Antibiogram of Bacteria Isolated from Bloodstream Infection-Suspected Patients at the University of Gondar Comprehensive Specialized Hospital in Northwest Ethiopia: A Retrospective Study

• Published in: International journal of microbiology 2024, Vol.2024 (1), p.7624416
• Main Authors: Worku, Minichil, Molla, Tigist, Kasew, Desie, Assefa, Muluneh, Geteneh, Alene, Aynalem, Melak, Gizachew, Mucheye, Biset, Sirak
• Format: Article
• Language: English
• Subjects: Age; Antibiotics; Antimicrobial agents; Antimicrobial resistance; Bacteremia; Bacteria; Bacterial infections; Bacteriology; Blood; Blood culture; Ceftriaxone; Citrobacter; Confidence intervals; Data collection; Drug resistance; E coli; Emergency medical care; Hospitals; Klebsiella; Klebsiella pneumoniae; Laboratories; Morbidity; Mortality; Multidrug resistance; Pathogens; Patients; Pediatrics; Penicillin; Public health; Quality control; Regression analysis; Regression models; Sepsis; Sociodemographics; Staphylococcus infections; Statistical analysis
• ISSN: 1687-918X; 1687-9198
• DOI: 10.1155/2024/7624416

Bacterial bloodstream infections (BSIs) are the leading cause of sepsis-related morbidity and mortality worldwide. The emergence and spread of antimicrobial resistance (AMR) in bacteria is also a growing global concern. As a result, data on bacterial profile and their antibiogram are essential for strategies to contain drug resistance, improve the quality of patient care, and strengthen health systems. Retrospective data from bacteriological results of blood samples of BSI-suspected patients from 2018 to 2021 were collected using a data collection sheet. Standard bacteriological techniques were followed during sample collection, culture preparation, bacterial identification, and antibiotic susceptibility testing (AST). We used Epi Info version 7 to enter and clean the data and then exported it to SPSS version 26 for analysis. Logistic regression models were used to measure the association between variables. A value