...
首页> 外文期刊>Clinical Microbiology Newsletter >Serologic Testing for Syphilis: Benefits and Challenges of a Reverse Algorithm
【24h】

Serologic Testing for Syphilis: Benefits and Challenges of a Reverse Algorithm

机译:梅毒的血清学检测:反向算法的优点和挑战

获取原文
获取原文并翻译 | 示例
           

摘要

Syphilis is a human infection of global importance. Its diagnosis can be challenging, requiring construction of a serologic profile based on the results of at least two types of antibody tests: treponemal and nontreponemal. The traditional approach to the serodiagnosis of syphilis has been the use of a nontreponemal screening assay followed by the performance of a treponemal confirmatory test if the initial nontreponemal screening test was reactive. With the increasing availability of automated, easierto-perform, and rapid treponemal assays, an increasing number of laboratory testing sites are adopting reverse sequence screening for the serodiagnosis of syphilis: screening with a treponemal assay first, then confirmation with a nontreponemal assay and, when necessary, discrepant resolution using another treponemal test. In addition to offering automation and increased throughput, a reverse algorithm can increase disease detection, especially in late latent and early primary stages of infection when the nontreponemal antibody test may be nonreactive. However, a disadvantage to this approach is that there can be an increase in false-positive test results. This article reviews the clinical and workflow benefits and limitations of a reverse testing algorithm and discusses current guidance available from the Centers for Disease Control and Prevention.
机译:梅毒是具有全球重要性的人类感染。它的诊断可能具有挑战性,需要根据至少两种类型的抗体检测结果构建血清学特征:三叶和非三叶。梅毒血清学诊断的传统方法是使用非四联筛查试验,如果最初的非四联筛查试验是反应性的,则随后进行三联确证试验。随着自动化,易于执行和快速的螺旋体检定方法的可用性不断提高,越来越多的实验室测试场所正在采用反向序列筛查进行梅毒的血清学诊断:先用螺旋体检定法进行筛查,然后再用非螺旋体检定法进行确认,以及何时进行必要的,使用另一种截尾波测试的分辨率不同。除了提供自动化和增加处理量之外,反向算法还可以提高疾病检测率,尤其是在非潜伏期抗体检测可能没有反应的潜在潜伏期和早期感染初期。但是,这种方法的缺点是假阳性测试结果可能会增加。本文回顾了反向测试算法在临床和工作流程上的优点和局限性,并讨论了疾病控制与预防中心提供的最新指南。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号