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Peres M, Moreira-Rosário A, Padeira G, Gaspar Silva P, Correia C, Nunes A, Garcia E, Faria A, Teixeira D, Calhau C, Pereira-da-Silva L, Ferreira AC, Rocha JC. Biochemical and Anthropometric Outcomes in Paediatric Patients with Heterozygous Familial Hypercholesterolemia after COVID-19 Pandemic Lockdowns: An Exploratory Analysis. Nutrients 2024; 16:2170. [PMID: 38999917 PMCID: PMC11242984 DOI: 10.3390/nu16132170] [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: 05/10/2024] [Revised: 07/03/2024] [Accepted: 07/03/2024] [Indexed: 07/14/2024] Open
Abstract
The COVID-19 pandemic lockdowns affected the lifestyles of children and adolescents, leading to an increase in childhood obesity. Paediatric patients with familial hypercholesterolemia (FH) may be more susceptible to lockdown effects due to their increased cardiovascular risk. However, data are lacking. We investigated the effect of lockdowns on the metabolic profile of paediatric patients with FH. Blood lipids and anthropometry measured in September 2021-April 2022 were retrospectively compared with pre-pandemic values. Thirty participants were included (1-16 years; 57% female). From baseline to post-pandemic, median [P25, P75] blood LDL-C concentration was 125 [112, 150] mg/dL vs. 125 [100, 147] mg/dL (p = 0.894); HDL-C was 58 [52, 65] mg/dL vs. 56 [51, 61] mg/dL (p = 0.107); triglycerides were 64 [44, 86] mg/dL vs. 59 [42, 86] mg/dL (p = 0.178). The BMI z-score did not change significantly (0.19 [-0.58, 0.89] vs. 0.30 [-0.48, 1.10], p = 0.524). The lack of deterioration in metabolic profiles during lockdowns is positive, as some deterioration was expected. We speculate that patients and caregivers were successfully educated about healthy lifestyle and dietary habits. Our results should be interpreted with caution since the study sample was small and heterogeneous. Multicentre research is needed to better understand the impact of lockdowns on this population.
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Affiliation(s)
- Maria Peres
- Nutrition and Metabolism, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisboa, Portugal
| | - André Moreira-Rosário
- Nutrition and Metabolism, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisboa, Portugal
- CHRC-Comprehensive Health Research Centre, Nutrition Group, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisboa, Portugal
- CINTESIS-Center for Health Technology and Services Research, NOVA Medical School, 1169-056 Lisboa, Portugal
| | - Gonçalo Padeira
- Reference Centre of Inherited Metabolic Diseases, Unidade Local de Saúde São José, Centro Clínico Académico de Lisboa, 1169-045 Lisboa, Portugal
| | - Patrícia Gaspar Silva
- Reference Centre of Inherited Metabolic Diseases, Unidade Local de Saúde São José, Centro Clínico Académico de Lisboa, 1169-045 Lisboa, Portugal
| | - Carla Correia
- Reference Centre of Inherited Metabolic Diseases, Unidade Local de Saúde São José, Centro Clínico Académico de Lisboa, 1169-045 Lisboa, Portugal
| | - Andreia Nunes
- Reference Centre of Inherited Metabolic Diseases, Unidade Local de Saúde São José, Centro Clínico Académico de Lisboa, 1169-045 Lisboa, Portugal
| | - Elisabete Garcia
- Reference Centre of Inherited Metabolic Diseases, Unidade Local de Saúde São José, Centro Clínico Académico de Lisboa, 1169-045 Lisboa, Portugal
| | - Ana Faria
- Nutrition and Metabolism, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisboa, Portugal
- CHRC-Comprehensive Health Research Centre, Nutrition Group, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisboa, Portugal
| | - Diana Teixeira
- Nutrition and Metabolism, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisboa, Portugal
- CHRC-Comprehensive Health Research Centre, Nutrition Group, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisboa, Portugal
| | - Conceição Calhau
- Nutrition and Metabolism, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisboa, Portugal
- CHRC-Comprehensive Health Research Centre, Nutrition Group, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisboa, Portugal
- CINTESIS-Center for Health Technology and Services Research, NOVA Medical School, 1169-056 Lisboa, Portugal
| | - Luís Pereira-da-Silva
- CHRC-Comprehensive Health Research Centre, Nutrition Group, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisboa, Portugal
- Medicine of Woman, Childhood and Adolescence Academic Area, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisboa, Portugal
| | - Ana Cristina Ferreira
- Reference Centre of Inherited Metabolic Diseases, Unidade Local de Saúde São José, Centro Clínico Académico de Lisboa, 1169-045 Lisboa, Portugal
| | - Júlio César Rocha
- Nutrition and Metabolism, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisboa, Portugal
- CHRC-Comprehensive Health Research Centre, Nutrition Group, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisboa, Portugal
- CINTESIS-Center for Health Technology and Services Research, NOVA Medical School, 1169-056 Lisboa, Portugal
- Reference Centre of Inherited Metabolic Diseases, Unidade Local de Saúde São José, Centro Clínico Académico de Lisboa, 1169-045 Lisboa, Portugal
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Medeiros AM, Alves AC, Miranda B, Chora JR, Bourbon M. Unraveling the genetic background of individuals with a clinical familial hypercholesterolemia phenotype. J Lipid Res 2024; 65:100490. [PMID: 38122934 PMCID: PMC10832474 DOI: 10.1016/j.jlr.2023.100490] [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: 09/01/2023] [Revised: 12/04/2023] [Accepted: 12/14/2023] [Indexed: 12/23/2023] Open
Abstract
Familial hypercholesterolemia (FH) is a common genetic disorder of lipid metabolism caused by pathogenic/likely pathogenic variants in LDLR, APOB, and PCSK9 genes. Variants in FH-phenocopy genes (LDLRAP1, APOE, LIPA, ABCG5, and ABCG8), polygenic hypercholesterolemia, and hyperlipoprotein (a) [Lp(a)] can also mimic a clinical FH phenotype. We aim to present a new diagnostic tool to unravel the genetic background of clinical FH phenotype. Biochemical and genetic study was performed in 1,005 individuals with clinical diagnosis of FH, referred to the Portuguese FH Study. A next-generation sequencing panel, covering eight genes and eight SNPs to determine LDL-C polygenic risk score and LPA genetic score, was validated, and used in this study. FH was genetically confirmed in 417 index cases: 408 heterozygotes and 9 homozygotes. Cascade screening increased the identification to 1,000 FH individuals, including 11 homozygotes. FH-negative individuals (phenotype positive and genotype negative) have Lp(a) >50 mg/dl (30%), high polygenic risk score (16%), other monogenic lipid metabolism disorders (1%), and heterozygous pathogenic variants in FH-phenocopy genes (2%). Heterozygous variants of uncertain significance were identified in primary genes (12%) and phenocopy genes (7%). Overall, 42% of our cohort was genetically confirmed with FH. In the remaining individuals, other causes for high LDL-C were identified in 68%. Hyper-Lp(a) or polygenic hypercholesterolemia may be the cause of the clinical FH phenotype in almost half of FH-negative individuals. A small part has pathogenic variants in ABCG5/ABCG8 in heterozygosity that can cause hypercholesterolemia and should be further investigated. This extended next-generation sequencing panel identifies individuals with FH and FH-phenocopies, allowing to personalize each person's treatment according to the affected pathway.
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Affiliation(s)
- Ana Margarida Medeiros
- Unidade de I&D, Grupo de Investigação Cardiovascular, Departamento de Promoção da Saúde e Prevenção de Doenças Não Transmissíveis, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisboa, Portugal; BioISI - Biosystems & Integrative Sciences Institute, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Ana Catarina Alves
- Unidade de I&D, Grupo de Investigação Cardiovascular, Departamento de Promoção da Saúde e Prevenção de Doenças Não Transmissíveis, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisboa, Portugal; BioISI - Biosystems & Integrative Sciences Institute, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Beatriz Miranda
- Unidade de I&D, Grupo de Investigação Cardiovascular, Departamento de Promoção da Saúde e Prevenção de Doenças Não Transmissíveis, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisboa, Portugal; BioISI - Biosystems & Integrative Sciences Institute, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Joana Rita Chora
- Unidade de I&D, Grupo de Investigação Cardiovascular, Departamento de Promoção da Saúde e Prevenção de Doenças Não Transmissíveis, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisboa, Portugal; BioISI - Biosystems & Integrative Sciences Institute, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Mafalda Bourbon
- Unidade de I&D, Grupo de Investigação Cardiovascular, Departamento de Promoção da Saúde e Prevenção de Doenças Não Transmissíveis, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisboa, Portugal; BioISI - Biosystems & Integrative Sciences Institute, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal.
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Vikulova DN, Pinheiro-Muller D, Rojas-Fernandez C, Leblond F, Pimstone SN, Brunham LR. Longitudinal Control of Lipid Levels in Patients With Premature Coronary Artery Disease. JACC. ADVANCES 2023; 2:100696. [PMID: 38938482 PMCID: PMC11198583 DOI: 10.1016/j.jacadv.2023.100696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 09/05/2023] [Accepted: 09/12/2023] [Indexed: 06/29/2024]
Abstract
Background Lipid-lowering therapy (LLT) is a central aspect of the treatment of patients with coronary artery disease (CAD), and the benefits of LLT accrue over time. However, there are limited real-world data on longitudinal lipid control in patients with premature CAD. Objectives The purpose of this study was to assess longitudinal attainment of guideline-recommended lipid goals and outcomes in a contemporary cohort of patients with premature CAD. Methods We enrolled males younger than 50 years and females younger than 55 years with coronary stenosis of >50% and examined achievement of lipid goals, LLT characteristics, and cardiovascular outcomes (major adverse cardiovascular event [MACE]). Results Of 476 patients who presented with acute coronary syndrome (ST-elevation myocardial infarction, non-ST-segment elevation myocardial infarction, unstable angina) (68%), stable angina (28%), or other symptoms, 73.2% achieved low-density lipoprotein cholesterol (LDL-C) <1.8 mmol/L on at least 1 occasion, but only 27.3% consistently stayed in the target range for 3 years after diagnosis. Although 73.9% of patients received high-intensity LLT at the time of diagnosis, only 43.5% had good adherence over the following 3 years. In multivariable analysis, 1 mmol/L increase in time-weighted average exposure to LDL-C, but not the lowest achieved LDL-C, was associated with a higher risk of MACE, hazard ratio 2.02 (95% CI: 1.48-2.76), when adjusted for sex, age, hypertension, diabetes, and smoking. Conclusions We found low rates of longitudinal lipid target achievement in patients with premature CAD. Cumulative LDL-C exposure, but not lowest achieved LDL-C, was associated with risk of MACE. This highlights the critical importance of longitudinal control of lipids levels and identifies opportunities to improve LLT and maximize the time-dependent benefits of lipid-lowering.
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Affiliation(s)
- Diana N. Vikulova
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, Canada
- Department of Medicine, University of British Columbia, Vancouver, Canada
| | | | | | | | - Simon N. Pimstone
- Department of Medicine, University of British Columbia, Vancouver, Canada
- Division of Cardiology, University of British Columbia, Vancouver, Canada
| | - Liam R. Brunham
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, Canada
- Department of Medicine, University of British Columbia, Vancouver, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, Canada
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Chua YA, Nazli SA, Rosman A, Kasim SS, Ibrahim KS, Md Radzi AB, Mohd Kasim NA, Nawawi H. Attainment of Low-Density Lipoprotein Cholesterol Targets and Prescribing Pattern of Lipid-Lowering Medications among Patients with Familial Hypercholesterolemia Attending Specialist Clinics. J Atheroscler Thromb 2023; 30:1317-1326. [PMID: 36567112 PMCID: PMC10564645 DOI: 10.5551/jat.63389] [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: 12/07/2021] [Accepted: 10/03/2022] [Indexed: 12/24/2022] Open
Abstract
AIMS Patients with familial hypercholesterolemia (FH) are known to have higher exposure to coronary risk than those without FH with similar low-density lipoprotein cholesterol (LDL-C) level. Lipid-lowering medications (LLMs) are the mainstay treatments to lower the risk of premature coronary artery disease in patients with hypercholesterolemia. However, the LLM prescription pattern and its effectiveness among Malaysian patients with FH are not yet reported. The aim of this study was to report the LLM prescribing pattern and its effectiveness in lowering LDL-C level among Malaysian patients with FH treated in specialist hospitals. METHODS Subjects were recruited from lipid and cardiac specialist hospitals. FH was clinically diagnosed using the Dutch Lipid Clinic Network Criteria. Patients' medical history was recorded using a standardized questionnaire. LLM prescription history and baseline LDL-C were acquired from the hospitals' database. Blood samples were acquired for the latest lipid profile assay. RESULTS A total of 206 patients with FH were recruited. Almost all of them were on LLMs (97.6%). Only 2.9% and 7.8% of the patients achieved the target LDL-C of <1.4 and <1.8 mmol/L, respectively. The majority of patients who achieved the target LDL-C were prescribed with statin-ezetimibe combination medications and high-intensity or moderate-intensity statins. All patients who were prescribed with ezetimibe monotherapy did not achieve the target LDL-C. CONCLUSION The majority of Malaysian patients with FH received LLMs, but only a small fraction achieved the therapeutic target LDL-C level. Further investigation has to be conducted to identify the cause of the suboptimal treatment target attainment, be it the factors of patients or the prescription practice.
