Suppr超能文献

利用实时荧光定量聚合酶链反应(PCR)反应值改进新型冠状病毒(SARS-CoV-2)检测并助力临床决策

Using Real-Time PCR Fluorescence Reaction Values to Improve SARS-CoV-2 Virus Detection and Benefit Clinical Decision-Making.

作者信息

Yang Wan-Wen, Hsu Chin-Wen, Chan Yu-Ju, Su Shih-Bin, Feng I-Jung, Hou Chia-Yi, Huang Chien-Yuan

机构信息

Department of Clinical Pathology, Chi-Mei Medical Center, Liouying, Tainan 736402, Taiwan.

Department of Family Medicine, Chi-Mei Medical Center, Liouying, Tainan 736402, Taiwan.

出版信息

Life (Basel). 2023 Mar 2;13(3):683. doi: 10.3390/life13030683.

Abstract

This study aimed to compare the SARS-CoV-2 nucleic acid detection results of the BD MAX™ System and other platforms to formulate an optimized laboratory verification process. The re-examination of 400 samples determined as positive by BD MAX™ indicated that the inconsistency rate between BD MAX™ and the other platforms was 65.8%; the inconsistency rate of single-gene-positive results was as high as 99.2%. A receiver operating characteristic curve was drawn for the relative light unit (RLU) values of samples positive for a single gene, and RLU 800 was used as the cutoff. After setting the retest standard as single-gene positive and RLU ≥ 800, the number of the 260 BD MAX™ single-gene positives that needed to be confirmed again was 36 (13.8%) and the number that could be directly reported as negative was 224 (86.2%). This verification process can shorten the reporting period and speed up the epidemic adjustment time and turnover rate of special wards, thereby improving SARS-CoV-2 detection efficiency and clinical decision-making.

摘要

本研究旨在比较BD MAX™系统与其他平台的新型冠状病毒核酸检测结果,以制定优化的实验室验证流程。对BD MAX™判定为阳性的400份样本进行复检,结果显示BD MAX™与其他平台之间的不一致率为65.8%;单基因阳性结果的不一致率高达99.2%。绘制单基因阳性样本相对光单位(RLU)值的受试者工作特征曲线,并将RLU 800用作临界值。将复检标准设定为单基因阳性且RLU≥800后,260份BD MAX™单基因阳性样本中需要再次确认的有36份(13.8%),可直接报告为阴性的有224份(86.2%)。该验证流程可缩短报告周期,加快疫情调整时间和特殊病房的周转率,从而提高新型冠状病毒检测效率和临床决策水平。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0a7/10057560/bfa8b313ebde/life-13-00683-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验