首页> 外文期刊>Journal of atherosclerosis and thrombosis. >Improvement in Japanese clinical laboratory measurements of total cholesterol and HDL-cholesterol by the US Cholesterol Reference Method Laboratory Network.
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Improvement in Japanese clinical laboratory measurements of total cholesterol and HDL-cholesterol by the US Cholesterol Reference Method Laboratory Network.

机译:美国胆固醇参考法实验网络的日本临床实验室测量总胆固醇和HDL-胆固醇的改善。

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BACKGROUND: Accurate and precise measurements of total cholesterol (TC) and HDL-cholesterol (HDL-C) are necessary for effective diagnosis and treatment of lipid disorders. We studied the impact of TC certification and HDL-C evaluation in Japanese clinical laboratories to standardize their measurements. METHODS: We selected 78 laboratories participated at least twice for TC and 46 laboratories participated twice for HDL-C in the standardization protocols developed by the Cholesterol Reference Method Laboratory Network (CRMLN). We compared the initial and subsequent results using the performance guidelines established by US National Cholesterol Education Program (NCEP). RESULTS: For TC, mean percentage bias of all participants was -0.93% and -0.49% for the initial and second rounds, respectively. Mean within-sample CV was 0.72% and 0.69% for the initial and second rounds, respectively. For HDL-C, mean percentage bias of all participants was -1.86% and -0.06% for the initial and second events, respectively. Mean among-run CV was 1.56% and 1.58% for the initial and second events, respectively. CONCLUSIONS: TC accuracy in the second round than the initial round tended to improvement although statistically not significant, however in the five years follow-up, mean absolute percentage bias was reduced over time. HDL-C accuracy was statistically improved in the second event than the initial event. The precision for both TC and HDL-C did not change. This study shows CRMLN protocols contribute effectively to improvement of TC and HDL-C performance.
机译:背景技术:总胆固醇(TC)和HDL-胆固醇(HDL-C)的准确和精确测量是有效诊断和治疗脂质疾病的必要条件。我们研究了日本临床实验室中的TC认证和HDL-C评估的影响,标准化了他们的测量。方法:我们选择了78个实验室参加了两次TC,46实验室参加了两次HDL-C,在由胆固醇参考方法实验室网络(CRMLN)开发的标准化方案中参加了两次HDL-C.我们使用美国国家胆固醇教育计划(NCEP)建立的绩效指南进行了比较了初始和随后的结果。结果:对于TC,初始和第二轮的所有参与者的平均百分比偏差分别为-0.93%和-0.49%。对于初始和第二轮的样本内CV,分别为0.72%和0.69%。对于HDL-C来说,所有参与者的平均百分比分别为初始和第二次事件的-1.86%和-0.06%。初始和第二次事件的平均CV分别为1.56%和1.58%。结论:在第二轮中的TC准确性比初始轮换趋于改善,尽管在统计上没有显着,但在五年的随访中,平均绝对百分比偏差随着时间的推移而减少。在第二次事件中,HDL-C精度比初始事件在统计上改进。 TC和HDL-C两者的精度都没有改变。本研究表明CRMLN协议有效地提高了TC和HDL-C性能的贡献。

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