Pilot study of universal screening of children and child-parent cascade testing for familial hypercholesterolaemia in Australia.

AIM: Familial hypercholesterolaemia (FH) is a common and treatable cause of premature coronary artery disease. However, the majority of individuals with FH remain undiagnosed. This study investigated the feasibility, acceptability and cost-effectiveness of screening children aged 1-2 years for FH at the time of an immunisation. METHODS: Children 1-2 years of age were offered screening for FH with a point-of-care total cholesterol (TC) test by capillary-collected blood sample at the time of an immunisation. An additional blood sample was taken to allow genetic testing if the TC level was above the 95th percentile (>5.3 mmol/L). Parents of children diagnosed with FH were offered testing. Following detection of the affected parent, cascade testing of their first-degree blood relatives was performed. RESULTS: We screened 448 children with 32 (7.1%) having a TC ≥ 5.3 mmol/L. The FH diagnosis was confirmed in three children (1:150 screened). Reverse cascade testing of other family members identified a further five individuals with FH; hence, eight new cases of FH were diagnosed from screening 448 children (1:56 screened). Ninety-six percent of parents would screen future children for FH. The approach was cost-effective, at $3979 per quality-adjusted life year gained. CONCLUSION: In Western Australia, universal screening of children aged 1-2 years for FH, undertaken at the time of an immunisation, was a feasible and effective approach to detect children, parents and other blood relatives with FH. The approach was acceptable to parents and is potentially a highly cost-effective detection strategy for families at risk of FH.

Essentials of a new clinical practice guidance on familial hypercholesterolaemia for physicians.

Familial hypercholesterolaemia (FH) is a common, heritable and preventable cause of premature coronary artery disease. New clinical practice recommendations are presented to assist practitioners in enhancing the care of all patients with FH. Core recommendations are made on the detection, diagnosis, assessment and management of adults, children and adolescents with FH. Management is under-pinned by the precepts of risk stratification, adherence to healthy lifestyles, treatment of non-cholesterol risk factors and appropriate use of low-density lipoprotein (LDL)-cholesterol-lowering therapies including statins, ezetimibe and proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors. The recommendations need to be utilised using judicious clinical judgement and shared decision-making with patients and families. New government-funded schemes for genetic testing and use of PCSK9 inhibitors, as well as the National Health Genomics Policy Framework, will enable adoption of the recommendations. However, a comprehensive implementation science and practice strategy is required to ensure that the guidance translates into benefit for all families with FH.

Lipoprotein(a) in Patients With Type 2 Diabetes and Premature Coronary Artery Disease in the Coronary Care Unit.

INTRODUCTION: Lipoprotein(a) [Lp(a)] and diabetes are independently associated with premature coronary artery disease (pCAD). However, there is an inverse relationship between Lp(a) concentration and type 2 diabetes (T2D) risk. We examine whether Lp(a) distribution in patients with pCAD differs between those with or without T2D, and whether elevated Lp(a) is associated with pCAD in patients with T2D. METHODS: Lp(a) concentration was measured in consecutive acute coronary syndrome (ACS) patients in two coronary care units (study one: ACS with or without diabetes, study two: ACS and diabetes). Elevated Lp(a) mass concentration was defined as ≥0.5 g/L and pCAD where CAD was diagnosed age <60 years. The association between elevated Lp(a) and pCAD was assessed using logistic regression. RESULTS: Of 449 patients, 233 (51.9%) had pCAD and 278 (61.9%) had T2D. In patients with pCAD, those with T2D had a significantly lower median Lp(a) concentration (0.13 g/L versus 0.27 g/L, p=0.004). In patients with T2D, elevated Lp(a) was significantly associated with pCAD (OR 2.419, 95% CI 1.513-3.867, p<0.001). After adjusting for gender, smoking, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and triglycerides, elevated Lp(a) remained significantly associated with pCAD (OR 2.895, 95% CI 1.427-5.876, p=0.003) in patients with T2D. CONCLUSIONS: In coronary care patients with pCAD, patients with T2D had lower Lp(a) concentrations than those without T2D. Despite this, elevated Lp(a) remained predictive of pCAD in patients with T2D. Measurement of Lp(a) should be considered in younger adults with T2D to identify who may benefit from earlier preventative therapies to reduce pCAD burden.

Integrated Guidance for Enhancing the Care of Familial Hypercholesterolaemia in Australia.

