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SYSMEX UF-1000i 流式细胞仪鉴定尿路感染患者培养阴性尿液标本的新概念和综合评价。

A new concept and a comprehensive evaluation of SYSMEX UF-1000i  flow cytometer to identify culture-negative urine specimens in patients with UTI.

机构信息

Department of Clinical Microbiology, Umeå University Hospital, and University of Umeå, SE-90185, Umeå, Sweden.

Department of Mathematics and Mathematical Statistics, Umeå University, Umeå, Sweden.

出版信息

Eur J Clin Microbiol Infect Dis. 2017 Sep;36(9):1691-1703. doi: 10.1007/s10096-017-2964-1. Epub 2017 Apr 6.

Abstract

Urinary tract infections (UTIs) are among the most common bacterial infections in men and urine culture is gold standard for diagnosis. Considering the high prevalence of culture-negative specimens, any method that identifies such specimens is of interest. The aim was to evaluate a new screening concept for flow cytometry analysis (FCA). The outcomes were evaluated against urine culture, uropathogen species and three conventional screening methods. A prospective, consecutive study examined 1,312 urine specimens, collected during January and February 2012. The specimens were analyzed using the Sysmex UF1000i FCA. Based on the FCA data culture negative specimens were identified in a new model by use of linear discriminant analysis (FCA-LDA). In total 1,312 patients were included. In- and outpatients represented 19.6% and 79.4%, respectively; 68.3% of the specimens originated from women. Of the 610 culture-positive specimens, Escherichia coli represented 64%, enterococci 8% and Klebsiella spp. 7%. Screening with FCA-LDA at 95% sensitivity identified 42% (552/1312) as culture negative specimens when UTI was defined according to European guidelines. The proposed screening method was either superior or similar in comparison to the three conventional screening methods. In conclusion, the proposed/suggested and new FCA-LDA screening method was superior or similar to three conventional screening methods. We recommend the proposed screening method to be used in clinic to exclude culture negative specimens, to reduce workload, costs and the turnaround time. In addition, the FCA data may add information that enhance handling and support diagnosis of patients with suspected UTI pending urine culture [corrected].

摘要

尿路感染(UTI)是男性最常见的细菌感染之一,尿液培养是诊断的金标准。考虑到培养阴性标本的高发生率,任何能识别此类标本的方法都很有意义。本研究旨在评估一种新的流式细胞术分析(FCA)筛选概念。将结果与尿液培养、病原体种类和三种常规筛选方法进行评估。前瞻性连续研究检查了 2012 年 1 月和 2 月采集的 1312 份尿液标本。使用希森美康 UF1000i FCA 对标本进行分析。基于 FCA 数据,通过使用线性判别分析(FCA-LDA)在新模型中鉴定培养阴性标本。共纳入 1312 例患者。门诊和住院患者分别占 19.6%和 79.4%;68.3%的标本来自女性。在 610 份培养阳性标本中,大肠埃希菌占 64%,肠球菌占 8%,肺炎克雷伯菌占 7%。当根据欧洲指南定义 UTI 时,使用 FCA-LDA 进行 95%的灵敏度筛查可将 42%(552/1312)的标本鉴定为培养阴性标本。与三种常规筛选方法相比,该新的筛选方法具有优势或相似性。总之,所提出的 FCA-LDA 筛选方法优于或类似于三种常规筛选方法。我们建议在临床上使用该筛选方法来排除培养阴性标本,以减少工作量、成本和周转时间。此外,FCA 数据还可能提供有助于处理和支持疑似 UTI 患者诊断的信息,而无需等待尿液培养[更正]。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c0b/5554267/3eaf771c830c/10096_2017_2964_Fig1_HTML.jpg

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