1
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Naoum I, Saliba W, Aker A, Zafrir B. Lipid-lowering therapy with inclisiran in the real-world setting: Initial data from a national health care service. J Clin Lipidol 2024; 18:e809-e816. [PMID: 38908973 DOI: 10.1016/j.jacl.2024.05.003] [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: 02/21/2024] [Revised: 04/18/2024] [Accepted: 05/20/2024] [Indexed: 06/24/2024]
Abstract
BACKGROUND Inclisiran, a small-interfering RNA enabling long-term inhibition of proprotein convertase subtilisin kexin type 9 (PCSK9) synthesis, demonstrates a good safety and efficacy profile in clinical trials. Real-world data on the potential to attain lipid-goals and reduce treatment gaps are lacking. OBJECTIVES To investigate the implementation of inclisiran in real-world clinical setting. METHODS Data from a nationwide healthcare organization on patients initiating inclisiran between 3/2022-11/2023. Patients' characteristics, lipid-lowering therapies, post-treatment reduction in low-density lipoprotein cholesterol (LDL-C), and attainment of treatment goals were evaluated. RESULTS Inclisiran was initiated by 503 patients (57% women; mean age 66±11 years). Cardiovascular disease was present in 54%, and peak LDL-C levels >190 mg/dL documented in 64%. Prior exposure to PCSK9 monoclonal antibodies was evident in 28%. Lipid profile >2 months after filling first prescription, was available in 397 patients (347 with ≥2 injections). In patients treated by inclisiran only (n = 254), median LDL-C reduction from peak levels was 57% (interquartile range [IQR], 48%-67%), and from pre-injection levels 40% (19%-54%). In those with concomitant lipid-lowering therapies (n = 143), median LDL-C reduction from peak levels was 66% (IQR, 55%-73%), and from pre-injection levels 46% (23%-59%). LDL-C < 70 mg/dL was attained by 39% and LDL-C < 55 mg/dL by 21.9%. Of those treated with concomitant statin therapy, 38% attained LDL-C < 55 mg/dL. Overall, 6.5% discontinued inclisiran therapy after initial injection. CONCLUSIONS In real-world practice, inclisiran showed good efficacy in reducing LDL-C with high interindividual variability. However, attainment rates of lipid goals were suboptimal due to limited use of combination lipid-lowering therapy and high rates of severe hypercholesterolemia in our patient population cohort.
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Affiliation(s)
- Ibrahim Naoum
- Department of Cardiology, Lady Davis Carmel Medical Center, Haifa, Israel (Drs Naoum, Aker, Zafrir)
| | - Walid Saliba
- Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel (Dr Saliba); Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel (Drs Saliba, Zafrir)
| | - Amir Aker
- Department of Cardiology, Lady Davis Carmel Medical Center, Haifa, Israel (Drs Naoum, Aker, Zafrir)
| | - Barak Zafrir
- Department of Cardiology, Lady Davis Carmel Medical Center, Haifa, Israel (Drs Naoum, Aker, Zafrir); Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel (Drs Saliba, Zafrir).
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2
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Molokhia M, Wierzbicki AS, Williams H, Kirubakaran A, Devani R, Durbaba S, Ayis S, Qureshi N. Assessment of ethnic inequalities in diagnostic coding of familial hypercholesterolaemia (FH): A cross-sectional database study in Lambeth, South London. Atherosclerosis 2024; 388:117353. [PMID: 38157708 DOI: 10.1016/j.atherosclerosis.2023.117353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 10/06/2023] [Accepted: 10/17/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND AND AIMS Differences in the perceived prevalence of familial hypercholesterolemia (FH) by ethnicity are unclear. In this study, we aimed to assess the prevalence, determinants and management of diagnostically-coded FH in an ethnically diverse population in South London. METHODS A cross-sectional analysis of 40 practices in 332,357 adult patients in Lambeth was undertaken. Factors affecting a (clinically coded) diagnosis of FH were investigated by multi-level logistic regression adjusted for socio-demographic and lifestyle factors, co-morbidities, and medications. RESULTS The age-adjusted FH % prevalence rate (OR, 95%CI) ranged from 0.10 to 1.11, 0.00-1.31. Lower rates of FH coding were associated with age (0.96, 0.96-0.97) and male gender (0.75, 0.65-0.87), p < 0.001. Compared to a White British reference group, a higher likelihood of coded FH was noted in Other Asians (1.33, 1.01-1.76), p = 0.05, with lower rates in Black Africans (0.50, 0.37-0.68), p < 0.001, Indians (0.55, 0.34-0.89) p = 0.02, and in Black Caribbeans (0.60, 0.44-0.81), p = 0.001. The overall prevalence using Simon Broome criteria was 0.1%; we were unable to provide ethnic specific estimates due to low numbers. Lower likelihoods of FH coding (OR, 95%CI) were seen in non-native English speakers (0.66, 0.53-0.81), most deprived income quintile (0.68, 0.52-0.88), smokers (0.68,0.55-0.85), hypertension (0.62, 0.52-0.74), chronic kidney disease (0.64, 0.41-0.99), obesity (0.80, 0.67-0.95), diabetes (0.31, 0.25-0.39) and CVD (0.47, 0.36-0.63). 20% of FH coded patients were not prescribed lipid-lowering medications, p < 0.001. CONCLUSIONS Inequalities in diagnostic coding of FH patients exist. Lower likelihoods of diagnosed FH were seen in Black African, Black Caribbean and Indian ethnic groups, in contrast to higher diagnoses in White and Other Asian ethnic groups. Hypercholesterolaemia requiring statin therapy was associated with FH diagnosis, however, the presence of cardiovascular disease (CVD) risk factors lowered the diagnosis rate for FH.
