IISPV, Universitat Rovira i Virgili, CIBERDEM, Reus, España
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Ibrahim S, Reeskamp LF, Stroes ESG, Watts GF. Advances, gaps and opportunities in the detection of familial hypercholesterolemia: overview of current and future screening and detection methods. Curr Opin Lipidol 2020; 31:347-355. [PMID: 33027222 DOI: 10.1097/mol.0000000000000714] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW Studies reaffirm that familial hypercholesterolemia is more prevalent than initially considered, with a population frequency of approximately one in 300. The majority of patients remains unidentified. This warrants critical evaluation of existing screening methods and exploration of novel methods of detection. RECENT FINDINGS New public policy recommendations on the detection of familial hypercholesterolemia have been made by a global community of experts and advocates. Phenotypic tools for diagnosing index cases remain inaccurate. Genetic testing is the gold standard for familial hypercholesterolemia and a new international position statement has been published. Correction of LDL cholesterol (LDL-C) for the cholesterol content of lipoprotein(a) [Lp(a)] may increase the precision of the phenotypic diagnosis of familial hypercholesterolemia. Cascade cotesting for familial hypercholesterolemia and elevated Lp(a) levels provides a new opportunity to stratify risk in families. Digital technology and machine learning methods, coupled with clinical alert and decision support systems, lead the way in more efficient approaches for detecting and managing index cases. Universal screening of children, combined with child-parent cascade testing, appears to be the most effective method for underpinning a population strategy for maximizing the detection of familial hypercholesterolemia. SUMMARY Detection of familial hypercholesterolemia can be enhanced by optimizing current diagnostic algorithms, probing electronic health records with novel information technologies and integrating universal screening of children with cascade testing of parents and other relatives.
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Affiliation(s)
- Shirin Ibrahim
- Department of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Laurens F Reeskamp
- Department of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Erik S G Stroes
- Department of Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Gerald F Watts
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Crawley
- Lipid Disorders Clinic, Cardiometabolic Service, Departments of Cardiology and Internal Medicine, Royal Perth Hospital, Perth, Western Australia, Australia
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