从三级癌症医院脓液样本中分离出的铜绿假单胞菌的抗生素耐药性模式

Kapil Surve, M. N. Khaparkhuntikar, Nazneen S. Siddiqui, J. Iravane
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摘要

背景:铜绿假单胞菌是导致癌症患者感染的最常见机会性微生物之一。本研究旨在确定癌症患者对铜绿假单胞菌和耐多药(MDR)分离株的抗生素敏感性:这项回顾性研究于 2022 年 1 月至 2022 年 12 月在奥兰加巴德政府癌症医院进行。共从 IPD 和 OPD 患者处采集了 143 份脓液样本。脓液样本按照标准程序采集,并接种在血液和麦康凯琼脂上。分离出的菌株按照标准方案通过生化测试进行鉴定。根据临床和实验室标准协会(CLSI)2022 号指南,使用柯比-鲍尔盘扩散法和 VITEK 2 自动化系统对每种分离物的抗生素敏感性模式进行检查。数据分析采用 SPSS 22 版统计软件进行:在 143 份临床样本中,33 份样本(23%)铜绿假单胞菌生长呈阳性,患者的平均年龄为 50 岁。大多数分离株对多粘菌素 B 32 株(96%)和大肠杆菌素 32 株(96%)有反应;但对庆大霉素、头孢他啶和阿米卡星的耐药性较高,分别为 66%、60% 和 57%。 结论这项基于医院的回顾性研究将有助于实施更好的感染控制策略,并提高临床医生对抗生素耐药模式的认识。因此,有必要制定抗生素管理计划,以监控三级癌症医院的耐药模式。
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Antibiotic resistance pattern of Pseudomonas aeruginosa isolated from pus samples at tertiary care cancer hospital
Background: Pseudomonas aeruginosa is one of the most frequent opportunistic microorganisms causing infections in cancer patients. The aim of the study was to determine the antibiotic susceptibility of Pseudomonas aeruginosa and multidrug-resistant (MDR) isolates in cancer patients. Methods: A retrospective study was conducted from January 2022 to December 2022 at Government Cancer Hospital, Aurangabad. A total of 143 pus samples were collected from both IPD and OPD patients. Pus samples were collected as per standard procedure and were inoculated on blood and MacConkey agar. The isolates were identified by standard protocols using biochemical tests. The antibiotic susceptibility pattern of each isolate was checked as per Clinical and Laboratory Standards Institute (CLSI) guidelines 2022 using Kirby-Bauer's disc diffusion method and VITEK 2 Automation. Data analysis was done by statical method with statistical software SPSS version 22. Results: Out of 143 clinical samples 33 samples (23%) were positive for Pseudomonas aeruginosa growth. mean age of patients was 50 years old out of 33 isolates 12 (36%) isolates were multidrug-resistant, 11 (33%) isolates were extensively drug-resistant and 1 (3%) were pan-drug-resistant. The majority of isolates were responsive to polymyxin B 32 (96%) and colistin 32 (96%); However, the resistance to gentamycin, ceftazidime, and amikacin was higher, at 66%, 60%, and 57%, respectively.   Conclusions: This hospital-based retrospective study will help to implement better infection control strategies and improve the knowledge of antibiotic resistance patterns among clinicians. Thus, there is a need for an antibiotic stewardship program to monitor the resistant pattern in a tertiary care   cancer hospital.
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