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Affiliation(s)
- Mariam Molokhia
- School of Life Course and Population Sciences, United Kingdom; King's College London, United Kingdom.
| | - Anthony S Wierzbicki
- Department of Metabolic Medicine/Chemical Pathology, United Kingdom; Guy's & St Thomas' Hospitals, United Kingdom
| | - Helen Williams
- Consultant Pharmacist for CVD, Medicines Use and Safety Team & South East London ICS, United Kingdom
| | - Arushan Kirubakaran
- School of Life Course and Population Sciences, United Kingdom; King's College London, United Kingdom
| | | | - Stevo Durbaba
- School of Life Course and Population Sciences, United Kingdom; King's College London, United Kingdom
| | | | - Nadeem Qureshi
- Department of Primary Care, University of Nottingham, United Kingdom
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3
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Cupido AJ, Hof MH, de Boer LM, Huijgen R, Stroes ESG, Kastelein JJP, Hovingh GK, Hutten BA. Adherence to statin treatment in patients with familial hypercholesterolemia: A dynamic prediction model. J Clin Lipidol 2023; 17:236-243. [PMID: 36697324 DOI: 10.1016/j.jacl.2022.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 11/12/2022] [Accepted: 12/11/2022] [Indexed: 12/25/2022]
Abstract
BACKGROUND Statins are the primary therapy in patient with heterozygous familial hypercholesterolemia (HeFH). Non-adherence to statin therapy is associated with increased cardiovascular risk. OBJECTIVE We constructed a dynamic prediction model to predict statin adherence for an individual HeFH patient for each upcoming statin prescription. METHODS All patients with HeFH, identified by the Dutch Familial Hypercholesterolemia screening program between 1994 and 2014, were eligible. National pharmacy records dated between 1995 and 2015 were linked. We developed a dynamic prediction model that estimates the probability of statin adherence (defined as proportion of days covered >80%) for an upcoming prescription using a mixed effect logistic regression model. Static and dynamic patient-specific predictors, as well as data on a patient's adherence to past prescriptions were included. The model with the lowest AIC (Akaike Information Criterion) value was selected. RESULTS We included 1094 patients for whom 21,171 times a statin was prescribed. Based on the model with the lowest AIC, age at HeFH diagnosis, history of cardiovascular event, time since HeFH diagnosis and duration of the next statin prescription contributed to an increased adherence, while adherence decreased with higher untreated LDL-C levels and higher intensity of statin therapy. The dynamic prediction model showed an area under the curve of 0.63 at HeFH diagnosis, which increased to 0.85 after six years of treatment. CONCLUSION This dynamic prediction model enables clinicians to identify HeFH patients at risk for non-adherence during statin treatment. These patients can be offered timely interventions to improve adherence and further reduce cardiovascular risk.
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Affiliation(s)
- Arjen J Cupido
- Department of Vascular Medicine, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, location Academic Medical Center, Amsterdam, the Netherlands (Dr Cupido), (Drs Stroes, Kastelein, Hovingh); Department of Medicine, Division of Cardiology, University of California, Los Angeles, Los Angeles, CA, USA (Dr Cupido); Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands (Dr Cupido).
| | - Michel H Hof
- Department of Epidemiology and Data Science, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, location Academic Medical Center, Amsterdam, the Netherlands (Drs Hof, de Boer, Hutten)
| | - Lotte M de Boer
- Department of Epidemiology and Data Science, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, location Academic Medical Center, Amsterdam, the Netherlands (Drs Hof, de Boer, Hutten)
| | - Roeland Huijgen
- Department of Internal Medicine, Spaarne Gasthuis, Haarlem, the Netherlands (Dr Huijgen)
| | - Erik S G Stroes
- Department of Vascular Medicine, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, location Academic Medical Center, Amsterdam, the Netherlands (Dr Cupido), (Drs Stroes, Kastelein, Hovingh)
| | - John J P Kastelein
- Department of Vascular Medicine, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, location Academic Medical Center, Amsterdam, the Netherlands (Dr Cupido), (Drs Stroes, Kastelein, Hovingh)
| | - G Kees Hovingh
- Department of Vascular Medicine, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, location Academic Medical Center, Amsterdam, the Netherlands (Dr Cupido), (Drs Stroes, Kastelein, Hovingh)
| | - Barbara A Hutten
- Department of Epidemiology and Data Science, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, location Academic Medical Center, Amsterdam, the Netherlands (Drs Hof, de Boer, Hutten)
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4
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Akioyamen LE, Chu A, Genest J, Lee DS, Abdel-Qadir H, Jackevicius CA, Lawler PR, Sud M, Udell JA, Wijeysundera HC, Ko DT. Prevalence and Treatment of Familial Hypercholesterolemia and Severe Hypercholesterolemia in Older Adults in Ontario, Canada. CJC Open 2022; 4:739-747. [PMID: 36148251 PMCID: PMC9486867 DOI: 10.1016/j.cjco.2022.05.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 05/17/2022] [Indexed: 11/25/2022] Open
Abstract
Background A simplified Canadian definition was recently developed to enable identification of individuals with familial hypercholesterolemia (FH) and severe hypercholesterolemia in the general population. Our objective was to use a modified version of this new definition to assess contemporary disease prevalence, treatment patterns, and low-density lipoprotein cholesterol (LDL-C) control in Ontario, Canada. Methods We identified individuals aged 66 to 105 years who were alive as of January 1, 2011, using the Cardiovascular Health in Ambulatory Care Research Team (CANHEART) database, which was created by linking 19 population-based health databases in Ontario. Hypercholesterolemia was identified using LDL-C values. Cholesterol reduction and lipid-lowering treatment were assessed at time of diagnosis and after at least 2 and 5 years’ follow-up. Results Among 922,464 individuals, 2440 (0.26%) met criteria for definite or probable FH, and 72,893 (7.90%) for severe hypercholesterolemia. At diagnosis, mean LDL-C concentration was 9.52 mmol/L for those with definite FH, 5.83 mmol/L for those with probable FH, 5.73 mmol/L for those with severe hypercholesterolemia, and 3.33 mmol/L for all other individuals. After > 5 years, LDL-C concentration remained elevated at 3.58 mmol/L for those with definite FH, 2.72 mmol/L for those with probable FH, and 2.93 mmol/L for those with severe hypercholesteremia. Use of statin therapy was initially high (83% of those with definite FH, 78% of those with probable FH, 62% of those with severe hypercholesterolemia); however, fewer patients remained on statins at follow-up at > 5 years (62% of those with definite FH, 67% of those with probable FH, 58% of those with severe hypercholesterolemia). Conclusions Among older Ontarians, we estimated that 1 in 378 individuals had FH, and 1 in 13 had severe hypercholesterolemia. Despite being at substantially increased cardiovascular risk, these patients acheived suboptimal LDL-C level control and fewer were on medical therapy at follow-up.
