Publications by authors named "Brian Ference"

Article Synopsis
  • * Keeping LDL cholesterol levels low reduces the number of LDL particles in arteries, which slows atherosclerosis progression and lowers lifetime ASCVD risk.
  • * The concept of LDL cumulative exposure, combining the amount and duration of LDL levels, serves as a unique risk marker for cardiovascular events and can guide strategies for ASCVD prevention in clinical practice.
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  • - Obicetrapib is a new medication that lowers harmful LDL cholesterol and increases beneficial HDL cholesterol, potentially helping patients with high cholesterol levels who don’t respond to standard treatments.
  • - The BROADWAY and BROOKLYN trials are ongoing studies testing the effectiveness and safety of obicetrapib in patients with cardiovascular disease or genetic high cholesterol issues; over 2,500 participants are involved.
  • - Results from these trials, which will examine various cholesterol-related markers and safety concerns, are expected in 2024 and could support the use of obicetrapib in high-risk patient populations.
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  • The use of drugs to lower LDL cholesterol (LDL-C) has significantly decreased the risk of heart disease, but some cardiovascular risk remains.
  • Elevated triglycerides (TGs) and TG-rich lipoproteins are linked to increased cardiovascular risk, highlighting the need to address these factors.
  • New treatments targeting apolipoprotein C-III (apoC-III), which plays a crucial role in TG metabolism, show promise in further reducing triglyceride levels and associated heart disease risk.
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  • In 2022, the European Atherosclerosis Society released a consensus statement highlighting the link between lipoprotein(a) [Lp(a)] levels and an increased risk of atherosclerotic cardiovascular disease (ASCVD) and aortic stenosis.
  • A new risk calculator was introduced to help assess an individual's lifetime risk for ASCVD, particularly noting that those with high Lp(a) levels may be at greater risk than previously understood.
  • The statement also offers practical guidance for managing cardiovascular risk based on Lp(a) levels and addresses common questions regarding Lp(a) measurement and treatment options in everyday clinical practice.
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Background: Atherosclerotic cardiovascular diseases (ASCVD) including myocardial infarction, stroke and peripheral arterial disease continue to be major causes of premature death, disability and healthcare expenditure globally. Preventing the accumulation of cholesterol-containing atherogenic lipoproteins in the vessel wall is central to any healthcare strategy to prevent ASCVD. Advances in current concepts about reducing cumulative exposure to apolipoprotein B (apo B) cholesterol-containing lipoproteins and the emergence of novel therapies provide new opportunities to better prevent ASCVD.

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Familial hypercholesterolaemia (FH) is the most common inherited metabolic disorder characterized by high cholesterol and if left untreated leads to premature cardiovascular disease, such as heart attacks. Treatment that begins early in life, particularly in childhood, is highly efficacious in preventing cardiovascular disease and cost-effective, thus early detection of FH is crucial. However, in Europe, less than 10% of people living with FH are diagnosed and even less receive life-saving treatment.

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  • The study investigates whether genetically lower PCSK9 levels can reduce lipoprotein(a) (Lp(a)) and its impact on cardiovascular diseases like coronary artery disease (CAD) and ischemic stroke (IS).
  • Using UK Biobank data with over 310,000 individuals, researchers found that PCSK9 inhibition was linked to a significant decrease in Lp(a) levels and a slight reduction in the risk of CAD and IS.
  • While there is an association between PCSK9 inhibition and lowered Lp(a), the reduction in Lp(a) accounts for only a small portion of the overall decrease in risk for CAD and IS.
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Article Synopsis
  • * It recommends testing Lp(a) levels in adults, especially those with a family history of high Lp(a) or premature ASCVD, and suggests aggressive management of cardiovascular risk factors in the absence of specific Lp(a)-lowering therapies.
  • * The statement underscores the need for further research into Lp(a)-lowering treatments while recognizing Lp(a) as a causal risk factor for cardiovascular conditions, reinforcing
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Health economic analyses are essential for health services research, providing decision-makers and payers with evidence about the value of interventions relative to their opportunity cost. However, many health economic approaches are still limited, especially regarding the primary prevention of cardiovascular disease (CVD). In this article, we discuss some limitations to current health economic models and then outline an approach to address these via the incorporation of genomics into the design of health economic models for CVD.

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Background: In primary cardiovascular disease prevention, early identification of high-risk individuals is crucial. Genetic information allows for the stratification of genetic predispositions and lifetime risk of cardiovascular disease. However, towards clinical application, the added value over clinical predictors later in life is crucial.

