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DOI 10.1016/j.mimet.2017.10.016

Медицинская библиотека · Journal of microbiological methods · 2017

Evaluation of the multiplex PCR Allplex-GI assay in the detection of bacterial pathogens in diarrheic stool samples.

Martín Ariadna, Pérez-Ayala Ana, Chaves Fernando, Lora David, Orellana M Ángeles

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

Rapid and accurate detection of the pathogens that cause gastrointestinal infection is important for appropriate therapy and proper infection control. This study assesses the performance of a new molecular assay for simultaneous detection of 13 different gastrointestinal bacteria in stool specimens. Using the Allplex GI-Bacteria (AGI-BI/AGI-BII) assay, a total of 394 stool samples were tested and the results were compared with culturing on selective differential followed by identification by mass spectroscopy. Discordant results were analyzed by a different multiplex PCR method, the Fast-Track Diagnostics Bacterial gastroenteritis (FTD-BG). The routine method (RM) detected 109 (27.7%) positive samples and the Allplex-GI assay, 261 (66.2%). Analysis of discordant results revealed that the molecular assay detected 44 pathogens that were not detected by the RM, including 23 Campylobacter spp., 11 Salmonella spp, 3 Y. enterocolitica, 2 EIEC/Shigella spp, 2 E. coli 0157, 2 C. difficile and 1 Aeromonas spp. Five cases not detected by the molecular method were detected by the RM (3 Aeromonas spp, 1 Salmonella spp and 1 Y. enterocolitica). For all targets, the percentages of sensitivity and specificity were >95%, except for Aeromonas spp., which were 81% and 99% respectively. This study suggests that Allplex-GI multiplex PCR is a sensitive and specific assay that enables a rapid and accurate diagnosis of bacterial gastrointestinal infections.

Для цитирования: Martín Ariadna, Pérez-Ayala Ana, Chaves Fernando, Lora David, Orellana M Ángeles. Evaluation of the multiplex PCR Allplex-GI assay in the detection of bacterial pathogens in diarrheic stool samples.. Journal of microbiological methods. 2017. DOI: 10.1016/j.mimet.2017.10.016.

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