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使用sediMAX自动显微镜分析仪筛查尿样以确定是否存在尿路感染。

Screening urine samples for the absence of urinary tract infection using the sediMAX automated microscopy analyser.

作者信息

Sterry-Blunt Rosanne E, S Randall Karen, J Doughton Michael, H Aliyu Sani, A Enoch David

机构信息

Clinical Microbiology & Public Health Laboratory, Peterborough and Stamford Hospitals NHS Foundation Trust, Peterborough City Hospital, Bretton Gate, Peterborough PE3 9GZ, UK.

PHE - Public Health Laboratory, Cambridge, Box 236, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0QW, UK.

出版信息

J Med Microbiol. 2015 Jun;64(6):605-609. doi: 10.1099/jmm.0.000064. Epub 2015 Apr 8.

Abstract

Urinalysis culminates in a workload skew within the clinical microbiology laboratory. Routine processing involves screening via manual microscopy or biochemical dipstick measurement, followed by culture for each sample. Despite this, as many as 80% of specimens are reported as negative; thus, there is vast wastage of resources and time, as well as delayed turnaround time of results as numerous negative cultures fulfil their required incubation time. Automation provides the potential for streamlining sample screening by efficiently (>30% sample exclusion) and reliably [negative predictive value (NPV) ≥ 95%] ruling out those likely to be negative, whilst also reducing resource usage and hands-on time. The present study explored this idea by using the sediMAX automated microscopy urinalysis platform. We prospectively collected and processed 1411 non-selected samples directly after routine laboratory processing. The results from this study showed multiple optimum cut-off values for microscopy. However, although optimum cut-off values permitted rule-out of 40.1% of specimens, an associated 87.5% NPV was lower than the acceptable limit of 95%. Sensitivity and specificity of leukocytes and bacteria in determining urinary tract infection was assessed by receiver operator characteristic curves with area under the curve values found to be 0.697 [95% confidence interval (CI): 0.665-0.729] and 0.587 (95% CI: 0.551-0.623), respectively. We suggested that the sediMAX was not suitable for use as a rule-out screen prior to culture and further validation work must be carried out before routine use of the analyser.

摘要

尿液分析最终导致临床微生物实验室的工作量失衡。常规处理包括通过手工显微镜检查或生化试纸测量进行筛查,然后对每个样本进行培养。尽管如此,多达80%的标本报告为阴性;因此,存在大量资源和时间的浪费,以及结果周转时间的延迟,因为大量阴性培养物需要完成所需的孵育时间。自动化提供了通过高效(>30%的样本排除)和可靠(阴性预测值[NPV]≥95%)排除可能为阴性的样本从而简化样本筛查的潜力,同时还能减少资源使用和人工操作时间。本研究通过使用sediMAX自动显微镜尿液分析平台探索了这一想法。我们在常规实验室处理后直接前瞻性收集并处理了1411份未选择的样本。本研究结果显示了显微镜检查的多个最佳临界值。然而,尽管最佳临界值允许排除40.1%的标本,但相关的87.5%的NPV低于可接受的95%的限值。通过受试者工作特征曲线评估白细胞和细菌在确定尿路感染方面的敏感性和特异性,曲线下面积值分别为0.697[95%置信区间(CI):0.665 - 0.729]和0.587(95%CI:0.551 - 0.623)。我们认为sediMAX不适合在培养前用作排除筛查,在该分析仪常规使用之前必须进行进一步的验证工作。

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