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5
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Griffith N, Bigham G, Sajja A, Gluckman TJ. Leveraging Healthcare System Data to Identify High-Risk Dyslipidemia Patients. Curr Cardiol Rep 2022; 24:1387-1396. [PMID: 35994196 DOI: 10.1007/s11886-022-01767-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/03/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE OF REVIEW While randomized controlled trials have historically served as the gold standard for shaping guideline recommendations, real-world data are increasingly being used to inform clinical decision-making. We describe ways in which healthcare systems are generating real-world data related to dyslipidemia and how these data are being leveraged to improve patient care. RECENT FINDINGS The electronic medical record has emerged as a major source of clinical data, which alongside claims and pharmacy dispending data is enabling healthcare systems the ability to identify care gaps (underdiagnosis and undertreatment) in patients with dyslipidemia. Availability of this data also allows healthcare systems the ability to test and deliver interventions at the point-of-care. Real-world data possess great potential as a complement to randomized controlled trials. Healthcare systems are uniquely positioned to not only define care gaps and areas of opportunity, but to also to leverage tools (e.g., clinical decision support, case identification) aimed at closing them.
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Affiliation(s)
- Nayrana Griffith
- Department of Internal Medicine, Medstar Georgetown University Hospital, Washington, DC, USA.
| | - Grace Bigham
- Department of Internal Medicine, Medstar Georgetown University Hospital, Washington, DC, USA
| | - Aparna Sajja
- Division of Cardiology, Medstar Georgetown University Hospital-Washington Hospital Center, Washington, DC, USA
| | - Ty J Gluckman
- Center for Cardiovascular Analytics, Research and Data Science (CARDS), Providence Heart Institute, Providence Research Network, Portland, OR, USA
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6
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Ray KK, Haq I, Bilitou A, Aguiar C, Arca M, Connolly DL, Eriksson M, Ferrières J, Hildebrandt P, Laufs U, Mostaza JM, Nanchen D, Rietzschel E, Strandberg T, Toplak H, Visseren FL, Catapano AL. Evaluation of contemporary treatment of high- and very high-risk patients for the prevention of cardiovascular events in Europe - Methodology and rationale for the multinational observational SANTORINI study. ATHEROSCLEROSIS PLUS 2021; 43:24-30. [PMID: 36644508 PMCID: PMC9833224 DOI: 10.1016/j.athplu.2021.08.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 08/12/2021] [Indexed: 01/18/2023]
Abstract
Background and aims Clinical practice before 2019 suggests a substantial proportion of high and very high CV risk patients taking lipid-lowering therapy (LLT) would not achieve the new LDL-C goals recommended in the 2019 ESC/EAS guidelines (<70 and < 55 mg/dL, respectively). To what extent practice has changed since the last ESC/EAS guideline update is uncertain, and quantification of remaining implementation gaps may inform health policy. Methods The SANTORINI study is a multinational, multicentre, prospective, observational, non-interventional study documenting patient data at baseline (enrolment) and at 12-month follow-up. The study recruited 9606 patients ≥18 years of age with high and very high CV risk (as assigned by the investigators) requiring LLT, with no formal patient or comparator groups. The primary objective is to document, in the real-world setting, the effectiveness of current treatment modalities in managing plasma levels of LDL-C in high- and very high-risk patients requiring LLT. Key secondary effectiveness objectives include documenting the relationship between LLT and levels of other plasma lipids, high-sensitivity C-reactive protein (hsCRP) and overall predicted CV risk over one year. Health economics and patient-relevant parameters will also be assessed. Conclusions The SANTORINI study, which commenced after the 2019 ESC/EAS guidelines were published, is ideally placed to provide important contemporary insights into the evolving management of LLT in Europe and highlight factors contributing to the low levels of LDL-C goal achievement among high and very high CV risk patients. It is hoped the findings will help enhance patient management and reduce the burden of ASCVD in Europe.
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Affiliation(s)
- Kausik K. Ray
- Imperial Centre for Cardiovascular Disease Prevention, Department of Primary Care and Public Health, Imperial College London, London, UK
- Corresponding author. Imperial Centre for Cardiovascular Disease Prevention, Department of Primary Care and Public Health, Imperial College London, Level 2, Faculty Building, South Kensington Campus, London, SW7 2AZ, UK.
| | - Inaam Haq
- Daiichi Sankyo Europe, Munich, Germany
| | | | | | - Marcello Arca
- Department of Translational and Precision Medicine, Sapienza Università di Roma, Rome, Italy
| | - Derek L. Connolly
- Sandwell and West Birmingham NHS Trust, Birmingham City Hospital, Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK
| | | | - Jean Ferrières
- Department of Cardiology and INSERM UMR 1295, Toulouse Rangueil University Hospital, Toulouse University School of Medicine, Toulouse, France
| | | | | | | | - David Nanchen
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | | | - Timo Strandberg
- University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- University of Oulu, Center for Life Course Health Research, Oulu, Finland
| | - Hermann Toplak
- Department of Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, Graz, Austria
| | - Frank L.J. Visseren
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Alberico L. Catapano
- Department of Pharmacological and Biomolecular Sciences, University of Milan and Multimedica IRCCS, Milan, Italy
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7
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Shemesh E, Azaiza A, Zafrir B. Treatment gaps and mortality among patients with familial hypercholesterolemia and cardiovascular disease: a 4-year follow-up study. Eur J Prev Cardiol 2021; 28:e21-e22. [PMID: 32539452 DOI: 10.1177/2047487320932329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/03/2023]
Affiliation(s)
- Elad Shemesh
- Department of Cardiology, Lady Davis Carmel Medical Center, Israel
| | - Ameer Azaiza
- Faculty of Medicine, Technion, Israel Institute of Medicine, Israel
| | - Barak Zafrir
- Department of Cardiology, Lady Davis Carmel Medical Center, Israel
- Faculty of Medicine, Technion, Israel Institute of Medicine, Israel
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8
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Polychronopoulos G, Tzavelas M, Tziomalos K. Heterozygous familial hypercholesterolemia: prevalence and control rates. Expert Rev Endocrinol Metab 2021; 16:175-179. [PMID: 33993819 DOI: 10.1080/17446651.2021.1929175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 05/10/2021] [Indexed: 10/21/2022]
Abstract
Introduction: Heterozygous familial hypercholesterolemia (heFH) is associated with a very high risk for cardiovascular events. Treatment with potent statins substantially reduces cardiovascular morbidity in these patients. Moreover, combination therapy with statins plus ezetimibe and/or proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors facilitates achievement of low-density lipoprotein cholesterol (LDL-C) targets in patients with heFH. However, heFH remains underdiagnosed and undertreated worldwide.Areas covered: In this review, we summarize current evidence on the prevalence and control rates of heFH. Accumulating data suggest that heFH is one of the most common hereditary metabolic disorders, affecting approximately 1 in every 300 individuals. However, only a small minority of patients with heFH achieve LDL-C targets, even in high-income countries and in subjects followed-up in specialized lipid clinics.Expert opinion: Given the underdiagnosis of heFH using cascade and opportunistic screening, wider, population-based screening strategies should be evaluated for their feasibility and cost-effectiveness if we aspire to timely diagnosis and therefore prevention of cardiovascular morbidity and mortality in this very high risk population. Overcoming inertia in uptitrating statin dose, adding ezetimibe and/or PCSK9 inhibitors along with more generous reimbursement for lipid-lowering agents in patients with heFH are essential for improving goal attainment rates.
