Screening For Familial Hypercholesterolemia Research Articles

Primary care clinician engagement in implementing a machine-learning algorithm for targeted screening of familial hypercholesterolemia

ObjectiveTo assess the impact of a multi-pronged educational approach on the knowledge, attitudes, and behaviors regarding Familial Hypercholesterolemia (FH) management at a large academic medical center with the aim of empowering primary care clinicians (PCC) to diagnose and treat FH. MethodsA comprehensive educational program for PCCs on FH management was developed and piloted from July 2022 to March 2024. Components of our intervention included: 1. Implementation of a novel clinical decision support tool in the electronic medical record for FH management, 2. Development and dissemination of an interactive educational website focused on FH and its management, 3. Delivery of virtual instructional sessions to increase awareness of the tool, provide education on its use, and obtain support from institutional leadership, and 4. Direct outreach to a pilot subset of PCCs whose patients had been detected using the validated FIND FH® machine learning algorithm. Participating clinicians were surveyed at baseline before the intervention and after the educational session. Results70 PCC consented to participate in the study with a survey completion rate of 79 % (n = 55) and 42 % (n = 23) for the baseline and follow-up surveys, respectively. Objective PCC knowledge scores improved from 40 to 65 % of responders correctly responding to at least 2/3rds of survey questions. Despite the fact that 87 % identified PCC's as most effective for early detection of FH, 100 % of PCCs who received direct outreach chose to defer care to an outpatient cardiologist over pursuing workup in the primary care setting. ConclusionEmpowering PCCs in management of FH serves as a key strategy in addressing this underdiagnosed and undertreated potentially life-threatening condition. A systems-based approach to addressing these aims may include leveraging EMR-based clinical decision support models and cross-disciplinary educational partnerships with medical specialists.

Potentials of artificial intelligence in familial hypercholesterolemia: Advances in screening, diagnosis, and risk stratification for early intervention and treatment

Familial hypercholesterolemia (FH) poses a global health challenge due to high incidence rates and underdiagnosis, leading to increased risks of early-onset atherosclerosis and cardiovascular diseases. Early detection and treatment of FH is critical in reducing the risk of cardiovascular events and improving the long-term outcomes and quality of life for affected individuals and their families. Traditional therapeutic approaches revolve around lipid-lowering interventions, yet challenges persist, particularly in accurate and timely diagnosis. The current diagnostic landscape heavily relies on genetic testing of specific LDL-C metabolism genes, often limited to specialized centers. This constraint has led to the adoption of alternative clinical scores for FH diagnosis. However, the rapid advancements in artificial intelligence (AI) and machine learning (ML) present promising solutions to these diagnostic challenges. This review explores the intricacies of FH, highlighting the challenges that are encountered in the diagnosis and management of the disorder. The revolutionary potential of ML, particularly in large-scale population screening, is highlighted. Applications of ML in FH screening, diagnosis, and risk stratification are discussed, showcasing its ability to outperform traditional criteria. However, challenges and ethical considerations, including algorithmic stability, data quality, privacy, and consent issues, are crucial areas that require attention. The review concludes by emphasizing the significant promise of AI and ML in FH management while underscoring the need for ethical and practical vigilance to ensure responsible and effective integration into healthcare practices.

Centralized Cascade Screening for Familial Hypercholesterolemia: Perspectives of Patients and Providers

Centralized Cascade Screening for Familial Hypercholesterolemia: Perspectives of Patients and Providers

Improved Efficiency of the Clinical Diagnostic Criteria for Familial Hypercholesterolemia in Children: A Comparison of the Japan Atherosclerosis Society Guidelines of 2017 and 2022.

