Prevalence of bacteremia and antimicrobial resistance pattern among patients in South Lebanon

被引:0
|
作者
Hnaineh, Zahra [1 ]
Sokhn, Elie Salem [1 ]
机构
[1] Beirut Arab Univ, Fac Hlth Sci, Dept Med Lab Technol, Mol Testing Lab, POB 11-5020, Beirut, Lebanon
关键词
Gram-negative; Gram-positive; Extended-spectrum beta-lactamases; Methicillin resistant Staphylococcus aureus; ESCHERICHIA-COLI;
D O I
10.1016/j.ajic.2024.09.023
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Bacteremia is a leading cause of morbidity and mortality worldwide. Rising prevalence and antimicrobial resistance (AMR) are critical public health issues. This study aims to determine the prevalence of bacteremia and the AMR pattern among patients in South Lebanon. Methods: A cross-sectional study analyzed 76 positive blood cultures from Hammoud and Labib Hospitals in South Lebanon between September 2023 and March 2024. The phenotype and antimicrobial susceptibility of gram-positive and gram-negative were determined by using disk diffusion. Genotypically, polymerase chain reaction was used to detect the carbapenemase-resistant Enterobacterales (CRE), extended-spectrum beta-lactamases (ESBL), and methicillin-resistant Staphylococcus aureus genes. Results: Out of 76 isolates, 38 (50%) were gram-positive and 38 (50%) were gram-negative. Escherichia coli was the most common among gram-negative (18. 42%), with 10.52% ESBL and 3.94% CRE. Staphylococcus coagulase negative was the most common among gram-positive (40.78%), followed by Staphylococcus aureus (6.57%), with 3.94% methicillin-resistant S. aureus. The prevalent ESBL gene was CTX-M (10 0%), and for the CRE, NDM (66.66%) was the most common gene. Regarding S. aureus, 66.66% were mecA. Discussion: The diverse bacteremia isolates and resistance genes in South Lebanon reflect global variability in incidence and resistance profiles. Conclusions: High rates of bacteremia and AMR in South Lebanon underscore the need for effective antibiotic stewardship programs. (c) 2024 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
引用
收藏
页码:139 / 143
页数:5
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