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Affiliation(s)
- Georgios Polychronopoulos
- First Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA Hospital, Thessaloniki, Greece
| | - Marios Tzavelas
- First Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA Hospital, Thessaloniki, Greece
| | - Konstantinos Tziomalos
- First Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA Hospital, Thessaloniki, Greece
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9
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Hu P, Dharmayat KI, Stevens CA, Sharabiani MT, Jones RS, Watts GF, Genest J, Ray KK, Vallejo-Vaz AJ. Prevalence of Familial Hypercholesterolemia Among the General Population and Patients With Atherosclerotic Cardiovascular Disease. Circulation 2020; 141:1742-1759. [DOI: 10.1161/circulationaha.119.044795] [Citation(s) in RCA: 155] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background:
Contemporary studies suggest that familial hypercholesterolemia (FH) is more frequent than previously reported and increasingly recognized as affecting individuals of all ethnicities and across many regions of the world. Precise estimation of its global prevalence and prevalence across World Health Organization regions is needed to inform policies aiming at early detection and atherosclerotic cardiovascular disease (ASCVD) prevention. The present study aims to provide a comprehensive assessment and more reliable estimation of the prevalence of FH than hitherto possible in the general population (GP) and among patients with ASCVD.
Methods:
We performed a systematic review and meta-analysis including studies reporting on the prevalence of heterozygous FH in the GP or among those with ASCVD. Studies reporting gene founder effects and focused on homozygous FH were excluded. The search was conducted through Medline, Embase, Cochrane, and Global Health, without time or language restrictions. A random-effects model was applied to estimate the overall pooled prevalence of FH in the general and ASCVD populations separately and by World Health Organization regions.
Results:
From 3225 articles, 42 studies from the GP and 20 from populations with ASCVD were eligible, reporting on 7 297 363 individuals/24 636 cases of FH and 48 158 patients/2827 cases of FH, respectively. More than 60% of the studies were from Europe. Use of the Dutch Lipid Clinic Network criteria was the commonest diagnostic method. Within the GP, the overall pooled prevalence of FH was 1:311 (95% CI, 1:250–1:397; similar between children [1:364] and adults [1:303],
P
=0.60; across World Health Organization regions where data were available,
P
=0.29; and between population-based and electronic health records–based studies,
P
=0.82). Studies with ≤10 000 participants reported a higher prevalence (1:200–289) compared with larger cohorts (1:365–407;
P
<0.001). The pooled prevalence among those with ASCVD was 18-fold higher than in the GP (1:17 [95% CI, 1:12–1:24]), driven mainly by coronary artery disease (1:16; [95% CI, 1:12–1:23]). Between-study heterogeneity was large (
I
2
>95%). Tests assessing bias were nonsignificant (
P
>0.3).
Conclusions:
With an overall prevalence of 1:311, FH is among the commonest genetic disorders in the GP, similarly present across different regions of the world, and is more frequent among those with ASCVD. The present results support the advocacy for the institution of public health policies, including screening programs, to identify FH early and to prevent its global burden.
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Affiliation(s)
- Pengwei Hu
- Imperial Center for Cardiovascular Disease Prevention (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V.), Imperial College London, UK
- Department of Primary Care and Public Health (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V., M.T.A.S.), Imperial College London, UK
- Department of Health Service, Logistics University of People’s Armed Police Force, Tianjin, China (P.H.)
| | - Kanika I. Dharmayat
- Imperial Center for Cardiovascular Disease Prevention (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V.), Imperial College London, UK
- Department of Primary Care and Public Health (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V., M.T.A.S.), Imperial College London, UK
| | - Christophe A.T. Stevens
- Imperial Center for Cardiovascular Disease Prevention (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V.), Imperial College London, UK
- Department of Primary Care and Public Health (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V., M.T.A.S.), Imperial College London, UK
| | - Mansour T.A. Sharabiani
- Department of Primary Care and Public Health (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V., M.T.A.S.), Imperial College London, UK
| | - Rebecca S. Jones
- School of Public Health, and Charing Cross Campus Library (R.S.J.), Imperial College London, UK
| | - Gerald F. Watts
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth (G.F.W.)
- Lipid Disorders Clinic, Department of Cardiology, Royal Perth Hospital, Australia (G.F.W.)
| | - Jacques Genest
- McGill University Health Center, Montreal, QC, Canada (J.G.)
| | - Kausik K. Ray
- Imperial Center for Cardiovascular Disease Prevention (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V.), Imperial College London, UK
- Department of Primary Care and Public Health (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V., M.T.A.S.), Imperial College London, UK
| | - Antonio J. Vallejo-Vaz
- Imperial Center for Cardiovascular Disease Prevention (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V.), Imperial College London, UK
- Department of Primary Care and Public Health (P.H., K.I.D., C.A.T.S., K.K.R., A.J.V.-V., M.T.A.S.), Imperial College London, UK
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10
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Patel P, Hu Y, Kolinovsky A, Geng Z, Ruhl J, Krishnamurthy S, deRichemond C, Khan A, Kirchner HL, Metpally R, Jones LK, Sturm AC, Carey D, Snyder S, Williams MS, Mehra VC. Hidden Burden of Electronic Health Record-Identified Familial Hypercholesterolemia: Clinical Outcomes and Cost of Medical Care. J Am Heart Assoc 2019; 8:e011822. [PMID: 31256702 PMCID: PMC6662375 DOI: 10.1161/jaha.118.011822] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Background Familial hypercholesterolemia (FH), is a historically underdiagnosed, undertreated, high‐risk condition that is associated with a high burden of cardiovascular morbidity and mortality. In this study, we use a population‐based approach using electronic health record (EHR)‐based algorithms to identify FH. We report the major adverse cardiovascular events, mortality, and cost of medical care associated with this diagnosis. Methods and Results In our 1.18 million EHR‐eligible cohort, International Classification of Diseases, Ninth Revision (ICD‐9) code‐defined hyperlipidemia was categorized into FH and non‐FH groups using an EHR algorithm designed using the modified Dutch Lipid Clinic Network criteria. Major adverse cardiovascular events, mortality, and cost of medical care were analyzed. A priori associated variables/confounders were used for multivariate analyses using binary logistic regression and linear regression with propensity score–based weighted methods as appropriate. EHR FH was identified in 32 613 individuals, which was 2.7% of the 1.18 million EHR cohort and 13.7% of 237 903 patients with hyperlipidemia. FH had higher rates of myocardial infarction (14.77% versus 8.33%; P<0.0001), heart failure (11.82% versus 10.50%; P<0.0001), and, after adjusting for traditional risk factors, significantly correlated to a composite major adverse cardiovascular events variable (odds ratio, 4.02; 95% CI, 3.88–4.16; P<0.0001), mortality (odds ratio, 1.20; CI, 1.15–1.26; P<0.0001), and higher total revenue per‐year (incidence rate ratio, 1.30; 95% CI, 1.28–1.33; P<0.0001). Conclusions EHR‐based algorithms discovered a disproportionately high prevalence of FH in our medical cohort, which was associated with worse outcomes and higher costs of medical care. This data‐driven approach allows for a more precise method to identify traditionally high‐risk groups within large populations allowing for targeted prevention and therapeutic strategies.