Familial hypercholesterolemia (FH) is a genetic disorder characterized by elevated low-density lipoprotein cholesterol (LDL-C) levels, which increases the risk of premature coronary artery disease. Early detection and treatment are vital, especially in children. To improve FH diagnosis in children, the Japan Atherosclerosis Society (JAS) released new guidelines in July 2022. This study assessed and compared the sensitivity and specificity of the clinical diagnostic criteria from the JAS pediatric FH guidelines of 2017 and 2022. From September 2020 to March 2023, 69 children with elevated plasma LDL-C levels (≥ 140 mg/dL) were included in a pediatric FH screening project in Kagawa. The children were evaluated using genetic testing alongside the clinical diagnostic criteria from the JAS pediatric FH guidelines of 2017 and 2022. Using the JAS pediatric FH 2017 criteria, eight children were diagnosed as FH-positive and 61 children as FH-negative. The JAS pediatric FH 2022 criteria identified 15 children with definite FH, 31 with probable FH, and 23 with possible FH. Genetic testing detected FH pathogenic variants in 24 children. The sensitivity and specificity for the JAS pediatric FH 2017 criteria were 0.292 and 0.978, respectively. For the JAS pediatric FH 2022 criteria, the sensitivity was 0.542 for definite FH with a specificity of 0.956, and 0.917 for probable FH with a specificity of 0.467. The clinical diagnostic criteria of the JAS pediatric FH 2022 guidelines demonstrated improved diagnostic efficiency compared with those of 2017, as evidenced by the increased sensitivity while preserving specificity.

Algorithm for detection and screening of familial hypercholesterolemia in Lithuanian population

BackgroundFamilial hypercholesterolemia (FH) is one of the most common autosomal dominant diseases. FH causes a lifelong increase in low-density lipoprotein cholesterol (LDL-C) levels, which in turn leads to atherosclerotic cardiovascular disease. The incidence of FH is widely underestimated and undertreated, despite the availability and effectiveness of lipid-lowering therapy. Patients with FH have an increased cardiovascular risk; therefore, early diagnosis and treatment are vital. To address the burden of FH, several countries have implemented national FH screening programmes. The currently used method for FH detection in Lithuania is mainly based on opportunistic testing with subsequent cascade screening of index cases’ first-degree relatives.MethodsA total of 428 patients were included in this study. Patients with suspected FH are referred to a lipidology center for thorough evaluation. Patients who met the criteria for probable or definite FH according to the Dutch Lipid Clinic Network (DLCN) scoring system and/or had LDL-C > = 6.5 mmol/l were subjected to genetic testing. Laboratory and instrumental tests, vascular marker data of early atherosclerosis, and consultations by other specialists, such as radiologists and ophthalmologists, were also recorded.ResultsA total of 127/428 (30%) patients were genetically tested. FH-related mutations were found in 38.6% (n = 49/127) of the patients. Coronary artery disease (CAD) was diagnosed in 13% (n = 57/428) of the included patients, whereas premature CAD was found in 47/428 (11%) patients. CAD was diagnosed in 19% (n = 9/49) of patients with FH-related mutations, and this diagnosis was premature for all of them.ConclusionsMost patients in this study were classified as probable or possible FH without difference of age and sex. The median age of FH diagnosis was 47 years with significantly older females than males, which refers to the strong interface of this study with the LitHir programme. CAD and premature CAD were more common among patients with probable and definite FH, as well as those with an FH-causing mutation. The algorithm described in this study is the first attempt in Lithuania to implement a specific tool which allows to maximise FH detection rates, establish an accurate diagnosis of FH, excluding secondary causes of dyslipidaemia, and to select patients for cascade screening initiation more precisely.

Efficacy of targeted screening for familial hypercholesterolemia in children and adults aged <44 years: retrospective, prospective observational study