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Affiliation(s)
- Yung-An Chua
- Institute of Pathology, Laboratory and Forensic Medicine (I-PPerForM) and Faculty of Medicine, Universiti Teknologi MARA (UiTM), Selangor, Malaysia
| | - Sukma Azureen Nazli
- Institute of Pathology, Laboratory and Forensic Medicine (I-PPerForM) and Faculty of Medicine, Universiti Teknologi MARA (UiTM), Selangor, Malaysia
| | - Azhari Rosman
- National Heart Institute (IJN), Kuala Lumpur, Malaysia
| | - Sazzli Shahlan Kasim
- Institute of Pathology, Laboratory and Forensic Medicine (I-PPerForM) and Faculty of Medicine, Universiti Teknologi MARA (UiTM), Selangor, Malaysia
- Department of Cardiology, Faculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia
| | - Khairul Shafiq Ibrahim
- Department of Cardiology, Faculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia
| | - Ahmad Bakhtiar Md Radzi
- Department of Cardiology, Faculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia
| | - Noor Alicezah Mohd Kasim
- Institute of Pathology, Laboratory and Forensic Medicine (I-PPerForM) and Faculty of Medicine, Universiti Teknologi MARA (UiTM), Selangor, Malaysia
- Department of Pathology, Faculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia
| | - Hapizah Nawawi
- Institute of Pathology, Laboratory and Forensic Medicine (I-PPerForM) and Faculty of Medicine, Universiti Teknologi MARA (UiTM), Selangor, Malaysia
- Department of Pathology, Faculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia
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5
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Genetic Heterogeneity of Familial Hypercholesterolemia: Repercussions for Molecular Diagnosis. Int J Mol Sci 2023; 24:ijms24043224. [PMID: 36834635 PMCID: PMC9961636 DOI: 10.3390/ijms24043224] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 02/02/2023] [Accepted: 02/03/2023] [Indexed: 02/10/2023] Open
Abstract
Genetics of Familial Hypercholesterolemia (FH) is ascribable to pathogenic variants in genes encoding proteins leading to an impaired LDL uptake by the LDL receptor (LDLR). Two forms of the disease are possible, heterozygous (HeFH) and homozygous (HoFH), caused by one or two pathogenic variants, respectively, in the three main genes that are responsible for the autosomal dominant disease: LDLR, APOB and PCSK9 genes. The HeFH is the most common genetic disease in humans, being the prevalence about 1:300. Variants in the LDLRAP1 gene causes FH with a recessive inheritance and a specific APOE variant was described as causative of FH, contributing to increase FH genetic heterogeneity. In addition, variants in genes causing other dyslipidemias showing phenotypes overlapping with FH may mimic FH in patients without causative variants (FH-phenocopies; ABCG5, ABCG8, CYP27A1 and LIPA genes) or act as phenotype modifiers in patients with a pathogenic variant in a causative gene. The presence of several common variants was also considered a genetic basis of FH and several polygenic risk scores (PRS) have been described. The presence of a variant in modifier genes or high PRS in HeFH further exacerbates the phenotype, partially justifying its variability among patients. This review aims to report the updates on the genetic and molecular bases of FH with their implication for molecular diagnosis.
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Tromp TR, Ibrahim S, Nurmohamed NS, Peter J, Zuurbier L, Defesche JC, Reeskamp LF, Hovingh GK, Stroes ESG. Use of Lipoprotein(a) to improve diagnosis and management in clinical familial hypercholesterolemia. Atherosclerosis 2023; 365:27-33. [PMID: 36473758 DOI: 10.1016/j.atherosclerosis.2022.11.020] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 11/08/2022] [Accepted: 11/24/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND AIMS Lipoprotein(a) (Lp(a)) is an LDL-like particle whose plasma levels are largely genetically determined. The impact of measuring Lp(a) in patients with clinical familial hypercholesterolemia (FH) referred for genetic testing is largely unknown. We set out to evaluate the contribution of (genetically estimated) Lp(a) in a large nation-wide referral population of clinical FH. METHODS In 1504 patients referred for FH genotyping, we used an LPA genetic instrument (rs10455872 and rs3798220) as a proxy for plasma Lp(a) levels. The genetic Lp(a) proxy was used to correct LDL-cholesterol and reclassify patients with clinical FH based on Dutch Lipid Criteria Network (DLCN) scoring. Finally, we used estimated Lp(a) levels to reclassify ASCVD risk using the SCORE and SMART risk scores. RESULTS LPA SNPs were more prevalent among mutation-negative compared with mutation-positive patients (296/1280 (23.1%) vs 35/224 (15.6%), p = 0.016). Among patients with genetically defined high Lp(a) levels, 9% were reclassified to the DLCN category 'unlikely FH' using Lp(a)-corrected LDL-cholesterol (LDL-Ccor) and all but one of these patients indeed carried no FH variant. Furthermore, elevated Lp(a) reclassified predicted ASCVD risk into a higher category in up to 18% of patients. CONCLUSIONS In patients referred for FH molecular testing, we show that taking into account (genetically estimated) Lp(a) levels not only results in reclassification of probability of genetic FH, but also has an impact on individual cardiovascular risk evaluation. However, to avoid missing the diagnosis of an FH variant, clear thresholds for the use of Lp(a)-cholesterol adjusted LDL-cholesterol levels in patients referred for genetic testing of FH must be established.
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Affiliation(s)
- Tycho R Tromp
- Department of Vascular Medicine, Amsterdam UMC, Location AMC, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands
| | - Shirin Ibrahim
- Department of Vascular Medicine, Amsterdam UMC, Location AMC, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands
| | - Nick S Nurmohamed
- Department of Vascular Medicine, Amsterdam UMC, Location AMC, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands; Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Boelelaan 1117, 1081 HV, Amsterdam, the Netherlands
| | - Jorge Peter
- Department of Experimental Vascular Medicine, Amsterdam UMC, Location AMC, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands
| | - Linda Zuurbier
- Department of Human Genetics, Amsterdam UMC, Location AMC, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands
| | - Joep C Defesche
- Department of Human Genetics, Amsterdam UMC, Location AMC, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands
| | - Laurens F Reeskamp
- Department of Vascular Medicine, Amsterdam UMC, Location AMC, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands; Department of Internal Medicine, OLVG Oost, Amsterdam, the Netherlands
| | - G Kees Hovingh
- Department of Vascular Medicine, Amsterdam UMC, Location AMC, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands; Novo Nordisk A/S, Copenhagen, Denmark
| | - Erik S G Stroes
- Department of Vascular Medicine, Amsterdam UMC, Location AMC, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands.
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Genetic Spectrum of Familial Hypercholesterolaemia in the Malaysian Community: Identification of Pathogenic Gene Variants Using Targeted Next-Generation Sequencing. Int J Mol Sci 2022; 23:ijms232314971. [PMID: 36499307 PMCID: PMC9736953 DOI: 10.3390/ijms232314971] [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: 09/28/2022] [Revised: 11/11/2022] [Accepted: 11/17/2022] [Indexed: 12/02/2022] Open
Abstract
Familial hypercholesterolaemia (FH) is caused by mutations in lipid metabolism genes, predominantly in low-density lipoprotein receptor (LDLR), apolipoprotein B (APOB), proprotein convertase subtilisin/kexin-type 9 (PCSK9) and LDL receptor adaptor protein 1 (LDLRAP1). The prevalence of genetically confirmed FH and the detection rate of pathogenic variants (PV) amongst clinically diagnosed patients is not well established. Targeted next-generation sequencing of LDLR, APOB, PCSK9 and LDLRAP1 was performed on 372 clinically diagnosed Malaysian FH subjects. Out of 361 variants identified, 40 of them were PV (18 = LDLR, 15 = APOB, 5 = PCSK9 and 2 = LDLRAP1). The majority of the PV were LDLR and APOB, where the frequency of both PV were almost similar. About 39% of clinically diagnosed FH have PV in PCSK9 alone and two novel variants of PCSK9 were identified in this study, which have not been described in Malaysia and globally. The prevalence of genetically confirmed potential FH in the community was 1:427, with a detection rate of PV at 0.2% (12/5130). About one-fourth of clinically diagnosed FH in the Malaysian community can be genetically confirmed. The detection rate of genetic confirmation is similar between potential and possible FH groups, suggesting a need for genetic confirmation in index cases from both groups. Clinical and genetic confirmation of FH index cases in the community may enhance the early detection of affected family members through family cascade screening.
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de Boer LM, Hutten BA, Zwinderman AH, Wiegman A. Lipoprotein(a) levels in children with suspected familial hypercholesterolaemia: a cross-sectional study. Eur Heart J 2022; 44:1421-1428. [PMID: 36382390 PMCID: PMC10119030 DOI: 10.1093/eurheartj/ehac660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 09/14/2022] [Accepted: 11/01/2022] [Indexed: 11/17/2022] Open
Abstract
AIMS Familial hypercholesterolaemia (FH) predisposes children to the early initiation of atherosclerosis and is preferably diagnosed by DNA analysis. Yet, in many children with a clinical presentation of FH, no mutation is found. Adult data show that high levels of lipoprotein(a) [Lp(a)] may underlie a clinical presentation of FH, as the cholesterol content of Lp(a) is included in conventional LDL cholesterol measurements. As this is limited to adult data, Lp(a) levels in children with and without (clinical) FH were evaluated. METHODS AND RESULTS Children were eligible if they visited the paediatric lipid clinic (1989-2020) and if Lp(a) measurement and DNA analysis were performed. In total, 2721 children (mean age: 10.3 years) were included and divided into four groups: 1931 children with definite FH (mutation detected), 290 unaffected siblings/normolipidaemic controls (mutation excluded), 108 children with probable FH (clinical presentation, mutation not detected), and 392 children with probable non-FH (no clinical presentation, mutation not excluded). In children with probable FH, 32% were found to have high Lp(a) [geometric mean (95% confidence interval) of 15.9 (12.3-20.6) mg/dL] compared with 10 and 10% [geometric means (95% confidence interval) of 11.5 (10.9-12.1) mg/dL and 9.8 (8.4-11.3) mg/dL] in children with definite FH (P = 0.017) and unaffected siblings (P = 0.002), respectively. CONCLUSION Lp(a) was significantly higher and more frequently elevated in children with probable FH compared with children with definite FH and unaffected siblings, suggesting that high Lp(a) may underlie the clinical presentation of FH when no FH-causing mutation is found. Performing both DNA analysis and measuring Lp(a) in all children suspected of FH is recommended to assess possible LDL cholesterol overestimation related to increased Lp(a).
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Affiliation(s)
- Lotte M de Boer
- Epidemiology and Data Science, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, TheNetherlands.,Pediatrics, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, TheNetherlands
| | - Barbara A Hutten
- Epidemiology and Data Science, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, TheNetherlands.,Amsterdam Cardiovascular Sciences, Diabetes & Metabolism, Amsterdam, The Netherlands
| | - Aeilko H Zwinderman
- Epidemiology and Data Science, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, TheNetherlands.,Amsterdam Public Health, Methodology, Amsterdam, The Netherlands
| | - Albert Wiegman
- Pediatrics, Amsterdam UMC location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, TheNetherlands.,Amsterdam Cardiovascular Sciences, Diabetes & Metabolism, Amsterdam, The Netherlands
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9
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Nazli SA, Chua YA, Mohd Kasim NA, Ismail Z, Md Radzi AB, Ibrahim KS, Kasim SS, Rosman A, Nawawi H. Familial hypercholesterolaemia and coronary risk factors among patients with angiogram-proven premature coronary artery disease in an Asian cohort. PLoS One 2022; 17:e0273896. [PMID: 36054188 PMCID: PMC9439256 DOI: 10.1371/journal.pone.0273896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 08/17/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Familial hypercholesterolaemia (FH) patients have elevated levels of low-density lipoprotein cholesterol, rendering them at high risk of premature coronary artery disease (PCAD). However, the FH prevalence among angiogram-proven PCAD (AP-PCAD) patients and their status of coronary risk factors (CRFs) have not been reported in the Asian population. OBJECTIVES This study aimed to (1) determine the prevalence of clinically diagnosed FH among AP-PCAD patients, (2) compare CRFs between AP-PCAD patients with control groups, and (3) identify the independent predictors of PCAD. METHODS AP-PCAD patients and FH patients without PCAD were recruited from Cardiology and Specialist Lipid Clinics. Subjects were divided into AP-PCAD with FH (G1), AP-PCAD without FH (G2), FH without PCAD (G3) and normal controls (G4). Medical records were collected from the clinic database and standardised questionnaires. FH was clinically diagnosed using Dutch Lipid Clinic Network Criteria. RESULTS A total of 572 subjects were recruited (males:86.4%; mean±SD age: 55.6±8.5years). The prevalence of Definite, Potential and All FH among AP-PCAD patients were 6%(19/319), 16% (51/319) and 45.5% (145/319) respectively. G1 had higher central obesity, family history of PCAD and family history of hypercholesterolaemia compared to other groups. Among all subjects, diabetes [OR(95% CI): 4.7(2.9,7.7)], hypertension [OR(95% CI): 14.1(7.8,25.6)], FH [OR(95% CI): 2.9(1.5,5.5)] and Potential (Definite and Probable) FH [OR(95% CI): 4.5(2.1,9.6)] were independent predictors for PCAD. Among FH patients, family history of PCAD [OR(95% CI): 3.0(1.4,6.3)] and Definite FH [OR(95% CI): 7.1(1.9,27.4)] were independent predictors for PCAD. CONCLUSION Potential FH is common among AP-PCAD patients and contributes greatly to the AP-PCAD. FH-PCAD subjects have greater proportions of various risk factors compared to other groups. Presence of FH, diabetes, hypertension, obesity and family history of PCAD are independent predictors of PCAD. FH with PCAD is in very-high-risk category, hence, early management of modifiable CRFs in these patients are warranted.
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Affiliation(s)
- Sukma Azureen Nazli
- Laboratory and Forensic Medicine (I-PPerForM), Institute for Pathology, Universiti Teknologi MARA, Selangor, Malaysia
- Faculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia
| | - Yung-An Chua
- Laboratory and Forensic Medicine (I-PPerForM), Institute for Pathology, Universiti Teknologi MARA, Selangor, Malaysia
| | | | - Zaliha Ismail
- Laboratory and Forensic Medicine (I-PPerForM), Institute for Pathology, Universiti Teknologi MARA, Selangor, Malaysia
- Faculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia
| | | | | | | | - Azhari Rosman
- Institut Jantung Negara (IJN), Kuala Lumpur, Malaysia
| | - Hapizah Nawawi
- Laboratory and Forensic Medicine (I-PPerForM), Institute for Pathology, Universiti Teknologi MARA, Selangor, Malaysia
- Faculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia
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10
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Wilson DP, Jacobson TA, Jones PH, Koschinsky ML, McNeal CJ, Nordestgaard BG, Orringer CE. Use of Lipoprotein(a) in clinical practice: A biomarker whose time has come. A scientific statement from the National Lipid Association. J Clin Lipidol 2022; 16:e77-e95. [PMID: 36068139 DOI: 10.1016/j.jacl.2022.08.007] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Lipoprotein(a) [Lp(a)] is a well-recognized, independent risk factor for atherosclerotic cardiovascular disease, with elevated levels estimated to be prevalent in 20% of the population. Observational and genetic evidence strongly support a causal relationship between high plasma concentrations of Lp(a) and increased risk of atherosclerotic cardiovascular disease-related events, such as myocardial infarction and stroke, and valvular aortic stenosis. In this scientific statement, we review an array of evidence-based considerations for testing of Lp(a) in clinical practice and the utilization of Lp(a) levels to inform treatment strategies in primary and secondary prevention.