Familial hypercholesterolaemia (FH) is a dominant and highly penetrant monogenic disorder present from birth that markedly elevates plasma low-density lipoprotein (LDL)-cholesterol concentration and, if untreated, leads to premature atherosclerosis and coronary artery disease (CAD). There are approximately 100,000 people with FH in Australia. However, an overwhelming majority of those affected remain undetected and inadequately treated, consistent with FH being a leading challenge for public health genomics. To further address the unmet need, we provide an updated guidance, presented as a series of systematically collated recommendations, on the care of patients and families with FH. These recommendations have been informed by an exponential growth in published works and new evidence over the last 5 years and are compatible with a contemporary global call to action on FH. Recommendations are given on the detection, diagnosis, assessment and management of FH in adults and children. Recommendations are also made on genetic testing and risk notification of biological relatives who should undergo cascade testing for FH. Guidance on management is based on the concepts of risk re-stratification, adherence to heart healthy lifestyles, treatment of non-cholesterol risk factors, and safe and appropriate use of LDL-cholesterol lowering therapies, including statins, ezetimibe, proprotein convertase subtilisin/kexin type 9 inhibitors and lipoprotein apheresis. Broad recommendations are also provided for the organisation and development of health care services. Recommendations on best practice need to be underpinned by good clinical judgment and shared decision making with patients and families. Models of care for FH need to be adapted to local and regional health care needs and available resources. A comprehensive and realistic implementation strategy, informed by further research, including assessments of cost-benefit, will be required to ensure that this new guidance benefits all Australian families with or at risk of FH.

Gaps in the Care of Familial Hypercholesterolaemia in Australia: First Report From the National Registry.

BACKGROUND: Familial hypercholesterolaemia (FH) is under-diagnosed and under-treated worldwide, including Australia. National registries play a key role in identifying patients with FH, understanding gaps in care and advancing the science of FH to improve care for these patients. METHODS: The FH Australasia Network has established a national web-based registry to raise awareness of the condition, facilitate service planning and inform best practice and care services in Australia. We conducted a cross-sectional analysis of 1,528 FH adults enrolled in the registry from 28 lipid clinics. RESULTS: The mean age at enrolment was 53.4±15.1 years, 50.5% were male and 54.3% had undergone FH genetic testing, of which 61.8% had a pathogenic FH-causing gene variant. Only 14.0% of the cohort were family members identified through cascade testing. Coronary artery disease (CAD) was reported in 28.0% of patients (age of onset 49.0±10.5 years) and 64.9% had at least one modifiable cardiovascular risk factor. The mean untreated LDL-cholesterol was 7.4±2.5 mmol/L. 80.8% of patients were on lipid-lowering therapy with a mean treated LDL-cholesterol of 3.3±1.7 mmol/L. Among patients receiving lipid-lowering therapies, 25.6% achieved an LDL-cholesterol target of <2.5 mmol/L without CAD or <1.8 mmol/L with CAD. CONCLUSION: Patients in the national FH registry are detected later in life, have a high burden of CAD and risk factors, and do not achieve guideline-recommended LDL-cholesterol targets. Genetic and cascade testing are under-utilised. These deficiencies in care need to be addressed as a public health priority.

Widening the spectrum of genetic testing in familial hypercholesterolaemia: Will it translate into better patient and population outcomes?

Familial hypercholesterolaemia (FH) is caused by pathogenic variants in LDLR, APOB or PCSK9. Impaired low-density lipoprotein (LDL) receptor function leads to decreased LDL catabolism and premature atherosclerotic cardiovascular disease (ASCVD). Thousands of LDLR variants are known, but assignation of pathogenicity requires accurate phenotyping, family studies and assessment of LDL receptor function. Precise, genetic diagnosis of FH using targeted next generation sequencing allows for optimal treatment, distinguishing FH from pathogenically distinct disorders requiring different treatment. Polygenic hypercholesterolaemia resulting from an accumulation of LDL cholesterol-raising single nucleotide polymorphisms (SNPs) could also be suspected by this approach. Similarly, ASCVD risk could be estimated by broader sequencing of cholesterol and non-cholesterol-related genes. Both of these areas require further research. The clinical management of FH, focusing on the primary or secondary prevention of ASCVD, has been boosted by PCSK9 inhibitor therapy. The efficacy of PCSK9 inhibitors in homozygous FH may be partly predicted by the LDLR variants. While expanded genetic testing in FH is clinically useful in providing an accurate diagnosis and enabling cost-effective testing of relatives, further research is needed to establish its value in improving clinical outcomes.

A genetic risk score predicts coronary artery disease in familial hypercholesterolaemia: enhancing the precision of risk assessment.