BACKGROUND: Considering the high cardiovascular risk in patients with familial hypercholesterolemia (FH), early diagnosis and treatment are the basis for the prevention of vascular accidents. In the absence of universal screening, the results of more targeted diagnostics are of interest — the search for lipid metabolism disorders in young relatives of patients with atherosclerotic vascular diseases.
 OBJECTIVE: To determine the effectiveness of targeted screening for identifying patients with FH, which will justify its widespread use in clinical practice.
 MATERIALS AND METHODS: At the start of the observational study, 584 patients were identified from the vascular centers of the Krasnoyarsk Regional Hospital, Krasnoyarsk Interdistrict Clinical Hospital No. 20 named after. I.S. Berzon, who had lipid profile data and early cardiovascular events (all forms of coronary heart diseases), including reconstructive vascular interventions up to 55 years in men and up to 60 years in women in the case of first-degree relatives and up to 50 years in second-degree relatives. The study examined patients’ relatives aged 44 years. To diagnose FH in participants aged 16 years, the scale developed by a network of Dutch lipid clinics was used; in participants aged 16 years, the S. Broome criteria were used. Targeted screening and lipid parameters in individuals with probable, possible, and definite FH were analyzed. Data processing was performed using Microsoft Excel and Statistica v. 12.0 (USA). Parametric (calculation of the median and 25th and 75th quartiles) and nonparametric (statistical significance of differences was determined using the Mann–Whitney and χ2 tests) methods were used.
 RESULTS: The study examined 70 children and 104 adults aged 44 years whose first- and/or second-degree relatives suffered premature vascular events. In the general group of participants, 42 (24.14%) patients had FH (of which 18 were 17 years old) and 37 (21.2%) had hyperlipoproteinemia (a). Definite FH was documented in 16 (9.1%) patients, probable in another 16, and possible in 9. Hyperlipoproteinemia (a) was found in 37 (21.2% of general group) patients, including 12 children (17.1% of pediatric group).
 CONCLUSION: Not more than 30% of the population are aware of the hereditary nature of lipid metabolism disorders and atherosclerotic diseases. Targeted screening is the least expensive and most effective tool for identifying patients with FH and hyperdipoproteinemia (a).

493 Knowledge of Familial Hypercholesterolemia Among Cardiology Healthcare Providers

OBJECTIVES/GOALS: Familial Hypercholesterolemia (FH) is a common disorder that is vastly underdiagnosed and causes an increased risk for sudden cardiac death. Cardiology providers (CHCPs) are in an ideal position to care for patients with FH. This research aimed to assess the knowledge of CHCPs in the screening, diagnosis, and management of FH. METHODS/STUDY POPULATION: Adaptation of an existing knowledge tool guided survey development. FH knowledge domains included description of FH, prognosis, prevalence, inheritance, diagnostic criteria, and management options. CHCPs were asked to select their provider type (MD, PA, NP, RN) and years in clinical practice (less than 1-5 years, 6-10 years, 11-20 years, and greater than 20 years).Convenience and snowball sampling recruited CHCPs in the Division of Cardiology at Columbia University Irving Medical Center (CUIMC). Descriptive statistical analysis was performed on quantitative survey data using R. Frequency counts of provider type and years in clinical practice were calculated. Comparisons of scores between provider types and years in clinical practice were made using ANOVA. RESULTS/ANTICIPATED RESULTS: 70 surveys were analyzed (30.2% response rate). 50% of CHCPs identified as MDs, 24.2% as RNs, 12.9% as NPs, and 12.9% as PAs. With regards to clinical experience, 21.4% of CHCPs had 1-5 years, 25.7% had 6-10 years, 24.3% had 11-20 years, and 28.6% had greater than 20 years. The average overall score across all CHCPs was 55.4%, with the highest on the description knowledge domain (81.4% correct), followed by management (61.8%), diagnostic criteria (60.6%), inheritance (58.6%), prevalence (44.3%), and prognosis (25.2%). Physicians had the highest average score of 66.0%, followed by NPs (50.3%), PAs (49.7%), and RNs (39.3%). There was no significant difference in scores across experience levels, provider types, and knowledge domains based on experience levels. DISCUSSION/SIGNIFICANCE: CHCPs across all provider types and years of experience had limited FH knowledge. There exists an opportunity to improve CHCPs’ knowledge of FH through education (didactic knowledge) or practice (experiential knowledge). Future interventions should aim to increase didactic and experiential knowledge of CHCPs through a variety of methods.

