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Informative array testing with multiplex assays
Statistics in Medicine ( IF 2 ) Pub Date : 2021-03-24 , DOI: 10.1002/sim.8954
Christopher R Bilder 1 , Joshua M Tebbs 2 , Christopher S McMahan 3
Affiliation  

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.

中文翻译:

使用多重测定的信息性阵列测试

对性传播疾病的临床标本进行大量测试通常通过称为“集体测试”的过程进行。该算法过程涉及将来自不同个体的标本部分作为一个单元(或“组”)一起测试以检测疾病。对阳性测试的组进行重新测试,以区分阳性和阴性个体样本。总体目标是在不影响诊断准确性的情况下,在所有个人中使用尽可能少的测试。阵列测试是最有效的组测试算法之一。以最简单的形式,将标本排列成网格状结构,以便可以形成行和列组。阳性测试行/列指示要重新测试的样本。随着多重分析的日益广泛使用,这些检测方法检测出的疾病数量不断增加,并且存在特定受试者的风险信息,因此有机会提高检测效率。我们提出了阵列中特定的标本排列方式,与其他阵列测试算法相比,可以减少所需的重新测试次数。我们研究了如何计算操作特性,包括预期的测试次数和测试次数的SD,然后找到最佳的安排。我们使用Aptima Combo 2分析法说明了衣原体和淋病的检测方法。我们还提供R函数,使实验室可以访问我们的研究。我们提出了阵列中特定的标本排列方式,与其他阵列测试算法相比,可以减少所需的重新测试次数。我们研究了如何计算操作特性,包括预期的测试次数和测试次数的SD,然后找到最佳的安排。我们使用Aptima Combo 2分析法说明了衣原体和淋病的检测方法。我们还提供R函数,使实验室可以访问我们的研究。我们提出了阵列内的特定标本安排,与其他阵列测试算法相比,可以减少所需的重新测试次数。我们研究了如何计算操作特性,包括预期的测试次数和测试次数的SD,然后找到最佳的安排。我们使用Aptima Combo 2分析法说明了衣原体和淋病的检测方法。我们还提供R函数,使实验室可以访问我们的研究。我们使用Aptima Combo 2分析法说明了衣原体和淋病的检测方法。我们还提供R函数,使实验室可以访问我们的研究。我们使用Aptima Combo 2分析法说明了衣原体和淋病的检测方法。我们还提供R函数,使实验室可以访问我们的研究。
更新日期:2021-05-15
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