Suppr超能文献

糖化血红蛋白检测自动审核系统的建立与应用。

Establishment and application of autoverification system for HbA1c testing.

机构信息

Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academic Medical Science and Peking Union Medical College, Beijing, China.

出版信息

Biochem Med (Zagreb). 2024 Oct 15;34(3):030705. doi: 10.11613/BM.2024.030705.

Abstract

INTRODUCTION

This study aimed to determine autoverification rules for routine glycated hemoglobin (HbA1c) analysis based on high-performance liquid chromatography (HPLC) principle. Laboratory information system (LIS) and Bio-Rad D-100 Advisor software (Bio-Rad, Hercules, USA) with graphics recognition function were carriers for the autoverification system.

MATERIALS AND METHODS

A total of 105,126 HbA1c results, including 98,249 HbA1c matching fast plasma glucose (FPG) results of real-world data from May 2019 to June 2020, were collected to determine autoverification rules including flags, delta checks, reporting limits, and logical rules. The validation database was composed of 48,045 HbA1c results and 41,083 matching FPG results. Autoverification passing rate and the reduction of turnaround time (TAT) were evaluated.

RESULTS

Four autoverification systems (A, B, C, D) were established by two types of delta check rules, 28 flags, one reporting limits, and two kinds of logical rules. The autoverification passing rates were 80.6%, 78.8%, 83.7%, and 81.3%, and the average time saved in TAT were 117.5 min, 116.7 min, 121.1 min, and 121.7 min, respectively.

CONCLUSIONS

Autoverification system C was the optimal one. Application of distribution of FPG corresponding to HbA1c groups had better performance as logical rules. Established HbA1c autoverifcation system shortened the auditing report time and improved work efficiency.

摘要

简介

本研究旨在基于高效液相色谱(HPLC)原理,确定常规糖化血红蛋白(HbA1c)分析的自动验证规则。实验室信息系统(LIS)和具有图形识别功能的伯乐 D-100 顾问软件(伯乐,美国 Hercules)是自动验证系统的载体。

材料与方法

共收集了 105126 例 HbA1c 结果,包括 2019 年 5 月至 2020 年 6 月真实世界数据中 98249 例与快速血浆葡萄糖(FPG)结果相匹配的 HbA1c 结果,以确定包括标志、差值检查、报告限和逻辑规则在内的自动验证规则。验证数据库由 48045 例 HbA1c 结果和 41083 例匹配的 FPG 结果组成。评估了自动验证通过率和周转时间(TAT)的缩短。

结果

通过两种类型的差值检查规则、28 个标志、一个报告限和两种逻辑规则,建立了四个自动验证系统(A、B、C、D)。自动验证通过率分别为 80.6%、78.8%、83.7%和 81.3%,TAT 平均节省时间分别为 117.5 分钟、116.7 分钟、121.1 分钟和 121.7 分钟。

结论

自动验证系统 C 是最佳的。作为逻辑规则,应用 HbA1c 组对应的 FPG 分布具有更好的性能。建立的 HbA1c 自动验证系统缩短了审核报告时间,提高了工作效率。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验