Informative array testing with multiplex assays
Informative array testing with multiplex assays
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DOI：
10.1002/sim.8954
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发表时间：
2021-03-24
影响因子：
2
通讯作者：
McMahan, Christopher S.
中科院分区：
文献类型：
--
作者：
Bilder, Christopher R.;Tebbs, Joshua M.;McMahan, Christopher S.
性传播疾病临床标本的大量检测通常采用一种称为群体检测的方法。这种算法过程包括将来自不同个体的部分标本作为一个单位（或“组”）进行测试，以检测疾病。对检测呈阳性的群体进行重新检测，以区分阳性和阴性个体标本。总体目标是在不牺牲诊断准确性的情况下，在所有个体中使用尽可能少的测试。最有效的组测试算法之一是数组测试。在最简单的形式中，标本被排列成网格状结构，以便形成行和列组。阳性检测行/列表示需要重新检测的标本。随着越来越多地使用多种检测方法，通过这些检测方法检测的疾病越来越多，以及特定主题风险信息的可用性，存在着使这种检测过程更加有效的机会。与其他阵列测试算法相比，我们提出了特定的阵列内标本安排，可以减少所需的重新测试次数。我们研究如何计算工作特性，包括预期测试次数和测试次数的SD，然后找到最佳安排。我们的方法说明了衣原体和淋病检测与Aptima Combo 2试验。我们还提供R函数，使实验室可以访问我们的研究。
High-volume testing of clinical specimens for sexually transmitted diseases is performed frequently by a process known as group testing. This algorithmic process involves testing portions of specimens from separate individuals together as one unit (or "group") to detect diseases. Retesting is performed on groups that test positively in order to differentiate between positive and negative individual specimens. The overall goal is to use the least number of tests possible across all individuals without sacrificing diagnostic accuracy. One of the most efficient group testing algorithms is array testing. In its simplest form, specimens are arranged into a grid-like structure so that row and column groups can be formed. Positive-testing rows/columns indicate which specimens to retest. With the growing use of multiplex assays, the increasing number of diseases tested by these assays, and the availability of subject-specific risk information, opportunities exist to make this testing process even more efficient. We propose specific specimen arrangements within an array that can reduce the number of retests needed when compared with other array testing algorithms. We examine how to calculate operating characteristics, including the expected number of tests and the SD for the number of tests, and then subsequently find a best arrangement. Our methods are illustrated for chlamydia and gonorrhea detection with the Aptima Combo 2 Assay. We also provide R functions to make our research accessible to laboratories.