Familial hypercholesterolaemia (FH) is associated with increased risk of coronary artery disease (CAD); however, risk prediction and stratification remain a challenge. Genetic risk scores (GRS) may have utility in identifying FH patients at high CAD risk. The study included 811 patients attending the lipid disorders clinic at Royal Perth Hospital with mutation-positive (n = 251) and mutation-negative (n = 560) FH. Patients were genotyped for a GRS previously associated with CAD. Associations between the GRS, clinical characteristics, and CAD were assessed using regression analyses. The average age of patients was 49.6 years, and 44.1% were male. The GRS was associated with increased odds of a CAD event in mutation-positive [odds ratio (OR) = 3.3; 95% confidence interval (CI) = 1.3-8.2; P = .009] and mutation-negative FH patients (OR = 1.8; 95% CI = 1.0-3.3; P = .039) after adjusting for established predictors of CAD risk. The GRS was associated with greater subclinical atherosclerosis as assessed by coronary artery calcium score (P = .039). A high GRS was associated with CAD defined clinically and angiographically in FH patients. High GRS patients may benefit from more intensive management including lifestyle modification and aggressive lipid-lowering therapy. Further assessment of the utility of the GRS requires investigation in prospective cohorts, including its role in influencing the management of FH patients in the clinic.

Short- and long-term biological variation of cardiac troponin I in healthy individuals, and patients with end-stage renal failure requiring haemodialysis or cardiomyopathy.

Objectives High-sensitivity (hs) cardiac troponin (cTn) assays can quantitate small fluctuations in cTn concentration. Determining biological variation allows calculation of reference change values (RCV), to define significant changes. We assessed the short- and long-term biological variation of cardiac troponin I (cTnI) in healthy individuals and patients with renal failure requiring haemodialysis or cardiomyopathy. Methods Plasma samples were collected hourly for 4 h and weekly for seven further weeks from 20 healthy individuals, 9 renal failure patients and 20 cardiomyopathy patients. Pre- and post-haemodialysis samples were collected weekly for 7 weeks. Samples were analysed using a hs-cTnI assay (Abbott Alinity ci-series). Within-subject biological variation (CVI), analytical variation (CVA) and between-subject biological variation (CVG) was used to calculate RCVs and index of individuality (II). Results For healthy individuals, CVI, CVA, CVG, RCV and II values were 8.8, 14.0, 43.1, 45.8% and 0.38 respectively for short-term, and 41.4, 14.0, 25.8, 121.0% and 1.69 for long-term. For renal failure patients, these were 2.6, 5.8, 50.5, 17.6% and 0.30 respectively for short-term, and 19.1, 5.8, 11.2, 55.2% and 1.78 for long-term. For cardiomyopathy patients, these were 4.2, 10.0, 65.9, 30.0% and 0.16 respectively for short-term, and 17.5, 10.0, 63.1, 55.8% and 0.32 for long-term. Mean cTnI concentration was lower post-haemodialysis (15.2 vs. 17.8 ng/L, p < 0.0001), with a 16.9% mean relative change. Conclusions The biological variation of cTnI is similar between end-stage renal failure and cardiomyopathy patients, but proportionately greater in well-selected healthy individuals with very low baseline cTnI concentrations.

Effect of Lipoprotein(a) on the Diagnosis of Familial Hypercholesterolemia: Does It Make a Difference in the Clinic?

BACKGROUND: Diagnostic tools for familial hypercholesterolemia (FH) rely on estimation of LDL cholesterol concentration. However, routine measurement or calculation of LDL cholesterol concentration using the Friedewald equation contains a cholesterol contribution from lipoprotein(a) [Lp(a)]. We investigated whether Lp(a) influences the phenotypic diagnosis of FH by commonly used clinical criteria. METHODS: A cohort of 907 adult index patients attending a clinic were studied. The Dutch Lipid Clinic Network (DLCN) and Simon Broome (SB) diagnostic criteria were estimated before and after adjusting LDL cholesterol concentration for the cholesterol content (30%) of Lp(a). Diagnostic reclassification rates and area under the ROC (AUROC) curves in predicting an FH mutation were also compared. RESULTS: Seventy-four patients defined by DLCN criteria (8.2%) and 207 patients defined by SB criteria (22.8%) were reclassified to "unlikely" FH after adjusting LDL cholesterol for Lp(a) cholesterol. The proportion of FH patients defined by DLCN (probable/definite) and SB (possible/definite) criteria decreased significantly in patients with increased Lp(a) (>0.5 g/L; n = 330) after Lp(a) cholesterol adjustment (P < 0.01). The overall reclassification rate was significantly higher in patients with Lp(a) concentration >1.0 g/L (P < 0.001). The AUROC curve for LDL cholesterol concentration ≥191 mg/dL (≥5.0 mmol/L), DLCN criteria, and SB criteria in predicting an FH mutation increased significantly after adjustment (P < 0.001). There was no significant difference in AUROC curve before and after Lp(a) cholesterol adjustment at an LDL cholesterol concentration ≥251 mg/dL (≥6.5 mmol/L). CONCLUSIONS: Adjusting LDL cholesterol concentration for Lp(a) cholesterol improves the diagnostic accuracy of DLCN and SB criteria, especially with Lp(a) >1.0 g/L and LDL cholesterol <251 mg/dL (<6.5 mmol/L). Lp(a) should be measured in all patients suspected of having FH.

