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基于全年数据分析的某大学医院中心实验室的分析前误差

Preanalytical Errors in the Central Laboratory of a University Hospital Based on the Analysis of Year-Round Data.

作者信息

Chang Jeonghyun, Kim Sollip, Yoo Soo Jin, Park Eun Jin, Um Tae Hyun, Cho Chong Rae

出版信息

Clin Lab. 2020 Sep 1;66(9). doi: 10.7754/Clin.Lab.2020.200110.

DOI:10.7754/Clin.Lab.2020.200110
PMID:32902239
Abstract

BACKGROUND

Preanalytical errors cause a decrease in the accuracy of clinical laboratory results. We analyzed preanalytical errors (preAEs) made in the clinical laboratory of a university hospital.

METHODS

All samples received in a centralized laboratory from January 1, to December 31, 2018, were analyzed retrospectively. The categories of preAEs were improper request, incorrect labeling, improper collection/transport, inadequate sample volume, inappropriate container, hemolysis, and sample clotting. The rates of preAEs in these categories were calculated according to sample type, laboratory subunit, department, sampling place, sampling time, and patient age.

RESULTS

Of 1,082,014 samples received and analyzed by the laboratory, 6,848 (0.63%) were classified as having preAEs. The most frequent categories of preAE were hemolysis (44.6%), sample clotting (30.8%), and inadequate volume (16.7%). The most frequent preAE category for whole-blood and serum/plasma was clotting and hemolysis, respectively. The most frequent preAE category in the blood bank, clinical chemistry, immunology, and test referral service laboratory subunits was hemolysis, in the hematology subunit it was sample clotting, and in the microbiology and urinalysis subunits it was inadequate sample volume. Surgical departments had a higher rate of preAEs than did non-surgical departments (p < 0.0001). Samples drawn in the sampling room showed the lowest frequencies of preAEs (0.01%). Samples drawn on general wards from 5 pm to 5 am, when duty nurses perform sampling, showed a preAE rate of 2.80%. The rate of preAEs increased with patient age.

CONCLUSIONS

This analysis of preAEs is the most comprehensive to date. Our findings will promote the provision of high-quality laboratory services to clinicians and their patients.

摘要

背景

分析前误差会导致临床实验室结果准确性下降。我们对一家大学医院临床实验室发生的分析前误差进行了分析。

方法

回顾性分析2018年1月1日至12月31日集中实验室接收的所有样本。分析前误差的类别包括申请不当、标签错误、采集/运输不当、样本量不足、容器不合适、溶血和样本凝血。根据样本类型、实验室亚单位、科室、采样地点、采样时间和患者年龄计算这些类别的分析前误差发生率。

结果

实验室接收并分析的1,082,014份样本中,6,848份(0.63%)被归类为存在分析前误差。最常见的分析前误差类别是溶血(44.6%)、样本凝血(30.8%)和样本量不足(16.7%)。全血和血清/血浆最常见的分析前误差类别分别是凝血和溶血。血库、临床化学、免疫学和检测转诊服务实验室亚单位最常见的分析前误差类别是溶血,血液学亚单位是样本凝血,微生物学和尿液分析亚单位是样本量不足。外科科室的分析前误差发生率高于非外科科室(p < 0.0001)。在采样室采集的样本分析前误差发生率最低(0.01%)。在普通病房由值班护士在下午5点至上午5点采集的样本,分析前误差发生率为2.80%。分析前误差发生率随患者年龄增加而升高。

结论

本次对分析前误差的分析是迄今为止最全面的。我们的研究结果将有助于为临床医生及其患者提供高质量的实验室服务。

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