Identification of Community- and Hospital Pulmonary Bacterial Infection Using Culture and PCR Panel in COVID-19

Author:

Winter Ronal,Sugianli Adhi Kristianto,Parwati Ida

Abstract

Co-infection or secondary infection is associated with a worse outcome in COVID-19. Information concerning the distribution of pathogenic microbes in COVID-19 has yet to be widely studied. This study aims to evaluate the distribution of bacterial infection in COVID-19, detected using conventional culture and molecular methods. This study was conducted in March-May 2021 in Dr. Hasan Sadikin General Hospital, with a study population of moderate, severe, and critical COVID-19 patients. Microorganisms were identified and analyzed from expectorant sputum or Endotracheal tube aspirates using conventional culture methods (VITEK 2 Compact) and multiplex PCR pneumonia panel (Biofire). Data was presented in a table and figures to describe the organism profile among the two methods. From the 450 COVID-19 patients, 59 subjects were included. The positivity rate of microbial identification reached 79.7% in both methods, dominated by Gram-negative bacteria for both community and hospital-acquired infections. The pathogens most frequently detected using conventional methods and multiplex PCR were Acinetobacter baumanii (15.3%; 23.7%) and Klebsiella pneumoniae (23.7%; 28.8%). The multiplex PCR method detected Haemophilus influenzae (15.3%) and respiratory viruses (3.4%), which conventional methods could not detect. Gram-negative bacteria were the most frequent pathogen in COVID-19 in both populations. The multiplex PCR method has the advantage due to its shorter examination time. The application of both methods helps determine antibiotic therapy for COVID-19. Both methods identified Klebsiella pneumoniae and Acinetobacter baumanii as the dominant bacteria in both populations. This study helps establish antibiotic management in COVID-19, thus preventing antibiotic resistance.

Publisher

PDS Patklin

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