首页> 外文期刊>Journal of Clinical Microbiology >Flow Cytometry Analysis Using Sysmex UF-1000i Classifies Uropathogens Based on Bacterial, Leukocyte, and Erythrocyte Counts in Urine Specimens among Patients with Urinary Tract Infections
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Flow Cytometry Analysis Using Sysmex UF-1000i Classifies Uropathogens Based on Bacterial, Leukocyte, and Erythrocyte Counts in Urine Specimens among Patients with Urinary Tract Infections

机译:使用Sysmex UF-1000i进行的流式细胞术分析基于尿道感染患者尿液中细菌,白细胞和红细胞计数对尿液病原体进行分类

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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.
机译:尿路感染(UTI)是第二常见的细菌感染。尿培养是诊断的金标准,但是已经引入了新技术,例如流式细胞术分析(FCA)。本研究的目的是评估与怀疑尿路感染患者标本中培养的尿毒症有关的细菌尿,白细胞尿和红细胞尿的FCA特征。我们还想评估FCA特性在培养之前是否可以识别尿毒症。根据一项前瞻性研究,2012年1月和2012年2月,在培养之前连续对1587例尿液标本进行了FCA检查。其中包括门诊和住院患者(分别为79.6%和19.4%),其中女性占67.5%。总共有620个标本生长,其中大肠杆菌占肠球菌的65%。 8%,克雷伯菌属。 7%,葡萄球菌属。 5%。对于尿路致病菌,将FCA的结果与大肠杆菌标本和培养阴性的标本的结果进行比较。大肠杆菌具有较高的细菌计数(中位数为17,914 /μl),白细胞计数(中位数为348 /μl)和红细胞计数(中位数为23 /μl)。除克雷伯氏菌属以外,大多数尿路致病菌的细菌数均比大肠杆菌大得多或显着降低。在带有金黄色葡萄球菌,变形杆菌,铜绿假单胞菌和C组链球菌的标本中发现高白细胞计数。发现寻常型体育,铜绿假单胞菌和C组链球菌以及腐生葡萄球菌的红细胞计数升高。从本质上讲,FCA会添加有关尿液病原体尿液样本中细菌,白细胞和红细胞计数的新信息。基于FCA的特征,可以在培养前对尿路致病菌进行分类和鉴定。大肠杆菌和克雷伯菌属。具有相似的FCA特性。

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