ArticleInfection and drug resistance2024
Distribution Patterns and Antibiotic Resistance Profiles of Bacterial Pathogens Among Patients with Wound Infections in the Jiaxing Region from 2021 to 2023.
Article in Infection and drug resistance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Burn Wound Infections With Staphylococcus aureus: Clinical Characteristics and Risk Factors for Methicillin-Resistant Strains.International wound journal · 2026Article
- Bacterial pathogen spectrum and antimicrobial resistance in positive pus cultures from hospitalized patients at a maternal and child healthcare specialty hospital in Shenzhen, China, 2021-2025.Frontiers in cellular and infection microbiology · 2026Article
- New gel formulation for treating wounds infected with common bacteria isolated from feline wounds in rats.Open veterinary journal · 2026Article
- Distribution and Antibiotic Resistance Characteristics of Pathogenic Bacteria in Chronic Wound Infections: A Five-Year Retrospective Study at a Tertiary Hospital.Infection and drug resistance · 2026Article
- Economic burden of hospital-acquired multidrug-resistant organism infections in patients undergoing gastrointestinal surgery: a bootstrap-based retrospective cohort study.Frontiers in public health · 2026Article
- Hydrogel dressing containing natural extracts inhibits dual-species biofilms of Staphylococcus aureus and Acinetobacter baumannii in ex vivo wound infection models.Scientific reports · 2025Article
- Fabrication of gelatine/fucoidan nanogel-coated silver nanoparticles for the treatment of wound healing therapy and nursing care.Regenerative therapy · 2025Article
- A 3-year retrospective analysis of microbial species and key biomarkers associated with wound infections in Shantou Hospital, China.Frontiers in cellular and infection microbiology · 2025Article
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Authors and funding
5 authors.
Funding
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Abstract
Purpose: To systematically assess the distribution and antimicrobial susceptibility of pathogens in wound infections, and analyze risk factors associated with multidrug resistance (MDR). Patients and Methods: Retrospectively analyzing Jiaxing-region medical records between January 2021 and December 2023, we identified a cohort of 461 wound infection patients. Cultures were grown on various agars, with bacteria identified via Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry. The antimicrobial susceptibility of the organisms were conducted by VITEK 2 system, Kirby-Bauer disk diffusion method and Epsilometer test. Statistical Package for the Social Sciences (SPSS) version 22 was used for statistical analysis. Multivariable logistic regression models were developed to pinpoint risk factors for multidrug-resistant organism (MDRO) infections and predict occurrences. Results: From 461 patients, 549 bacterial pathogens were isolated, predominantly consisting of Conclusion:
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