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Affiliation(s)
- Don P Wilson
- Department of Pediatric Endocrinology and Diabetes, Cook Children''s Medical Center, Fort Worth, TX, USA.
| | - Terry A Jacobson
- Department of Medicine, Lipid Clinic and Cardiovascular Risk Reduction Program, Emory University, Atlanta, GA, USA
| | - Peter H Jones
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Marlys L Koschinsky
- Robarts Research Institute, Schulich School of Medicine and Dentistry, The University of Western Ontario, London, Ontario, Canada
| | - Catherine J McNeal
- Division of Cardiology, Department of Internal Medicine, Baylor Scott & White Health, Temple, TX, USA
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
| | - Carl E Orringer
- Division of Cardiology, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
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11
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Chakraborty A, Chan DC, Ellis KL, Pang J, Barnett W, Woodward AM, Vorster M, Norman R, Moses EK, Watts GF. Cascade testing for elevated lipoprotein(a) in relatives of probands with high lipoprotein(a). Am J Prev Cardiol 2022; 10:100343. [PMID: 35517871 PMCID: PMC9062205 DOI: 10.1016/j.ajpc.2022.100343] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 04/05/2022] [Accepted: 04/14/2022] [Indexed: 01/21/2023] Open
Abstract
Elevated lipoprotein(a) [Lp(a)] is a common inherited condition associated with atherosclerotic cardiovascular disease. Elevated Lp(a) is not routinely tested in clinical practice and most cases remain undiagnosed in the community. We identified 124 relatives with elevated Lp(a) (≥50 mg/dL) from 83 affected adult probands who also had dyslipidemia. We also demonstrate that follow-up management is effective in lowering low-density lipoprotein-cholesterol levels by 34% as a consequence of initiation of lipid-lowering therapy. Cascade testing families for elevated Lp(a) from affected probands with dyslipidemia is an effective and acceptable approach for identifying new cases of elevated Lp(a) who will require management of modifiable risk factors, particularly hypercholesterolemia.
Objective Elevated lipoprotein(a) [Lp(a)] is a common inherited condition associated with cardiovascular disease. This study investigated whether cascade testing for Lp(a) was effective in detecting new cases of elevated Lp(a) in families. Methods Relatives from adult probands with Lp(a) concentration ≥100 mg/dL were tested for elevated Lp(a) (≥50 mg/dL) via a cascade testing program in a tertiary hospital setting. The prevalence and yield of detecting new cases of elevated Lp(a) among the relatives were assessed. Results Of the 83 probands, 43.4% had familial combined hyperlipidemia (FCHL) and 34.9% common hypercholesterolemia (CH). Among 182 relatives tested (151 adults and 31 children), elevated Lp(a) was found in 68.1%, with 32.9% having Lp(a) between 50 and 99 mg/dL and 35.2% having Lp(a) ≥100 mg/dL. One new case of elevated Lp(a) ≥50 mg/dL was identified for every 1.5 relatives tested and 1 new case of elevated Lp(a) ≥100 mg/dL for every 2.8 relatives tested. The proportion of relatives detected with elevated Lp(a) was significantly higher when tested from probands with Lp(a) >150 mg/dL compared with those with Lp(a) between 100 and 150 mg/dL (81.1% vs. 55.5%; P = 0.001). The concordance rates (kappa coefficient) for the detection of elevated Lp(a) with FCHL and CH were 34.8% (0.026) and 53.2% (0.099), respectively. Conclusion Cascade testing for elevated Lp(a) from affected probands with phenotypic dyslipidemia is highly effective in identifying new cases of high Lp(a) in families. The yield of detecting elevated Lp(a) is greater when probands have higher levels of Lp(a) and exceeds the detection of relatives with FCHL and CH.
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Affiliation(s)
- Anindita Chakraborty
- Medical School, University of Western Australia, Perth, Western Australia, Australia
| | - Dick C. Chan
- Medical School, University of Western Australia, Perth, Western Australia, Australia
| | - Katrina L. Ellis
- Medical School, University of Western Australia, Perth, Western Australia, Australia
| | - Jing Pang
- Medical School, University of Western Australia, Perth, Western Australia, Australia
| | - Wendy Barnett
- Lipid Disorders Clinic, Department of Cardiology and Internal Medicine, Royal Perth Hospital, Perth, Western Australia, Australia
| | - Ann Marie Woodward
- Lipid Disorders Clinic, Department of Cardiology and Internal Medicine, Royal Perth Hospital, Perth, Western Australia, Australia
| | - Mary Vorster
- Lipid Disorders Clinic, Department of Cardiology and Internal Medicine, Royal Perth Hospital, Perth, Western Australia, Australia
| | - Richard Norman
- School of Population Health, Curtin University, Perth, Western Australia, Australia
| | - Eric K. Moses
- Menzies Institute for Medical Research, University of Tasmania, Tasmania, Australia
| | - Gerald F. Watts
- Medical School, University of Western Australia, Perth, Western Australia, Australia
- Lipid Disorders Clinic, Department of Cardiology and Internal Medicine, Royal Perth Hospital, Perth, Western Australia, Australia
- Corresponding author: Medical School, Faculty of Health and Medical Sciences, University of Western Australia, Royal Perth Hospital, GPO Box X2213, Perth, WA 6847, Australia.
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12
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Coassin S, Chemello K, Khantalin I, Forer L, Döttelmayer P, Schönherr S, Grüneis R, Chong-Hong-Fong C, Nativel B, Ramin-Mangata S, Gallo A, Roche M, Muelegger B, Gieger C, Peters A, Zschocke J, Marimoutou C, Meilhac O, Lamina C, Kronenberg F, Blanchard V, Lambert G. Genome-Wide Characterization of a Highly Penetrant Form of Hyperlipoprotein(a)emia Associated With Genetically Elevated Cardiovascular Risk. Circ Genom Precis Med 2022; 15:e003489. [PMID: 35133173 PMCID: PMC9018215 DOI: 10.1161/circgen.121.003489] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Lp(a) (lipoprotein [a]) is a highly atherogenic lipoprotein strongly associated with coronary artery disease (CAD). Lp(a) concentrations are chiefly determined genetically. Investigation of large pedigrees with extreme Lp(a) using modern whole-genome approaches may unravel the genetic determinants underpinning this pathological phenotype.
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Affiliation(s)
- Stefan Coassin
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology (S.C., L.F., P.D., S.S., R.G., C.L., F.K.), Medical University of Innsbruck, Austria
| | - Kevin Chemello
- Université de La Réunion, INSERM UMR 1188 DéTROI, Sainte-Clotilde, France (K.C., I.K., C.C.-H.-F., B.N., S.R.-M., A.G., M.R., O.M., V.B., G.L.)
| | - Ilya Khantalin
- Université de La Réunion, INSERM UMR 1188 DéTROI, Sainte-Clotilde, France (K.C., I.K., C.C.-H.-F., B.N., S.R.-M., A.G., M.R., O.M., V.B., G.L.).,CHU de La Réunion, Service de Chirurgie Cardiaque Vasculaire et Thoracique, Saint-Denis, France (I.K.)
| | - Lukas Forer
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology (S.C., L.F., P.D., S.S., R.G., C.L., F.K.), Medical University of Innsbruck, Austria
| | - Patricia Döttelmayer
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology (S.C., L.F., P.D., S.S., R.G., C.L., F.K.), Medical University of Innsbruck, Austria
| | - Sebastian Schönherr
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology (S.C., L.F., P.D., S.S., R.G., C.L., F.K.), Medical University of Innsbruck, Austria
| | - Rebecca Grüneis
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology (S.C., L.F., P.D., S.S., R.G., C.L., F.K.), Medical University of Innsbruck, Austria
| | - Clément Chong-Hong-Fong
- Université de La Réunion, INSERM UMR 1188 DéTROI, Sainte-Clotilde, France (K.C., I.K., C.C.-H.-F., B.N., S.R.-M., A.G., M.R., O.M., V.B., G.L.)
| | - Brice Nativel
- Université de La Réunion, INSERM UMR 1188 DéTROI, Sainte-Clotilde, France (K.C., I.K., C.C.-H.-F., B.N., S.R.-M., A.G., M.R., O.M., V.B., G.L.)
| | - Stéphane Ramin-Mangata
- Université de La Réunion, INSERM UMR 1188 DéTROI, Sainte-Clotilde, France (K.C., I.K., C.C.-H.-F., B.N., S.R.-M., A.G., M.R., O.M., V.B., G.L.)
| | - Antonio Gallo
- Université de La Réunion, INSERM UMR 1188 DéTROI, Sainte-Clotilde, France (K.C., I.K., C.C.-H.-F., B.N., S.R.-M., A.G., M.R., O.M., V.B., G.L.)
| | - Mathias Roche
- Université de La Réunion, INSERM UMR 1188 DéTROI, Sainte-Clotilde, France (K.C., I.K., C.C.-H.-F., B.N., S.R.-M., A.G., M.R., O.M., V.B., G.L.)
| | - Beatrix Muelegger
- Institute of Human Genetics (B.M., J.S.), Medical University of Innsbruck, Austria
| | - Christian Gieger
- Research Unit of Molecular Epidemiology (C.G.), Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology (C.G., A.P.), Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany (C.G., A.P.)
| | - Annette Peters
- Institute of Epidemiology (C.G., A.P.), Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD), München-Neuherberg, Germany (C.G., A.P.)
| | - Johannes Zschocke
- Institute of Human Genetics (B.M., J.S.), Medical University of Innsbruck, Austria
| | | | - Olivier Meilhac
- Université de La Réunion, INSERM UMR 1188 DéTROI, Sainte-Clotilde, France (K.C., I.K., C.C.-H.-F., B.N., S.R.-M., A.G., M.R., O.M., V.B., G.L.).,CHU de La Réunion, CIC EC1410, Saint-Pierre, France (C.M., O.M.)
| | - Claudia Lamina
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology (S.C., L.F., P.D., S.S., R.G., C.L., F.K.), Medical University of Innsbruck, Austria
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology (S.C., L.F., P.D., S.S., R.G., C.L., F.K.), Medical University of Innsbruck, Austria
| | - Valentin Blanchard
- Université de La Réunion, INSERM UMR 1188 DéTROI, Sainte-Clotilde, France (K.C., I.K., C.C.-H.-F., B.N., S.R.-M., A.G., M.R., O.M., V.B., G.L.).,Department of Medicine, Centre for Heart Lung Innovation, Providence Healthcare Research Institute, St Paul's Hospital, University of British Columbia, Vancouver, Canada (V.B.)
| | - Gilles Lambert
- Université de La Réunion, INSERM UMR 1188 DéTROI, Sainte-Clotilde, France (K.C., I.K., C.C.-H.-F., B.N., S.R.-M., A.G., M.R., O.M., V.B., G.L.)
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13
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Eid WE, Sapp EH, Wendt A, Lumpp A, Miller C. Improving Familial Hypercholesterolemia Diagnosis Using an EMR-based Hybrid Diagnostic Model. J Clin Endocrinol Metab 2022; 107:1078-1090. [PMID: 34871430 PMCID: PMC8947798 DOI: 10.1210/clinem/dgab873] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT Familial hypercholesterolemia (FH) confers a greatly increased risk for premature cardiovascular disease, but remains very underdiagnosed and undertreated in primary care populations. OBJECTIVE We assessed whether using a hybrid model consisting of 2 existing FH diagnostic criteria coupled with electronic medical record (EMR) data would accurately identify patients with FH in a Midwest US metropolitan healthcare system. METHODS We conducted a retrospective, records-based, cross-sectional study using datasets from unique EMRs of living patients. Using Structured Query Language to identify components of 2 currently approved FH diagnostic criteria, we created a hybrid model to identify individuals with FH. RESULTS Of 264 264 records analyzed, between 794 and 1571 patients were identified as having FH based on the hybrid diagnostic model, with a prevalence of 1:300 to 1:160. These patients had a higher prevalence of premature coronary artery disease (CAD) (38-58%) than the general population (1.8%) and higher than those having a high CAD risk but no FH (10%). Although most patients were receiving lipid-lowering therapies (LLTs), only 50% were receiving guideline-recommended high-intensity LLT. CONCLUSION Using the hybrid model, we identified FH with a higher clinical and genetic detection rate than using standard diagnostic criteria individually. Statin and other LLT use were suboptimal and below guideline recommendations. Because FH underdiagnosis and undertreatment are due partially to the challenges of implementing existing diagnostic criteria in a primary care setting, this hybrid model potentially can improve FH diagnosis and subsequent early access to appropriate treatment.
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Affiliation(s)
- Wael E Eid
- St. Elizabeth Physicians Regional Diabetes Center, Covington, KY 41011, USA
- College of Medicine, University of Kentucky, Lexington, KY 41011, USA
- Sanford School of Medicine, University of South Dakota, Sioux Falls, SD 41011, USA
- Faculty of Medicine, Department of Internal Medicine, Endocrine Unit, Alexandria University, Alexandria, Egypt
| | | | - Abby Wendt
- Department of Mathematics and Statistics, Northern Kentucky University, Highland Heights, KY 41099, USA
| | - Amity Lumpp
- St. Elizabeth Healthcare, Edgewood, KY 41017, USA
| | - Carl Miller
- Department of Mathematics and Statistics, Northern Kentucky University, Highland Heights, KY 41099, USA
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14
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Trinder M, Vikulova D, Pimstone S, Mancini GBJ, Brunham LR. Polygenic architecture and cardiovascular risk of familial combined hyperlipidemia. Atherosclerosis 2021; 340:35-43. [PMID: 34906840 DOI: 10.1016/j.atherosclerosis.2021.11.032] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 11/06/2021] [Accepted: 11/30/2021] [Indexed: 12/29/2022]
Abstract
BACKGROUND AND AIMS Familial combined hyperlipidemia (FCHL) is one of the most common inherited lipid phenotypes, characterized by elevated plasma concentrations of apolipoprotein B-100 and triglycerides. The genetic inheritance of FCHL remains poorly understood. The goals of this study were to investigate the polygenetic architecture and cardiovascular risk associated with FCHL. METHODS AND RESULTS We identified individuals with an FCHL phenotype among 349,222 unrelated participants of European ancestry in the UK Biobank using modified versions of 5 different diagnostic criteria. The prevalence of the FCHL phenotype was 11.44% (n = 39,961), 5.01% (n = 17,485), 1.48% (n = 5,153), 1.10% (n = 3,838), and 0.48% (n = 1,688) according to modified versions of the Consensus Conference, Dutch, Mexico, Brunzell, and Goldstein criteria, respectively. We performed discovery, case-control genome-wide association studies for these different FCHL criteria and identified 175 independent loci associated with FCHL at genome-wide significance. We investigated the association of genetic and clinical risk with FCHL and found that polygenic susceptibility to hypercholesterolemia or hypertriglyceridemia and features of metabolic syndrome were associated with greater prevalence of FCHL. Participants with an FCHL phenotype had a similar risk of incident coronary artery disease compared to participants with monogenic familial hypercholesterolemia (adjusted hazard ratio vs controls [95% confidence interval]: 2.72 [2.31-3.21] and 1.90 [1.30-2.78]). CONCLUSIONS These results suggest that, rather than being a single genetic entity, the FCHL phenotype represents a polygenic susceptibility to dyslipidemia in combination with metabolic abnormalities. The cardiovascular risk associated with an FCHL phenotype is similar to that of monogenic familial hypercholesterolemia, despite being ∼5x more common.
