Screening and Characterization of Multidrug Resistant Bacteria from Chronic Kidney Disease Patients of Warangal

Author:

Srilaxmi Katyala1ORCID,Munjam Srinivas1ORCID

Affiliation:

1. Department of Microbiology, Kakatiya University, Warangal, Telangana India.

Abstract

With an overall incidence of over 10% within regular population, Chronic kidney disease is an issue that is becoming more and more important in terms of public health. The enhanced risk of infection, especially those brought on by bacteria that are multi-drug resistant, is one of the main side effects of chronic kidney disease. It is essential to screen and identify multidrug resistant bacteria in chronic kidney disease patients, especially those receiving haemodialysis, in order to prevent the transmission of these pathogens. Hence, to improve outcomes for chronic kidney disease patients, early diagnosis and prompt treatment of drug-resistant bacteria are essential. A total of 2219 samples were screened for antibiotic resistant microbes in hospital samples. 445 samples tested positive (20.05 %) for bacterial growth and 1774 samples tested negative (79.94 %). The rate of multidrug resistance bacterial infections was 17% and 43% higher in CKD patients for estimated glomerular filtration rate between 30 and 59 ml/min/1.73m2 and glomerular filtration rate 30 ml/min/1.73m2 respectively. Five bacterial isolates were found to exhibit multi-antibiotic resistance. The Multiple Antibiotic Resistance (MAR) Index ranged from 0.3 to 0.7 across the isolates. The isolates were identified as Enterobacter bugandensis, Enterococcus faecium, Providencia stuartii, Klebsiella variicola, and Escherichia coli by 16S rRNA gene sequencing and phylogenetic analysis. In conclusion, screening and identification of multidrug resistance bacteria is essential to prevent and control the spread of these pathogens and will be helpful for the effective treatment of the multidrug resistance in chronic kidney disease patients.

Publisher

Oriental Scientific Publishing Company

Subject

Drug Discovery,Agronomy and Crop Science,Biotechnology

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