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估计 15 项临床化学血清分析物的最小分析前不精密度。

Estimation of the minimal preanalytical uncertainty for 15 clinical chemistry serum analytes.

机构信息

Laboratory of Clinical Biochemistry, Haukeland University Hospital, N-5021 Bergen, Norway.

出版信息

Clin Chem. 2010 Aug;56(8):1329-35. doi: 10.1373/clinchem.2010.146050. Epub 2010 Jun 15.

Abstract

BACKGROUND

We sought a model to estimate preanalytical uncertainty of blood samples collected and processed by using optimal procedures.

METHODS

Optimal preanalytical handling of blood samples included use of a loosely fastened tourniquet, wide bore needles, recommended clotting time and centrifugation speed, and minimal storage before analysis. Blood was collected from each arm of 20 volunteers into 2 rapid-serum tubes and 2 serum-separation tubes. Linear mixed-effects models were used to estimate the between-venipuncture SD, the preanalytical SD (excluding venipuncture), the measurement repeatability SD, and systematic differences between the tubes and between venipunctures.

RESULTS

No significant systematic differences were found between successive venipunctures. However, statistically significant mean differences were seen between serum-separation tubes and rapid-serum tubes for 7 of the 15 analytes. The preanalytical SD (excluding venipuncture) for lactate dehydrogenase (3.2 U/L, 95% CI 2.8-3.7) was significantly higher than the SD for measurement repeatability (1.9 U/L, 95% CI 1.7-2.1). For potassium both the preanalytical SD (excluding venipuncture) (0.092 mmol/L, 95% CI 0.080-0.11) and the between-venipuncture SD (0.075 mmol/L, 95% CI 0.048-0.12) were significantly higher than the measurement-repeatability SD (0.031 mmol/L, 95% CI 0.028-0.035). For glucose the between-venipuncture SD (0.20 mmol/L, 95% CI 0.14-0.27) was significantly higher than the preanalytical SD (excluding venipuncture) (0.07 mmol/L, 95% CI 0.06-0.08), and the measurement repeatability SD (0.057 mmol/L, 95% CI 0.051-0.064).

CONCLUSIONS

By applying linear mixed-effects models we have estimated the minimal preanalytical uncertainty that will influence all patient results.

摘要

背景

我们寻求一种模型来估算通过优化程序采集和处理的血液样本的分析前不精密度。

方法

最佳的血液样本分析前处理包括使用松止血带、宽口径针头、推荐的凝血时间和离心速度,以及在分析前进行最小化的储存。从 20 名志愿者的每只手臂采集血液到 2 个快速血清管和 2 个血清分离管中。使用线性混合效应模型来估算静脉穿刺之间的标准差、分析前不精密度(不包括静脉穿刺)、测量重复性标准差以及管与管之间、静脉穿刺之间的系统差异。

结果

未发现连续静脉穿刺之间存在显著的系统差异。然而,在 15 个分析物中有 7 个分析物在血清分离管和快速血清管之间存在统计学上显著的均值差异。乳酸脱氢酶的分析前不精密度(不包括静脉穿刺)(3.2 U/L,95%CI 2.8-3.7)显著高于测量重复性的标准差(1.9 U/L,95%CI 1.7-2.1)。对于钾,分析前不精密度(不包括静脉穿刺)(0.092 mmol/L,95%CI 0.080-0.11)和静脉穿刺之间的标准差(0.075 mmol/L,95%CI 0.048-0.12)均显著高于测量重复性的标准差(0.031 mmol/L,95%CI 0.028-0.035)。对于葡萄糖,静脉穿刺之间的标准差(0.20 mmol/L,95%CI 0.14-0.27)显著高于分析前不精密度(不包括静脉穿刺)(0.07 mmol/L,95%CI 0.06-0.08)和测量重复性的标准差(0.057 mmol/L,95%CI 0.051-0.064)。

结论

通过应用线性混合效应模型,我们估算了影响所有患者结果的最小分析前不精密度。

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