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首页> 外文期刊>Frontiers in Medicine >Diagnostic Value of the Fimbriae Distribution Pattern in Localization of Urinary Tract Infection
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Diagnostic Value of the Fimbriae Distribution Pattern in Localization of Urinary Tract Infection

机译:尿路感染本地化的富脲分布模式的诊断价值

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Urinary tract infections (UTIs) are one of the most common infectious diseases. UTIs are mainly caused by uropathogenic Escherichia coli (UPEC), and are either upper or lower according to the infection site. Fimbriae are necessary for UPEC to adhere to the host uroepithelium, and are abundant and diverse in UPEC strains. Although great progress has been made in determining the roles of different types of fimbriae in UPEC colonization, the contributions of multiple fimbriae to site-specific attachment also need to be considered. Therefore, the distribution patterns of 22 fimbrial genes in 90 UPEC strains from patients diagnosed with upper or lower UTIs were analyzed using PCR. The distribution patterns correlated with the infection sites, an XGBoost model with a mean accuracy of 83.33% and a mean area under the curve (AUC) of the receiver operating characteristic (ROC) of 0.92 demonstrated that fimbrial gene distribution patterns could predict the localization of upper and lower UTIs.
机译:尿路感染(UTI)是最常见的传染病之一。 UTIS主要由尿羟疗法大肠杆菌(UPEC)引起,并且根据感染部位的uper或下部。 FIMBRIAE对于UPEC粘附在宿主Uroepithelium中是必要的,并且在UPEC菌株中丰富多样。 尽管在确定不同类型的FIMBRIAE在UPEC殖民化方面的作用方面取得了巨大进展,但多次FIMBRIAE对现场特定附件的贡献也需要考虑。 因此,使用PCR分析诊断患有上部或下部UTIS的患者的90个UMED基因的分布模式。 与感染部位相关的分布模式,具有83.33%的平均准确度的XGBoost模型和0.92的接收器操作特征(ROC)的曲线(AUC)下的平均面积证明了FIMBERIAL基因分布模式可以预测本地化 Upper和下部Utis。

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