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血液学指标的警报和变化界限估计及其在合理性控制中的应用。

Estimation of Alert and Change Limits of Haematological Quantities and its Application in the Plausibility Control.

作者信息

Sánchez-Navarro Lourdes, Castro-Castro María José, Dot-Bach Dolors, Fuentes-Arderiu Xavier

机构信息

Laboratori Clínic, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat , Catalonia, Spain.

Clinical Laboratory Sciences Consulting , Barcelona, Catalonia, Spain.

出版信息

EJIFCC. 2014 Apr 28;25(1):115-27. eCollection 2014 Apr.

Abstract

INTRODUCTION

In the process of quality assurance of the measured values of the clinical laboratory, one of the purposes is to perform the validation of patients' measured values in the most objective way. This validation process is called plausibility control which may be defined as the set of procedures used to decide if a patient's measured value is valid according to established clinical and biological criteria. The aim of this study is to propose a model to estimate alert and change limits of measured values of the blood cell count, to be applied to detect doubtful patients' measured values.

METHODS

Some alert and change limits were estimated from the emergency laboratory database of the year 2010 using different percentiles. A verification of the suitability of the proposed model was also performed.

RESULTS

Most of the fractions of the measured values excluded by the alert and change limits were according to the theoretical expected. The overall fraction of the number of doubtful clinical laboratory reports ranged between 0.6 and 47.6 %.

CONCLUSIONS

The proposed model helps, improves and standardizes the process of detection of doubtful measured values since they are produced objectively. These limits can also be configured in a laboratory information system letting the clinical laboratory professional staff to save time and efforts.

摘要

引言

在临床实验室测量值的质量保证过程中,目的之一是以最客观的方式对患者的测量值进行验证。这个验证过程称为合理性控制,它可以定义为用于根据既定的临床和生物学标准判断患者测量值是否有效的一组程序。本研究的目的是提出一个模型,用于估计血细胞计数测量值的警报和变化限值,以应用于检测可疑的患者测量值。

方法

使用不同百分位数从2010年的急诊实验室数据库中估计一些警报和变化限值。还对所提出模型的适用性进行了验证。

结果

被警报和变化限值排除的测量值部分大多符合理论预期。可疑临床实验室报告数量的总体比例在0.6%至47.6%之间。

结论

所提出的模型有助于、改进并规范可疑测量值的检测过程,因为它们是客观产生的。这些限值也可以在实验室信息系统中进行配置,使临床实验室专业人员节省时间和精力。

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