Cascade screening for familial hypercholesterolemia from pediatric index cases diagnosed through universal screening

Heterozygous Familial Hypercholesterolemia (HeFH) is an autosomal dominant disorder causing elevated low density lipoprotein cholesterol (LDL-C) and premature atherosclerotic cardiovascular disease. Universal cholesterol screening in childhood leads to children serving as the index case for their family, but efficacy of cascade screening and genetic counseling in this population is not well understood. The institutional pediatric lipid clinic database was queried from 2011 to 2022 for subjects <18 years who met clinical HeFH diagnostic criteria (N = 256). Median peak LDL-C was 198 mg/dL (IQR 179–238 mg/dL) and 69.5 % of subjects were the index case. The number of new HeFH cases identified per index case was 3.55 ± 1.87. Genetic counseling was offered to 38.7 % of subjects and genetic testing was completed by 10.9 %, 53.6 % of whom had a pathogenic or likely pathogenic genetic variant for HeFH. Our findings highlight the effectiveness of cascade screening from pediatric index cases identified through universal screening. However, genetic counseling and genetic testing may be underutilized in this population.

Abstract MP56: Screening for Familial Hypercholesterolemia: School Based Programs May Be Best Alternative

Introduction: Familial Hypercholesterolemia (FH) is an autosomal dominant condition characterized by elevated cholesterol and premature development of cardiovascular (CV) disease affecting 1/200 - 1/500 individuals. Only 10% of the affected population in the United States have been identified and treated compared to 50-70% in Scandinavian countries identified through school-based or universal screening programs. Hypothesis Statement: School based programs are the best mechanism for FH screening. Methods: The Healthy Hearts and Minds Program (HHM) through UCHealth performs biometric screenings on 5th, 7th, and 10th grade students in Northern Colorado. HHM tested 10,991 5th grade students (9/2017 - 5/2022) and identified 424 students with total cholesterol levels ≥200 mg/dL (range 200-302). A buccal smear test (APOB, LDLR, PCSK9) was performed on 99 individuals with the highest total cholesterol levels to identify genetic status. A binomial logistic regression model was used for analysis. Results: Of the 99 students, six tested positive (50% male, 10.3 years, 22.8 BMI) for FH with five (40% male, 11.3 years, 17.3 BMI.) reporting a variant of indeterminate significance. A sigmoidal association between total cholesterol and predicted chance of FH was identified with the inflection point at ~270 mg/dL. Conclusions: Comprehensive school based programs are the most effective and equitable means of identifying this genetic based disease and should be supported in a collaborative manner with health care systems, industry and the community. With availability to all students, diversity, equity, and inclusion concerns are addressed and provide at risk populations with personalized health information. The results from this study suggest a school-based screening program can be effective at identifying students most at risk for FH. These results further define the relation between total cholesterol and predicted chance of FH for a school-aged population where 245 mg/dL indicates a 10.3% of testing positive for FH whereas 275 mg/dL has a 54.8% chance. Additionally, the multiplier effect documented through cascade FH testing enhances the benefit of the information to other family members, as the autosomal dominant pattern insures that 50% of members will be at risk. The individual benefit of identifying FH early is the treatability of this condition. Early use of lipid lowering agents can make the CV disease risk equal to the general population. If left untreated, CV disease occurs approximately 10 years earlier which results in increased mortality and disability, along with increased health care costs. Therefore, if elevated cholesterol is present in school children, genetic testing is warranted and treatment considered by age 8-10 years, especially if signs of abnormal vascular plaquing is identified.

Measuring Costs of Cardiovascular Disease Prevention for Patients with Familial Hypercholesterolemia in Administrative Claims Data.

Familial hypercholesterolemia is a common genetic condition that significantly increases an individual's risk of cardiovascular events such as heart attack, stroke, and cardiac death and is a candidate for population-wide screening programs. Economic analyses of strategies to identify and treat familial hypercholesterolemia are limited by a lack of real-world cost estimates for screening services and medications for reducing cardiovascular risk in this population. We estimated the cost of lipid panel testing in patients with hyperlipidemia and the cost of statins, ezetimibe, and PCKS9 inhibitors in patients with familial hypercholesterolemia from a commercial claims database and report costs and charges per panel and prescription by days' supply. The mean cost for a 90-day supply for statins was $183.33, 2.3 times the mean cost for a 30-day supply at $79.35. PCSK9 inhibitors generated the highest mean costs among medications used by patients with familial hypercholesterolemia. Lipid testing and lipid-lowering medications for cardiovascular disease prevention generate substantial real-world costs which can be used to improve cost-effectiveness models of familial hypercholesterolemia screening and care management.

