Clinical and microbiological patterns in critically ill patients with catheter-associated UTI: A report from Iran

Author:

Salehi Mohammadreza,Robati Dariush,SeyedAlinaghi SeyedAhmadORCID,Seifi ArashORCID,Aliramezani AmirORCID,Dehghan Manshadi Seyed AliORCID,Afarinesh Khaki PegahORCID,Zamani FaribaORCID

Abstract

Introduction: Catheter-associated urinary tract infections (CAUTIs) are among the most common nosocomial infections with different clinical and microbiological characteristics. We studied these characteristics in critically ill patients. Methodology: This research was a cross-sectional study conducted on intensive care unit (ICU) patients with CAUTI. Patients’ demographic and clinical information and laboratory data, including causative microorganisms and antibiotic susceptibility tests, were recorded and analyzed. Finally, the differences between the patients who survived and died were compared. Results: After reviewing 353 ICU cases, 80 patients with CAUTI were finally included in the study. The mean age was 55.9 ± 19.1 years, 43.7% were male and 56.3% were female. The mean length of infection development since hospitalisation and hospital stay were 14.7 (3–90) and 27.8 (5–98) days, respectively. The most common symptom was fever (80%). The microbiological identification showed that the most isolated microorganisms were Multidrug-resistant (MDR) Enterobacteriaceae (75%), Pseudomonas aeruginosa (8.8%), Gram-positive uropathogens (8.8%) and Acinetobacter baumannii (5%). Fifteen patients (18.8%) died among whom infections with A. baumannii (75%) and P. aeruginosa (57.1%) were associated with more death (p = 0.005). Conclusions: Although A. baumannii and P. aeruginosa can be the most important pathogens for death, MDR Enterobacteriaceae are still a serious concern as causes of CAUTIs.

Publisher

Journal of Infection in Developing Countries

Subject

Virology,Infectious Diseases,General Medicine,Microbiology,Parasitology

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