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Affiliation(s)
- Mark Trinder
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC, Canada; Experimental Medicine Program, University of British Columbia, Vancouver, British Columbia, Canada
| | - Diana Vikulova
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC, Canada; Experimental Medicine Program, University of British Columbia, Vancouver, British Columbia, Canada
| | - Simon Pimstone
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC, Canada; Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - G B John Mancini
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC, Canada
| | - Liam R Brunham
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC, Canada; Experimental Medicine Program, University of British Columbia, Vancouver, British Columbia, Canada; Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.
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15
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Chua YA, Razman AZ, Ramli AS, Mohd Kasim NA, Nawawi H. Familial Hypercholesterolaemia in the Malaysian Community: Prevalence, Under-Detection and Under-Treatment. J Atheroscler Thromb 2021; 28:1095-1107. [PMID: 33455995 PMCID: PMC8560842 DOI: 10.5551/jat.57026] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 10/29/2020] [Indexed: 11/15/2022] Open
Abstract
AIM Familial hypercholesterolaemia (FH) is the most common autosomal dominant lipid disorder, leading to severe hypercholesterolaemia. Early detection and treatment with lipid-lowering medications may reduce the risk of premature coronary artery disease in FH patients. However, there is scarcity of data on FH prevalence, detection rate, treatment and control with lipid-lowering therapy in the Malaysian community. METHODS Community participants (n=5130) were recruited from all states in Malaysia. Blood samples were collected for lipid profiles and glucose analyses. Personal and family medical histories were collected by means of assisted questionnaire. Physical examination for tendon xanthomata and premature corneal arcus were conducted on-site. FH were clinically screened using Dutch Lipid Clinic Network Criteria. RESULTS Out of 5130 recruited community participants, 55 patients were clinically categorised as potential (Definite and Probable) FH, making the prevalence FH among the community as 1:100. Based on current total population of Malaysia (32 million), the estimated number of FH patients in Malaysia is 320,000, while the detection rates are estimated as 0.5%. Lipid-lowering medications were prescribed to 54.5% and 30.5% of potential and possible FH patients, respectively, but none of them achieved the therapeutic LDL-c target. CONCLUSION Clinically diagnosed FH prevalence in Malaysian population is much higher than most of the populations in the world. At community level, FH patients are clinically under-detected, with majority of them not achieving target LDL-c level for high-risk patients. Therefore, public health measures are warranted for early detection and treatment, to enhance opportunities for premature CAD prevention.
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Affiliation(s)
- Yung-An Chua
- Institute of Pathology, Laboratory and Forensic Medicine (I-PPerForM), Universiti Teknologi MARA, Sungai Buloh, Selangor, Malaysia
| | - Aimi Zafira Razman
- Institute of Pathology, Laboratory and Forensic Medicine (I-PPerForM), Universiti Teknologi MARA, Sungai Buloh, Selangor, Malaysia
| | - Anis Safura Ramli
- Institute of Pathology, Laboratory and Forensic Medicine (I-PPerForM), Universiti Teknologi MARA, Sungai Buloh, Selangor, Malaysia
- Departments of Primary Care Medicine, Universiti Teknologi MARA, Selayang, Selangor, Malaysia
| | - Noor Alicezah Mohd Kasim
- Institute of Pathology, Laboratory and Forensic Medicine (I-PPerForM), Universiti Teknologi MARA, Sungai Buloh, Selangor, Malaysia
- Pathology, Faculty of Medicine, Universiti Teknologi MARA, Selayang, Selangor, Malaysia
| | - Hapizah Nawawi
- Institute of Pathology, Laboratory and Forensic Medicine (I-PPerForM), Universiti Teknologi MARA, Sungai Buloh, Selangor, Malaysia
- Pathology, Faculty of Medicine, Universiti Teknologi MARA, Selayang, Selangor, Malaysia
- Specialist Lipid and Coronary Risk Prevention Clinics, Clinical Training Centre, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh, Selangor, Malaysia
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16
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Genetics of Familial Combined Hyperlipidemia (FCHL) Disorder: An Update. Biochem Genet 2021; 60:453-481. [PMID: 34478023 DOI: 10.1007/s10528-021-10130-2] [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: 02/07/2019] [Accepted: 08/09/2021] [Indexed: 10/20/2022]
Abstract
Familial combined hyperlipidemia (FCHL) is one of the most common familial lipoprotein disorders of the lipoproteins, with a prevalence of 0.5% to 2% in different populations. About 10% of these patients suffer from cardiovascular disease and this number is increased by up to 11.3% in the young survivors of myocardial infarction and by 40% among all the survivors of myocardial infarction. Although initially thought to be that FCHL has an inheritance pattern of monogenic, the disease's etiology is still not fully understood and it appears that FCHL has a complex pattern related to genetic variants, environmental factors, and lifestyles. Two strategies have been used to identify its complex genetic background: candidate gene and the linkage approach, which have yielded an extensive list of genes associated with FCHL with a variable degree of scientific evidence. Until now, more than 30 different genetic variants have been identified related to FCHL. In this study, we aimed to review the individual genes that have been described in FCHL and how these genes and variants can be related to the current concept of metabolic pathways resulting in familial combined hyperlipidemia.
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17
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Vikulova DN, Trinder M, Mancini GBJ, Pimstone SN, Brunham LR. Familial Hypercholesterolemia, Familial Combined Hyperlipidemia, and Elevated Lipoprotein(a) in Patients With Premature Coronary Artery Disease. Can J Cardiol 2021; 37:1733-1742. [PMID: 34455025 DOI: 10.1016/j.cjca.2021.08.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 08/17/2021] [Accepted: 08/20/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Familial hypercholesterolemia (FH), familial combined hyperlipidemia (FCHL), and elevated lipoprotein (a) (Lp[a]) increase risk of premature coronary artery disease (CAD). The objective of this study was to assess the prevalence of FH, FCHL, elevated Lp(a) and their impact on management in patients with premature CAD. METHODS We prospectively recruited men ≤ 50 years and women ≤ 55 with obstructive CAD. FH was defined as Dutch Lipid Clinic Network scores ≥ 6. FCHL was defined as apolipoprotein B > 1.2 g/L, triglyceride and total cholesterol > 90th population percentile, and family history of premature cardiovascular disease. Lp(a) ≥ 50 mg/dL was considered to be elevated. RESULTS Among 263 participants, 9.1% met criteria for FH, 12.5% for FCHL, and 19.4% had elevated Lp(a). Among patients with FH, 37.5% had FH-causing DNA variants. Patients with FH, but not other dyslipidemias, were more likely than nondyslipidemic patients to have received lipid-lowering therapy before presenting with CAD (33.3% vs 12.3%, P = 0.04) and combined lipid-lowering therapy after the presentation (41.7% vs 7.7%, P < 0.001). One year after presentation, 58.3%, 54.5%, and 58.8% of patients with FH, FCHL, and elevated Lp(a) had low-density lipoprotein cholesterol (LDL-C) < 1.8 mmol/L, respectively, compared with 68.0 % in reference group. Patients with FCHL were more likely to have non-high-density lipoprotein (HDL) and apolipoprotein B above recommended lipid goals (70.0% and 87.9%, respectively). CONCLUSIONS FH, FCHL, and elevated Lp(a) are common in patients with premature CAD and have differing impact on treatment and achievement of lipid targets. Assessment for these conditions in patients with premature CAD provides valuable information for individualized management.
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Affiliation(s)
- Diana N Vikulova
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, British Columbia, Canada; Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Mark Trinder
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, British Columbia, Canada; Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - G B John Mancini
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; Division of Cardiology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Simon N Pimstone
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, British Columbia, Canada; Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Liam R Brunham
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, British Columbia, Canada; Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.
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18
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Relationship beetween Primary and Hospital Care in cardiovascular prevention and treatment of dyslipidemias. Derivation algorithm. Discharge criteria. CLINICA E INVESTIGACION EN ARTERIOSCLEROSIS 2021; 33 Suppl 1:65-70. [PMID: 33966816 DOI: 10.1016/j.arteri.2021.01.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 01/19/2021] [Accepted: 01/19/2021] [Indexed: 11/22/2022]
Abstract
Effective cardiovascular prevention requires taking advantage of all opportunities for patient contact with the Health Services in order to detect risk factors (CVRF) and global cardiovascular risk stratification (CVR). This particularly involves the Primary Care (PC) services, which must be coordinated with the Hospital Care (HC) in order to make all health resources available to the population. In addition, it is necessary to take into account the contribution of Occupational Health and Pharmacy services. There are hopeful signs as regards the possibility of overcoming the barriers that limit the necessary exchange of information between PC and HC professionals, as a basis for adequate coordination between both levels of care. This includes the implementation of referral and discharge algorithms (in this review this means those related to dyslipidaemias) accepted by professionals at both levels, and currently facilitated by the availability of new corporate tools (mobile, email, virtual consultations). The challenge lies in seizing the opportunity they offer to make their implementation effective.
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19
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Abstract
PURPOSE OF REVIEW With the exception of familial hypercholesterolaemia, the value of genetic testing for managing dyslipidaemias is not established. We review the genetics of major dyslipidaemias in context of clinical practice. RECENT FINDINGS Genetic testing for familial hypercholesterolaemia is valuable to enhance diagnostic precision, cascade testing, risk prediction and the use of new medications. Hypertriglyceridaemia may be caused by rare recessive monogenic, or by polygenic, gene variants; genetic testing may be useful in the former, for which antisense therapy targeting apoC-III has been approved. Familial high-density lipoprotein deficiency is caused by specific genetic mutations, but there is no effective therapy. Familial combined hyperlipidaemia (FCHL) is caused by polygenic variants for which there is no specific gene testing panel. Familial dysbetalipoproteinaemia is less frequent and commonly caused by APOE ε2ε2 homozygosity; as with FCHL, it is responsive to lifestyle modifications and statins or/and fibrates. Elevated lipoprotein(a) is a quantitative genetic trait whose value in risk prediction over-rides genetic testing; treatment relies on RNA therapeutics. SUMMARY Genetic testing is not at present commonly available for managing dyslipidaemias. Rapidly advancing technology may presage wider use, but its worth will require demonstration of cost-effectiveness and a healthcare workforce trained in genomic medicine.
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20
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Pang J, Sullivan DR, Hare DL, Colquhoun DM, Bates TR, Ryan JDM, Bishop W, Burnett JR, Bell DA, Simons LA, Mirzaee S, Kostner KM, Nestel PJ, Wilson AM, O'Brien RC, Janus ED, Clifton PM, Ardill JJ, Chan DC, van Bockxmeer F, Watts GF. Gaps in the Care of Familial Hypercholesterolaemia in Australia: First Report From the National Registry. Heart Lung Circ 2020; 30:372-379. [PMID: 32873489 DOI: 10.1016/j.hlc.2020.07.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 06/26/2020] [Accepted: 07/08/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Familial hypercholesterolaemia (FH) is under-diagnosed and under-treated worldwide, including Australia. National registries play a key role in identifying patients with FH, understanding gaps in care and advancing the science of FH to improve care for these patients. METHODS The FH Australasia Network has established a national web-based registry to raise awareness of the condition, facilitate service planning and inform best practice and care services in Australia. We conducted a cross-sectional analysis of 1,528 FH adults enrolled in the registry from 28 lipid clinics. RESULTS The mean age at enrolment was 53.4±15.1 years, 50.5% were male and 54.3% had undergone FH genetic testing, of which 61.8% had a pathogenic FH-causing gene variant. Only 14.0% of the cohort were family members identified through cascade testing. Coronary artery disease (CAD) was reported in 28.0% of patients (age of onset 49.0±10.5 years) and 64.9% had at least one modifiable cardiovascular risk factor. The mean untreated LDL-cholesterol was 7.4±2.5 mmol/L. 80.8% of patients were on lipid-lowering therapy with a mean treated LDL-cholesterol of 3.3±1.7 mmol/L. Among patients receiving lipid-lowering therapies, 25.6% achieved an LDL-cholesterol target of <2.5 mmol/L without CAD or <1.8 mmol/L with CAD. CONCLUSION Patients in the national FH registry are detected later in life, have a high burden of CAD and risk factors, and do not achieve guideline-recommended LDL-cholesterol targets. Genetic and cascade testing are under-utilised. These deficiencies in care need to be addressed as a public health priority.
