Identification of the most common pathogenic bacteria in patients with suspected sepsis by multiplex PCR

Author:

Arabestani Mohammad Reza,Fazzeli Hossein,Nasr Esfahani Bahram

Abstract

Introduction: Staphylococcus aureus, coagulase-negative staphylococci, Enterococcus spp., Enterobacteriaceae, Pseudomonas aeruginosa, and Acinetobacter baumanii have been found to be the most prevalent bacteremia-causing bacteria in patients with septicemia. Early detection of bloodstream infection (BSI) is crucial in the clinical setting. A multiplex PCR method for identification of these agents in clinical samples has been developed in parallel by conventional microbiological methods. Methodology: The target genes selected for each of the organisms were very specific for designing primers. Design of primers was done using Mega4, Allel ID6, Oligo6, and Oligo analyzer software. The test comprises a universal PCR from the 16S rDNA gene and multiplex PCR from the rpoB, gyrA, sss, and chromosome X (as an internal control). Results: The sensitivity and specificity for universal PCR and multiplex PCR in comparison with BC were 83.87% and 91.58%, and 74.19% and 91.58%, respectively. The positive predictive value (PPV) and the negative predictive value (NPV) for these two PCRs were 76.47% and 94.57%, and 74.19% and 91.58%, respectively. PCR failed to identify bacteria which were found conventionally in only 3.96% and 6.34% of the cases by universal and multiplex PCR (mostly bacteria not included in the PCR cassette). In 6.34% of the cases, multiplex PCR afforded identification of bacteria, but BC showed no bacteria in the sample. Conclusions: The multiplex PCR approach facilitates the detection of bacteremia in blood samples within a few hours. Rapid detection of bacteria by multiplex PCR appears to be a valuable tool, allowing earlier pathogen-adopted antimicrobial therapy in critically ill patients.

Publisher

Journal of Infection in Developing Countries

Subject

Virology,Infectious Diseases,General Medicine,Microbiology,Parasitology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3