Dyslipidaemia in adults with type 1 diabetes-when to treat?

Dyslipidaemia is an important modifiable risk factor contributing to the increased risk of atherosclerotic cardiovascular disease in diabetes. However, determining when to initiate statin therapy in young adults with type 1 diabetes mellitus (T1DM) can often be challenging. This is due to a relative paucity of data in this area to guide management and for developing T1DM-specific risk engines. Current recommendations from international guidelines offer differing approaches to cardiovascular risk stratification and management of dyslipidaemia in T1DM. We present a clinical vignette and comment on the use of nontraditional methods of cardiovascular risk stratification. The strategy for managing dyslipidaemia in young T1DM should be individualized, and recommendations from guidelines should serve to inform clinical judgement.

The Present and the Future of Genetic Testing in Familial Hypercholesterolemia: Opportunities and Caveats.

PURPOSE OF REVIEW: We summarize recent advances in the understanding of genetic testing in familial hypercholesterolemia (FH), the use of expanded FH next-generation sequencing panels, and directions for future research. RECENT FINDINGS: The uptake of massively parallel sequencing in research and diagnostic laboratories has enabled expanded testing for FH and its phenocopies, with the added advantage that copy number variants can be detected. However, increasing the number of genes tested increases the number of variants detected, which may or may not be pathogenic. Guidelines for assessing variant pathogenicity will assist the provision of accurate and consistent interpretations between centers. Expanded FH panels can identify mutations in other relevant genes, such as APOE, LIPA, and ABCG5/8 and enable the identification of polygenic hypercholesterolemia using LDL genetic risk scores. Increased awareness and understanding of genomics by the public, patients, and health professionals is critical for effectively translating into practice new advances in genetic testing for FH.

Parent-child genetic testing for familial hypercholesterolaemia in an Australian context.

AIM: The aim of this study was to evaluate the clinical outcome of parent-child testing for familial hypercholesterolaemia (FH) employing genetic testing and the likely additional cost of treating each child. METHODS: Parent-child testing for gene variants causative of FH was carried out according to Australian guidelines. The number of new cases detected, the low-density lipoprotein (LDL)-cholesterol that best predicted a mutation and the proportional reduction in LDL-cholesterol following statin treatment was evaluated. Treatment costs were calculated as the cost per mmol/L reduction in LDL-cholesterol. RESULTS: A total of 126 adult patients, known to have a pathogenic mutation causative of FH, and their children were studied. From 244 children identified, 148 (60.7%) were genetically screened; 84 children were identified as mutative positive (M+) and 64 as mutative negative. Six of the M+ children were already on statin treatment; 40 were subsequently treated with low-dose statins, with LDL-cholesterol falling significantly by 38% (P < 0.001). The estimated cost per mmol/L reduction of LDL-cholesterol of a child receiving statins from ages 10 to 18 years is AU$1361, which can potentially be cost-effective. An LDL-cholesterol threshold of 3.5 mmol/L had a sensitivity of 92.8% and specificity of 96.6% for the detection of a mutation. CONCLUSION: Genetic testing of children of affected parents with FH is an effective means of detecting new cases of FH. Cascade testing can enable early statin therapy with significant reductions in LDL-cholesterol concentration.

Beyond cascade screening: detection of familial hypercholesterolaemia at childhood immunization and other strategies.