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Affiliation(s)
- Jing Pang
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, WA, Australia
| | - David R Sullivan
- Department of Chemical Pathology, Royal Prince Alfred Hospital, Sydney, NSW, Australia; Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - David L Hare
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Vic, Australia; Department of Cardiology, Austin Health, Melbourne, Vic, Australia
| | - David M Colquhoun
- School of Medicine, University of Queensland, Brisbane, Qld, Australia; Wesley Medical Centre, Wesley Hospital and Greenslopes Private Hospital, Brisbane, Qld, Australia
| | - Timothy R Bates
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, WA, Australia; Department of Medicine, St John of God Hospital Midland, Perth, WA, Australia; Curtin Medical School, Faculty of Health Sciences, Curtin University, Perth, WA, Australia
| | | | - Warrick Bishop
- Department of Cardiology, Calvary Cardiac Centre, Calvary Health Care, Hobart, Tas, Australia
| | - John R Burnett
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, WA, Australia; Lipid Disorders Clinic, Cardiometabolic Services, Department of Cardiology, Royal Perth Hospital, Perth, WA, Australia; Department of Clinical Biochemistry, PathWest Laboratory Medicine WA, Royal Perth Hospital and Fiona Stanley Hospital Network, Perth, WA, Australia
| | - Damon A Bell
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, WA, Australia; Lipid Disorders Clinic, Cardiometabolic Services, Department of Cardiology, Royal Perth Hospital, Perth, WA, Australia; Department of Clinical Biochemistry, PathWest Laboratory Medicine WA, Royal Perth Hospital and Fiona Stanley Hospital Network, Perth, WA, Australia
| | - Leon A Simons
- University of New South Wales and St Vincent's Hospital, Sydney, NSW, Australia
| | - Sam Mirzaee
- Monash Cardiovascular Research Centre, MonashHeart, Melbourne, Vic, Australia
| | - Karam M Kostner
- Department of Cardiology, Mater Hospital, University of Queensland, Brisbane, Qld, Australia
| | - Paul J Nestel
- Baker Heart & Diabetes Institute, Melbourne, Vic, Australia; Department of Cardiology, The Alfred Hospital, Melbourne, Vic, Australia
| | - Andrew M Wilson
- Department of Cardiology, St. Vincent's Hospital, Melbourne, Vic, Australia; Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Vic, Australia
| | - Richard C O'Brien
- Austin Clinical School, University of Melbourne, Melbourne, Vic, Australia; Department of Endocrinology, Austin Health, Melbourne, Vic, Australia
| | - Edward D Janus
- Western Health Chronic Disease Alliance, Western Health, Melbourne, Vic, Australia; Department of Medicine, Western Health Melbourne Medical School, University of Melbourne, Melbourne, Vic, Australia
| | - Peter M Clifton
- Department of Endocrinology, Royal Adelaide Hospital, Adelaide, SA, Australia
| | | | - Dick C Chan
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, WA, Australia
| | - Frank van Bockxmeer
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, WA, Australia
| | - Gerald F Watts
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, WA, Australia; Department of Cardiology, Calvary Cardiac Centre, Calvary Health Care, Hobart, Tas, Australia.
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21
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Durrington PN. Family History and Lipoprotein(a) Contribute Independently to Risk Assessment and Clinical Management. J Am Coll Cardiol 2020; 76:794-796. [PMID: 32792076 DOI: 10.1016/j.jacc.2020.07.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 07/01/2020] [Accepted: 07/02/2020] [Indexed: 01/21/2023]
Affiliation(s)
- Paul N Durrington
- University of Manchester, School of Medical Sciences, Division of Cardiovascular Sciences, Manchester, United Kingdom.
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22
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Reeskamp LF, Tromp TR, Defesche JC, Grefhorst A, Stroes ESG, Hovingh GK, Zuurbier L. Next-generation sequencing to confirm clinical familial hypercholesterolemia. Eur J Prev Cardiol 2020; 28:875-883. [PMID: 34298557 DOI: 10.1093/eurjpc/zwaa451] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 06/28/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND Familial hypercholesterolemia is characterised by high low-density lipoprotein-cholesterol levels and is caused by a pathogenic variant in LDLR, APOB or PCSK9. We investigated which proportion of suspected familial hypercholesterolemia patients was genetically confirmed, and whether this has changed over the past 20 years in The Netherlands. METHODS Targeted next-generation sequencing of 27 genes involved in lipid metabolism was performed in patients with low-density lipoprotein-cholesterol levels greater than 5 mmol/L who were referred to our centre between May 2016 and July 2018. The proportion of patients carrying likely pathogenic or pathogenic variants in LDLR, APOB or PCSK9, or the minor familial hypercholesterolemia genes LDLRAP1, ABCG5, ABCG8, LIPA and APOE were investigated. This was compared with the yield of Sanger sequencing between 1999 and 2016. RESULTS A total of 227 out of the 1528 referred patients (14.9%) were heterozygous carriers of a pathogenic variant in LDLR (80.2%), APOB (14.5%) or PCSK9 (5.3%). More than 50% of patients with a Dutch Lipid Clinic Network score of 'probable' or 'definite' familial hypercholesterolemia were familial hypercholesterolemia mutation-positive; 4.8% of the familial hypercholesterolemia mutation-negative patients carried a variant in one of the minor familial hypercholesterolemia genes. The mutation detection rate has decreased over the past two decades, especially in younger patients in which it dropped from 45% in 1999 to 30% in 2018. CONCLUSIONS A rare pathogenic variant in LDLR, APOB or PCSK9 was identified in 14.9% of suspected familial hypercholesterolemia patients and this rate has decreased in the past two decades. Stringent use of clinical criteria algorithms is warranted to increase this yield. Variants in the minor familial hypercholesterolemia genes provide a possible explanation for the familial hypercholesterolemia phenotype in a minority of patients.
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Affiliation(s)
- Laurens F Reeskamp
- Department of Vascular Medicine, University of Amsterdam, The Netherlands
| | - Tycho R Tromp
- Department of Vascular Medicine, University of Amsterdam, The Netherlands
| | - Joep C Defesche
- Department of Clinical Genetics, University of Amsterdam, The Netherlands
| | - Aldo Grefhorst
- Department of Experimental Vascular Medicine, University of Amsterdam, The Netherlands
| | - Erik S G Stroes
- Department of Vascular Medicine, University of Amsterdam, The Netherlands
| | - G Kees Hovingh
- Department of Vascular Medicine, University of Amsterdam, The Netherlands
| | - Linda Zuurbier
- Department of Clinical Genetics, University of Amsterdam, The Netherlands
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23
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Reeskamp LF, Tromp TR, Defesche JC, Grefhorst A, Stroes ES, Hovingh GK, Zuurbier L. Next-generation sequencing to confirm clinical familial hypercholesterolemia. Eur J Prev Cardiol 2020:2047487320942996. [PMID: 32718233 DOI: 10.1177/2047487320942996] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
BACKGROUND Familial hypercholesterolemia is characterised by high low-density lipoprotein-cholesterol levels and is caused by a pathogenic variant in LDLR, APOB or PCSK9. We investigated which proportion of suspected familial hypercholesterolemia patients was genetically confirmed, and whether this has changed over the past 20 years in The Netherlands. METHODS Targeted next-generation sequencing of 27 genes involved in lipid metabolism was performed in patients with low-density lipoprotein-cholesterol levels greater than 5 mmol/L who were referred to our centre between May 2016 and July 2018. The proportion of patients carrying likely pathogenic or pathogenic variants in LDLR, APOB or PCSK9, or the minor familial hypercholesterolemia genes LDLRAP1, ABCG5, ABCG8, LIPA and APOE were investigated. This was compared with the yield of Sanger sequencing between 1999 and 2016. RESULTS A total of 227 out of the 1528 referred patients (14.9%) were heterozygous carriers of a pathogenic variant in LDLR (80.2%), APOB (14.5%) or PCSK9 (5.3%). More than 50% of patients with a Dutch Lipid Clinic Network score of 'probable' or 'definite' familial hypercholesterolemia were familial hypercholesterolemia mutation-positive; 4.8% of the familial hypercholesterolemia mutation-negative patients carried a variant in one of the minor familial hypercholesterolemia genes. The mutation detection rate has decreased over the past two decades, especially in younger patients in which it dropped from 45% in 1999 to 30% in 2018. CONCLUSIONS A rare pathogenic variant in LDLR, APOB or PCSK9 was identified in 14.9% of suspected familial hypercholesterolemia patients and this rate has decreased in the past two decades. Stringent use of clinical criteria algorithms is warranted to increase this yield. Variants in the minor familial hypercholesterolemia genes provide a possible explanation for the familial hypercholesterolemia phenotype in a minority of patients.
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Affiliation(s)
- Laurens F Reeskamp
- Department of Vascular Medicine, University of Amsterdam, The Netherlands
| | - Tycho R Tromp
- Department of Vascular Medicine, University of Amsterdam, The Netherlands
| | - Joep C Defesche
- Department of Clinical Genetics, University of Amsterdam, The Netherlands
| | - Aldo Grefhorst
- Department of Experimental Vascular Medicine, University of Amsterdam, The Netherlands
| | - Erik Sg Stroes
- Department of Vascular Medicine, University of Amsterdam, The Netherlands
| | - G Kees Hovingh
- Department of Vascular Medicine, University of Amsterdam, The Netherlands
| | - Linda Zuurbier
- Department of Clinical Genetics, University of Amsterdam, The Netherlands
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24
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Vikulova DN, Skorniakov IS, Bitoiu B, Brown C, Theberge E, Fordyce CB, Francis GA, Humphries KH, Mancini GJ, Pimstone SN, Brunham LR. Lipid-lowering therapy for primary prevention of premature atherosclerotic coronary artery disease: Eligibility, utilization, target achievement, and predictors of initiation. Am J Prev Cardiol 2020; 2:100036. [PMID: 34327459 PMCID: PMC8315606 DOI: 10.1016/j.ajpc.2020.100036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 06/29/2020] [Accepted: 06/30/2020] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVES Despite advances in screening and prevention, rates of premature coronary artery disease (CAD) have been stagnant. The goals of this study were to investigate the barriers to early risk detection and preventive treatment in patients with premature CAD. In particular, we: 1) assessed the performance of the latest versions of major international guidelines in detection of risk of premature CAD and eligibility for preventive treatment; and, 2) investigated real-life utilization of primary prevention with lipid-lowering therapies in these patients. METHODS We included patients in the Study to Avoid cardioVascular Events in British Columbia (SAVE BC), an observational study of patients with premature (males ≤ 50 years, females ≤ 55 years) angiographically confirmed CAD. Eligibility for primary prevention and treatment received were assessed retrospectively based on information recorded prior to or at the index presentation with CAD. RESULTS Of 417 patients (28.1% females) who met the criteria, 94.3% had at least one major cardiovascular risk factor. In the retrospective risk assessment, 41.7%, 61.4%, and 34.3% (p < 0.001) of patients met criteria for initiation of statin therapy, and an additional 13.9%, 8.4%, and 46.8% may be considered for treatment using the American College of Cardiology/American Heart Association, Canadian Cardiovascular Society, and European Society of Cardiology guidelines, respectively. Only 17.1% of patients received statins and 11.0% achieved guideline-recommended lipid goals before presentation. Diabetes and elevated plasma lipid levels were positively associated with treatment initiation, while smoking was associated with non-treatment. CONCLUSIONS The current versions of major guidelines fail to recognize many patients who develop premature CAD as being at risk. The vast majority of these patients, including patients who have guideline-directed indications, do not receive lipid-lowering therapy before presenting with CAD. Our findings highlight the need for more effective screening and prevention strategies for premature CAD.
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Affiliation(s)
- Diana N. Vikulova
- Department of Medicine, University of British Columbia, Vancouver, Canada
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, Canada
| | - Ilia S. Skorniakov
- Department of Family Practice, University of British Columbia, Vancouver, Canada
| | - Brendon Bitoiu
- Department of Medicine, University of British Columbia, Vancouver, Canada
| | - Chad Brown
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, Canada
| | - Emilie Theberge
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, Canada
| | | | - Gordon A. Francis
- Department of Medicine, University of British Columbia, Vancouver, Canada
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, Canada
| | - Karin H. Humphries
- Centre for Health Evaluation and Outcomes Science, University of British Columbia, Vancouver, Canada
| | - G.B. John Mancini
- Division of Cardiology, University of British Columbia, Vancouver, Canada
| | - Simon N. Pimstone
- Department of Medicine, University of British Columbia, Vancouver, Canada
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, Canada
| | - Liam R. Brunham
- Department of Medicine, University of British Columbia, Vancouver, Canada
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, Canada
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25
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Pang J, Abraham A, Vargas-García C, Bates TR, Chan DC, Hooper AJ, Bell DA, Burnett JR, Schultz CJ, Watts GF. An age-matched computed tomography angiographic study of coronary atherosclerotic plaques in patients with familial hypercholesterolaemia. Atherosclerosis 2020; 298:52-57. [PMID: 32171980 DOI: 10.1016/j.atherosclerosis.2020.03.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 02/28/2020] [Accepted: 03/03/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND AND AIMS Familial hypercholesterolaemia (FH) is characterised by a high, but variable risk of premature coronary artery disease (CAD). Cardiac computed tomography angiography (CCTA) can be employed to assess subclinical coronary atherosclerosis. We investigated the features and distribution of coronary artery plaques in asymptomatic patients with and without genetically confirmed heterozygous FH. METHODS We undertook an aged-matched case-control study of asymptomatic phenotypic FH patients with (cases, M+) and without (controls, M-) an FH-causing mutation. Coronary atherosclerosis was assessed by CCTA and calcium scoring. Coronary segments were evaluated for global and vessel-level coronary plaques and degree of stenosis. RESULTS We studied 104 cases and 104 controls (mean age 49.9 ± 10.4 years), who had a similar spectrum of non-cardiovascular risk factors. Pre-treatment plasma LDL-cholesterol was higher in the M+ than M- group (7.8 ± 2.1 vs 6.2 ± 1.2 mmol/L, p<0.001). There was a greater proportion of patients with mixed and calcified plaque, as well as a higher coronary artery calcium score and segment stenosis score (all p<0.05), in the M+ compared with the M- group. M+ patients also had a significantly higher frequency of coronary artery calcium in the left main and anterior descending and right coronary arteries (all p<0.05), but not in the left circumflex. CONCLUSIONS Among patients with phenotypic FH, those with a genetically confirmed diagnosis had a higher frequency and severity of coronary atherosclerotic plaques, and specifically more advanced calcified plaques.