Familial Hypercholesterolemia Variant and Cardiovascular Risk in Individuals With Elevated Cholesterol

Familial hypercholesterolemia (FH) is a genetic disorder that often results in severely high low-density lipoprotein cholesterol (LDL-C) and high risk of premature coronary heart disease (CHD). However, the impact of FH variants on CHD risk among individuals with moderately elevated LDL-C is not well quantified. To assess CHD risk associated with FH variants among individuals with moderately (130-189 mg/dL) and severely (≥190 mg/dL) elevated LDL-C and to quantify excess CHD deaths attributable to FH variants in US adults. A total of 21 426 individuals without preexisting CHD from 6 US cohort studies (Atherosclerosis Risk in Communities study, Coronary Artery Risk Development in Young Adults study, Cardiovascular Health Study, Framingham Heart Study Offspring cohort, Jackson Heart Study, and Multi-Ethnic Study of Atherosclerosis) were included, 63 of whom had an FH variant. Data were collected from 1971 to 2018, and the median (IQR) follow-up was 18 (13-28) years. Data were analyzed from March to May 2023. LDL-C, cumulative past LDL-C, FH variant status. Cox proportional hazards models estimated associations between FH variants and incident CHD. The Cardiovascular Disease Policy Model projected excess CHD deaths associated with FH variants in US adults. Of the 21 426 individuals without preexisting CHD (mean [SD] age 52.1 [15.5] years; 12 041 [56.2%] female), an FH variant was found in 22 individuals with moderately elevated LDL-C (0.3%) and in 33 individuals with severely elevated LDL-C (2.5%). The adjusted hazard ratios for incident CHD comparing those with and without FH variants were 2.9 (95% CI, 1.4-6.0) and 2.6 (95% CI, 1.4-4.9) among individuals with moderately and severely elevated LDL-C, respectively. The association between FH variants and CHD was slightly attenuated when further adjusting for baseline LDL-C level, whereas the association was no longer statistically significant after adjusting for cumulative past LDL-C exposure. Among US adults 20 years and older with no history of CHD and LDL-C 130 mg/dL or higher, more than 417 000 carry an FH variant and were projected to experience more than 12 000 excess CHD deaths in those with moderately elevated LDL-C and 15 000 in those with severely elevated LDL-C compared with individuals without an FH variant. In this pooled cohort study, the presence of FH variants was associated with a 2-fold higher CHD risk, even when LDL-C was only moderately elevated. The increased CHD risk appeared to be largely explained by the higher cumulative LDL-C exposure in individuals with an FH variant compared to those without. Further research is needed to assess the value of adding genetic testing to traditional phenotypic FH screening.

Using implementation science to develop a familial hypercholesterolemia screening program in primary care: The CARE-FH study

We designed the Collaborative Approach to Reach Everyone with Familial Hypercholesterolemia (CARE-FH) clinical trial to improve FH screening in primary care and facilitate guideline-based care. The goal was to incorporate perspectives from end-users (healthcare system leaders, primary care clinicians, cardiologists, genetic counselors, nurses, and clinic staff) and improve translation of screening guidance into practice. We partnered with end-users to sequentially define the current state of FH screening, assess acceptability, feasibility, and appropriateness of implementing an FH screening program, and select clinically actionable strategies at the patient-, clinician-, and system-level to be deployed as a package in the CARE-FH clinical trial. Methods informed by implementation science and human centered design included: contextual inquiries, surveys, and deliberative engagement sessions. Screening for FH occurred rarely in primary care, and then only after a cardiovascular event or sometimes due to a family history of high cholesterol or early heart attack. Surveys suggested FH screening in primary care was acceptable, appropriate, and feasible. Reported and observed barriers to screening include insufficient time at patient encounters to screen, cost and convenience of testing for patients, and knowledge regarding causes of dyslipidemia. Facilitators included clear guidance on screening criteria and new therapies to treat FH. These results led to the development of multilevel strategies that were presented to end-users, modified, and then pilot tested in one primary care clinic. A refined implementation strategy package for FH screening was created with a goal of improving FH awareness, identification, and initiation of guideline-based care. https://clinicaltrials.gov/study/NCT05284513?id=NCT05284513&rank=1 Unique Identifier: NCT05284513.

