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广谱 PCR 检测在儿科肿瘤人群血培养中的细菌鉴定准确性。

Accuracy of Broad-Panel PCR-Based Bacterial Identification for Blood Cultures in a Pediatric Oncology Population.

机构信息

Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.

出版信息

Microbiol Spectr. 2021 Sep 3;9(1):e0022121. doi: 10.1128/Spectrum.00221-21. Epub 2021 Jul 7.

Abstract

Bloodstream infections are a major cause of morbidity and mortality and result in significant costs to health care systems. Rapid identification of the causative agent of bloodstream infections is critical for patient treatment and improved outcomes. Multiplex PCR systems that provide bacterial identification directly from the blood culture bottle allow for earlier detection of pathogens. The GenMark Dx ePlex blood culture identification (BCID) panels have an expanded number of targets for both identification and genotypic markers of antimicrobial resistance. The performance of the ePlex BCID Gram-negative (GN) and Gram-positive (GP) panels were evaluated in a predominantly pediatric oncology population. A total of 112 blood cultures were tested by the ePlex BCID GN and GP panels and results were compared to those from standard-of-care testing. Accuracy for on-panel organisms was 89% (CI, 76% to 95%) for the Gram-positive panel, with four misidentifications and one not detected, and 93% (CI, 82% to 98%) for the Gram-negative panel, with two misidentifications and one not detected. The results showed good overall performance of these panels for rapid, accurate detection of bloodstream pathogens in this high-risk population. Bloodstream infections are a major cause of morbidity and mortality and result in significant costs to health care systems. Rapid identification of the causative agent of bloodstream infections is critical for patient treatment and improved outcomes. Multiplex PCR systems that provide bacterial identification directly from the blood culture bottle allow for earlier characterization of pathogens. The GenMark Dx ePlex blood culture identification (BCID) panels, recently cleared by the FDA, have an expanded number of targets for both identification and resistance, much larger than other, automated, broad-panel PCR assays. The performance of the ePlex BCID Gram-negative and Gram-positive panels was evaluated in a predominantly pediatric oncology population, providing a unique look at its performance in a high-risk group, where rapid diagnostic information for bloodstream infections could be of particular value for clinical care providers.

摘要

血流感染是发病率和死亡率的主要原因,给医疗保健系统造成了巨大的经济负担。快速鉴定血流感染的病原体对于患者的治疗和改善预后至关重要。直接从血培养瓶中提供细菌鉴定的多重 PCR 系统可以更早地发现病原体。GenMark Dx ePlex 血培养鉴定 (BCID) 试剂盒具有扩展的鉴定和抗生素耐药性基因标记物靶标数量,比其他自动化广谱 PCR 检测试剂盒更多。ePlex BCID 革兰氏阴性菌 (GN) 和革兰氏阳性菌 (GP) 试剂盒的性能在以儿科肿瘤患者为主的人群中进行了评估,为其在高危人群中的表现提供了独特的视角,因为对于临床医护人员来说,血流感染的快速诊断信息可能具有特别重要的临床价值。该人群中共有 112 份血培养物经 ePlex BCID GN 和 GP 试剂盒检测,结果与标准护理检测进行了比较。革兰氏阳性菌试剂盒的目标菌鉴定准确率为 89%(置信区间,76%至 95%),有 4 次误报和 1 次漏检;革兰氏阴性菌试剂盒的准确率为 93%(置信区间,82%至 98%),有 2 次误报和 1 次漏检。结果表明,这些试剂盒在该高危人群中对快速、准确检测血流病原体具有良好的整体性能。

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5
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6
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7
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8
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Healthcare (Basel). 2018 Jul 30;6(3):90. doi: 10.3390/healthcare6030090.
9
Multiplex PCR system for the rapid diagnosis of respiratory virus infection: systematic review and meta-analysis.
Clin Microbiol Infect. 2018 Oct;24(10):1055-1063. doi: 10.1016/j.cmi.2017.11.018. Epub 2017 Dec 5.
10
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