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Affiliation(s)
- Prashant Patel
- 1 Department of Cardiology Geisinger Clinic and Medical Center Danville PA
| | - Yirui Hu
- 2 Department of Biomedical and Translational Informatics Geisinger Clinic Danville PA
| | - Amy Kolinovsky
- 2 Department of Biomedical and Translational Informatics Geisinger Clinic Danville PA
| | - Zhi Geng
- 3 Division of Health Economics Geisinger Clinic Danville PA
| | - Jeffrey Ruhl
- 1 Department of Cardiology Geisinger Clinic and Medical Center Danville PA
| | | | | | - Ayesha Khan
- 1 Department of Cardiology Geisinger Clinic and Medical Center Danville PA
| | - H Lester Kirchner
- 2 Department of Biomedical and Translational Informatics Geisinger Clinic Danville PA
| | | | - Laney K Jones
- 6 Center for Pharmacy Innovation and Outcomes Geisinger Danville PA
| | - Amy C Sturm
- 5 Genomic Medicine Institute Geisinger Danville PA
| | - David Carey
- 4 Weis Center for Research Geisinger Clinic Danville PA
| | - Susan Snyder
- 3 Division of Health Economics Geisinger Clinic Danville PA
| | | | - Vishal C Mehra
- 1 Department of Cardiology Geisinger Clinic and Medical Center Danville PA
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11
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Ski CF, Thompson DR, Fitzsimons D, King-Shier K. Why is ethnicity important in cardiovascular care? Eur J Cardiovasc Nurs 2019; 17:294-296. [PMID: 29609481 DOI: 10.1177/1474515117741892] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Chantal F Ski
- 1 Department of Psychiatry, University of Melbourne, Australia.,2 School of Nursing and Midwifery, Queen's University Belfast, UK
| | - David R Thompson
- 1 Department of Psychiatry, University of Melbourne, Australia.,2 School of Nursing and Midwifery, Queen's University Belfast, UK
| | - Donna Fitzsimons
- 2 School of Nursing and Midwifery, Queen's University Belfast, UK
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Clinical Management of High and Very High Risk Patients with Hyperlipidaemia in Central and Eastern Europe: An Observational Study. Adv Ther 2019; 36:608-620. [PMID: 30758746 PMCID: PMC6824344 DOI: 10.1007/s12325-019-0879-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Indexed: 01/14/2023]
Abstract
INTRODUCTION A retrospective/prospective observational study was conducted to explore the current management of hyperlipidaemia in high-risk (HR) and very high risk (VHR) patients in central/eastern Europe and Israel. METHODS The study enrolled adult patients who were receiving lipid-lowering therapy and attending a specialist (cardiologist/diabetologist/lipidologist) or internist for a routine visit at 57 sites (including academic/specialist/internal medicine centres) across Bulgaria, Croatia, Czech Republic, Israel, Poland, Romania and Slovakia. Data were collected from medical records, for the 12 months before enrolment, with/without ≤ 6 months' additional prospective follow-up. RESULTS A total of 1244 patients, mean (SD) age 63.3 (11.3) years were included (307 with familial hypercholesterolaemia (FH), 943 secondary prevention patients). Almost all patients (98.1%) were receiving statins (76.7% monotherapy/21.4% combined therapy), with 53.1% receiving high-intensity statin therapy: 127 patients (10.2%) had adverse events attributed to statin intolerance. Mean (SD) low density lipoprotein cholesterol (LDL-C) levels were 3.3 (1.7) mmol/L at the first, and 2.7 (1.3) mmol/L at the last, visit of the retrospective phase of observation, with little change during the prospective phase. Less than one-quarter (23.8%; 95% CI 17.29-31.45%) of HR patients and less than half (42.0%; 39.05-44.98%) of VHR patients achieved their risk-based LDL-C targets of < 2.5 and < 1.8 mmol/L, respectively. Less than 15% of FH patients reached these targets (10.9% (5.6-18.7%) of HR and 12.1% (8.0-17.4%) of VHR patients). The revised 2016 ESC/EAS target for HR patients (2.6 mmol/L) was met by 28.5% (21.44-36.38%) of HR patients overall. Almost one-half of patients (42.1%) experienced one or more cardiovascular events during observation. CONCLUSION Our findings confirm that, despite widespread statin use, a substantial proportion of patients treated for hyperlipidaemia in central/eastern Europe and Israel, particularly those with FH, do not reach recommended LDL-C targets, thus remaining at risk of cardiovascular events. FUNDING Amgen (Europe) GmbH.