Genetic Spectrum and Cascade Screening of Familial Hypercholesterolemia in Routine Clinical Setting in Hong Kong.

Familial hypercholesterolemia (FH) is a prevalent but often underdiagnosed monogenic disorder affecting lipoprotein metabolism, and genetic testing for FH has not been widely conducted in Asia in the past. In this cross-sectional study of 31 probands (19 adults and 12 children) and an addition of 15 individuals (12 adults and 3 children), who underwent genetic testing and cascade screening for FH, respectively, during the period between February 2015 and July 2023, we identified a total of 25 distinct LDLR variants in 71.0% unrelated probands. Among the adult proband cohort, a higher proportion of genetically confirmed cases exhibited a positive family history of premature cardiovascular disease. Treatment intensity required to achieve an approximate 50% reduction in pretreatment low-density lipoprotein cholesterol (LDL-C) exhibited potentially better diagnostic performance compared to pretreatment LDL-C levels, Dutch Lipid Clinic Network Diagnostic Criteria (DLCNC) score, and modified DLCNC score. Adult individuals identified through cascade screening demonstrated less severe phenotypes, and fewer of them met previously proposed local criteria for FH genetic testing compared to the probands, indicating that cascade screening played a crucial role in the early detection of new cases that might otherwise have gone undiagnosed. These findings underscore the significance of genetic testing and cascade screening in the accurate identification and management of FH cases.

Abstract 11930: Using Implementation Science to Develop a Familial Hypercholesterolemia Screening Program in Primary Care: The CARE-FH Study

Introduction: Cholesterol screening in primary care is necessary to identify children and young adults with familial hypercholesterolemia (FH). Research question: What is the current state of FH screening and what barriers exist to screening? What implementation strategies informed by human centered design can be utilized to improve FH screening in primary care? Aim: We partnered with key stakeholders to sequentially define the current state of FH screening, assess acceptability, feasibility, and appropriateness of implementing an FH screening program, and select clinically usable strategies to be deployed as a package in the CARE-FH clinical trial. Methods: Data on the perspectives of primary care clinicians to implement an FH screening program were collected. Methods informed by implementation science and human centered design for data collections included: contextual inquiries, surveys, and deliberative engagement sessions. Results: Current screening for FH occurred rarely, and then only after a cardiovascular event or sometimes in primary care due to a family history of high cholesterol or early heart attack. Surveys of primary care clinicians suggested FH screening in primary care was acceptable, appropriate, and feasible. Reported and observed barriers and facilitators to screening identified where improvement in FH screening and diagnosis could occur. Data from the current state and perspectives on FH screening were used to identify multilevel implementation strategies that were presented to and modified by clinician and healthcare stakeholders. This package of strategies was pilot tested in one primary care clinic and further refined to a final implementation strategy package to be tested in a geographical cluster randomized stepped wedge trial. Conclusion: We created an implementation strategy package to be deployed and evaluated in the CARE-FH clinical trial to improve FH awareness, identification, and initiate guideline-based care.

Abstract 13391: The Natural History of Familial Hypercholesterolemia Diagnosis, Treatment, and Outcomes in Patients With Incidental LDLR Pathogenic Mutation Found in Population Based Sequencing Study

