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人群健康体检调查中从事脂质分析的实验室的标准化。

Standardisation of laboratories engaged in lipid analyses of population health examination surveys.

机构信息

Department of Public Health Solutions, National Institute for Health and Welfare (THL), Helsinki, Finland.

出版信息

J Epidemiol Community Health. 2018 Jul;72(7):653-657. doi: 10.1136/jech-2018-210763. Epub 2018 Apr 10.

Abstract

BACKGROUND

Reliable data on clinical biomarkers are necessary in order to assess the health risks of populations and especially in assessing long-term trends related to disease incidence.

METHODS

Ten European laboratories participated in a two-phase quality control exercise of total cholesterol (TC) and high-density lipoprotein-cholesterol (HDL-C) analysis. The European Health Examination Survey Reference Laboratory prepared plasma batches for analysis, and provided target values for them. Two criteria were set for the precision and the systematic error (bias). Three plasma samples were analysed in duplicate on separate days (n=12).

RESULTS

In Round 1, all laboratories met the acceptable criterion (3%) for precision of TC. The mean bias of all laboratories was 0.99% (95% CI 0.03% to 1.95%). Six laboratories measured samples from Round 2. Five laboratories met the goal criterion of 3%; one failed to meet the acceptable criterion of 5%. The mean bias for HDL-C of the three batches of six laboratories was within goal limits (±5% from target) and that of all 10 within acceptable (±10%). The mean bias of all laboratories was 1.1% (95% CI -0.18 to 2.32). In Round 2 four laboratories met the goal criterion and one the acceptable criterion.

CONCLUSION

The quality control exercise demonstrated that although the majority of the laboratories met the strict criteria for systematic error for TC and HDL-C, standardisation of methods is still needed to improve the accuracy of biomarker measurements of laboratories engaged in population health surveys. A protocol is recommended for obtaining reliable and comparable biomarker data between countries.

摘要

背景

为了评估人群的健康风险,特别是评估与疾病发病率相关的长期趋势,需要有可靠的临床生物标志物数据。

方法

10 家欧洲实验室参与了总胆固醇(TC)和高密度脂蛋白胆固醇(HDL-C)分析的两轮质量控制活动。欧洲健康检查调查参考实验室为分析准备了血浆批次,并为其提供了目标值。设定了两个精度和系统误差(偏差)标准。三个血浆样本分别在两天内进行重复分析(n=12)。

结果

在第 1 轮中,所有实验室都达到了 TC 精度的可接受标准(3%)。所有实验室的平均偏差为 0.99%(95%置信区间 0.03%至 1.95%)。有 6 家实验室分析了第 2 轮的样本。其中 5 家实验室达到了 3%的目标标准;有 1 家实验室未能达到 5%的可接受标准。6 家实验室的三批 HDL-C 的平均偏差均在目标范围内(与目标相差±5%),10 家实验室的平均偏差均在可接受范围内(与目标相差±10%)。所有实验室的平均偏差为 1.1%(95%置信区间-0.18 至 2.32)。在第 2 轮中,有 4 家实验室达到了目标标准,有 1 家实验室达到了可接受标准。

结论

质量控制活动表明,尽管大多数实验室达到了 TC 和 HDL-C 系统误差的严格标准,但仍需要对方法进行标准化,以提高参与人群健康调查的实验室生物标志物测量的准确性。建议制定一个方案,以在国家之间获得可靠和可比的生物标志物数据。

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