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Affiliation(s)
- Jing Pang
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia
| | - Arun Abraham
- Department of Diagnostic Imaging, Royal Perth Hospital, Perth, Western Australia, Australia
| | - Cristian Vargas-García
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia
| | - Timothy R Bates
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia; St John of God Midland Public and Private Hospitals, Midland, Western Australia, Australia; Curtin Medical School, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
| | - Dick C Chan
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia
| | - Amanda J Hooper
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia; Department of Clinical Biochemistry, PathWest Laboratory Medicine WA, Royal Perth Hospital and Fiona Stanley Hospital Network, Perth, Western Australia, Australia
| | - Damon A Bell
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia; Department of Clinical Biochemistry, PathWest Laboratory Medicine WA, Royal Perth Hospital and Fiona Stanley Hospital Network, Perth, Western Australia, Australia; Department of Cardiology, Royal Perth Hospital, Perth, Western Australia, Australia
| | - John R Burnett
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia; Department of Clinical Biochemistry, PathWest Laboratory Medicine WA, Royal Perth Hospital and Fiona Stanley Hospital Network, Perth, Western Australia, Australia; Department of Cardiology, Royal Perth Hospital, Perth, Western Australia, Australia
| | - Carl J Schultz
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia; Department of Cardiology, Royal Perth Hospital, Perth, Western Australia, Australia
| | - Gerald F Watts
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia; Department of Cardiology, Royal Perth Hospital, Perth, Western Australia, Australia.
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26
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Vuorio A, Watts GF, Schneider WJ, Tsimikas S, Kovanen PT. Familial hypercholesterolemia and elevated lipoprotein(a): double heritable risk and new therapeutic opportunities. J Intern Med 2020; 287:2-18. [PMID: 31858669 DOI: 10.1111/joim.12981] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2019] [Accepted: 06/20/2019] [Indexed: 12/24/2022]
Abstract
There is compelling evidence that the elevated plasma lipoprotein(a) [Lp(a)] levels increase the risk of atherosclerotic cardiovascular disease (ASCVD) in the general population. Like low-density lipoprotein (LDL) particles, Lp(a) particles contain cholesterol and promote atherosclerosis. In addition, Lp(a) particles contain strongly proinflammatory oxidized phospholipids and a unique apoprotein, apo(a), which promotes the growth of an arterial thrombus. At least one in 250 individuals worldwide suffer from the heterozygous form of familial hypercholesterolemia (HeFH), a condition in which LDL-cholesterol (LDL-C) is significantly elevated since birth. FH-causing mutations in the LDL receptor gene demonstrate a clear gene-dosage effect on Lp(a) plasma concentrations and elevated Lp(a) levels are present in 30-50% of patients with HeFH. The cumulative burden of two genetically determined pro-atherogenic lipoproteins, LDL and Lp(a), is a potent driver of ASCVD in HeFH patients. Statins are the cornerstone of treatment of HeFH, but they do not lower the plasma concentrations of Lp(a). Emerging therapies effectively lower Lp(a) by as much as 90% using RNA-based approaches that target the transcriptional product of the LPA gene. We are now approaching the dawn of an era, in which permanent and significant lowering of the high cholesterol burden of HeFH patients can be achieved. If outcome trials of novel Lp(a)-lowering therapies prove to be safe and cost-effective, they will provide additional risk reduction needed to effectively treat HeFH and potentially lower the CVD risk in these high-risk patients even more than currently achieved with LDL-C lowering alone.
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Affiliation(s)
- A Vuorio
- From the, Mehiläinen Airport Health Centre, Vantaa, Finland.,Department of Forensic Medicine, University of Helsinki, Helsinki, Finland
| | - G F Watts
- School of Medicine, Faculty of Medicine and Health Sciences, University of Western Australia, Perth, Australia.,Lipid Disorders Clinic, Department of Cardiology, Royal Perth Hospital, Perth, Australia
| | - W J Schneider
- Department of Medical Biochemistry, Max F. Perutz Laboratories, Medical University of Vienna, Vienna, Austria
| | - S Tsimikas
- Vascular Medicine Program, Sulpizio Cardiovascular Center, Division of Cardiovascular Medicine, University of California, San Diego, CA, USA
| | - P T Kovanen
- Wihuri Research Institute, Helsinki, Finland
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27
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Chan DC, Pang J, Hooper AJ, Bell DA, Burnett JR, Watts GF. Effect of Lipoprotein(a) on the Diagnosis of Familial Hypercholesterolemia: Does It Make a Difference in the Clinic? Clin Chem 2019; 65:1258-1266. [DOI: 10.1373/clinchem.2019.306738] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Accepted: 06/10/2019] [Indexed: 11/06/2022]
Abstract
Abstract
BACKGROUND
Diagnostic tools for familial hypercholesterolemia (FH) rely on estimation of LDL cholesterol concentration. However, routine measurement or calculation of LDL cholesterol concentration using the Friedewald equation contains a cholesterol contribution from lipoprotein(a) [Lp(a)]. We investigated whether Lp(a) influences the phenotypic diagnosis of FH by commonly used clinical criteria.
METHODS
A cohort of 907 adult index patients attending a clinic were studied. The Dutch Lipid Clinic Network (DLCN) and Simon Broome (SB) diagnostic criteria were estimated before and after adjusting LDL cholesterol concentration for the cholesterol content (30%) of Lp(a). Diagnostic reclassification rates and area under the ROC (AUROC) curves in predicting an FH mutation were also compared.
RESULTS
Seventy-four patients defined by DLCN criteria (8.2%) and 207 patients defined by SB criteria (22.8%) were reclassified to “unlikely” FH after adjusting LDL cholesterol for Lp(a) cholesterol. The proportion of FH patients defined by DLCN (probable/definite) and SB (possible/definite) criteria decreased significantly in patients with increased Lp(a) (>0.5 g/L; n = 330) after Lp(a) cholesterol adjustment (P < 0.01). The overall reclassification rate was significantly higher in patients with Lp(a) concentration >1.0 g/L (P < 0.001). The AUROC curve for LDL cholesterol concentration ≥191 mg/dL (≥5.0 mmol/L), DLCN criteria, and SB criteria in predicting an FH mutation increased significantly after adjustment (P < 0.001). There was no significant difference in AUROC curve before and after Lp(a) cholesterol adjustment at an LDL cholesterol concentration ≥251 mg/dL (≥6.5 mmol/L).
CONCLUSIONS
Adjusting LDL cholesterol concentration for Lp(a) cholesterol improves the diagnostic accuracy of DLCN and SB criteria, especially with Lp(a) >1.0 g/L and LDL cholesterol <251 mg/dL (<6.5 mmol/L). Lp(a) should be measured in all patients suspected of having FH.
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Affiliation(s)
- Dick C Chan
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia
| | - Jing Pang
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia
| | - Amanda J Hooper
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia
- Department of Clinical Biochemistry, PathWest Laboratory Medicine WA, Royal Perth Hospital and Fiona Stanley Hospital Network, Perth, Western Australia, Australia
| | - Damon A Bell
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia
- Department of Clinical Biochemistry, PathWest Laboratory Medicine WA, Royal Perth Hospital and Fiona Stanley Hospital Network, Perth, Western Australia, Australia
- Lipid Disorders Clinic, Cardiometabolic Services, Department of Cardiology, Royal Perth Hospital, Perth, Western Australia, Australia
| | - John R Burnett
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia
- Department of Clinical Biochemistry, PathWest Laboratory Medicine WA, Royal Perth Hospital and Fiona Stanley Hospital Network, Perth, Western Australia, Australia
- Lipid Disorders Clinic, Cardiometabolic Services, Department of Cardiology, Royal Perth Hospital, Perth, Western Australia, Australia
| | - Gerald F Watts
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia
- Lipid Disorders Clinic, Cardiometabolic Services, Department of Cardiology, Royal Perth Hospital, Perth, Western Australia, Australia
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Sturm AC, Knowles JW, Gidding SS, Ahmad ZS, Ahmed CD, Ballantyne CM, Baum SJ, Bourbon M, Carrié A, Cuchel M, de Ferranti SD, Defesche JC, Freiberger T, Hershberger RE, Hovingh GK, Karayan L, Kastelein JJP, Kindt I, Lane SR, Leigh SE, Linton MF, Mata P, Neal WA, Nordestgaard BG, Santos RD, Harada-Shiba M, Sijbrands EJ, Stitziel NO, Yamashita S, Wilemon KA, Ledbetter DH, Rader DJ. Clinical Genetic Testing for Familial Hypercholesterolemia: JACC Scientific Expert Panel. J Am Coll Cardiol 2019; 72:662-680. [PMID: 30071997 DOI: 10.1016/j.jacc.2018.05.044] [Citation(s) in RCA: 341] [Impact Index Per Article: 68.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 05/11/2018] [Accepted: 05/15/2018] [Indexed: 01/01/2023]
Abstract
Although awareness of familial hypercholesterolemia (FH) is increasing, this common, potentially fatal, treatable condition remains underdiagnosed. Despite FH being a genetic disorder, genetic testing is rarely used. The Familial Hypercholesterolemia Foundation convened an international expert panel to assess the utility of FH genetic testing. The rationale includes the following: 1) facilitation of definitive diagnosis; 2) pathogenic variants indicate higher cardiovascular risk, which indicates the potential need for more aggressive lipid lowering; 3) increase in initiation of and adherence to therapy; and 4) cascade testing of at-risk relatives. The Expert Consensus Panel recommends that FH genetic testing become the standard of care for patients with definite or probable FH, as well as for their at-risk relatives. Testing should include the genes encoding the low-density lipoprotein receptor (LDLR), apolipoprotein B (APOB), and proprotein convertase subtilisin/kexin 9 (PCSK9); other genes may also need to be considered for analysis based on patient phenotype. Expected outcomes include greater diagnoses, more effective cascade testing, initiation of therapies at earlier ages, and more accurate risk stratification.
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Affiliation(s)
- Amy C Sturm
- Genomic Medicine Institute, Geisinger, Danville, Pennsylvania.
| | - Joshua W Knowles
- Department of Medicine, Division of Cardiovascular Medicine, and Cardiovascular Institute, Stanford University, Stanford California; The Familial Hypercholesterolemia Foundation, Pasadena, California
| | - Samuel S Gidding
- Nemours Cardiac Center, A.I. DuPont Hospital for Children, Wilmington, Delaware
| | - Zahid S Ahmad
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas
| | | | | | - Seth J Baum
- The Familial Hypercholesterolemia Foundation, Pasadena, California; Department of Integrated Medical Sciences, Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, Florida
| | - Mafalda Bourbon
- Unidade I&D, Grupo de Investigação Cardiovascular, Departamento de Promoção da Saúde e Doenças Não Transmissíveis, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisboa, Portugal; University of Lisboa, Faculty of Sciences, BioISI-Biosystems & Integrative Sciences Institute, Lisboa, Portugal
| | - Alain Carrié
- Sorbonne Université and Centre de Génétique Moléculaire et Chromosomique, unité de Génétique de l'Obésitéet des dyslipidémies, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Marina Cuchel
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sarah D de Ferranti
- Department of Cardiology, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Joep C Defesche
- Department of Clinical Genetics, Academic Medical Center at the University of Amsterdam, Amsterdam, the Netherlands
| | - Tomas Freiberger
- Central European Institute of Technology, Masaryk University, Brno, Czech Republic; Centre for Cardiovascular Surgery and Transplantation, Brno, Czech Republic
| | - Ray E Hershberger
- Department of Internal Medicine, Wexner Medical Center at The Ohio State University, Columbus, Ohio
| | - G Kees Hovingh
- Department of Vascular Medicine, Academic Medical Center, Amsterdam, the Netherlands
| | - Lala Karayan
- The Familial Hypercholesterolemia Foundation, Pasadena, California
| | | | - Iris Kindt
- The Familial Hypercholesterolemia Foundation, Pasadena, California
| | - Stacey R Lane
- The Familial Hypercholesterolemia Foundation, Pasadena, California
| | - Sarah E Leigh
- Bioinformatics, Genomics England, Queen Mary University of London, London, United Kingdom
| | - MacRae F Linton
- Medicine and Pharmacology, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Pedro Mata
- Fundación Hipercolesterolemia Familiar, Madrid, Spain
| | - William A Neal
- The Familial Hypercholesterolemia Foundation, Pasadena, California; Department of Pediatrics (Cardiology), West Virginia University, Morgantown, West Virginia
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Raul D Santos
- Lipid Clinic Heart Institute (InCor) University of São Paulo Medical School Hospital and Hospital Israelita Albert Einstein, São Paulo, Brazil
| | - Mariko Harada-Shiba
- Department of Molecular Innovation in Lipidology, National Cerebral and Cardiovascular Center Research Institute, Osaka, Japan
| | - Eric J Sijbrands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Nathan O Stitziel
- Department of Medicine, Division of Cardiology, Department of Genetics, McDonnell Genome Institute, Washington University School of Medicine, St. Louis, Missouri
| | - Shizuya Yamashita
- Department of Cardiovascular Medicine, Rinku General Medical Center, Osaka, Japan; Departments of Community Medicine and Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | | | | | - Daniel J Rader
- The Familial Hypercholesterolemia Foundation, Pasadena, California; Departments of Genetics, Medicine, and Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
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Use of Lipoprotein(a) in clinical practice: A biomarker whose time has come. A scientific statement from the National Lipid Association. J Clin Lipidol 2019; 13:374-392. [DOI: 10.1016/j.jacl.2019.04.010] [Citation(s) in RCA: 202] [Impact Index Per Article: 40.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Revised: 04/26/2019] [Accepted: 04/26/2019] [Indexed: 12/24/2022]
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Ellis KL, Chakraborty A, Moses EK, Watts GF. To test, or not to test: that is the question for the future of lipoprotein(a). Expert Rev Cardiovasc Ther 2019; 17:241-250. [PMID: 30916582 DOI: 10.1080/14779072.2019.1596799] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
INTRODUCTION Lipoprotein(a) [Lp(a)] is a potent, highly heritable and common risk factor for atherosclerotic cardiovascular disease (ASCVD). Evidence for a causal association between elevated Lp(a) and ASCVD has been provided by large epidemiological investigations that have demonstrated a curvilinear association with increased risk, as well as from genetic examinations and cellular and transgenic animal studies. Although there are several therapies available for lowering Lp(a), none are selective for Lp(a) and there is no clinical trial data that has specifically shown that lowering Lp(a) reduces the risk of ASCVD. Hence, screening for elevated Lp(a) is not routinely incorporated into clinical practice. Areas covered: This paper reviews the current evidence supporting the causal role of Lp(a) in the primary and secondary prevention of ASCVD, screening approaches for high Lp(a), current guidelines on testing Lp(a), and barriers to the routine screening of elevated Lp(a) in clinical practice. Expert opinion: At present, there is a moderate level of evidence supporting the routine screening of elevated Lp(a). Current guidelines recommend testing for elevated Lp(a) in individuals at intermediate or high risk of ASCVD.