PURPOSE OF REVIEW: Familial hypercholesterolaemia is a common genetic disorder that accelerates premature coronary heart disease. Although effective treatments are available, the majority of individuals remain undiagnosed. We review new evidence for improving the detection of familial hypercholesterolaemia. RECENT FINDINGS: Recent studies have demonstrated that universal screening of children for familial hypercholesterolaemia may be highly effective at the time of immunization if combined with reverse cascade testing of adult family members, who have a more immediate risk of a coronary event. Alerts on laboratory reports and the application of bioinformatics to electronic health records may also be useful for identifying familial hypercholesterolaemia in community settings. Effective detection, diagnosis, and codification of familial hypercholesterolaemia are essential for the development of registries. SUMMARY: Although the cost-effectiveness of screening programs for familial hypercholesterolaemia in childhood remains to be established, combining universal and reverse cascade screening, complemented by opportunistic identification of individuals in high-risk settings, use of laboratory alerts, and screening of electronic health records are likely to have a high yield in the detection of familial hypercholesterolaemia in the community.

The Role of Sympatho-Inhibition in Combination Treatment of Obesity-Related Hypertension.

Obesity-related hypertension is commonly characterized by increased sympathetic nerve activity and is therefore acknowledged as a predominantly neurogenic form of hypertension. The sustained sympatho-excitation not only contributes to the rise in blood pressure but also elicits a vicious cycle which facilitates further weight gain and progression of associated co-morbidities. While weight loss and exercise remain at the forefront of therapy for obesity and obesity-related hypertension, the difficulties in achieving and maintaining long-term weight loss with lifestyle measures and the variable blood pressure response to weight loss often necessitate prescription of antihypertensive drug therapy. Remarkably, there are no specific recommendations for pharmacologic treatment for obese patients with arterial hypertension in any of the current guidelines and general principles of antihypertensive treatment are applied. The use of ß-blockers and diuretics is commonly discouraged as first- or second-line therapy due to their unfavorable metabolic effects. This review explores evolving therapeutic strategies which based on their interference with pathophysiologic mechanism relevant in the context of obesity may guide optimized treatment of obesity-related hypertension.

Progress in the care of familial hypercholesterolaemia: 2016.

Familial hypercholesterolaemia (FH) is the most common autosomal dominant condition, with a prevalence of between one in 200 and one in 350 people in the general population. Untreated FH is associated with premature atherosclerotic cardiovascular disease (CVD). The prevalence of homozygous or compound heterozygous FH is now considered to be about one in 300 000 people. Treating children with FH reduces progression of atherosclerotic CVD and future CVD events. Most individuals with FH are undiagnosed, which together with the recent frequency data in the population and in individuals with premature coronary disease creates a public health challenge and mandates a key role for primary care. Childhood is the optimal period for detecting FH, since low-density lipoprotein cholesterol (LDL-c) concentrations better differentiate affected from unaffected individuals. In an Australian community setting, over 70% of adults with an LDL-c level ≥ 6.5 mmol/L have clinical FH; of these, 30% have a detectable mutation. The community laboratory has an important role in identifying FH, with interpretive comments leading to additional reductions in LDL-c concentrations, and a phone call from the pathologist to the general practitioner improving detection of cases. Cascade screening using DNA testing is cost-effective and acceptable to screenees. Next generation genetic sequencing may differentiate people with polygenic hypercholesterolaemia alone from those with FH. Smoking, hypertension, elevated lipoprotein(a) levels, chronic kidney disease and diabetes are additional atherosclerotic CVD risk factors in FH. Equations for assessing absolute risk of CVD in primary prevention underestimate risk in FH. The adult LDL-c goal is a greater than 50% reduction in LDL-c levels, followed by a target of < 2.5 mmol/L, or < 1.8 mmol/L for individuals with CVD or other CVD risk factors. Proprotein convertase subtilisin/kexin type 9 inhibitors significantly reduce LDL-c and lipoprotein(a) levels in people with FH. Registries are essential for improving the care of people with FH.

The necessity of identifying the basal glucose set-point in the IVGTT for patients with Type 2 Diabetes.

BACKGROUND: The model-based dynamic insulin sensitivity and secretion test (DISST) uses fasting glucose (G 0 ) as the basal glucose (G B ) concentration when assessing insulin sensitivity (SI). However, this model was developed in a healthy, normoglycaemic cohort. We sought to determine the suitability the DISST model has for individuals with established type 2 diabetes (T2D). METHODS: 14 participants with established T2D were recruited to take part in a dietary intervention study. Insulin-modified intravenous glucose tolerance tests (IM-IVGTT) were undertaken at week 0, 12 and 24 and were used with DISST model to identify G B . A total of 36 tests were conducted across 12 participants throughout the study. Measured G 0 and identified G B values were compared using a Kolmogorov-Smirnov (KS) and signed rank (RS) test for the cohort. RESULTS: There were significant differences between the G 0 and identified G B values in this cohort (prs and pks < 0.0001), although both values were well correlated (R = 0.70). The residual plot demonstrates that the modified model captures the behaviour of the participants more accurately than the original model. CONCLUSIONS: This analysis has shown that G B is an important variable for modelling the glycaemic behaviour in T2D. These findings suggest that the original DISST model, while appropriate for normoglycaemic cohorts, needs to model basal glucose level as a variable for assessing individuals with established T2D.

