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Rapid molecular detection of pathogenic microorganisms and antimicrobial resistance markers in blood cultures: evaluation and utility of the next-generation FilmArray Blood Culture Identification 2 panel.血培养中致病微生物和抗菌药物耐药性标志物的快速分子检测:下一代 FilmArray Blood Culture Identification 2 试剂盒的评估与应用。
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Machine-Learning Model for Prediction of Cefepime Susceptibility in Escherichia coli from Whole-Genome Sequencing Data.基于全基因组测序数据的大肠埃希菌头孢吡肟药敏性预测机器学习模型。
J Clin Microbiol. 2023 Mar 23;61(3):e0143122. doi: 10.1128/jcm.01431-22. Epub 2023 Feb 22.
2
Infectious Diseases Society of America Guidance on the Treatment of AmpC β-Lactamase-Producing Enterobacterales, Carbapenem-Resistant Acinetobacter baumannii, and Stenotrophomonas maltophilia Infections.美国传染病学会关于治疗产 AmpC β-内酰胺酶肠杆菌科、耐碳青霉烯类鲍曼不动杆菌和嗜麦芽窄食单胞菌感染的指南。
Clin Infect Dis. 2022 Jul 6;74(12):2089-2114. doi: 10.1093/cid/ciab1013.
3
Reply to Pogue and Heil, "The Clinical Impact of a Negative Molecular β-Lactamase Gene Test for : Let's Not Let Perfect Be the Enemy of Really Good".对波格和海尔的回复,“分子β-内酰胺酶基因阴性检测的临床影响:我们不要让完美成为真正优秀的敌人”
J Clin Microbiol. 2020 Mar 25;58(4). doi: 10.1128/JCM.02114-19.
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Evaluation of Empiric β-Lactam Susceptibility Prediction among by Molecular β-Lactamase Gene Testing.基于分子β-内酰胺酶基因检测评估对 的经验性β-内酰胺类药物敏感性预测。
J Clin Microbiol. 2019 Sep 24;57(10). doi: 10.1128/JCM.00674-19. Print 2019 Oct.
5
Effect of Piperacillin-Tazobactam vs Meropenem on 30-Day Mortality for Patients With E coli or Klebsiella pneumoniae Bloodstream Infection and Ceftriaxone Resistance: A Randomized Clinical Trial.哌拉西林-他唑巴坦与美罗培南对产 ESBLs 的大肠埃希菌或肺炎克雷伯菌血流感染且对头孢曲松耐药患者 30 天死亡率的影响:一项随机临床试验。
JAMA. 2018 Sep 11;320(10):984-994. doi: 10.1001/jama.2018.12163.
6
The Cost-Effectiveness of Rapid Diagnostic Testing for the Diagnosis of Bloodstream Infections with or without Antimicrobial Stewardship.快速诊断检测在有或没有抗菌药物管理的情况下用于诊断血流感染的成本效益。
Clin Microbiol Rev. 2018 May 30;31(3). doi: 10.1128/CMR.00095-17. Print 2018 Jul.
7
Impact of antimicrobial stewardship and rapid microarray testing on patients with Gram-negative bacteremia.抗菌药物管理和快速微阵列检测对革兰氏阴性菌血症患者的影响。
Eur J Clin Microbiol Infect Dis. 2017 Oct;36(10):1879-1887. doi: 10.1007/s10096-017-3008-6. Epub 2017 May 23.
8
Two-sided confidence intervals for the single proportion: comparison of seven methods.单比例的双侧置信区间:七种方法的比较
Stat Med. 1998 Apr 30;17(8):857-72. doi: 10.1002/(sici)1097-0258(19980430)17:8<857::aid-sim777>3.0.co;2-e.

多中心评估 BIOFIRE 血培养鉴定 2 面板在阳性血培养样本中检测细菌、酵母菌和抗菌药物耐药基因的性能。

Multicenter Evaluation of the BIOFIRE Blood Culture Identification 2 Panel for Detection of Bacteria, Yeasts, and Antimicrobial Resistance Genes in Positive Blood Culture Samples.

机构信息

Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.

Department of Laboratory Medicine, Cleveland Clinic, Cleveland, Ohio, USA.

出版信息

J Clin Microbiol. 2023 Jun 20;61(6):e0189122. doi: 10.1128/jcm.01891-22. Epub 2023 May 25.

DOI:10.1128/jcm.01891-22
PMID:37227281
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10281132/
Abstract

Diagnostic tools that can rapidly identify and characterize microbes growing in blood cultures are important components of clinical microbiology practice because they help to provide timely information that can be used to optimize patient management. This publication describes the bioMérieux BIOFIRE Blood Culture Identification 2 (BCID2) Panel clinical study that was submitted to the U.S. Food & Drug Administration. Results obtained with the BIOFIRE BCID2 Panel were compared to standard-of-care (SoC) results, sequencing results, PCR results, and reference laboratory antimicrobial susceptibility testing results to evaluate the accuracy of its performance. Results for 1,093 retrospectively and prospectively collected positive blood culture samples were initially enrolled, and 1,074 samples met the study criteria and were included in the final analyses. The BIOFIRE BCID2 Panel demonstrated an overall sensitivity of 98.9% (1,712/1,731) and an overall specificity of 99.6% (33,592/33,711) for Gram-positive bacteria, Gram-negative bacteria and yeast targets which the panel is designed to detect. One hundred eighteen off-panel organisms, which the BIOFIRE BCID2 Panel is not designed to detect, were identified by SoC in 10.6% (114/1,074) of samples. The BIOFIRE BCID2 Panel also demonstrated an overall positive percent agreement (PPA) of 97.9% (325/332) and an overall negative percent agreement (NPA) of 99.9% (2,465/2,767) for antimicrobial resistance determinants which the panel is designed to detect. The presence or absence of resistance markers in correlated closely with phenotypic susceptibility and resistance. We conclude that the BIOFIRE BCID2 Panel produced accurate results in this clinical trial.

摘要

用于快速鉴定和特征分析血培养中微生物的诊断工具是临床微生物学实践的重要组成部分,因为它们有助于提供可用于优化患者管理的及时信息。本出版物介绍了向美国食品和药物管理局提交的 bioMérieux BIOFIRE 血培养鉴定 2 (BCID2) 面板临床研究。将 BIOFIRE BCID2 面板的结果与标准护理 (SoC) 结果、测序结果、PCR 结果和参考实验室抗菌药物敏感性测试结果进行比较,以评估其性能的准确性。最初纳入了 1,093 份回顾性和前瞻性采集的阳性血培养样本的结果,1,074 份样本符合研究标准并纳入最终分析。BIOFIRE BCID2 面板对其设计检测的革兰氏阳性菌、革兰氏阴性菌和酵母靶标,总体敏感性为 98.9%(1,712/1,731),总体特异性为 99.6%(33,592/33,711)。SoC 在 10.6%(114/1,074)的样本中鉴定出了 118 种不在面板内的微生物,这些微生物不在 BIOFIRE BCID2 面板的设计检测范围内。BIOFIRE BCID2 面板还对其设计检测的抗菌药物耐药决定因素,表现出了总体阳性符合率 (PPA) 为 97.9%(325/332)和总体阴性符合率 (NPA) 为 99.9%(2,465/2,767)。该面板检测到的耐药标记物的存在与否与表型药敏性和耐药性密切相关。我们得出结论,BIOFIRE BCID2 面板在这项临床试验中得出了准确的结果。