Background: The Department of Health launched a cardiovascular disease risk assessment initiative with particular reference to reducing health inequalities in ethnic minorities. Collaboration between HEART UK, Royal Free Hampstead NHS Trust and Hindu Temples resulted in vascular screening in North London. Methods: Subjects of South Asian origin were screened. A full lipid profile and glucose were measured using a point of care testing (POCT) Cholestech LDX analyser (LDX). Venous samples were analysed in our hospital laboratory. Results:The results (215 men; 191 women) were divided into tertiles and Bland-Altman plots were used to assess agreement. At high-density lipoprotein cholesterol (HDL-C) concentrations ,1.0 mmol/L the LDX underestimated values by 20.2 mmol/L (P,0.0001). At HDL-C concentrations .1.3 mmol/L this bias disappeared. For total cholesterol the concentration-dependent negative bias was evident at concentrations of ,4.1 mmol/L (P , 0.0001). This bias was less evident at higher concentrations. A similar pattern was seen for low-density lipoprotein cholesterol. There were also small variations in glucose and triglyceride values. However, there was excellent agreement in calculated cardiovascular disease risk using kappa analysis for JBS2, QRISK2, ETHRISK and Framingham (k ¼ 0.86, 0.92, 0.94 and 0.88, respectively). This was a high-risk population since 9.7 -19.4% had a !20% 10-y probability of a vascular event depending on the risk engine and assay method used. The corresponding values for intermediate risk (11 -19%) were 18.6-25.7%. Conclusions: There was a minimum mismatch irrespective of the type of risk calculator used. POCT measurements are adequate for the

Background A 'one stop shop' model for multifactorial risk factor management in a culturally sensitive environment may improve cardiovascular disease and diabetes prevention. A full biochemical profile for cardiovascular disease risk assessment includes a lipid profile, glucose, glycated haemoglobin and urine albumin creatinine ratio measurements. This may require the use of more than one point of care testing instrument. Methods Individuals who attended a community cardiovascular disease risk screening or an audit programme of the diabetic care pathway in the community were sampled. Bland-Altman and Deming regression plots were used to assess agreement between methods for total cholesterol, high-density lipoprotein cholesterol, triglycerides, glycated haemoglobin and urine albumin creatinine ratio. Results There was good agreement between the Afinion AS100 analyser, Cholestech LDX and the laboratory methods for total cholesterol, high-density lipoprotein cholesterol and triglycerides ( n = 232). The Afinion AS100 agreed well with the laboratory method for glycated haemoglobin ( n = 255) and urine albumin creatinine ratio ( n = 176). There was statistically significant bias ( p = 0.03 to <0.0001) for several measurements. However, these were judged not to be clinically relevant. Specifically for the total cholesterol and high-density lipoprotein cholesterol values, we obtained good agreement (weighted kappa: 0.91 and 0.94 for the Afinion AS100 vs. Cholestech LDX and Afinion AS100 vs. laboratory method, respectively) for cardiovascular disease risk calculation using QRISK2. Conclusions Point of care testing can support a 'one stop shop' approach by providing rapid, reliable results. The Afinion AS100 analyser provides a multi-analyte platform and compares well with laboratory-based methods and another well-established point of care testing analyser.

Summary 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.

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