基因组
DNA测序
多中心研究
计算生物学
泌尿系统
医学
生物
病毒学
内科学
遗传学
基因
随机对照试验
作者
Zhenglin Chang,Jiwang Deng,Jinhu Zhang,Haojie Wu,Yuanyuan Wu,Bin Lai,Danmei Li,J. Liu,Rongbin Yu,Huaming Lin,Lingyue An,Baoqing Sun
标识
DOI:10.1016/j.jinf.2025.106459
摘要
In the discovery cohort, tNGS demonstrated 96.5% concordance with culture-positive samples, while showing superior specificity in culture-negative specimens (53.1% vs 28.1% for mNGS). Detection time for tNGS (12.89 h) was notably shorter than mNGS (17.38 h) and traditional culture (61.48 h). tNGS exhibited remarkable capability in identifying polymicrobial infections (55.4% of samples), significantly outperforming both mNGS (27.7%) and traditional culture methods, which failed to detect any co-infections. The method showed particular strength in detecting fastidious organisms like Ureaplasma parvum and fungal species such as Candida tropicalis. For antibiotic resistance prediction, tNGS detected more ARGs (52.67% vs 41.22% for mNGS) and achieved 100% sensitivity for vancomycin and methicillin resistance in Gram-positive pathogens. The validation cohort confirmed tNGS's robust performance, maintaining high concordance rates for both culture-positive (90.00%) and culture-negative samples (55.00%), demonstrating consistent reliability across different clinical settings CONCLUSIONS: tNGS demonstrates advantages in rapid and accurate UTI diagnosis, particularly in detecting polymicrobial infections and analyzing antibiotic resistance genes. It shows promise as an effective complementary tool for UTI diagnostics.
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