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The impact of different point-of-care testing lipid analysers on cardiovascular disease risk assessment

机译:不同的即时检验脂质分析仪对心血管疾病风险评估的影响

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Aims Lipid point-of-care testing (POCT) analysers are being used to screen target populations to identify individuals at high risk of developing cardiovascular disease (CVD) as part of the National Health Service (NHS) Health Checks programme. We evaluated the performance of the Cholestech LDX and CardioChek PA POCT analysers against laboratory methods in CVD risk assessment. Methods Ten-year QRISK2, Joint British Societies' Ⅱ (JBSⅡ), and Framingham CVD risk scores were calculated for subjects recruited from Wolverhampton City PCT community NHS Health Check clinics. CVD risk scores derived using POCT capillary whole blood total cholesterol and HDL-cholesterol measurements were compared with those derived from the laboratory analysis of paired venous serum samples. Data from subjects with diabetes, overt CVD, and those who did not meet the risk algorithm age criteria were excluded. Results All subjects classified as high risk (risk score >20%) by the three risk algorithms on the basis of the laboratory results were correctly identified by the LDX. One (2.2%) and four (7.0%) moderate-risk subjects were misclassified by the LDX as high risk, using the JBSⅡ and Framingham risk algorithms, respectively. The CardioChek identified all subjects classed as high risk by QRISK2, but failed to identify 6/31 (19.4%) and 3/19 (15.8%) of subjects classed as high risk by the Framingham and JBSⅡ algorithms, respectively. The CardioChek, however, did not misclassify any moderate-risk subjects as high risk. Conclusions Identification of subjects at risk of CVD depends on the cardiovascular risk algorithm and also on the performance of the POCT device.
机译:目的作为国家健康服务(NHS)健康检查计划的一部分,脂质检测点测试(POCT)分析仪正用于筛选目标人群,以识别罹患心血管疾病(CVD)的高风险人群。在CVD风险评估中,我们对照实验室方法评估了Cholestech LDX和CardioChek PA POCT分析仪的性能。方法对从沃尔夫汉普顿市PCT社区NHS健康检查诊所招募的受试者计算十年QRISK2,英国联合学会Ⅱ(JBSⅡ)和弗雷明汉CVD风险评分。将使用POCT毛细血管全血总胆固醇和HDL-胆固醇测量得出的CVD风险评分与通过配对静脉血清样品的实验室分析得出的CVD风险评分进行比较。排除了患有糖尿病,明显CVD的受试者以及不符合风险算法年龄标准的受试者的数据。结果LDX正确识别了根据实验室结果被三种风险算法归类为高风险(风险得分> 20%)的所有受试者。分别使用JBSⅡ和Framingham风险算法,LDX将1名(2.2%)和4名(7.0%)中度风险对象误分类为高风险。 CardioChek识别了所有被QRISK2分类为高风险的受试者,但未能分别识别出被Framingham和JBSⅡ算法分类为高危险的受试者的6/31(19.4%)和3/19(15.8%)。但是,CardioChek并未将任何中等风险的受试者归类为高风险。结论对具有CVD风险的受试者的识别取决于心血管风险算法以及POCT设备的性能。

著录项

  • 来源
    《Journal of Clinical Pathology》 |2014年第6期|535-539|共5页
  • 作者单位

    Department of Clinical Chemistry, New Cross Hospital, Wolverhampton, West Midlands WV10 0QP, UK;

    Department of Clinical Chemistry, New Cross Hospital, Wolverhampton, West Midlands, UK;

    Department of Clinical Chemistry, New Cross Hospital, Wolverhampton, West Midlands, UK,Research Institute, Healthcare Sciences, Wolverhampton University, Wolverhampton, West Midlands, UK;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 01:33:17

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