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Affiliation(s)
- Katrina L Ellis
- a Centre for Genetic Origins of Health and Disease, School of Biomedical Sciences, The University of Western Australia and School of Biomedical Sciences , Curtin University , Perth , Australia.,b School of Medicine, Faculty of Medicine and Health Sciences , University of Western Australia , Perth , Australia
| | - Anindita Chakraborty
- b School of Medicine, Faculty of Medicine and Health Sciences , University of Western Australia , Perth , Australia
| | - Eric K Moses
- a Centre for Genetic Origins of Health and Disease, School of Biomedical Sciences, The University of Western Australia and School of Biomedical Sciences , Curtin University , Perth , Australia
| | - Gerald F Watts
- b School of Medicine, Faculty of Medicine and Health Sciences , University of Western Australia , Perth , Australia.,c Lipid Disorders Clinic, Department of Cardiology , Royal Perth Hospital , Perth , Australia
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31
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Prevalence of heterozygous familial hypercholesterolemia and combined hyperlipidemia phenotype in very young survivors of myocardial infarction and their association with the severity of atheromatous burden. J Clin Lipidol 2019; 13:502-508. [PMID: 30956097 DOI: 10.1016/j.jacl.2019.02.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Revised: 02/20/2019] [Accepted: 02/25/2019] [Indexed: 11/21/2022]
Abstract
BACKGROUND Heterozygous familial hypercholesterolemia (HeFH) and combined hyperlipidemia (CHL) phenotype are associated with premature myocardial infarction (MI). OBJECTIVE To assess the prevalence of HeFH and CHL phenotype among young survivors of MI and compare patients' characteristics with these 2 lipid disorders. METHODS We recruited 382 young survivors of MI (≤40 years). Fasting lipids, lipoprotein(a) [Lp(a)], apolipoprotein A-1, and apolipoprotein B (apoB) levels were determined. Using the Dutch Lipid Clinic Network (DLCN) algorithm, patients having definite or probable HeFH were identified. Patients with apoB levels >120 mg/dL and triglyceride levels >170 mg/dL (1.92 mmol/L) [>90th percentile of 326 age and sex-matched healthy controls] were classified as having CHL phenotype. Common carotid artery intima-media thickness (CCA-IMT) was measured by B-mode ultrasonography. RESULTS Eighty-one patients (21.2%) had definite/probable HeFH and 62 (16.2%) had CHL phenotype. Twenty-three patients fulfilled the criteria for both HeFH and CHL phenotype and were removed from further comparisons. Patients with HeFH (n = 58) had higher levels of total cholesterol, low-density lipoprotein (LDL)-cholesterol, Lp(a), and apoB, whereas patients with CHL phenotype (n = 39) had higher levels of triglycerides and lower high-density lipoprotein (HDL)-cholesterol levels. The prevalence of metabolic syndrome was higher in patients with CHL phenotype compared to those with HeFH (67.0% vs 16.4%, P < .001). Patients with HeFH had more extensive coronary artery disease (3-vessel disease: 36.2% vs 12.8%, P = .011) and greater right CCA-IMT (0.67 ± 0.11 mm vs 0.56 ± 0.09 mm, P < .001) and left CCA-IMT (0.68 ± 0.10 mm vs 0.56 ± 0.08 mm, P < .001) compared to CHL phenotype patients. CONCLUSIONS Both HeFH and CHL phenotype are common among patients with premature MI. CHL phenotype compared to HeFH is associated with less atheromatous burden in coronary and carotid arteries at the time of first MI.
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Enas EA, Varkey B, Dharmarajan TS, Pare G, Bahl VK. Lipoprotein(a): An independent, genetic, and causal factor for cardiovascular disease and acute myocardial infarction. Indian Heart J 2019; 71:99-112. [PMID: 31280836 PMCID: PMC6620428 DOI: 10.1016/j.ihj.2019.03.004] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2019] [Revised: 02/10/2019] [Accepted: 03/13/2019] [Indexed: 12/24/2022] Open
Abstract
Lipoprotein(a) [Lp(a)] is a circulating lipoprotein, and its level is largely determined by variation in the Lp(a) gene (LPA) locus encoding apo(a). Genetic variation in the LPA gene that increases Lp(a) level also increases coronary artery disease (CAD) risk, suggesting that Lp(a) is a causal factor for CAD risk. Lp(a) is the preferential lipoprotein carrier for oxidized phospholipids (OxPL), a proatherogenic and proinflammatory biomarker. Lp(a) adversely affects endothelial function, inflammation, oxidative stress, fibrinolysis, and plaque stability, leading to accelerated atherothrombosis and premature CAD. The INTER-HEART Study has established the usefulness of Lp(a) in assessing the risk of acute myocardial infarction in ethnically diverse populations with South Asians having the highest risk and population attributable risk. The 2018 Cholesterol Clinical Practice Guideline have recognized elevated Lp(a) as an atherosclerotic cardiovascular disease risk enhancer for initiating or intensifying statin therapy.
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Affiliation(s)
- Enas A Enas
- Coronary Artery Disease in Indians (CADI) Research Foundation, Lisle, IL USA.
| | - Basil Varkey
- Emeritus of Medicine, Medical College of Wisconsin, USA
| | - T S Dharmarajan
- Medicine, Albert Einstein College of Medicine, Bronx, NY, USA; Department of Medicine, Montefiore Medical Center (Wakefield Campus), Bronx, NY, USA
| | | | - Vinay K Bahl
- Department of Cardiology, All India Institute of Medical Sciences New Delhi, India
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33
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Lan NSR, Martin AC, Brett T, Watts GF, Bell DA. Improving the detection of familial hypercholesterolaemia. Pathology 2018; 51:213-221. [PMID: 30579649 DOI: 10.1016/j.pathol.2018.10.015] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Revised: 10/15/2018] [Accepted: 10/15/2018] [Indexed: 02/03/2023]
Abstract
Familial hypercholesterolaemia (FH) is a dominantly inherited disorder of low-density lipoprotein (LDL) catabolism, which if untreated causes lifelong elevated LDL-cholesterol (LDL-c), accelerated atherosclerosis and premature cardiovascular disease. Recent evidence suggests the prevalence of heterozygous FH is ∼1:220, making FH the most common autosomal dominant condition. Lowering LDL-c with statin and lifestyle therapy reduces the risk of cardiovascular events. Furthermore, proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors significantly lower LDL-c in addition to statin therapy, and early outcome data suggest improved vascular outcomes with these agents in FH patients in addition to statins. However, the vast majority of people with FH still remain undiagnosed. The onus is on clinicians to identify kindreds with FH, as PCSK9 inhibitors, although expensive, are funded for patients with FH in Australia. Multiple strategies for detecting FH have been proposed. The detection of index cases can be achieved through applying electronic screening tools to general practice databases, universal screening of children during immunisation, and targeted screening of patients with premature cardiovascular disease. Advances in genomic technology have decreased costs of genetic testing, improved the understanding of the pathogenesis of FH and facilitated cascade screening. However, awareness of FH amongst clinicians and the general public still requires optimisation. This review outlines recent advances in FH detection, including emerging strategies and challenges for the next decade.
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Affiliation(s)
- Nick S R Lan
- Department of Endocrinology and Diabetes, Fiona Stanley Hospital, Murdoch, WA, Australia
| | - Andrew C Martin
- Department of General Paediatrics, Perth Children's Hospital, Nedlands, WA, Australia
| | - Tom Brett
- Department of General Practice and Primary Health Care Research, School of Medicine, The University of Notre Dame Australia, Fremantle, WA, Australia
| | - Gerald F Watts
- Faculty of Health and Medical Sciences, School of Medicine, The University of Western Australia, Crawley, WA, Australia; Department of Cardiology, Lipid Disorders Clinic, Cardiometabolic Service, Royal Perth Hospital, Perth, WA, Australia
| | - Damon A Bell
- Faculty of Health and Medical Sciences, School of Medicine, The University of Western Australia, Crawley, WA, Australia; Department of Cardiology, Lipid Disorders Clinic, Cardiometabolic Service, Royal Perth Hospital, Perth, WA, Australia; Department of Clinical Biochemistry, PathWest Laboratory Medicine, Royal Perth Hospital, Perth, WA, Australia; Department of Clinical Biochemistry, Australian Clinical Laboratories, Perth, WA, Australia.
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Taghizadeh E, Mardani R, Rostami D, Taghizadeh H, Bazireh H, Hayat SMG. Molecular mechanisms, prevalence, and molecular methods for familial combined hyperlipidemia disease: A review. J Cell Biochem 2018; 120:8891-8898. [DOI: 10.1002/jcb.28311] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Accepted: 11/28/2018] [Indexed: 11/05/2022]
Affiliation(s)
- Eskandar Taghizadeh
- Department of Medical Genetics Faculty of Medicine, Mashhad University of Medical Sciences Mashhad Iran
- Cellular and Molecular Research Center, Yasuj University of Medical Sciences Yasuj Iran
| | - Rajab Mardani
- Department of Biochemistry Pasteur Institute of Iran Tehran Iran
| | - Daryoush Rostami
- Department of School Allied Zabol University of Medical Sciences Zabol Iran
| | - Hassan Taghizadeh
- Cellular and Molecular Research Center, Yasuj University of Medical Sciences Yasuj Iran
| | - Homa Bazireh
- Department of Industrial and Environmental Biotechnology National Institute of Genetic Engineering and Biotechnology Tehran Iran
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Schöb M, Müller P, Gerth Y, Korte W, Rickli H, Brändle M, Bärlocher A, Bilz S. [Diagnosis and Treatment of Familial Hypercholesterolemia]. PRAXIS 2018; 107:1345-1353. [PMID: 30482120 DOI: 10.1024/1661-8157/a003134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Diagnosis and Treatment of Familial Hypercholesterolemia Abstract. Familial hypercholesterolemia secondary to heterozygous mutations in the LDL receptor, Apolipoprotein B or PCSK9 gene is characterized by 2- to 3-fold elevated LDL cholesterol levels, premature atherosclerosis and extravascular cholesterol deposits (tendon xanthomata, corneal arcus). The same phenotype may occur if a person carries several LDL cholesterol rising polymorphisms (polygenic FH). Primary prevention with statins has been shown to dramatically reduce the cardiovascular burden in patients with the disease. However, it is estimated that less than 10 % of affected subjects in Switzerland have received the diagnosis, and undertreatment is frequent. Thus, clinical cardiovascular events are still the first manifestation of the disease in many cases. A correct diagnosis in index patients and cascade screening of families are mandatory to identify and treat patients before they suffer the sequelae of untreated severe hypercholesterolemia. In patients with clinical cardiovascular disease combination lipid lowering treatment with potent statins, ezetimibe and the newly available PCSK9 inhibitors will successfully lower LDL cholesterol to normal or even target levels.
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Affiliation(s)
- Manuela Schöb
- 1 Klinik für Endokrinologie, Diabetologie, Osteologie und Stoffwechselkrankheiten, Kantonsspital St. Gallen
| | - Pascal Müller
- 2 Pädiatrische Gastroenterologie & Ernährungsmedizin, Ostschweizer Kinderspital, St. Gallen
| | | | | | - Hans Rickli
- 4 Klinik für Kardiologie, Kantonsspital St. Gallen
| | - Michael Brändle
- 1 Klinik für Endokrinologie, Diabetologie, Osteologie und Stoffwechselkrankheiten, Kantonsspital St. Gallen
- 5 Klinik für Allgemeine Innere Medizin und Hausarztmedizin, Kantonsspital St. Gallen
| | | | - Stefan Bilz
- 1 Klinik für Endokrinologie, Diabetologie, Osteologie und Stoffwechselkrankheiten, Kantonsspital St. Gallen
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da Silva PM, Duarte JS, von Hafe P, Gil V, de Oliveira JN, de Sousa G. Standardization of laboratory and lipid profile evaluation: A call for action with a special focus in 2016 ESC/EAS dyslipidaemia guidelines - Full report. ATHEROSCLEROSIS SUPP 2018; 31:e1-e12. [PMID: 29859563 DOI: 10.1016/j.atherosclerosissup.2018.04.001] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Even with the improvement in lifestyle interventions, a better control of cardiovascular (CV) risk factors, and improvements in CV outcomes, cardiovascular disease (CVD) still persists as the leading cause of morbidity and mortality in Portugal and Europe. Atherogenic dyslipidaemias, namely hypercholesterolaemia, have a crucial and causal role in the development of atherosclerotic CVD. The clinical approach of a patient with dyslipidaemia involves a watchful diagnosis, sustained in lipid and lipoprotein laboratory procedures, which must be harmonized and standardized. Standardization of lipid test results and reports, incorporating the total CV risk and the respective target and goals of treatment approach, guarantees that clinical guidelines and good clinical practices are followed and respected, increasing the reliability of lipid disorders screening, producing more accurate diagnoses and CV risk stratification, and improving the CV prevention and the achievement the desirable treatment goals.
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Affiliation(s)
- Pedro Marques da Silva
- Coordinator of the Cardiovascular Risk and Prevention Group of the Portuguese Internal Medicine Society, Arterial Investigation Unit, Medicine Department, Medicina 4, Hospital de Santa Marta - Centro Hospitalar de Lisboa Central, EPE, Lisboa, Portugal.
| | - J Sequeira Duarte
- General Secretary of the Portuguese Atherosclerosis Society, Endocrinology Department - Hospital de Egas Moniz, Centro Hospitalar de Lisboa Ocidental, EPE, Lisboa, Portugal
| | - Pedro von Hafe
- Member of the Board of the Cardiovascular Risk and Prevention Group of the Portuguese Internal Medicine Society, Internal Medicine Department, Centro Hospitalar São João, Porto, Portugal
| | - Victor Gil
- Elect President of the Portuguese Society of Cardiology, Cardiovascular Unity, Hospital Lusíadas Lisboa, Lisboa, Portugal
| | - Jorge Nunes de Oliveira
- President of the Portuguese Association of Clinical Chemistry, Board of the Portuguese Society of Laboratory Medicine, Clinical analysis laboratory "Prof. Doutor Joaquim J, Nunes de Oliveira, Lda", Póvoa do Varzim, Portugal
| | - Germano de Sousa
- re. Germano de Sousa Group - Centro de Medicina Laboratorial, Pólo Tecnológico de Lisboa, Portugal
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Pang J, David Marais A, Blom DJ, Brice BC, Silva PRS, Jannes CE, Pereira AC, Hooper AJ, Ray KK, Santos RD, Watts GF. Heterozygous familial hypercholesterolaemia in specialist centres in South Africa, Australia and Brazil: Importance of early detection and lifestyle advice. Atherosclerosis 2018; 277:470-476. [DOI: 10.1016/j.atherosclerosis.2018.06.822] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Revised: 05/22/2018] [Accepted: 06/14/2018] [Indexed: 12/31/2022]
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Pojskic L, Pojskic B. Familial hypercholesterolemia screening program in Bosnia and Herzegovina and cardiovascular morbidity. Atherosclerosis 2018; 277:278-281. [DOI: 10.1016/j.atherosclerosis.2018.06.880] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2018] [Revised: 06/16/2018] [Accepted: 06/21/2018] [Indexed: 10/28/2022]
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40
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Dyslipidemias in clinical practice. Clin Chim Acta 2018; 487:117-125. [PMID: 30201369 DOI: 10.1016/j.cca.2018.09.010] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2018] [Revised: 09/06/2018] [Accepted: 09/06/2018] [Indexed: 01/14/2023]
Abstract
Most dyslipidemic conditions have been linked to an increased risk of cardiovascular disease. Over the past few years major advances have been made regarding the genetic and metabolic basis of dyslipidemias. Detailed characterization of the genetic basis of familial lipid disorders and knowledge concerning the effects of environmental factors on the expression of dyslipidemias have increased substantially, contributing to a better diagnosis in individual patients. In addition to these developments, therapeutic options to lower cholesterol levels in clinical practice have expanded even further in patients with familial hypercholesterolemia and in subjects with cardiovascular disease. Finally, promising upcoming therapeutic lipid lowering strategies will be reviewed. All these advances will be discussed in relation to current clinical practice with special focus on common lipid disorders including familial dyslipidemias.
