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基于纳米孔向测序构建一个名ogram图谱,用于预测尿路病原体,并与殖民细菌区分

Shengming Jiang¹, Yangyan Wei², Hu Ke¹

¹Department of Urology, Renmin Hospital of Wuhan University, Wuhan, China.

Frontiers in cellular and infection microbiology

|June 2, 2023

概括

这项研究开发了一种使用纳米孔向测序 (NTS) 和临床因素的诺图,以准确区分尿病原体 (UPBs) 和殖民细菌 (UCBs) 在尿路感染中,改进抗微生物治疗指导.

科学领域:

微生物学微生物学
基因组学就是基因组学.
医学诊断医学诊断医学诊断

背景情况:

区分泌尿病原体 (UPB) 和尿路殖民细菌 (UCB) 对于有效的抗菌疗法和了解尿路微生物群至关重要.
纳米孔向测序 (NTS) 为识别这些细菌提供了一种潜在的方法.

研究的目的:

建立一个预测名录,将NTS数据与临床因素相结合,以区分UPB与UCB.
为了评估开发的诺米图的诊断性能.

主要方法:

收集基本信息,病史和尿液检测结果.
使用最小绝对收缩和选择运算符 (LASSO) 回归和多变量逻辑回归来确定预测因素.
构建了一个名图,并使用ROC分析,AUC,决策曲线分析和校准曲线评估其性能.

主要成果:

在所有分析的尿路微生物中,NTS检测到74.1%的UPB.
来自NTS的读数显示UPB和UCB组之间存在显著差异 (OR=1.39,p<0.001),作为初步预测指标 (AUC=0.668).
最终的诺米图,包括ln(reads),微生物物种数量,尿液培养,年龄,泌尿瘤,酸盐和糖尿,与单独使用ln(reads (AUC=0.727) 相比,显示出更高的性能 (AUC=0.767).

结论:

纳米孔向测序 (NTS) 有助于区分尿病原体和殖民细菌.
开发的诺米图,将NTS与临床预测器集成在一起,为识别尿病原体提供了增强的预测性能,有利于临床决策.

关键词:

拉索回归法 (Lasso Regression) 是一种回归法.无症状感染无症状感染纳米孔测序的测序这个名字是名ogramogram.尿路感染尿路感染

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