Urine Culture in Hospitalized Patients during 2014-2018: An Analysis on Pathogen Distribution and Drug Sensitivity
Autor: | Lijiang Sun, Fengju Guan, Dongkai Sun, Guiming Zhang, Shuai Liu, Peishan Cong |
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Rok vydání: | 2021 |
Předmět: |
Medicine (General)
Time Factors Article Subject medicine.drug_class Antibiotic sensitivity Clinical Biochemistry Antibiotics Urine Drug resistance medicine.disease_cause Microbiology R5-920 Drug Resistance Fungal Drug Resistance Bacterial Genetics medicine Humans Molecular Biology Escherichia coli Pathogen Retrospective Studies Bacteria biology business.industry Biochemistry (medical) Fungi Bacterial Infections General Medicine Antimicrobial biology.organism_classification Mycoses Pharmaceutical Preparations Urinary Tract Infections business Research Article |
Zdroj: | Disease Markers Disease Markers, Vol 2021 (2021) |
ISSN: | 1875-8630 0278-0240 |
DOI: | 10.1155/2021/6646024 |
Popis: | Objective. We sought to analyze the distribution and antibiotic sensitivity of pathogens in hospitalized patients and to provide a scientific reference for the rational application of antibiotics. Methods. From January 2014 to December 2018, urine cultures from patients in our hospital were collected and analyzed retrospectively for the presence, distribution, and drug sensitivity of pathogens. Results. A total of 42,854 midstream urine cultures were collected from which 11,891 (27.75%) pathogens were isolated, including 8101 (68.13%) strains of gram-negative bacteria, 2580 (21.69%) strains of gram-positive bacteria, and 1210 (10.18%) strains of fungi. Escherichia coli and Enterococci were the most common species of gram-negative and gram-positive bacteria, respectively. Drug sensitivity varied among different pathogens. Clear drug resistance was observed in bacteria, while fungus exhibited relatively lower resistance. Conclusion. Pathogens responsible for urinary tract infections in hospitalized patients are diversiform and display resistance to some antibiotics. Drug resistance monitoring should be enhanced to optimize antimicrobial therapy. |
Databáze: | OpenAIRE |
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