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13
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Zafrir B, Saliba W, Jaffe R, Sliman H, Flugelman MY, Sharoni E. Attainment of lipid goals and long-term mortality after coronary-artery bypass surgery. Eur J Prev Cardiol 2018; 26:401-408. [DOI: 10.1177/2047487318812962] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Introduction There is paucity of data regarding lipid goal attainment after coronary-artery bypass graft surgery (CABG) and its impact on adverse outcomes. We aimed to investigate the attainment of lipid goals and the association between plasma lipid levels achieved after CABG and mortality. Methods Retrospective analysis of 1230 patients undergoing CABG. Mortality was examined in relation to most-recent lipid levels attained, categorized by clinically-relevant thresholds, and according to the improvement from pre-operative levels. Results Low-density lipoprotein cholesterol (LDL-C) < 70 mg/dL was attained by 44% of the patients. After multivariable adjustment, the hazard ratio for long-term mortality was 1.33 (95% confidence interval, 1.05–1.67) and 1.97 (1.55–2.50) for patients attaining LDL-C 70–100 mg/dL and >100 mg/dL, respectively, compared with LDL-C < 70 mg/dL. The hazard ratio was 1.42 (1.07–1.88) and 1.73 (1.33–2.23) for patients attaining high-density lipoprotein cholesterol (HDL-C) 40–50 mg/dL and <40 mg/dL, respectively, compared with HDL-C > 50 mg/dL; and 1.11 (0.85–1.45) and 4.28 (1.89–9.68) for patients with triglycerides 200–500 mg/dL and >500 mg/dL compared with triglycerides <200 mg/dL. A progressive stepwise association was seen between the cumulative status of the lipid measures achieved and long-term mortality, with the lowest risk observed in those with optimal level of all lipid measures ( p < 0.0001). Improvement in any of the lipid measures from pre-operative to latest documented levels was associated with reduced mortality. Conclusions Lack of attainment of optimal levels of routine lipid measures after CABG was common and associated both independently and additively with long-term mortality, emphasizing the importance of addressing plasma lipid profile as both a risk marker and a treatment target after CABG.
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Affiliation(s)
- Barak Zafrir
- Department of Cardiology, Lady Davis Carmel Medical Center and Clalit Health Services, Haifa, Israel
- Faculty of Medicine, Technion, Israel institute of Medicine, Haifa, Israel
| | - Walid Saliba
- Faculty of Medicine, Technion, Israel institute of Medicine, Haifa, Israel
- Community Medicine and Epidemiology, Lady Davis Carmel Medical Center and Clalit Health Services, Haifa, Israel
| | - Ronen Jaffe
- Department of Cardiology, Lady Davis Carmel Medical Center and Clalit Health Services, Haifa, Israel
- Faculty of Medicine, Technion, Israel institute of Medicine, Haifa, Israel
| | - Hussein Sliman
- Department of Cardiology, Lady Davis Carmel Medical Center and Clalit Health Services, Haifa, Israel
| | - Moshe Y Flugelman
- Department of Cardiology, Lady Davis Carmel Medical Center and Clalit Health Services, Haifa, Israel
- Faculty of Medicine, Technion, Israel institute of Medicine, Haifa, Israel
| | - Erez Sharoni
- Faculty of Medicine, Technion, Israel institute of Medicine, Haifa, Israel
- Cardiothoracic Surgery, Lady Davis Carmel Medical Center and Clalit Health Services, Haifa, Israel
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14
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Vallejo-Vaz AJ, Ray KK. Epidemiology of familial hypercholesterolaemia: Community and clinical. Atherosclerosis 2018; 277:289-297. [DOI: 10.1016/j.atherosclerosis.2018.06.855] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2018] [Revised: 06/06/2018] [Accepted: 06/14/2018] [Indexed: 01/10/2023]
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15
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Vallejo-Vaz AJ, De Marco M, Stevens CAT, Akram A, Freiberger T, Hovingh GK, Kastelein JJP, Mata P, Raal FJ, Santos RD, Soran H, Watts GF, Abifadel M, Aguilar-Salinas CA, Al-Khnifsawi M, AlKindi FA, Alnouri F, Alonso R, Al-Rasadi K, Al-Sarraf A, Ashavaid TF, Binder CJ, Bogsrud MP, Bourbon M, Bruckert E, Chlebus K, Corral P, Descamps O, Durst R, Ezhov M, Fras Z, Genest J, Groselj U, Harada-Shiba M, Kayikcioglu M, Lalic K, Lam CSP, Latkovskis G, Laufs U, Liberopoulos E, Lin J, Maher V, Majano N, Marais AD, März W, Mirrakhimov E, Miserez AR, Mitchenko O, Nawawi HM, Nordestgaard BG, Paragh G, Petrulioniene Z, Pojskic B, Postadzhiyan A, Reda A, Reiner Ž, Sadoh WE, Sahebkar A, Shehab A, Shek AB, Stoll M, Su TC, Subramaniam T, Susekov AV, Symeonides P, Tilney M, Tomlinson B, Truong TH, Tselepis AD, Tybjærg-Hansen A, Vázquez-Cárdenas A, Viigimaa M, Vohnout B, Widén E, Yamashita S, Banach M, Gaita D, Jiang L, Nilsson L, Santos LE, Schunkert H, Tokgözoğlu L, Car J, Catapano AL, Ray KK. Overview of the current status of familial hypercholesterolaemia care in over 60 countries - The EAS Familial Hypercholesterolaemia Studies Collaboration (FHSC). Atherosclerosis 2018; 277:234-255. [PMID: 30270054 DOI: 10.1016/j.atherosclerosis.2018.08.051] [Citation(s) in RCA: 149] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Revised: 08/30/2018] [Accepted: 08/31/2018] [Indexed: 01/07/2023]
Abstract
BACKGROUND AND AIMS Management of familial hypercholesterolaemia (FH) may vary across different settings due to factors related to population characteristics, practice, resources and/or policies. We conducted a survey among the worldwide network of EAS FHSC Lead Investigators to provide an overview of FH status in different countries. METHODS Lead Investigators from countries formally involved in the EAS FHSC by mid-May 2018 were invited to provide a brief report on FH status in their countries, including available information, programmes, initiatives, and management. RESULTS 63 countries provided reports. Data on FH prevalence are lacking in most countries. Where available, data tend to align with recent estimates, suggesting a higher frequency than that traditionally considered. Low rates of FH detection are reported across all regions. National registries and education programmes to improve FH awareness/knowledge are a recognised priority, but funding is often lacking. In most countries, diagnosis primarily relies on the Dutch Lipid Clinics Network criteria. Although available in many countries, genetic testing is not widely implemented (frequent cost issues). There are only a few national official government programmes for FH. Under-treatment is an issue. FH therapy is not universally reimbursed. PCSK9-inhibitors are available in ∼2/3 countries. Lipoprotein-apheresis is offered in ∼60% countries, although access is limited. CONCLUSIONS FH is a recognised public health concern. Management varies widely across countries, with overall suboptimal identification and under-treatment. Efforts and initiatives to improve FH knowledge and management are underway, including development of national registries, but support, particularly from health authorities, and better funding are greatly needed.
