Etiology and Antimicrobial Resistance Pattern of Sepsis and Urinary Tract Infections in HIV-Infected Patients from Southwestern Iran

Publish Year: 1398
نوع سند: مقاله ژورنالی
زبان: English
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JR_IEM-5-4_005

تاریخ نمایه سازی: 25 تیر 1400

Abstract:

Backgrounds: Sepsis is a systemic inflammatory response syndrome triggered by an infectious agent and an important cause of admission to intensive care units (ICU), especially in immunodeficient patients. The aim of this study was to determine the spectrum of bacterial etiology and antibacterial susceptibility pattern of sepsis and urinary tract infections (UTIs) in Iranian HIV-infected patients.Materials & Methods: This retrospective cross-sectional study was conducted on HIV/AIDS patients for a period of ten years from January ۲۰۰۵ to January ۲۰۱۵ at two major hospitals in southwestern Iran. Standard microbiological methods were used for the isolation and identification of bacteria from samples. Antimicrobial susceptibility tests were done using disk diffusion method.Findings: Out of ۲۲۸ samples collected, the frequency of culture-positive blood and urine samples was ۲۳.۲% (n = ۵۳) and ۹.۶% (n=۲۲), respectively. Among culture-positive blood samples, Staphylococcus aureus (N = ۱۷, ۳۲.۱%) and Pseudomonas (N = ۵, ۹.۴%) were the main etiologic agents. While among ۲۲ culture-positive urine samples, the predominant bacteria were Enterococci (N = ۷, ۳۱.۸%) and Escherichia coli (N = ۵, ۲۲.۷%). Antibacterial susceptibility testing results showed that Gram-positive bacteria were mostly susceptible to vancomycin, rifampin, and co-trimoxazole; meanwhile, Gram-negative bacteria were mostly susceptible against tobramycin, amoxicillin/clavulanate, and aztreonam.Conclusions: In summary, this study findings highlighted the emergence and spread of opportunistic infections and a high level of antibiotic resistance among HIV-infected patients; therefore, restricted infection control strategies must be pursued in these hospitals.

Authors

Nahal Hadi

PhD, Department of Bacteriology and Virology, School of medicine, Shiraz University of Medical Sciences, Shiraz, Iran- Bioinformatics and Computational Biology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran

Zahra Sakhaee

MD, Bioinformatics and Computational Biology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran