Investigating the Prevalence of Bacterial Infections in Patients with Coronavirus Disease 2019 Hospitalized in

Somaye Shiralizadeh1, Masoud Azimzadeh1, Fariba Keramat2,3

  • 1Department of Microbiology, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan, IR Iran.

PubMed
Abstract

Insights

Bacterial co-infections in COVID-19 patients are common, with Klebsiella pneumoniae and Acinetobacter baumannii being prevalent. High antibiotic resistance rates were observed, highlighting the need for targeted treatment strategies.

Area of Science:

  • Medical Microbiology
  • Infectious Diseases
  • Antimicrobial Resistance

Background:

  • Hospitalized COVID-19 patients, especially in ICUs, face risks of bacterial and fungal co-infections.
  • These co-infections can lead to severe outcomes, including increased mortality.
  • Antibiotic resistance poses a significant, often overlooked, threat in the context of COVID-19.

Purpose of the Study:

  • To investigate the prevalence of bacterial co-infections in intensive care unit (ICU) patients with COVID-19.
  • To identify common bacterial pathogens and determine their antimicrobial susceptibility patterns.
  • To inform treatment strategies and combat rising antibiotic resistance.

Main Methods:

  • Bacterial isolates were collected from COVID-19 ICU patients between September 2020 and August 2021.
  • Patient COVID-19 status was confirmed using clinical symptoms, CT scans, and PCR.
  • Standard biochemical tests identified bacteria, while antimicrobial susceptibility was assessed via disc diffusion and broth microdilution.

Main Results:

  • A total of 207 bacterial isolates were identified. Klebsiella pneumoniae (33.33%) and Acinetobacter baumannii (28.15%) were the most frequent.
  • High resistance rates were noted: K. pneumoniae showed ~95% resistance to ceftazidime/cefotaxime and ~92% to ciprofloxacin/cefepime.
  • A. baumannii isolates exhibited 100% resistance to cefotaxime, ceftriaxone, and cefepime. Staphylococcus aureus displayed resistance to vancomycin (22.22%) and other antibiotics.

Conclusions:

  • Understanding bacterial co-infections and resistance patterns in COVID-19 patients is crucial.
  • This knowledge aids in selecting effective antibiotic treatments.
  • Proactive management can help prevent the further spread of antibiotic resistance.

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