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The prevalence of dyslipidaemia has been increasing in the Asia-Pacific region and this is attributed to dietary changes and decreasing physical activity. While there has been substantial progress in dyslipidaemia therapy, its management in the region is hindered by limitations in awareness, adherence and healthcare costs. The Asian Pacific Society of Cardiology (APSC) developed these consensus recommendations to address the need for a unified approach to managing dyslipidaemia.

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Aims: The aim of this study was to assess the impact and cost-effectiveness of offering population genomic screening to all young adults in Australia to detect heterozygous familial hypercholesterolaemia (FH).

Methods And Results: We designed a decision analytic Markov model to compare the current standard of care for heterozygous FH diagnosis in Australia (opportunistic cholesterol screening and genetic cascade testing) with the alternate strategy of population genomic screening of adults aged 18-40 years to detect pathogenic variants in the LDLR/APOB/PCSK9 genes. We used a validated cost-adaptation method to adapt findings to eight high-income countries.

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Importance: Lipid management typically focuses on levels of low-density lipoprotein cholesterol (LDL-C) and, to a lesser extent, triglycerides (TG). However, animal models and genetic studies suggest that the atherogenic particle subpopulations (LDL and very-low-density lipoprotein [VLDL]) are both important and that the number of particles is more predictive of cardiac events than their lipid content.

Objective: To determine whether common measures of cholesterol concentration, TG concentration, or their ratio are associated with cardiovascular risk beyond the number of apolipoprotein B (apoB)-containing lipoproteins.

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Recent advances in human genetics, together with a large body of epidemiologic, preclinical, and clinical trial results, provide strong support for a causal association between triglycerides (TG), TG-rich lipoproteins (TRL), and TRL remnants, and increased risk of myocardial infarction, ischaemic stroke, and aortic valve stenosis. These data also indicate that TRL and their remnants may contribute significantly to residual cardiovascular risk in patients on optimized low-density lipoprotein (LDL)-lowering therapy. This statement critically appraises current understanding of the structure, function, and metabolism of TRL, and their pathophysiological role in atherosclerotic cardiovascular disease (ASCVD).

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Aims: Reliably quantifying event rates in secondary prevention could aid clinical decision-making, including quantifying potential risk reductions of novel, and sometimes expensive, add-on therapies. We aimed to assess whether the SMART risk prediction model performs well in a real-world setting.

Methods And Results: We conducted a historical open cohort study using UK primary care data from the Clinical Practice Research Datalink (2000-2017) diagnosed with coronary, cerebrovascular, peripheral, and/or aortic atherosclerotic cardiovascular disease (ASCVD).

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Clinical estimation of the combined effect of several risk factors is unreliable and this resulted in the development of a number of risk estimation systems to guide clinical practice. Here, after defining general principles of risk estimation, the authors describe the evolution of the European Society of Cardiology's (ESC) Systematic COronary Risk Evaluation (SCORE) risk estimation system and some learnings from the data. They move on to describe the establishment of the ESC's Cardiovascular Risk Collaboration and outline its proposed research directions.

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Drug development in cardiovascular disease is stagnating, with lack of efficacy and adverse effects being barriers to innovation. Human genetics can provide compelling evidence of causation through approaches such as Mendelian randomization, with genetic support for causation increasing the probability of a clinical trial succeeding. Mendelian randomization applied to quantitative traits can identify risk factors for disease that are both causal and amenable to therapeutic modification.

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Background And Aims: Trial evidence for the benefits of cholesterol-lowering is limited for familial hypercholesterolemia (FH) patients, since they have not been the focus of large outcome trials. We assess statin use in coronary artery disease (CAD) subjects with low-density lipoprotein cholesterol (LDL-C) ≥4.9 mmol/L with or without an FH phenotype.

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Randomized controlled trials and Mendelian randomization studies are two study designs that provide randomized evidence in human biological and medical research. Both exploit the power of randomization to provide unconfounded estimates of causal effect. However, randomized trials and Mendelian randomization studies have very different study designs and scientific objectives.

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Background And Aims: There are no studies that have specifically investigated the cost-effectiveness of cascade screening of children for heterozygous familial hypercholesterolemia (FH) and treatment of affected individuals with statins to prevent coronary heart disease (CHD). This study explores the cost-effectiveness of this strategy from the perspective of the Australian public healthcare system.

Methods: A lifetime Markov model with four health states (Alive without CHD, Alive with CHD, Dead from fatal CHD, and Dead from other causes) was developed to simulate the progression of ten-year-old children screened for FH and treated immediately with statins if found to have FH.

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