Dabhi Milan, Prajapati Jignesh, Panchal Janki, Kapadiya Bhavin, Saraf Meenu, Rawal Rakesh M, Goswami Dweipayan
Department of Microbiology and Biotechnology, University School of Sciences, Gujarat University, Ahmedabad, Gujarat 380009 India.
Department of Biochemistry and Forensic Science, University School of Sciences, Gujarat University, Ahmedabad, Gujarat 380009 India.
Indian J Microbiol. 2024 Dec;64(4):1769-1786. doi: 10.1007/s12088-024-01233-6. Epub 2024 Mar 17.
Antimicrobial resistance (AMR) is an escalating global concern, particularly in developing countries like India. A 1-year prospective study was conducted on AMR in human pathogens from Ahmedabad, India. The study aimed to generate an evidence-based database on the AMR profile of pathogens in this region. The study analysed 2204 organisms isolated from various clinical specimens. WHONET software, a specialized tool for AMR data management and interpretation, was used for data management and analysis. The most frequently isolated pathogens were , , , . These pathogens demonstrated varying resistance rates to different antibiotics. shows a high prevalence of MDR (57%), with 22% indicating possible XDR and 13% showing possible PDR. showed even higher rates of MDR (80%), with 57% indicating possible XDR and 54% possible PDR. showed MDR in 51% of the isolates, with 11% showing possible XDR and 1% showing possible PDR. The study also identified some priority pathogens according to the World Health Organization (WHO) criteria based on their resistance to specific antibiotics. The study highlighted the significant prevalence of AMR, particularly MDR, among human pathogens in Ahmedabad, emphasizing the need for effective strategies to combat AMR in clinical settings and public health policies. The study has significant implications for understanding the epidemiology and transmission of AMR in this region, as well as for informing the development of guidelines and interventions for rational antibiotic use and infection control.
抗菌药物耐药性(AMR)是一个日益严重的全球问题,在印度等发展中国家尤为突出。对来自印度艾哈迈达巴德的人类病原体的抗菌药物耐药性进行了为期1年的前瞻性研究。该研究旨在建立一个基于证据的该地区病原体抗菌药物耐药性概况数据库。该研究分析了从各种临床标本中分离出的2204种微生物。使用WHONET软件(一种用于抗菌药物耐药性数据管理和解释的专业工具)进行数据管理和分析。最常分离出的病原体是 , , , 。这些病原体对不同抗生素表现出不同的耐药率。 显示多重耐药(MDR)的高流行率(57%),22%表明可能为广泛耐药(XDR),13%显示可能为泛耐药(PDR)。 显示出更高的MDR率(80%),57%表明可能为XDR,54%可能为PDR。 显示51%的分离株存在MDR,11%显示可能为XDR,1%显示可能为PDR。该研究还根据世界卫生组织(WHO)的标准,根据其对特定抗生素的耐药性确定了一些重点病原体。该研究强调了在艾哈迈达巴德的人类病原体中AMR,特别是MDR的显著流行,强调了在临床环境和公共卫生政策中制定有效策略来对抗AMR的必要性。该研究对于了解该地区AMR的流行病学和传播,以及为合理使用抗生素和感染控制的指南及干预措施的制定提供信息具有重要意义。