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基于数学、组织学和血清学方法对社区为基础的试验中的 C-尿素呼气试验进行截止值优化。

Cut-off optimization for C-urea breath test in a community-based trial by mathematic, histology and serology approach.

机构信息

Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, 52 Fu-cheng Road, Hai-dian District, Beijing, 100142, China.

Technische Universität München, Klinikum rechts der Isar, Trogerstr. 30, 81675, Munich, Germany.

出版信息

Sci Rep. 2017 May 18;7(1):2072. doi: 10.1038/s41598-017-02180-7.

DOI:10.1038/s41598-017-02180-7
PMID:28522798
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5437005/
Abstract

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 C-urea breath test (C-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 C-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 = 0.217, P < 0.001). A mathematical approach such as FMM might be an alternative measure in optimizing the cut-off point for C-UBT in community-based studies, and a second method to determine H.pylori status for subjects with borderline value of C-UBT was necessary and recommended.

摘要

在幽门螺杆菌 (H.pylori) 根除干预试验中,诊断测试的性能至关重要,因为即使是微小的不准确也可能产生重大影响。为了确定 C-尿素呼气试验 (C-UBT) 的截止值,并评估通过血清学检测、数学建模、组织病理学和血清学验证是否可以进一步优化,我们进行了研究。在 21857 名受试者中建立了有限混合模型 (FMM),并在 300 名选定的受试者中通过改良吉姆萨染色进行了独立验证。在 2113 名 C-UBT 结果临界的受试者中,使用 recomLine H.pylori 检测确定 H.pylori 状态。在建模数据集中,FMM 的 3.8 作为最佳截止值,进一步通过吉姆萨染色验证为最适截止值(灵敏度=94.53%,特异性=92.93%)。在临界人群中,1468 名受试者被 recomLine 确定为 H.pylori 阳性(69.5%)。发现阳性 H.pylori 血清反应数量与 DOB 值之间存在显著相关性(r=0.217,P<0.001)。数学方法(如 FMM)可能是优化基于社区研究的 C-UBT 截止值的替代方法,对于 C-UBT 临界值的受试者,需要并推荐使用第二种方法来确定 H.pylori 状态。

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