Systematic detection of familial hypercholesterolaemia in primary health care: a community based prospective study of three methods.

BACKGROUND: Familial hypercholesterolaemia (FH), a co-dominantly inherited disease of cholesterol that markedly increases risk of premature coronary artery disease (CAD), is significantly under-diagnosed. Primary health care is increasingly seen as a setting in which to increase the detection rate of index cases. We report a prospective study of three methods of case detection using pre-existing primary health care services in one community. METHODS: Three methods of case detection were tested: pathology laboratory database search, workplace health checks and general practice database search. People identified at risk by each of the three screening methods were offered detailed assessment for FH using the Dutch Lipid Clinic Network Criteria score (DLCNCS). RESULTS: 1316 participants underwent detailed assessment for FH. The proportion of at risk people identified for further assessment was in decreasing order: GP (659 of 2494, 26.4%), workplace assessment (60 of 268, 22.4%) and pathology database (597 of 4517, 13.2%) p<0.001. Eight-six (6.5%) were identified as clinical FH (DLCNCS>5) of which 59 had genetic testing and 11 of 59, 18.6%, were confirmed to have a mutation causing FH. Pathology database detected the greatest number of clinical FH (51 of 86, 59.3%) and mutation positive participants (8 of 11, 72.7%). CONCLUSION: Screening within primary health care was successful in detecting participants with FH. An integrated case detection model combining screening of pathology and GP databases is proposed.

Can patients be accurately assessed for familial hypercholesterolaemia in primary care?

OBJECTIVE: Familial Hypercholesterolaemia (FH) is the most prevalent monogenic condition causing premature coronary artery disease, although the majority of individuals remain undiagnosed. We sought to investigate whether individuals with FH could be accurately identified in primary care. METHODS: The Dutch Lipid Clinic Network Criteria scores (DLCNCS) assessed by general practitioners (GPs) were compared with DLCNCS assessed by specialists using primary care data in 153 individuals. Thirty individuals with DLCNCS ≥4 underwent specialist review and genetic testing. Clinical FH was defined as DLCNCS ≥6, encompassing the probable and definite FH categories. RESULTS: GPs correctly classified 39 (86.7%) individuals with 'clinical FH', and 32 (94%) with 'unlikely FH' relative to specialists. Lin's concordance correlation coefficient was high (0.832 (0.783 - 0.881), p< 0.001) between specialist and GPs, with an overall agreement of 83.6%, κ 0.744 (0.642 - 0.831). After specialist review, 15 individuals (50%) were diagnosed with clinical FH, four (26.7%) had FH mutations. GPs correctly classified 12 (80%) of these individuals with clinical FH. CONCLUSION: GPs can accurately identify individuals at high and low risk of FH using the DLCNCS, which may augment opportunistic FH detection in the community. Increased education may enhance the diagnostic accuracy of FH in primary care.

Optimising the detection and management of familial hypercholesterolaemia: central role of primary care and its integration with specialist services.

Familial hypercholesterolaemia (FH) is the most common monogenic lipid disorder associated with premature coronary heart disease (CHD). However, the majority of people with FH are undiagnosed or undertreated. Early cholesterol lowering therapy reduces cardiovascular disease mortality in FH. Low awareness and knowledge of FH in specialty and general practice highlights the need for strategies to improve the detection and management of FH. We present an algorithm describing a multidisciplinary approach to FH detection and management. We highlight the role of primary care, and where GPs can work with preventive cardiologists to improve care of FH. Novel strategies to detect index cases with FH are presented including the community laboratory, highlighting patients at high risk of FH, and targeted FH detection through searching the general practice database. General practitioners request over 90% of LDL cholesterol measurements in the community. Once an individual with FH is detected only a small proportion of patients require specialty management with the majority of patients suitably managed in primary care. However, it is crucial to screen family members, as 50% of first-degree family members are expected to have FH due to the autosomal dominant inheritance.