Evaluation of ESBL resistance dynamics in Escherichia coli isolates by mathematical modeling

Author:

Hurdoganoglu Ulas1,Kaymakamzade Bilgen2,Sultanoglu Nazife3,Guler Emrah45ORCID,Hincal Evren2,Suer Kaya6ORCID

Affiliation:

1. Department of Medical Microbiology and Clinical Microbiology, Near East University, Near East Boulevard , Nicosia , 99138 , Cyprus

2. Department of Mathematics, Near East University, Faculty of Science and Literature, Nicosia, Cyprus; Mathematics Research Center, Near East University , Nicosia , 99138 , Cyprus

3. Department of Medical Microbiology and Clinical Microbiology, Near East University, Faculty of Medicine, Nicosia, Cyprus; DESAM Research Institute, Near East University , Nicosia , 99138 , Cyprus

4. DESAM Research Institute, Near East University , Nicosia , Cyprus

5. Department of Nutrition and Dietetics, Near East University, Faculty of Health Sciences , Nicosia , 99138 , Cyprus

6. Department of Infectious Diseases and Clinical Microbiology, Near East University, Faculty of Medicine , Nicosia , 99138 , Cyprus

Abstract

Abstract Antibiotic resistance is becoming one of the threats to global health. This crisis has been attributed to the over-the-counter and overuse of antibiotics leading bacteria to gain the ability to resist and survive even in the presence of antimicrobial agents. Escherichia coli (E. coli) is one of the major gram-negative bacteria that are the representative indicators of antibiotic resistance. One of the mechanisms of gaining antibiotic resistance is the ability of E. coli to gain the production of extended-spectrum beta-lactamases (ESBL). In this study, Near East University Hospital data from 2016 to 2019 were used to study the dynamics of ESBL-producing ( ESBL + {\text{ESBL}}^{+} ) and non-ESBL-producing ( ESBL {\text{ESBL}}^{-} ) E. coli infections by using a mathematical model. In our study, the aim was to evaluate the distribution of infections caused by resistant E. coli strains in later years and to increase the success of treatment in patients infected with E. coli by reducing the problem of antibiotic resistance. By using the mathematical model and data of the patients, basic reproduction number (R 0) values were calculated to study epidemiologic dynamics of the disease. The R 0 E {R}_{0}^{{E}^{-}} and R 0 E + {R}_{0}^{{E}^{+}} values for ESBL {\text{ESBL}}^{-} and  ESBL +   {\text{ ESBL}}^{+}\text{ } E. coli infections were calculated, respectively. According to the model and the data used within the study, it was calculated that R 0 E {R}_{0}^{{E}^{-}} to be 1,266,403 and R 0 E + {R}_{0}^{{E}^{+}} to be 2,096,747. Since the values for R 0 E {R}_{0}^{{E}^{-}} and R 0 E + {R}_{0}^{{E}^{+}} were equal or greater than 1, this suggests that currently the ESBL \hspace{.25em}{\text{ESBL}}^{-} and  ESBL +   {\text{ ESBL}}^{+}\text{ } E. coli infections are in epidemic character for Cyprus. Furthermore, when simulation analyses were carried out for the model, it was predicted that in 2042 the ESBL {\text{ESBL}}^{-} and  ESBL + {\text{ ESBL}}^{+} E. coli infection trends will equalize. After 2042, the ESBL   {\text{ESBL}}^{-}\text{ } E. coli infections will indicate a descending pattern whereas  ESBL +   {\text{ ESBL}}^{+}\text{ } E. coli infection will increase constantly.

Publisher

Walter de Gruyter GmbH

Subject

General Physics and Astronomy

Reference25 articles.

1. Duman Y, Güçlüer N, Serindağ A, Tekerekoğlu MS. Antimicrobial susceptibility of E. coli strains and presence of extended-spectrum beta lactamase. Fırat Tıp Derg. 2010;15:197–200.

2. Akova M. Alarm: there are extended-spectrum beta-lactamases (ESBL)! ANKEM Derg. 2004;18:98–103.

3. Taşova Y. Management of gram-negative enteric bacteria infections. ANKEM Derg. 2011;25:34–44.

4. Aydemir Ö, Terzi HA, Şahin Özözen E, Köroğlu M, Altındiş M. Piperacillin/Tazobactam in-vitro activity in Escherichia coli and Klebsiella pneumonia strains with extended spectrum beta-lactamase production. OTJHS. 2019;4:118–27. 10.26453/otjhs.487008.

5. Yılmaz FF, Ermertcan Ş. Investigation of fluoroquinolones resistance in Escherichia coli strains isolated from urinary tract infections. Turkish J Infect. 2005;19:429–33.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3