评估莱姆血清学定量检测指数:在标准和改进的两级莱姆检测算法中,高一级检测指数值可预测阳性的二级检测结果。

IF 2.3 4区 医学 Q2 PATHOLOGY
Elizabeth Lee Lewandrowski, John A Branda, Erik Klontz, Lise E Nigrovic, Kent Lewandrowski
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引用次数: 0

摘要

研究目的在这项研究中,我们评估了报告莱姆血清学定量检测指数的潜在效用,以提高莱姆一级检测结果的效用:方法:对送往本实验室进行莱姆检测的连续样本的血清进行两种商用一级莱姆检测法的检测,并根据血清学指数值进行评估,以确定二级确认的概率:对于这两种检测方法,我们都确定了一个指数值,超过该指数值的样本在使用标准和修改后的二级检测算法进行二级检测时 100% 都能得到确诊。对于指数值较低的阳性或模棱两可的样本,确认率较低:结论:莱姆检测指数值的使用可使许多阳性的第一级样本无需进行确证检测,从而更快地得出明确结果。这种做法还能提高临床实验室的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Lyme serologic quantitative test indexes: High first-tier test index values predict positive second-tier result in standard and modified 2-tier Lyme testing algorithms.

Objectives: In this study, we evaluated the potential utility of reporting a quantitative Lyme serologic test index to improve the utility of results from first-tier Lyme assays.

Methods: Serum from consecutive samples sent to our laboratory for Lyme testing were tested on 2 commercial first-tier Lyme assays and evaluated to determine the probability of second-tier confirmation based on the serologic index value.

Results: For both assays, we identified an index value above which 100% of samples confirmed on second-tier testing using both standard and modified 2-tier testing algorithms. Lower rates of confirmation were observed for positive or equivocal samples with lower index values.

Conclusion: The use of a Lyme test index value may eliminate the need for confirmatory testing on many positive first-tier samples, providing more rapid turnaround time to a definitive result. This practice would also increase efficiency in the clinical laboratory.

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来源期刊
CiteScore
7.70
自引率
2.90%
发文量
367
审稿时长
3-6 weeks
期刊介绍: The American Journal of Clinical Pathology (AJCP) is the official journal of the American Society for Clinical Pathology and the Academy of Clinical Laboratory Physicians and Scientists. It is a leading international journal for publication of articles concerning novel anatomic pathology and laboratory medicine observations on human disease. AJCP emphasizes articles that focus on the application of evolving technologies for the diagnosis and characterization of diseases and conditions, as well as those that have a direct link toward improving patient care.
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