Devaki R. Nair

Background: Evidence from imaging studies suggests a high prevalence of coronary artery disease (CAD) in patients with type 2 diabetes mellitus (T2DM). However, there are no criteria for initiating screening for CAD in this population. The current study investigated whether clinical and demographic characteristics can be used to predict significant CAD in patients with T2DM. Methods: Computed tomography coronary angiography (CTCA) and laboratory assessments were performed in 259 patients diagnosed with T2DM attending clinics in Northwest London, UK. Coronary artery calcium (CAC) was calculated during CTCA. Significant plaque was defined as one causing more than 50% luminal stenosis. Associations between groups and variables were evaluated using Student’s t test, Chi-square tests and univariate and multivariate regression analysis. P < 0.05 was considered statistically significant. Results: Among patients with a median duration of T2DM of 13 years and a mean age of 62.0 years, median CAC score was 105.91 Agatston Units. In a multivariate analyses, duration of diabetes, CAC score and the presence and number of coronary artery plaques and presence of significant plaque were significant predictors of cardiovascular adverse events. Systolic blood pressure (SBP) had borderline significance as a predictor of cardiovascular events (p = 0.05). In a receiver operating characteristic curve (ROC) analysis, duration of diabetes of > 10.5 years predicted significant CAD (sensitivity, 75.3%; specificity 48.2%). Area under the ROC curve was 0.67 when combining duration of T2DM > 10.5 years and SBP of > 139 mm Hg. Adverse cardiovascular events after a median follow-up of 22.8 months were also significantly higher in those with duration of T2DM > 10.5 years and SBP > 140 mm Hg (log rank p = 0.02 and 0.009, respectively). Conclusions: Routine screening for CAD using CTCA should be considered for patients with a diagnosis of T2DM for > 10.5 years and SBP > 140 mm Hg. Trial registration Clinicaltrials.gov identifier: NCT02109835, 10 April 2014 (retrospectively registered)

Purpose of the Review Identification of loci and common single-nucleotide polymorphisms (SNPs) that have modest effects on plasma lipids have been used to confirm or refute the causal role of lipid traits in the development of coronary heart disease (CHD), and as tools to identify individuals with polygenic hypercholesterolemia. Recent Findings Several groups have reported on the use of SNP scores in distinguishing individuals with a clinical diagnosis of familial hypercholesterolemia (FH) with a monogenic or polygenic etiology. We review evidence that those with monogenic FH have worse prognosis and discuss the possible mechanisms for this and their management. Summary Individuals with a clinical phenotype of FH and a monogenic cause are at greater risk of CHD than those where no causative mutation can be found. The patients with polygenic hypercholesterolemia would not require elaborate cascade screening or secondary care input for their management.

Background: A “one stop shop” model for multifactorial risk factor management in a culturally sensitive environment may improve cardiovascular disease (CVD) and diabetes prevention. A full biochemical profile for CVD risk assessment includes a lipid profile, glucose, glycated haemoglobin (HbA_1c) and urine albumin creatinine ratio (UACR) measurements. This may require the use of more than one point of care testing (POCT) instrument.

Familial hypercholesterolaemia (FH) is a common autosomal-dominant disorder in most European countries. Patients with FH are characterised by a raised level of low-density lipoprotein cholesterol and a high risk of premature coronary heart disease (CHD). Currently there is no consensus regarding the clinical utility to predict future coronary events or testing for the presence of subclinical atherosclerotic disease in asymptomatic patients with FH. Family screening of patients with FH as recommended by the UK National Institute of Health and Care Excellence guideline would result in finding many young individuals with a diagnosis of FH who are clinically asymptomatic. The traditional CHD risk scores, that is, the Framingham score, are insufficient in risk prediction in this group of young individuals. In addition, a better understanding of the genetic aetiology of the FH phenotype and CHD risk in monogenic FH and polygenic hypercholesterolaemia is needed. Non-invasive imaging methods such as carotid intima-media thickness measurement might produce more reliable information in finding high-risk patients with FH. The potential market authorisation of novel therapeutic agents such as PCSK9 monoclonal inhibitors makes it essential to have a better screening programme to prioritise the candidates for treatment with the most severe form of FH and at higher risk of coronary events. The utility of new imaging techniques and new cardiovascular biomarkers remains to be determined in prospective trials.

High density lipoprotein cholesterol (HDL-C) and its related apolipoproteins form part of the reverse cholesterol transport system that removes excessive cholesterol from the periphery to the liver. Many transport proteins and enzymes that are involved in this process are susceptible to genetic defects that influence plasma HDL-C concentrations and HDL function. The HDL-C concentration in the blood may not be as important as the function of this lipid fraction. The genetic defects affecting plasma HDL-C concentrations do not always show a consistent relationship with atherosclerosis. Familial hypoalphalipoproteinaemia is associated with mutations in genes responsible for the transport proteins or the enzymes involved in the biogenesis of HDL-C. Inheritance of a Milano mutation of apolipoprotein A1 decreases the risk of atherosclerotic disease despite low circulating levels of HDL-C. Tangier disease and Fish Eye disease are caused by mutations in the ATP binding cassette A1 (ABCA1), a transport protein, and lecithin cholesterol acyl transferase (LCAT), an enzyme, involved in the esterification of cholesterol, respectively. Patients with these conditions have very low levels of HDL-C concentration. The association between both these conditions and the risk of cardiovascular disease (CVD) is variable and inconsistent. Understanding the molecular mechanism of HDL biogenesis not only helped in defining the pathophysiology of low and high HDL-C syndromes, but also in developing new treatment options to raise HDL-C levels.

Aims: South Asians in the UK have high cardiovascular disease (CVD) mortality. Therefore, this population is likely to benefit from screening programmes. To address this issue, an initiative was set up between the Royal Free Hampstead NHS Trust, H.E.A.R.T. UK and two Hindu temples in North London to provide screening for CVD risk factors in the community. Methods: A total of 434 individuals of Gujarati Indian origin were screened. Measurements included anthropometry, blood pressure and lipid profiles. Three different scoring systems: Framingham, Joint British Societies’ 2 and QRISK2 were used to estimate CVD risk. Results: At least one modifiable CVD risk factor was present in 92% of the individuals screened; 52% were hypertensive, 40% were obese, 75% had central adiposity and 10% had total cholesterol/high density lipoprotein cholesterol ratio > 6. In addition, 37% of a subset of 104 individuals with a fasting sample fulfilled the diagnostic criteria for metabolic syndrome. Overall, 15% of participants screened had a 10‐year CV risk score > 20% using QRISK2. The three risk score calculators showed moderate agreement: QRISK2 and JBS2 (kappa 0.61, 95% CI 0.54–0.67), QRISK2 and Framingham (kappa 0.63, 95% CI 0.57–0.70) and JBS2 and Framingham (kappa 0.70, 95% CI 0.64–0.75). Conclusions: A high prevalence of modifiable risk factors for CVD was detected in the population screened.