M A Arepyeva1, A S Kolbin2, S V Sidorenko3, R Lawson4, A A Kurylev5, Yu E Balykina6, N V Mukhina5, A A Spiridonova5. 1. Saint Petersburg State University, Kollontai St., Saint Petersburg, Russian Federation. Electronic address: arepeva.maria@gmail.com. 2. Saint Petersburg State University, Kollontai St., Saint Petersburg, Russian Federation; First Pavlov State Medical University of Saint Petersburg, Saint Petersburg, Russian Federation. 3. Scientific Research Institute of Children's Infections, Saint Petersburg, Russian Federation. 4. AstraZeneca, Gaithersburg, Maryland, USA. 5. First Pavlov State Medical University of Saint Petersburg, Saint Petersburg, Russian Federation. 6. Saint Petersburg State University, Kollontai St., Saint Petersburg, Russian Federation.
Abstract
OBJECTIVES: Infections that are inadequately treated owing to acquired bacterial resistance are a leading cause of mortality. Rates of multidrug-resistant bacteria are rising, resulting in increased antibiotic failures and worsening patient outcomes. Mathematical modelling makes it possible to predict the future spread of bacterial antimicrobial resistance. The aim of this study was to construct a mathematical model that can describe the dependency between the level of antimicrobial resistance and the amount of antibiotic usage. METHODS: After reviewing existing mathematical models, a cross-sectional, retrospective study was carried out to collect clinical and microbiological data across 3000 patients for the construction of the mathematical model. Based on these data, a model was developed and tested to determine the dependency between antibiotic usage and resistance. RESULTS: Consumption of inhibitor/cephalosporins and fluoroquinolones increases inhibitor/penicillin resistance. Consumption of inhibitor/penicillins increases cephalosporin resistance. Consumption of inhibitor/penicillins increases inhibitor/cephalosporin resistance. CONCLUSIONS: It was demonstrated that in some antibiotic-micro-organism pairs, the level of antibiotic usage significantly influences the level of resistance. The model makes it possible to predict the change in resistance and also shows the quantitative effect of antibiotic consumption on the level of bacterial resistance.
OBJECTIVES: Infections that are inadequately treated owing to acquired bacterial resistance are a leading cause of mortality. Rates of multidrug-resistant bacteria are rising, resulting in increased antibiotic failures and worsening patient outcomes. Mathematical modelling makes it possible to predict the future spread of bacterial antimicrobial resistance. The aim of this study was to construct a mathematical model that can describe the dependency between the level of antimicrobial resistance and the amount of antibiotic usage. METHODS: After reviewing existing mathematical models, a cross-sectional, retrospective study was carried out to collect clinical and microbiological data across 3000 patients for the construction of the mathematical model. Based on these data, a model was developed and tested to determine the dependency between antibiotic usage and resistance. RESULTS: Consumption of inhibitor/cephalosporins and fluoroquinolones increases inhibitor/penicillin resistance. Consumption of inhibitor/penicillins increases cephalosporin resistance. Consumption of inhibitor/penicillins increases inhibitor/cephalosporin resistance. CONCLUSIONS: It was demonstrated that in some antibiotic-micro-organism pairs, the level of antibiotic usage significantly influences the level of resistance. The model makes it possible to predict the change in resistance and also shows the quantitative effect of antibiotic consumption on the level of bacterial resistance.
Authors: Maha Mahmoud Alawi; Wail A Tashkandi; Mohamed A Basheikh; Faten M Warshan; Hazem Ahmed Ghobara; Rosemarie B Ramos; Mary Leilani Guiriba; Omar Ayob; Safiah Saad Janah; Anees Ahmad Sindi; Suheib Ali Abdulhamid Ahmed; Salah Dammnan; Esam Ibraheem Azhar; Ali A Rabaan; Salma Alnahdi; Maged Mohammed Bamahakesh Journal: Interdiscip Perspect Infect Dis Date: 2022-04-12