Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Diagn Microbiol Infect Dis. 2021 Aug;100(4):115383. doi: 10.1016/j.diagmicrobio.2021.115383. Epub 2021 Mar 26.
Urinary tract infections are leading causes of hospital admissions. Accurate and timely diagnosis is important due to increasing morbidity and mortality from antimicrobial resistance. We evaluated a polymerase chain reaction test (Acuitas AMR Gene Panel with the Acuitas Lighthouse Software) for detection of 5 common uropathogens (Escherichia coli, Klebsiella pneumoniae, Proteus mirabilis, Pseudomonas aeruginosa, Enterococcus faecalis) and antibiotic resistance genes directly from urine for prediction of phenotypic resistance. Overall percent agreement was 97% for semiquantitative detection of uropathogens versus urine culture using a cut-off of 10 colony forming units per mL urine. Overall accuracy was 91% to 93% for genotypic prediction of common antibiotic resistance harbored by E. coli, K. pneumoniae, and P. mirabilis.
尿路感染是导致住院的主要原因。由于抗生素耐药性导致发病率和死亡率不断上升，因此准确、及时的诊断非常重要。我们评估了一种聚合酶链反应检测方法（Acuitas AMR Gene Panel 与 Acuitas Lighthouse 软件），该方法可直接从尿液中检测 5 种常见的尿路病原体（大肠埃希菌、肺炎克雷伯菌、奇异变形杆菌、铜绿假单胞菌、粪肠球菌）和抗生素耐药基因，以预测表型耐药性。与使用 10 个菌落形成单位/毫升尿液作为截断值的尿液培养相比，半定量检测尿路病原体的总体百分比一致性为 97%。对大肠埃希菌、肺炎克雷伯菌和奇异变形杆菌常见抗生素耐药基因的基因型预测的总准确性为 91%至 93%。