Introduction: The HerediGene Population Study is a collaborative between Intermountain Health and deCODE genetics that seeks to understand the genetics behind diseases to better predict and prevent disease. Here we describe the natural history of familial hypercholesterolemia (FH) diagnosis (dx), treatment, and outcomes in HerediGene patients (pts) with an LDLR gene variant. Methods: From the first 32,159 sequenced pts, 157 (0.05%) had a pathogenic/likely pathogenic variant in LDLR. These LDLR carriers were divided into three groups - pts with no prior FH dx (n=47; 30%), pts with an FH dx made after a major adverse cardiovascular event (including, myocardial infarction, heart failure hospitalization, stroke, peripheral artery disease, and carotid artery disease) (n=41; 26%), and pts with an FH dx made prior to any MACE (n=69, 44%) (this is the referent group). The natural history of FH was examined using pairwise comparisons between the referent group and each of the first two groups. Results: The clinical characteristics, LDL-C values, treatments, and outcomes are shown in the Table. The age at last visit or death was similar for all these groups (median=62). Compared to pts without an FH dx, pts with FH dx prior to a MACE had significantly more LDL-C measurements, increased statin and other lipid-lowering medications, and had a large change in LDL-C measurements. They were slightly, but not statistically, less likely to have subsequent MACE (25% vs 28%; p=0.72). The LDL-C measurements and statin use were similar for those pts with FH dx after MACE and pts with FH dx prior to MACE. However, pts with FH dx after a MACE had higher rates of death (36.6% vs 11.6%; p=0.002). Conclusions: Aggressive treatment for and subsequent decrease in LDL-C following FH dx in pts with LDLR mutation, highlight the need for early diagnosis. Furthermore, if this dx was made prior to MACE the death rate was lower. Larger sized studies are needed, but these findings provide support for early screening for FH.

Prevalence of familial hypercholesterolemia in patients with acute coronary syndrome

&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Aim &amp;lt;br /&amp;gt;&amp;lt;/strong&amp;gt;To investigate the prevalence of familial hypercholesterolemia in patients with acute coronary syndrome (ACS).&amp;lt;br /&amp;gt;&amp;lt;strong&amp;gt;Methods&amp;lt;/strong&amp;gt; &amp;lt;br /&amp;gt;The study included fifteen patients with first or repeated ACS and treated/nontreated dyslipidaemia admitted to the Department of Cardiovascular Diseases of Clinical Hospital Centre Osijek between 1 January 2020 and 1 January 2021. The cut-off value of low-density lipoprotein (LDL)-C was 4.5mmol/L as a possible cut-off value for familial hypercholesterolemia presence. Data were collected from medical history and during patient&amp;amp;rsquo;s follow-up.&amp;lt;br /&amp;gt;&amp;lt;strong&amp;gt;Results&amp;lt;/strong&amp;gt; &amp;lt;br /&amp;gt;Included patients that fulfilled criteria were predominantly male &amp;amp;ndash; 14 (93%), mean age 61 years. The median level of LDL cholesterol at admission because of ACS was 5.14 mmol/L, whereas the follow-up level after one year was 2.27 mmol/L (p=0.001). At first follow-up, 7 (46%) patients were treated with atorvastatin 80 mg or rosuvastatin 40 mg, 3 (20%) atorvastatin 80mg + ezetimibe 10mg, 2 (13%) with rosuvastatin 40 mg+ ezetimibe 10 mg, other patients were treated with a lower dose of statin or ezetimibe. According to LDL-C profile and by calculating the&amp;lt;br /&amp;gt;Dutch Lipid Clinic Network Score, one (of 15) patient was categorized as having definite familial hypercholesterolemia and two (of 15) as having probable familial hypercholesterolemia leading to the use of triple hypolipidemic therapy (statin+ezetimibe+PCSK9 inhibitor) in 2 (13%) patients (one female and one male).&amp;lt;br /&amp;gt;&amp;lt;strong&amp;gt;Conclusion&amp;lt;/strong&amp;gt; &amp;lt;br /&amp;gt;LDL-C level of 4.5 mmol/L and higher represents an indication for screening for familial hypercholesterolemia in patients with ACS. The prevalence of familial hypercholesterolemia in ACS, estimated by the Dutch Lipid Clinic Network Score, could be higher than previously reported.&amp;lt;/p&amp;gt;

Modelling a two-stage adult population screen for autosomal dominant familial hypercholesterolaemia: cross-sectional analysis within the UK Biobank

BackgroundMost people with autosomal dominant familial hypercholesterolaemia (FH) remain undetected, which represents a missed opportunity for coronary heart disease prevention.ObjectiveTo evaluate the performance of two-stage adult population screening for FH.DesignUsing...

Applications of machine learning in familial hypercholesterolemia.

