Blood stream infection is one of the major public health issues characterized with high cost and high mortality. Timely effective antibiotics usage to control infection is crucial for patients' survival. The standard microbiological diagnosis of infection however can last days. The delay in accurate antibiotic therapy would lead to not only poor clinical outcomes, but also to a rise in antibiotic resistance due to widespread use of empirical broad-spectrum antibiotics. An important measure to tackle this problem is fast determination of bacterial antibiotic susceptibility to optimize antibiotic treatment. We show that a protocol based on surface-enhanced Raman spectroscopy can obtain consistent antibiotic susceptibility test results from clinical blood-culture samples within four hours. The characteristic spectral signatures of the obtained spectra of Staphylococcus aureus and Escherichia coli-prototypic Gram-positive and Gram-negative bacteria-became prominent after an effective pretreatment procedure removed strong interferences from blood constituents. Using them as the biomarkers of bacterial metabolic responses to antibiotics, the protocol reported the susceptibility profiles of tested drugs against these two bacteria acquired from patients' blood with high specificity, sensitivity and speed.
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http://dx.doi.org/10.1038/s41598-020-68855-w | 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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