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采用 Sysmex UF-5000 流式细胞术快速诊断尿路感染及验证对菌数截止值的携带率的重要性。

Use of Sysmex UF-5000 flow cytometry in rapid diagnosis of urinary tract infection and the importance of validating carryover rates against bacterial count cut-off.

机构信息

Department of Medical Microbiology, St. Olavs Hospital, Trondheim, Norway.

Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.

出版信息

J Med Microbiol. 2021 Dec;70(12). doi: 10.1099/jmm.0.001472.

Abstract

Urinary tract infections are common bacterial infections worldwide. Urine culture is the gold standard method to identify and quantify the presence or absence of bacteria in urine. Flow cytometry, which can differentiate and quantify multiple particles (including bacteria) in the urine, presents an alternative method for rapid screening to rule out bacteriuria. Adding flow cytometry to identify urine samples without bacteriuria could substantially reduce the number of urine samples that need to be cultured as well as the response time for negative results. However, the level of instrument rinsing between samples could affect sample-to-sample carryover rate, a concept given little attention in previous studies. We aimed to evaluate urine flow cytometry as a rapid screening method to identify urine samples without significant bacterial growth, including analyses of cross-contamination and sample-to-sample carryover rate. We analysed 3919 urine samples by quantitative urine culture and flow cytometry screening (Sysmex UF-5000). Receiver operator characteristic (ROC) curve analyses were used to test method agreement to identify: (a) positive vs. negative culture and (b) mixed vs. pure culture. In addition, we performed carryover and cross-contamination studies. ROC curve analyses identified bacterial count (BACT ml) and leucocyte count (WBC µl) as possible predictors of bacterial growth in the total material and subpopulations, except pregnant women (=451). This subgroup was excluded from further analyses, leaving a final 3468 urine samples. Area under the ROC curve was 0.94 (95 % CI 0.93-0.95) and 0.81 (95 % CI 0.79-0.82) for bacterial and leucocyte count, respectively. A bacterial count cut-off of 30 BACT ml resulted in 95.2 % sensitivity and 91.2 % negative predictive value, resulting in approximately 30 % of urine samples that could be reported as negative without culture. Use of high-level rinse modes was necessary to ensure carryover rates <0.05 %. Flow cytometry is a suitable and rapid method to rule out urine samples without significant bacterial growth. Rinses between samples should be adjusted, depending on the cut-off used, to prevent sample-to-sample carryover, whereas cross-contamination can be eliminated by the use of separate urine aliquots for flow cytometry analysis and urine culturing respectively.

摘要

尿路感染是全球范围内常见的细菌感染。尿液培养是识别和定量尿液中细菌存在或不存在的金标准方法。流式细胞术可以区分和定量尿液中的多种颗粒(包括细菌),为快速筛选提供了替代方法,可排除菌尿。添加流式细胞术来识别无菌尿的尿液样本,可以大大减少需要培养的尿液样本数量以及阴性结果的反应时间。然而,样品之间的仪器冲洗水平可能会影响样品间的交叉污染率,这是之前研究中很少关注的概念。我们旨在评估流式细胞术作为一种快速筛选方法,以识别无明显细菌生长的尿液样本,包括交叉污染和样品间携带率的分析。我们通过定量尿液培养和流式细胞术筛选(Sysmex UF-5000)分析了 3919 个尿液样本。接受者操作特征(ROC)曲线分析用于测试方法一致性,以识别:(a)阳性与阴性培养和(b)混合与纯培养。此外,我们进行了携带和交叉污染研究。ROC 曲线分析确定细菌计数(BACT ml)和白细胞计数(WBC µl)是总物质和亚群中细菌生长的可能预测因子,除了孕妇(=451)。这个亚组被排除在进一步的分析之外,留下了最终的 3468 个尿液样本。ROC 曲线下面积分别为 0.94(95%CI 0.93-0.95)和 0.81(95%CI 0.79-0.82),用于细菌和白细胞计数。细菌计数截断值为 30 BACT ml 时,灵敏度为 95.2%,阴性预测值为 91.2%,约有 30%的尿液样本无需培养即可报告为阴性。需要使用高级冲洗模式来确保携带率<0.05%。流式细胞术是一种合适且快速的方法,可以排除无明显细菌生长的尿液样本。应根据使用的截断值调整样品之间的冲洗,以防止样品间携带,而交叉污染可以通过分别使用单独的尿液等分试样用于流式细胞术分析和尿液培养来消除。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b271/8744275/99208e96f7a4/jmm-70-1472-g001.jpg

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