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Quantitative Assessment of Commutability for Clinical Viral Load Testing Using a Digital PCR-Based Reference Standard
Author(s) -
Li Tang,
Yilun Sun,
Daelynn R. Buelow,
Zhuowei Gu,
Angela M. Caliendo,
Stanley Pounds,
Randall T. Hayden
Publication year - 2016
Publication title -
journal of clinical microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.349
H-Index - 255
eISSN - 1070-633X
pISSN - 0095-1137
DOI - 10.1128/jcm.03346-15
Subject(s) - computer science , digital polymerase chain reaction , viral load , data mining , computational biology , medical physics , medicine , virology , biology , virus , polymerase chain reaction , biochemistry , gene
Given recent advances in the development of quantitative standards, particularly WHO international standards, efforts to better understand the commutability of reference materials have been made. Existing approaches in evaluating commutability include prediction intervals and correspondence analysis; however, the results obtained from existing approaches may be ambiguous. We have developed a “deviation-from-ideal” (DFI) approach to evaluate commutability of standards and applied it to the assessment of Epstein-Bar virus (EBV) load testing in four quantitative PCR assays, treating digital PCR as a reference assay. We then discuss advantages and limitations of the DFI approach as well as experimental design to best evaluate the commutability of an assay in practice.

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