屎肠球菌
微生物学
鲍曼不动杆菌
肠球菌
金黄色葡萄球菌
一致性
生物
肺炎克雷伯菌
病菌
病毒学
不动杆菌
铜绿假单胞菌
医学
抗生素
内科学
大肠杆菌
细菌
基因
遗传学
作者
Dongsheng Han,Fei Yu,Dan Zhang,Jiwei Hu,Xuan Zhang,Da‐Xiong Xiang,Jingchao Wang,Jieyuan Zheng,Bin Liu,Shufa Zheng,Yu Chen
出处
期刊:Research Square - Research Square
日期:2024-01-10
标识
DOI:10.21203/rs.3.rs-3840855/v1
摘要
Abstract Background Nanopore sequencing, known for real-time analysis, shows promise for rapid clinical infection diagnosis but lacks effective assays for bloodstream infections (BSIs). Methods We prospectively assessed a novel nanopore targeted sequencing (NTS) assay's performance in identifying pathogens and predicting antibiotic resistance in BSIs, analyzing 387 blood samples from December 2021 to April 2023. Results The positivity rate for NTS (69.5%, 269/387) nearly matches that of metagenomic next-generation sequencing (mNGS) (74.7%, 289/387; p = 0.128) and surpasses the positivity rate of conventional blood culture (BC) (33.9%, 131/387; p < 0.01). Frequent pathogens detected by NTS included Klebsiella pneumoniae (n = 54), Pseudomonas aeruginosa (n = 36), Escherichia coli (n = 36), Enterococcus faecium (n = 30), Acinetobacter baumannii (n = 26), Staphylococcus aureus (n = 23), and Human cytomegalovirus (n = 37). Against a composite BSI diagnostic standard, NTS demonstrated a sensitivity and specificity of 84.0% (95% CI 79.5%-87.7%) and 90.1% (95% CI 81.7%-88.5%), respectively. The concordance between NTS and mNGS results (the percentage of total cases where both either detected BSI-related pathogens or were both negative) was 90.2% (359/387), whereas the consistency between NTS and BC was only 60.2% (233/387). In 80.6% (50/62) of the samples with identical pathogens identified by both NTS tests and BCs, the genotypic resistance identified by NTS correlated with culture-confirmed phenotypic resistance. Using NTS, 95% of samples can be tested and analyzed in approximately 7 hours, allowing for early patient diagnosis. Conclusions NTS is rapid, sensitive, and efficient for detecting BSIs and drug-resistant genes, making it a potential preferred diagnostic tool for early infection identification in critically ill patients.
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