000088306 001__ 88306
000088306 005__ 20210902121646.0
000088306 0247_ $$2doi$$a10.1038/s41598-020-61202-z
000088306 0248_ $$2sideral$$a116712
000088306 037__ $$aART-2020-116712
000088306 041__ $$aeng
000088306 100__ $$aValledor, Silvia
000088306 245__ $$aComparison of several Real-Time PCR kits versus a culture-dependent algorithm to identify enteropathogens in stool samples
000088306 260__ $$c2020
000088306 5060_ $$aAccess copy available to the general public$$fUnrestricted
000088306 5203_ $$aThis study aims to validate the current diagnostic method for the clinical detection of gastroenteritis. We analyzed 400 stool samples to detect three of the most common enteropathogens: Salmonella spp., Campylobacter spp., and Yersinia enterocolitica. All specimens were tested with a routine clinical diagnosis algorithm and with five real-time PCR assays. A total of 98 specimens (24.5%) were positive for enteropathogens. We found 24 samples positive for Salmonella enterica, 71 positive for Campylobacter spp., and 4 positive for Yersinia enterocolitica. All evaluated methods exhibited a good performance in identifying Salmonella and Yersinia enterocolitica, being the highest positive percent agreement (PPA) value of 95.8% and 100%, respectively. The clinical algorithm showed the highest PPA value identifying Salmonella, due to the enrichment in selenite broth. However, the evaluated methods showed notable differences in the identification of Campylobacter species, obtaining a wide range of PPA values: 59.2%–100%. The clinical algorithm showed the lowest PPA value since it was only able to detect Campylobacter jejuni and Campylobacter coli species. This study revealed the importance of implementing the real-time PCR technique in a clinical algorithm: it improved the accuracy of the diagnosis and provided results in a shorter time compared to routine clinical methods.
000088306 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000088306 590__ $$a4.379$$b2020
000088306 591__ $$aMULTIDISCIPLINARY SCIENCES$$b17 / 73 = 0.233$$c2020$$dQ1$$eT1
000088306 592__ $$a1.24$$b2020
000088306 593__ $$aMultidisciplinary$$c2020$$dQ1
000088306 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000088306 700__ $$aValledor, Inés
000088306 700__ $$0(orcid)0000-0002-9157-1444$$aGil-Rodríguez, María Concepción
000088306 700__ $$0(orcid)0000-0002-9742-1463$$aSeral, Cristina$$uUniversidad de Zaragoza
000088306 700__ $$0(orcid)0000-0002-2519-701X$$aCastillo, Javier$$uUniversidad de Zaragoza
000088306 7102_ $$11011$$2630$$aUniversidad de Zaragoza$$bDpto. Microb.Ped.Radio.Sal.Pú.$$cÁrea Microbiología
000088306 773__ $$g10 (2020), 4301 1-8$$pSci. rep.$$tScientific Reports$$x2045-2322
000088306 8564_ $$s1057234$$uhttps://zaguan.unizar.es/record/88306/files/texto_completo.pdf$$yVersión publicada
000088306 8564_ $$s223546$$uhttps://zaguan.unizar.es/record/88306/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000088306 909CO $$ooai:zaguan.unizar.es:88306$$particulos$$pdriver
000088306 951__ $$a2021-09-02-09:03:31
000088306 980__ $$aARTICLE