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Affiliation(s)
- Antonio J Vallejo-Vaz
- Imperial Centre for Cardiovascular Disease Prevention (ICCP), Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.
| | - Martina De Marco
- Imperial Centre for Cardiovascular Disease Prevention (ICCP), Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom.
| | - Christophe A T Stevens
- Imperial Centre for Cardiovascular Disease Prevention (ICCP), Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom
| | | | - Tomas Freiberger
- Centre for Cardiovascular Surgery and Transplantation, Brno, Czech Republic; Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - G Kees Hovingh
- Department of Vascular Medicine, Academic Medical Centre, Amsterdam, the Netherlands
| | - John J P Kastelein
- Department of Vascular Medicine, Academic Medical Centre, Amsterdam, the Netherlands
| | - Pedro Mata
- Fundación Hipercolesterolemia Familiar, Madrid, Spain
| | - Frederick J Raal
- Division of Endocrinology & Metabolism, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Raul D Santos
- Heart Institute (InCor), University of Sao Paulo Medical School Hospital, Sao Paulo, Brazil; Hospital Israelita Albert Einstein, Sao Paulo, Brazil
| | - Handrean Soran
- University Department of Medicine, Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom
| | - Gerald F Watts
- School of Medicine, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Australia; Lipid Disorders Clinic, Department of Cardiology, Royal Perth Hospital, Perth, Australia; FH Australasia Network (FHAN), Australia
| | - Marianne Abifadel
- Laboratory of Biochemistry and Molecular Therapeutics, Faculty of Pharmacy, Pôle Technologie-Santé, Saint Joseph University, Beirut, Lebanon
| | | | - Mutaz Al-Khnifsawi
- Al-Qadisiyah University, Faculty of Medicine, Department of Internal Medicine, Diwaniya City, Iraq
| | | | - Fahad Alnouri
- Cardiovascular Prevention Unit, Prince Sultan Cardiac Centre Riyadh, Riyadh, Saudi Arabia
| | | | | | - Ahmad Al-Sarraf
- Laboratory Department, Kuwait Cancer Control Centre, Kuwait City, Kuwait
| | - Tester F Ashavaid
- P. D Hinduja National Hospital and Medical Research Centre, Mumbai, India
| | - Christoph J Binder
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - Martin P Bogsrud
- Unit for Cardiac and Cardiovascular Genetics, Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; Norwegian National Advisory Unit on Familial Hypercholesterolemia, Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - 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; Faculty of Sciences, Biosystems & Integrative Sciences Institute (BioISI), University of Lisboa, Lisboa, Portugal
| | - Eric Bruckert
- Department of Endocrinology, Institut E3M et IHU Cardiométabolique (ICAN), Hôpital Pitié Salpêtrière, Paris, France
| | - Krzysztof Chlebus
- First Department of Cardiology, Medical University of Gdansk, Gdańsk, Poland; Clinical Centre of Cardiology, University Clinical Centre, Gdańsk, Poland
| | - Pablo Corral
- Pharmacology Department, School of Medicine, FASTA University, Mar del Plata, Argentina
| | | | - Ronen Durst
- Cardiology Department and Centre for Treatment and Prevention of Atherosclerosis, Hadassah Hebrew University Medical Centre, Jerusalem, Israel
| | - Marat Ezhov
- National Cardiology Research Centre, Ministry of Health of the Russian Federation, Russia
| | - Zlatko Fras
- University Medical Centre Ljubljana, Division of Medicine, Preventive Cardiology Unit, Ljubljana, Slovenia; Medical Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Jacques Genest
- Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Urh Groselj
- University Medical Centre Ljubljana, University Children's Hospital, Department of Endocrinology, Diabetes and Metabolism, Ljubljana, Slovenia
| | - Mariko Harada-Shiba
- National Cerebral and Cardiovascular Centre Research Institute, Suita, Osaka, Japan
| | - Meral Kayikcioglu
- Ege University Medical School, Department of Cardiology, Izmir, Turkey
| | - Katarina Lalic
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia; Clinic for Endocrinology, Diabetes and Metabolic Diseases, Clinical Centre of Serbia, Belgrade, Serbia
| | - Carolyn S P Lam
- National Heart Centre, Singapore; Duke-NUS Medical School, Singapore
| | - Gustavs Latkovskis
- Research Institute of Cardiology and Regenerative Medicine, Faculty of Medicine, University of Latvia, Pauls Stradins Clinical University Hospital, Riga, Latvia
| | - Ulrich Laufs
- Klinik und Poliklinikfür Kardiologie, Universitätsklinikum Leipzig, Germany
| | | | - Jie Lin
- Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Vincent Maher
- Advanced Lipid Management and Research (ALMAR) Centre, Ireland
| | | | - A David Marais
- University of Cape Town and National Health Laboratory Service, Cape Town, South Africa
| | - Winfried März
- Medizinische Klinik V (Nephrologie, Hypertensiologie, Rheumatologie, Endokrinologie, Diabetologie), Medizinische Fakultät Mannheim der Universität Heidelberg, Mannheim, Germany; Klinisches Institutfür Medizinische und Chemische Labordiagnostik, Medizinische Universität Graz, Graz, Austria; Synlab Akademie, Synlab Holding Deutschland GmbH, Mannheim und Augsburg, Germany; D-A-CH-Gesellschaft Prävention von Herz-Kreislauf-Erkrankungen e.V., Hamburg, Germany
| | - Erkin Mirrakhimov
- Kyrgyz State Medical Academy, Centre of Cardiology and Internal Diseases, Biskek, Kyrgizstan
| | - André R Miserez
- Diagene Research Institute, Swiss FH Center, Reinach, Switzerland; Faculty of Medicine, University of Basel, Basel, Switzerland
| | - Olena Mitchenko
- Dyslipidemia Department, State Institution National Scientific Centre "The M.D. Strazhesko Institute of Cardiology National Academy of Medical Sciences of Ukraine", Kiev, Ukraine
| | - Hapizah M Nawawi
- Institute of Pathology, Laboratory and Forensic Medicine (I-PPerForM) and Faculty of Medicine Universiti Teknologi MARA, Jalan Hospital, Sungai Buloh, Selangor, Malaysia
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry and the Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - György Paragh
- Department of Internal Medicine, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Zaneta Petrulioniene
- Vilnius University, Faculty of Medicine, Vilnius, Lithuania; Clinic of Cardiac and Vascular Diseases, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | | | - Arman Postadzhiyan
- Bulgarian Society of Cardiology, Medical University of Sofia, Sofia, Bulgaria