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De Luca L, Arca M, Temporelli PL, Colivicchi F, Gonzini L, Lucci D, Bosco B, Callerame M, Lettica GV, Di Lenarda A, Gulizia MM. Prevalence and pharmacologic management of familial hypercholesterolemia in an unselected contemporary cohort of patients with stable coronary artery disease. Clin Cardiol 2018; 41:1075-1083. [PMID: 30039543 DOI: 10.1002/clc.23031] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Revised: 07/16/2018] [Accepted: 07/20/2018] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION Familial hypercholesterolemia (FH) is an inherited disorder characterized by elevated plasma levels of low-density lipoprotein cholesterol (LDL-C) associated with premature cardiovascular disease. METHODS Using the data from the START (STable Coronary Artery Diseases RegisTry) study, a nationwide, prospective survey on patients with stable coronary artery disease (CAD), we described prevalence and lipid lowering strategies commonly employed in these patients. The study population was divided into "definite/probable FH," defined as a Dutch Lipid Clinic Network (DLCN) score ≥6, "possible FH" with DLCN 3-5, and "unlikely FH" in presence of a DLCN <3. RESULTS Among the 4030 patients with the DLCN score available, 132 (3.3%) were classified as FH (2.3% with definite/probable and 1.0% with possible FH) and 3898 (96.7%) had unlikely FH. Patients with both definite/probable and possible FH were younger compared to patients not presenting FH. Mean on-treatment LDL-C levels were 107.8 ± 41.5, 84.4 ± 40.9, and 85.8 ± 32.3 (P < 0.0001) and a target of ≤70 mg/dL was reached in 10.9%, 30.0%, and 22.0% (P < 0.0001) of patents with definite/probable, possible FH, and unlikely FH, respectively. Statin therapy was prescribed in 85 (92.4%) patients with definite/probable FH, in 38 (95.0%) with possible FH, and in 3621 (92.9%) with unlikely FH (P = 0.86). The association of statin and ezetimibe, in absence of other lipid-lowering therapy, was more frequently used in patients with definite/probable FH compared to patients without FH (31.5% vs 17.5% vs 9.5%; P < 0.0001). CONCLUSIONS In this large cohort of consecutive patients with stable CAD, FH was highly prevalent and generally undertreated with lipid lowering therapies.
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Affiliation(s)
- Leonardo De Luca
- Division of Cardiology, S. Giovanni Evangelista Hospital, Tivoli, Italy.,ANMCO Research Center, Firenze, Italy
| | - Marcello Arca
- Department of Internal Medicine and Medical Specialties, Sapienza University of Rome, Roma, Italy
| | - Pier L Temporelli
- Division of Cardiology, Istituti Clinici Scientifici Maugeri, IRCCS, Novara, Italy
| | | | | | | | - Biagio Bosco
- Division of Cardiology, S. Giuseppe e Melorio Hospital, S. Maria Capua Vetere, Italy
| | | | - Giulio V Lettica
- Division of Cardiology, R. Guzzardi Hospital, Vittoria, Ragusa, Italy
| | - Andrea Di Lenarda
- Cardiology, Azienda Sanitaria Universitaria Integrata di Trieste, Trieste, Italy
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Chan DC, Pang J, Hooper AJ, Bell DA, Bates TR, Burnett JR, Watts GF. A Comparative Analysis of Phenotypic Predictors of Mutations in Familial Hypercholesterolemia. J Clin Endocrinol Metab 2018; 103:1704-1714. [PMID: 29408959 DOI: 10.1210/jc.2017-02622] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Accepted: 01/29/2018] [Indexed: 02/13/2023]
Abstract
CONTEXT The gold standard for diagnosing familial hypercholesterolemia (FH) is identification of a causative pathogenic mutation. However, genetic testing is expensive and not widely available. OBJECTIVE To compare the validity of the Dutch Lipid Clinic Network (DLCN), Simon Broome (SB), Make Early Diagnosis to Prevent Early Deaths (MEDPED), and American Heart Association (AHA) criteria in predicting an FH-causing mutation. DESIGN, SETTING, AND PATIENTS An adult cohort of unrelated patients referred to a lipid clinic for genetic testing. MAIN OUTCOME MEASURES Odds ratio (OR), area under the curve (AUC), sensitivity, and specificity. RESULTS A pathogenic FH-causing mutation was detected in 30% of 885 patients tested. Elevated low-density lipoprotein (LDL) cholesterol and personal or family history of tendon xanthomata were independent predictors of a mutation (OR range 5.3 to 16.1, P < 0.001). Prediction of a mutation for the DLCN and SB definite and MEDPED criteria (ORs 9.4, 11.7, and 10.5, respectively) was higher than with the AHA criteria (OR 4.67). The balance of sensitivity and specificity was in decreasing order DLCN definite (Youden Index 0.487), MEDPED (0.457), SB definite (0.274), and AHA criteria (0.253), AUC being significantly higher with DLCN definite and MEDPED than other criteria (P < 0.05). Pretreatment LDL cholesterol and tendon xanthomata had the highest AUC in predicting a mutation. CONCLUSIONS The DLCN, SB, and MEDPED criteria are valid predictors of an FH-causing mutation in patients referred to a lipid clinic, but concordance between these phenotypic criteria is only moderate. Use of pretreatment LDL cholesterol and tendon xanthomata alone may be particularly useful for deciding who should be genetically tested for FH.
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Affiliation(s)
- Dick C Chan
- School of Medicine, University of Western Australia, Perth, Western Australia, Australia
| | - Jing Pang
- 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, Royal Perth Hospital and Fiona Stanley Hospital Network, 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, Royal Perth Hospital and Fiona Stanley Hospital Network, Perth, Western Australia, Australia
- Lipid Disorders Clinic, Department of Cardiology, Royal Perth Hospital, Perth, Western Australia, Australia
| | - Timothy R Bates
- School of Medicine, University of Western Australia, Perth, Western Australia, Australia
- St. John of God Midland Public and Private Hospitals, Midland, Western Australia, Australia
| | - John R Burnett
- School of Medicine, University of Western Australia, Perth, Western Australia, Australia
- Department of Clinical Biochemistry, PathWest Laboratory Medicine, Royal Perth Hospital and Fiona Stanley Hospital Network, Perth, Western Australia, Australia
- Lipid Disorders Clinic, Department of Cardiology, Royal Perth Hospital, Perth, Western Australia, Australia
| | - Gerald F Watts
- School of Medicine, University of Western Australia, Perth, Western Australia, Australia
- Lipid Disorders Clinic, Department of Cardiology, Royal Perth Hospital, Perth, Western Australia, Australia
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Cholesterol oversynthesis markers define familial combined hyperlipidemia versus other genetic hypercholesterolemias independently of body weight. J Nutr Biochem 2018; 53:48-57. [DOI: 10.1016/j.jnutbio.2017.10.005] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Revised: 09/07/2017] [Accepted: 10/14/2017] [Indexed: 12/31/2022]
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Abdul-Razak S, Rahmat R, Mohd Kasim A, Rahman TA, Muid S, Nasir NM, Ibrahim Z, Kasim S, Ismail Z, Abdul Ghani R, Sanusi AR, Rosman A, Nawawi H. Diagnostic performance of various familial hypercholesterolaemia diagnostic criteria compared to Dutch lipid clinic criteria in an Asian population. BMC Cardiovasc Disord 2017; 17:264. [PMID: 29037163 PMCID: PMC5644062 DOI: 10.1186/s12872-017-0694-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2016] [Accepted: 10/06/2017] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Familial hypercholesterolaemia (FH) is a genetic disorder with a high risk of developing premature coronary artery disease that should be diagnosed as early as possible. Several clinical diagnostic criteria for FH are available, with the Dutch Lipid Clinic Criteria (DLCC) being widely used. Information regarding diagnostic performances of the other criteria against the DLCC is scarce. We aimed to examine the diagnostic performance of the Simon-Broom (SB) Register criteria, the US Make Early Diagnosis to Prevent Early Deaths (US MEDPED) and the Japanese FH Management Criteria (JFHMC) compared to the DLCC. METHODS Seven hundered fifty five individuals from specialist clinics and community health screenings with LDL-c level ≥ 4.0 mmol/L were selected and diagnosed as FH using the DLCC, the SB Register criteria, the US MEDPED and the JFHMC. The sensitivity, specificity, efficiency, positive and negative predictive values of individuals screened with the SB register criteria, US MEDPED and JFHMC were assessed against the DLCC. RESULTS We found the SB register criteria identified more individuals with FH compared to the US MEDPED and the JFHMC (212 vs. 105 vs. 195; p < 0.001) when assessed against the DLCC. The SB Register criteria, the US MEDPED and the JFHMC had low sensitivity (51.1% vs. 25.3% vs. 47.0% respectively). The SB Register criteria showed better diagnostic performance than the other criteria with 98.8% specificity, 28.6% efficiency value, 98.1% and 62.3% for positive and negative predictive values respectively. CONCLUSION The SB Register criteria appears to be more useful in identifying positive cases leading to genetic testing compared to the JFHMC and US MEDPED in this Asian population. However, further research looking into a suitable diagnosis criterion with high likelihood of positive genetic findings is required in the Asian population including in Malaysia.
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Affiliation(s)
- Suraya Abdul-Razak
- Institute for Pathology, Laboratory and Forensic Medicine (I-PPerForM), University Teknologi MARA, 47000 Sungai Buloh, Selangor Malaysia
- Primary Care Medicine Discipline, Faculty of Medicine, University Teknologi MARA, 68100 Selayang, Selangor Malaysia
| | - Radzi Rahmat
- Pathology Discipline, Faculty of Medicine, University Teknologi MARA, 47000 Sungai Buloh, Selangor Malaysia
| | - Alicezah Mohd Kasim
- Institute for Pathology, Laboratory and Forensic Medicine (I-PPerForM), University Teknologi MARA, 47000 Sungai Buloh, Selangor Malaysia
- Pathology Discipline, Faculty of Medicine, University Teknologi MARA, 47000 Sungai Buloh, Selangor Malaysia
| | - Thuhairah Abdul Rahman
- Institute for Pathology, Laboratory and Forensic Medicine (I-PPerForM), University Teknologi MARA, 47000 Sungai Buloh, Selangor Malaysia
- Pathology Discipline, Faculty of Medicine, University Teknologi MARA, 47000 Sungai Buloh, Selangor Malaysia
| | - Suhaila Muid
- Institute for Pathology, Laboratory and Forensic Medicine (I-PPerForM), University Teknologi MARA, 47000 Sungai Buloh, Selangor Malaysia
- Pathology Discipline, Faculty of Medicine, University Teknologi MARA, 47000 Sungai Buloh, Selangor Malaysia
| | - Nadzimah Mohd Nasir
- Pathology Discipline, Faculty of Medicine, University Teknologi MARA, 47000 Sungai Buloh, Selangor Malaysia
| | - Zubin Ibrahim
- Institute for Pathology, Laboratory and Forensic Medicine (I-PPerForM), University Teknologi MARA, 47000 Sungai Buloh, Selangor Malaysia
- Cardiology Unit, Faculty of Medicine, University Teknologi MARA, 47000 Sungai Buloh, Selangor Malaysia
| | - Sazzli Kasim
- Institute for Pathology, Laboratory and Forensic Medicine (I-PPerForM), University Teknologi MARA, 47000 Sungai Buloh, Selangor Malaysia
- Cardiology Unit, Faculty of Medicine, University Teknologi MARA, 47000 Sungai Buloh, Selangor Malaysia
| | - Zaliha Ismail
- Institute for Pathology, Laboratory and Forensic Medicine (I-PPerForM), University Teknologi MARA, 47000 Sungai Buloh, Selangor Malaysia
- Population Health and Preventive Medicine Discipline, Faculty of Medicine, University Teknologi MARA, 47000 Sungai Buloh, Selangor Malaysia
| | - Rohana Abdul Ghani
- Institute for Pathology, Laboratory and Forensic Medicine (I-PPerForM), University Teknologi MARA, 47000 Sungai Buloh, Selangor Malaysia
- Endocrinology Disciplines, Faculty of Medicine, Universiti Teknologi MARA (UiTM), 47000 Sungai Buloh, Selangor Malaysia
| | - Abdul Rais Sanusi
- National Heart Institute, No 145 Jalan Tun Razak, 50400 Kuala Lumpur, Malaysia
| | - Azhari Rosman
- National Heart Institute, No 145 Jalan Tun Razak, 50400 Kuala Lumpur, Malaysia
| | - Hapizah Nawawi
- Institute for Pathology, Laboratory and Forensic Medicine (I-PPerForM), University Teknologi MARA, 47000 Sungai Buloh, Selangor Malaysia
- Pathology Discipline, Faculty of Medicine, University Teknologi MARA, 47000 Sungai Buloh, Selangor Malaysia
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