Monsen Tor, Rydén Patrik
Department of Medical Microbiology, Umeå University, Umeå, Sweden
Department of Mathematics and Mathematical Statistics, Umeå University, Umeå, Sweden Computational Life Science Cluster (CLiC), Umeå University, Umeå, Sweden.
J Clin Microbiol. 2015 Feb;53(2):539-45. doi: 10.1128/JCM.01974-14. Epub 2014 Dec 3.
Urinary tract infections (UTIs) are the second most common bacterial infection. Urine culture is the gold standard for diagnosis, but new techniques, such as flow cytometry analysis (FCA), have been introduced. The aim of the present study was to evaluate FCA characteristics regarding bacteriuria, leukocyturia, and erythrocyturia in relation to cultured uropathogens in specimens from patients with a suspected UTI. We also wanted to evaluate whether the FCA characteristics can identify uropathogens prior to culture. From a prospective study, 1,587 consecutive urine specimens underwent FCA prior to culture during January and February 2012. Outpatients and inpatients (79.6% and 19.4%, respectively) were included, of whom women represented 67.5%. In total, 620 specimens yielded growth, of which Escherichia coli represented 65%, Enterococcus spp. 8%, Klebsiella spp. 7%, and Staphylococcus spp. 5%. For the uropathogens, the outcome of FCA was compared against the results for specimens with E. coli and those with a negative culture. E. coli had high bacterial (median, 17,914/μl), leukocyte (median, 348/μl), and erythrocyte (median, 23/μl) counts. With the exception of Klebsiella spp., the majority of the uropathogens had considerable or significantly lower bacterial counts than that of E. coli. High leukocyte counts were found in specimens with Staphylococcus aureus, Proteus mirabilis, Pseudomonas aeruginosa, and group C streptococci. Elevated erythrocyte counts were found for P. vulgaris, P. aeruginosa, and group C streptococci, as well as for Staphylococcus saprophyticus. In essence, FCA adds new information about the bacterial, leukocyte, and erythrocyte counts in urine specimens for different uropathogens. Based on FCA characteristics, uropathogens can be classified and identified prior to culture. E. coli and Klebsiella spp. have similar FCA characteristics.
尿路感染(UTIs)是第二常见的细菌感染。尿培养是诊断的金标准,但已引入了新技术,如流式细胞术分析(FCA)。本研究的目的是评估FCA在疑似UTI患者标本中与培养出的尿路病原体相关的菌尿、白细胞尿和红细胞尿特征。我们还想评估FCA特征是否能在培养前识别尿路病原体。在一项前瞻性研究中,2012年1月和2月期间,1587份连续尿液标本在培养前接受了FCA检测。纳入了门诊患者和住院患者(分别占79.6%和19.4%),其中女性占67.5%。总共620份标本培养出细菌生长,其中大肠杆菌占65%,肠球菌属占8%,克雷伯菌属占7%,葡萄球菌属占5%。对于尿路病原体,将FCA的结果与大肠杆菌标本和培养阴性标本的结果进行了比较。大肠杆菌的细菌(中位数为17,914/μl)、白细胞(中位数为348/μl)和红细胞(中位数为23/μl)计数较高。除克雷伯菌属外,大多数尿路病原体的细菌计数比大肠杆菌低得多或显著更低。在金黄色葡萄球菌、奇异变形杆菌、铜绿假单胞菌和C组链球菌的标本中发现白细胞计数较高。普通变形杆菌、铜绿假单胞菌、C组链球菌以及腐生葡萄球菌的红细胞计数升高。本质上,FCA为不同尿路病原体的尿液标本中的细菌、白细胞和红细胞计数增加了新信息。基于FCA特征,尿路病原体可在培养前进行分类和识别。大肠杆菌和克雷伯菌属具有相似的FCA特征。