| | - Ashraf Reda
- Cardiology, Menofia University, Egypt; Egyptian Association of Vernacular Biology and Atherosclerosis (EAVA), Egypt
| | - Željko Reiner
- Department of Internal Medicine, Division of Metabolic Diseases, University Hospital Centre Zagreb, School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Wilson E Sadoh
- Cardiology Unit, Department of Child Health, University of Benin Teaching Hospital, Benin City, Edo State, Nigeria
| | - Amirhossein Sahebkar
- Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran; Neurogenic Inflammation Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Abdullah Shehab
- Department of Internal Medicine, United Arab Emirates University-College of Medicine and Health Sciences, AlAin, United Arab Emirates
| | - Aleksander B Shek
- CAD and Atherosclerosis Laboratory, Republican Specialized Centre of Cardiology (RSCC), Ministry of Health of the Republic of Uzbekistan, Tashkent, Uzbekistan
| | - Mario Stoll
- Honorary Commission for Cardiovascular Health (CHSCV), Montevideo, Uruguay
| | - Ta-Chen Su
- Departments of Internal Medicine and Environmental & Occupational Medicine, Cardiovascular Centre, National Taiwan University Hospital, Taipei, Taiwan
| | - Tavintharan Subramaniam
- Diabetes Centre, Admiralty Medical Centre, Singapore; Division of Endocrinology, Khoo Teck Puat Hospital, Singapore; Clinical Research Unit, Khoo Teck Puat Hospital, Singapore
| | - Andrey V Susekov
- Faculty of Clinical Pharmacology and Therapeutics, Academy for Postgraduate Medical Education and Central Clinical Hospital, Academy of Medical Science, Moscow, Russia
| | | | - Myra Tilney
- Department of Medicine, Faculty of Medicine and Surgery, University of Malta, Malta; Lipid Clinic, Mater Dei Hospital, Malta
| | - Brian Tomlinson
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Thanh-Huong Truong
- Department of Cardiology, Hanoi Medical University, Hanoi, Viet Nam; Vietnam National Heart Institute, Bach Mai Hospital, Hanoi, Viet Nam
| | | | - Anne Tybjærg-Hansen
- Department of Clinical Biochemistry and the Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Denmark
| | | | - Margus Viigimaa
- Centre for Cardiovascular Medicine, North Estonia Medical Centre, Tallinn University of Technology, Tallinn, Estonia
| | - Branislav Vohnout
- Institute of Nutrition, FOZOS, Slovak Medical University, Bratislava, Slovakia; Coordination Centre for Familial Hyperlipoproteinemias, Slovak Medical University, Bratislava, Slovakia
| | - Elisabeth Widén
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
| | - Shizuya Yamashita
- Rinku General Medical Centre and Osaka University Graduate School of Medicine, Osaka, Japan
| | - Maciej Banach
- Department of Hypertension, Medical University of Lodz, Lodz, Poland
| | - Dan Gaita
- Universitatea de Medicina si Farmacie Victor Babes din Timisoara, Romania
| | - Lixin Jiang
- National Clinical Research Centre of Cardiovascular Diseases, Fuwai Hospital, National Centre for Cardiovascular Diseases, Beijing, China
| | - Lennart Nilsson
- Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Lourdes E Santos
- Cardinal Santos Medical Centre, University of the Philippines - Philippine General Hospital (UP-PGH), Philippines
| | - Heribert Schunkert
- Deutsches Herzzentrum München, Technische Universität München, Deutsches Zentrumfür Herz- und Kreislauferkrankungen (DZHK), Munich Heart Alliance, Germany
| | - Lale Tokgözoğlu
- Department of Cardiology, Hacettepe University, Ankara, Turkey
| | - Josip Car
- Global eHealth Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom; Centre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Alberico L Catapano
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy; IRCCS MultiMedica, Sesto S. Giovanni, Milan, Italy
| | - Kausik K Ray
- Imperial Centre for Cardiovascular Disease Prevention (ICCP), Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, United Kingdom
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Zafrir B, Jubran A, Lavie G, Halon DA, Flugelman MY, Shapira C. Clinical Features and Gaps in the Management of Probable Familial Hypercholesterolemia and Cardiovascular Disease. Circ J 2017; 82:218-223. [PMID: 28701632 DOI: 10.1253/circj.cj-17-0392] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
BACKGROUND Familial hypercholesterolemia (FH) is associated with premature atherosclerotic cardiovascular disease (ASCVD). The introduction of potent therapeutic agents underlies the importance of improving clinical diagnosis and treatment gaps in FH. METHODS AND RESULTS A regional database of 1,690 adult patients with high-probability FH based on age-dependent peak-low-density lipoprotein cholesterol (LDL-C) cut-offs and exclusion of secondary causes of severe hypercholesterolemia, was examined to explore the clinical manifestations and current needs in the management of ASCVD, which was present in 248 patients (15%), of whom 83% had coronary artery disease (CAD); 19%, stroke; and 13%, peripheral artery disease. ASCVD was associated with male gender, higher peak LDL-C, lower high-density lipoprotein cholesterol (HDL-C), and traditional risk factor burden. Despite high-intensity statin (prescribed in 83% and combined with ezetimibe in 42%), attainment of LDL-C treatment goals was low, and associated with treatment intensity and drug adherence. Multivessel CAD (adjusted hazard ratios (HR), 3.05; 95% CI: 1.65-5.64), myocardial infarction, and the presence of ≥1 traditional risk factor (HR, 2.59; 95% CI: 1.42-4.71), were associated with repeat coronary revascularizations, in contrast with peak LDL-C >300 mg/dL (HR, 1.13; 95% CI: 0.66-1.91). CONCLUSIONS Main manifestations of ASCVD in FH patients were premature, multivessel CAD with need for recurrent revascularization, associated with classical cardiovascular risk factors but not with peak LDL-C. In spite of intensive therapy with lipid-lowering agents, treatment gaps were significant, with low attainment of LDL-C treatment goals.
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Affiliation(s)
- Barak Zafrir
- Department of Cardiology, Lady Davis Carmel Medical Center
| | - Ayman Jubran
- Department of Cardiology, Lady Davis Carmel Medical Center
| | - Gil Lavie
- Department of Medicine, Lady Davis Carmel Medical Center
| | - David A Halon
- Department of Cardiology, Lady Davis Carmel Medical Center
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