抗菌药敏感性的动态变化以及与耐可乐定细菌感染相关的风险因素:印度哈里亚纳邦北部地区的一项研究。

Polish journal of microbiology Pub Date : 2025-03-26 eCollection Date: 2025-03-01 DOI:10.33073/pjm-2025-008
Shubham Chauhan, Pottathil Shinu, Narinder Kaur, Adesh K Saini, Rosy Bala, Anroop B Nair, Aminur Rahman, Mohamed A Morsy
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引用次数: 0

摘要

抗菌素耐药性对全球健康构成了重大威胁,而可乐定是抵抗耐多药(MDR)微生物的最后一种抗生素。本研究旨在调查印度哈里亚纳邦北部地区与耐可乐定细菌感染相关的抗菌药敏感性模式和风险因素的动态变化。对从哈里亚纳邦一家医院采集的临床样本(n = 12,652)进行了为期五个月的微生物分析。在处理过的全部样本(n = 12,652)中,24%(n = 3,061)的样本出现了致病菌生长。在革兰氏阴性分离菌中,56%(n = 1 242)为非耐药菌,44%(n = 995)为耐药菌。在 MDR 分离物(n = 995)中,6%(n = 57)对可乐定产生耐药性。值得注意的是,假单胞菌属(12%,n = 19)和不动杆菌属(11%,n = 8)对可乐定的耐药性最高,其次分别是克雷伯菌属(5%,n = 13)、大肠埃希菌(3%,n = 16)和弗氏柠檬杆菌(1%,n = 1)。研究显示,受教育程度(人口统计学变量)与出现可乐定耐药性之间存在明显关联。延长住院时间(> 5 天)和特定的合并症,包括糖尿病(p < 0.01)和慢性阻塞性肺病(p < 0.01),被确定为耐秋水仙碱感染的风险因素。重要的是,耐秋水仙素细菌中没有一种携带 mcr 基因,这表明存在其他耐药机制。抗生素敏感性分析表明,阿米卡星和庆大霉素等抗生素对耐药菌株有很好的疗效,但在不同细菌种类之间存在差异。总之,该研究强调了在医疗机构中加强监测、感染控制协议和抗菌药物管理计划的紧迫性,以最大限度地减少耐 MDR 和耐秋水仙碱细菌的传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamics of Antimicrobial Susceptibility and Risk Factors Associated with Infections Caused by Colistin-Resistant Bacteria: A Study from the Northern Region of Haryana, India.

Antimicrobial resistance poses a significant threat to global health, with colistin as a last-resort antibiotic against multidrug-resistant (MDR) microorganisms. The present study aimed to investigate the dynamics of antimicrobial susceptibility patterns and risk factors associated with infections caused by colistin-resistant bacteria in the Northern region of Haryana, India. Clinical samples (n = 12,652) collected from a single hospital in Haryana were subjected to microbiological analysis for five months. Among the total samples (n = 12,652) processed, 24% (n = 3,061) showed growth of pathogenic bacteria. Within the Gram-negative isolates, 56% (n = 1,242) were non-MDR, while 44% (n = 995) were MDR. Among MDR isolates (n = 995), 6% (n = 57) showed resistance to colistin. Notably, Pseudomonas spp. (12%, n = 19) and Acinetobacter spp. (11%, n = 8) demonstrated the highest resistance to colistin, followed by Klebsiella spp. (5%, n = 13), Escherichia coli (3%, n = 16), and Citrobacter freundii (1%, n = 1), respectively. The study revealed significant associations between the level of education (demographic variable) and the occurrence of colistin resistance. Prolonged hospital stays (> 5 days) and specific comorbidities, including diabetes (p < 0.01) and chronic obstructive pulmonary disease (p < 0.01), were identified as risk factors for colistin-resistant infections. Importantly, none of the colistin-resistant bacteria harbored mcr genes, suggesting alternative resistance mechanisms. Antibiotic sensitivity analysis indicated promising efficacy of antibiotics such as amikacin and gentamicin against colistin-resistant strains, though with variations across bacterial species. In summary, the study emphasizes the urgent need for enhanced surveillance, infection control protocols, and antimicrobial stewardship programs in healthcare settings to minimize the dissemination of MDR and colistin-resistant bacteria.

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