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首页> 外文期刊>Clinical chemistry and laboratory medicine: CCLM >High sensitivity immunoassays for C-reactive protein: promises and pitfalls.
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High sensitivity immunoassays for C-reactive protein: promises and pitfalls.

机译:C反应蛋白的高灵敏度免疫测定:前景和陷阱。

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摘要

C-reactive protein (CRP) has historically been measured in the clinical laboratory for the detection and monitoring of occult infection and inflammation, using immunoturbidimetric or immunonephelometric techniques. The recent commercial availability of automated high-sensitivity assays has enabled investigators to measure CRP at levels previously unattainable on a routine basis and to explore its clinical utility in apparently healthy individuals. CRP concentrations increased above the individuals' baselines but still within the normal reference intervals have been observed in association with increasing age, obesity, and smoking and in individuals with chronic infections such as Chlamydia pneumoniae and Helicobacter pylori. More importantly, however, data from prospective studies have shown CRP to be a strong and independent predictor of future coronary events in subjects with and without coronary heart disease. An algorithm for risk assessment of coronary risk employing both CRP and lipid concentrations has recently been proposed. However, in order for this approach to be incorporated into clinical practice, agreement among the various CRP methods must be achieved. Of critical importance to this process is a basic understanding of issues affecting assay performance. Factors such as assay precision, sensitivity, matrix effects, calibration, and standardization need to be addressed adequately by the in vitro diagnostic industry and the clinical laboratory.
机译:C反应蛋白(CRP)过去曾在临床实验室中使用免疫比浊法或免疫比浊法检测和检测隐匿性感染和炎症。自动化高灵敏度测定法的最新商业可用性使研究人员能够以常规方法无法达到的水平测量CRP,并探索其在显然健康的个体中的临床应用。 CRP浓度增加到个人基线以上,但仍与正常的参考区间相联系,这与年龄,肥胖,吸烟以及慢性感染(如肺炎衣原体和幽门螺杆菌)的个体相关。然而,更重要的是,前瞻性研究的数据表明,CRP是患有和不患有冠心病的受试者未来冠心病事件的有力且独立的预测指标。最近已经提出了一种使用CRP和脂质浓度进行冠心病风险评估的算法。但是,为了将该方法纳入临床实践,必须在各种CRP方法之间达成共识。对于此过程至关重要的是对影响测定性能的问题的基本了解。体外诊断行业和临床实验室需要充分解决诸如测定精度,灵敏度,基质效应,校准和标准化等因素。

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