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Assessing Antimicrobial Resistance in Microbial Species from Infected Wounds: A Retrospective perspective View on cancer patients

Author

Listed:
  • Abraham
  • Grover
  • Sudheer
  • Patel
  • Sahu
  • Bhatnagar

Abstract

Background: Conducting an infection evaluation based on microbiological scrutiny, wound evaluation, and infection indicators identification takes a great deal of time, the appropriate tools, and highly skilled personnel. The use of antibiotics and wound healing are the two main strategies required to prevent and manage infections. The medical care of wound infections has made antibiotic resistance an issue of worldwide attention. This research was conducted retrospectively to identify the microorganisms that cause wound infections and their pattern of resistance to treatment. Methods: 315 samples from burn wounds that were infected were used in this investigation. The species that had been divided apart by culture techniques were identified and evaluated using the defunct automated system. Next, several antibiotic susceptibility patterns were applied to the species. Results: Gram-negative species made up the majority of the species, among the most common are Proteus mirabilis, Acinetobacter baumannii, Escherichia coli, and Pseudomonas aeruginosa. The strain Staphylococcus aureus accounted for the total number of gram-positive bacteria, with these samples identified isolates had a multi-drug resistance to at least five antibiotics, compared to isolates with at least one antibiotic resistance. Although individuals noted concurrent infections and multi-drug resistance organisms were not as common at the wound site. Conclusion: These circumstances make getting rid of the germs harder. Antibiotic resistance can be stopped and wound healing can be promoted by addressing the poly-microbial infection and multidrug-resistant bacteria that were found, then treating the infection with the appropriate medication.

Suggested Citation

Handle: RePEc:dbk:health:v:4:y:2025:i::p:593:id:593
DOI: 10.56294/hl2025593
as

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