Familial hypercholesterolemia (FH) is a common hereditary cholesterol metabolic disease that usually leads to an increase in the level of low-density lipoprotein cholesterol in plasma and an increase in the risk of cardiovascular disease. The lack of disease screening and diagnosis often results in FH patients being unable to receive early intervention and treatment, which may mean early occurrence of cardiovascular disease. Thus, more requirements for FH identification and management have been proposed. Recently, machine learning (ML) has made great progress in the field of medicine, including many innovative applications in cardiovascular medicine. In this review, we discussed how ML can be used for FH screening, diagnosis and risk assessment based on different data sources, such as electronic health records, plasma lipid profiles and corneal radian images. In the future, research aimed at developing ML models with better performance and accuracy will continue to overcome the limitations of ML, provide better prediction, diagnosis and management tools for FH, and ultimately achieve the goal of early diagnosis and treatment of FH.

Incidence of familial hypercholesterolemia in patients with early manifestations of coronary artery disease: data from a Russian multicenter study and meta-analysis

Aim. To assess the possibility of familial hypercholesterolemia (FH) detection among patients with early coronary artery disease (CAD) in practice in comparison with data from different populations. Patients with early manifestations of CAD are a promising group for identifying a proband with FH and subsequent cascade screening. The question remains open about the sufficiency of clinical criteria for diagnosing this disease.Material and methods. We examined 651 patients with CAD manifestations aged £55 years in men and £60 years in women. FH was diagnosed according to the Dutch Lipid Clinic Network (DLCN) criteria, and cardiovascular risk was assessed using the Montreal-FH-SCOR E. In 35 phenotype-positive patients with FH, as well as 5 with lowdensity lipoprotein cholesterol levels ³5,5 mmol/l and 23 with age of manifestation of coronary artery disease £35 years, the coding sequence of the genes for apolipoprotein B (APOB), low-density lipoprotein receptor (LDLR), low-density lipoprotein receptor adapter protein 1 (LDLRAP1), proprotein convertase subtilisin/kexin type 9 (PCSK9).Results. Definite FH was in 8 (1,2%), probable in 27 (4.2%), possible in 339 (52,1%) patients, while 277 (42,5%) patients had DLCN score of &lt;3 points; 31 (88,6%), of 35 phenotype-positive patients had a high Montreal-FH-SCORE risk. Six carriers of pathogenic variants were identified, 2 of which were among phenotype-negative patients. A meta-analysis of 16 studies with 13065 patients (2012-2023) showed that the incidence of FH is 5,22 (4,848-5,619)% (fixed model) and 5,93 (4,528-7,515)% (random model).Conclusion. The use of existing diagnostic scales does not provide guaranteed detection of FH among patients with early CAD. It is likely that DLCN modification by additional gradation of the criterion for the age of CAD manifestation will help increase its diagnostic value.

Significance of lipids, lipoproteins, and apolipoproteins during the first 14-16 months of life.

The aims of this study were to investigate lipid parameters during the first 14-16 months of life, to identify influential factors, and to test whether high concentrations at birth predict high concentrations at 2- and 14-16 months. The Copenhagen Baby Heart Study, including 13,354 umbilical cord blood samples and parallel venous blood samples from children and parents at birth (n = 444), 2 months (n = 364), and 14-16 months (n = 168), was used. Concentrations of lipids, lipoproteins, and apolipoproteins in umbilical cord blood samples correlated highly with venous blood samples from newborns. Concentrations of low-density lipoprotein (LDL) cholesterol, non-high-density lipoprotein (HDL) cholesterol, apolipoprotein B, and lipoprotein(a) increased stepwise from birth to 2 months to 14-16 months. Linear mixed models showed that concentrations of LDL cholesterol, non-HDL cholesterol, and lipoprotein(a) above the 80th percentile at birth were associated with significantly higher concentrations at 2 and 14-16 months. Finally, lipid concentrations differed according to sex, gestational age, birth weight, breastfeeding, and parental lipid concentrations. Lipid parameters changed during the first 14-16 months of life, and sex, gestational age, birth weight, breastfeeding, and high parental concentrations influenced concentrations. Children with high concentrations of atherogenic lipid traits at birth had higher concentrations at 2 and 14-16 months. These findings increase our knowledge of how lipid traits develop over the first 14-16 months of life and may help in deciding the optimal child age for universal familial hypercholesterolaemia screening.