Li ZX, Huang LL, Liu C, Formichella L, Zhang Y, Wang YM, Zhang L, Ma JL, Liu WD, Ulm K, Wang JX, Zhang L, Bajbouj M, Li M, Vieth M, Quante M, Zhou T, Wang LH, Suchanek S, Soutschek E, Schmid R, Classen M, You WC, Gerhard M, Pan KF (2017)
Publication Type: Journal article
Publication year: 2017
Book Volume: 7
Article Number: 2072
Journal Issue: 1
DOI: 10.1038/s41598-017-02180-7
The performance of diagnostic tests in intervention trials of Helicobacter pylori (H.pylori) eradication is crucial, since even minor inaccuracies can have major impact. To determine the cut-off point for 13C-urea breath test (13C-UBT) and to assess if it can be further optimized by serologic testing, mathematic modeling, histopathology and serologic validation were applied. A finite mixture model (FMM) was developed in 21,857 subjects, and an independent validation by modified Giemsa staining was conducted in 300 selected subjects. H.pylori status was determined using recomLine H.pylori assay in 2,113 subjects with a borderline 13C-UBT results. The delta over baseline-value (DOB) of 3.8 was an optimal cut-off point by a FMM in modelling dataset, which was further validated as the most appropriate cut-off point by Giemsa staining (sensitivity = 94.53%, specificity = 92.93%). In the borderline population, 1,468 subjects were determined as H.pylori positive by recomLine (69.5%). A significant correlation between the number of positive H.pylori serum responses and DOB value was found (r
APA:
Li, Z.X., Huang, L.L., Liu, C., Formichella, L., Zhang, Y., Wang, Y.M.,... Pan, K.F. (2017). Cut-off optimization for 13C-urea breath test in a community-based trial by mathematic, histology and serology approach. Scientific Reports, 7(1). https://doi.org/10.1038/s41598-017-02180-7
MLA:
Li, Zhe Xuan, et al. "Cut-off optimization for 13C-urea breath test in a community-based trial by mathematic, histology and serology approach." Scientific Reports 7.1 (2017).
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