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应用生物变异和患者数据选择差值检查限的比较

Comparison of Application Biological Variation and Patient Data for Selecting Delta Check Limits.

作者信息

Huang Yuzhu, Song Lin, Li Yan, Dai Wen, Zhang Ping-An

出版信息

Clin Lab. 2020 Sep 1;66(9). doi: 10.7754/Clin.Lab.2020.191252.

DOI:10.7754/Clin.Lab.2020.191252
PMID:32902210
Abstract

BACKGROUND

This study aimed to evaluate delta check limits set by reference change value (RCV) and patient data.

METHODS

Patient data of 11 clinical chemistry analytes from June 2018 to May 2019 were collected. RCV with 95% or 99% levels of probability were calculated based on biological variation. The corresponding delta check limits for outpatients and inpatients were calculated by 95% or 99% central range of delta% which was the difference of two consecutive results within thirty days of the same patient for each analyte. Patient data in June 2019 were used to analyze the utility of delta check limits.

RESULTS

In total, 434,927 paired results for these 11 analytes were included. The delta check limits were different between outpatients and inpatients, but were wider than those established by RCV. The difference between Glu's outpatient and inpatient boundaries was the largest, 95% central range from the outpatient (inpatients) was from -32.29% (-56.97%) to 38.78% (106.00%) while 99% central range from the outpatient (inpatients) was from -56.86% (-90.56%) to 89.96% (262.54%). The RCV is mainly determined by within-individual biological variation so that the RCV of each analyte varied from each other. As for RCV, Na had the lowest value and BUN had the highest one. In addition, the main reason for delta% exceeding delta check limits was a clinically significant change.

CONCLUSIONS

Laboratories could use delta check procedure to find out errors in sample collection and monitor clinical significance. When delta% of patients exceed corresponding delta check limits in a short time, clinicians and personnel of clinical laboratory should pay more attention. Delta check limits should be reviewed regularly to check the utility of procedure.

摘要

背景

本研究旨在评估通过参考变化值(RCV)和患者数据设定的差值检查界限。

方法

收集了2018年6月至2019年5月1l项临床化学分析物的患者数据。基于生物学变异计算了概率水平为95%或99%的RCV。通过每个分析物在同一患者30天内两个连续结果之差的delta%的95%或99%中心范围,计算门诊患者和住院患者相应的差值检查界限。使用2019年6月的患者数据来分析差值检查界限的效用。

结果

总共纳入了这11项分析物的434,927对结果。门诊患者和住院患者的差值检查界限不同,但比RCV设定的界限更宽。Glu的门诊和住院界限之间的差异最大,95%中心范围门诊(住院)为-32.29%(-56.97%)至38.78%(106.00%),而99%中心范围门诊(住院)为-56.86%(-90.56%)至89.96%(262.54%)。RCV主要由个体内生物学变异决定,因此每种分析物的RCV各不相同。就RCV而言,Na的值最低,BUN的值最高。此外,delta%超过差值检查界限的主要原因是具有临床意义的变化。

结论

实验室可使用差值检查程序来发现样本采集过程中的错误并监测临床意义。当患者的delta%在短时间内超过相应的差值检查界限时,临床医生和临床实验室工作人员应予以更多关注。应定期审查差值检查界限以检查该程序的效用。

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