Background: Diabetic wound infections are susceptible to various pathogens, particularly bacteria, due to the immunocompromised state of diabetic patients. is frequently implicated in diabetic wounds. To ascertain the presence of multiple antibiotic resistance in bacterial pathogens derived from diabetic wound infections, a comprehensive analysis is required.
Materials And Methods: The present cross-sectional investigation was carried out at a tertiary care facility. The samples were collected in aseptic conditions from the Endocrinology unit, specifically from local in-hospital patients (n=140). These samples were then assessed for their susceptibility to the commonly used antibacterial medications within the study area. The specimens were obtained from the lesions of individuals diagnosed with diabetes. The subjects were subjected to inoculation using various media and cultures.
Results: The findings of this study revealed that a collective sum of 122 bacterial isolates was acquired. The conclusions of the antibiotic susceptibility analysis revealed that the gram-positive isolates had a higher level of resistance to penicillin G (93.18%). However, they demonstrated sensitivity to vancomycin (100%) and linezolid (LZD) (95%). The gram-negative isolates exhibited complete resistance, at a rate of 100%, to penicillin, specifically amoxicillin (AMC), as well as to sulfonamides, such as sulfamethoxazole/trimethoprim (SXT), which belong to the antibiotic classes mentioned.
Conclusion: In conclusion, there has been a notable rise in antibiotic resistance.
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http://dx.doi.org/10.7759/cureus.47681 | DOI Listing |
BMC Infect Dis
December 2024
Clinical Pharmacy Department, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Background: The World Health Organization (WHO) has identified carbapenem-resistant Pseudomonas aeruginosa (CRPA) as one of the three critical priority pathogens. There is scarce literature evaluating the treatment outcomes in patients with CRPA infections treated with traditional non-carbapenem β-lactam (NCBL) agents. Thus, this study aims to assess the effectiveness of traditional NCBL compared to novel β-lactam agents (NVL) for treating non-carbapenem β-lactam -susceptible CRPA.
View Article and Find Full Text PDFBMC Med
December 2024
Foodborne and Waterborne Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Background: Helicobacter pylori infection causes gastritis, peptic ulcers, and gastric cancer. The infection is typically acquired in childhood and persists throughout life. The major impediment to successful therapy is antibiotic resistance.
View Article and Find Full Text PDFRev Argent Microbiol
December 2024
Departamento de Bioquímica Clínica, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Hospital de Clínicas «José de San Martín», Buenos Aires, Argentina. Electronic address:
Aeromonas spp. are opportunistic pathogens that cause both intra- and extraintestinal infections. The objective of this work was the phenotypic and genotypic characterization of a collection of Aeromonas strains, in addition to determining their sensitivity to different antimicrobials.
View Article and Find Full Text PDFAPMIS
January 2025
Laboratory Sciences Research Center, Golestan University of Medical Sciences, Gorgan, Iran.
Colistin is a last-resort treatment for multidrug-resistant Gram-negative bacterial infections, particularly in critically ill patients. Nevertheless, it remains a major threat to public health. We assessed the proportion of colistin-resistant Gram-negative isolates from intensive care unit (ICU) infections in different years, areas, pathogens, and antimicrobial susceptibility tests (AST).
View Article and Find Full Text PDFBJU Int
December 2024
Department of Urology, Glickman Urological Institute, Cleveland Clinic Foundation, Cleveland, OH, USA.
Objective: To develop, externally validate, and test a series of computer algorithms to accurately predict antibiotic susceptibility test (AST) results at the time of clinical diagnosis, up to 3 days before standard urine culture results become available, with the goal of improving antibiotic stewardship and patient outcomes.
Patients And Methods: Machine learning algorithms were developed and trained to predict susceptibility or resistance using over 4.7 million discrete AST classifications from urine cultures in a cohort of adult patients from outpatient and inpatient settings from 2012 to 2022.
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