2018
DOI: 10.1016/j.diagmicrobio.2018.02.016
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Poor yield of Clostridium difficile testing algorithms using glutamate dehydrogenase antigen and C. difficile toxin enzyme immunoassays in a pediatric population with declining prevalence of clostridium difficile strain BI/NAP1/027

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Cited by 10 publications
(4 citation statements)
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“…Discrepancies in performance characteristics for the same C. difficile toxin and PCR assays have furthermore been observed to occur between different geographic sites and strain types [2,14,15], potentially contributing to our observed results. The low sensitivity of the rapid GDH/toxin combination at our institution is described in other studies, though it contrasts with the performance found by others [10,[16][17][18][19], a trend which remained consistent throughout this four-year study period. Our results were similar to those described in a cancer center patient population, in which an AUC of 0.83 was obtained with a Youden cutoff of ≤28.0 cycles (vs. our Youden cutoff of ≤27.8 cycles) for the prediction of CCNA toxin results.…”
Section: Discussioncontrasting
confidence: 82%
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“…Discrepancies in performance characteristics for the same C. difficile toxin and PCR assays have furthermore been observed to occur between different geographic sites and strain types [2,14,15], potentially contributing to our observed results. The low sensitivity of the rapid GDH/toxin combination at our institution is described in other studies, though it contrasts with the performance found by others [10,[16][17][18][19], a trend which remained consistent throughout this four-year study period. Our results were similar to those described in a cancer center patient population, in which an AUC of 0.83 was obtained with a Youden cutoff of ≤28.0 cycles (vs. our Youden cutoff of ≤27.8 cycles) for the prediction of CCNA toxin results.…”
Section: Discussioncontrasting
confidence: 82%
“…However, the actual value of its prognostic contribution, as compared to the information derived from toxin testing and assessment of clinical risk factors, has been questioned [24]. With different case definitions and specimen inclusion criteria between different studies, optimal cutoffs for tcdB C t values from the Xpert platform have ranged from <23.5 to <27.55 for predicting poor outcomes for CDI [9,19,[24][25][26][27]. Incorporating expert clinical consensus, a more recent study found a threshold of <24.0 cycles on the Xpert assay corresponded with a high probability of CDI [28].…”
Section: Discussionmentioning
confidence: 99%
“…Another reason may be the different prevalent strains in different regions or settings. For example, toxin-hyperproducing NAP1 strains are more often associated with toxin-positive results (24). Given the low sensitivity of EIA, additional tests such as the Nucleic Acid Amplification Test (NAAT) should be performed when CDI is suspected, but the EIA is negative (25).…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, rapid diagnosis of CDI with NAAT alone was more timely and accurate, and correlated better with clinical diagnosis [ 13 ]. In another study among pediatric patients, the sensitivity of a NAAT alone algorithm was 94% versus 85% for the GDH/toxin algorithm, suggesting that GDH-based algorithms can result in more false negative or missed CDI diagnoses [ 14 ]. In addition to diagnostic inaccuracy, evidence suggests that CDI has been underdiagnosed in Japan by up to 24% based on current practice [ 15 , 16 ], where GDH/toxin is the first-line test for CDI.…”
Section: Introductionmentioning
confidence: 99%