Prognostic Model of Microbial Resistance Based on the Relationship between Antibiotic Resistance and Consumption
Acquired bacterial resistance is one of the leading causes of morbidity and mortality attributed to infectious diseases. Simulations may provide opportunity to predict further spread of resistance and, to some extent, manage it. The objective of this study was to construct a model describing relatio...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | Russian |
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Interregional Association for Clinical Microbiology and Antimicrobial Chemotherapy
2016-08-01
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| Series: | Клиническая микробиология и антимикробная химиотерапия |
| Subjects: | |
| Online Access: | https://cmac-journal.ru/publication/2016/3/cmac-2016-t18-n3-p200/cmac-2016-t18-n3-p200.pdf |
| _version_ | 1828488133244616704 |
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| author | Arepeva M.A. Kolbin A.S. Sidorenko S.V. Kurylyov A.A. Balykina Yu.E. Mukhina N.V. Spiridonova A.A. |
| author_facet | Arepeva M.A. Kolbin A.S. Sidorenko S.V. Kurylyov A.A. Balykina Yu.E. Mukhina N.V. Spiridonova A.A. |
| author_sort | Arepeva M.A. |
| collection | DOAJ |
| description | Acquired bacterial resistance is one of the leading causes of morbidity and mortality attributed to infectious diseases. Simulations may provide opportunity to predict further spread of resistance and, to some extent, manage it. The objective of this study was to construct a model describing relationship between microbial resistance and antibiotic consumption. At the first step, an analysis of the published models developed to achieve this goal was performed. At the second step, a cross-sectional, retrospective study was designed and performed to collect clinical and microbiological data for constructing this model. At the third step, the model was constructed and validated. A consumption of different antibiotic classes was shown to have a significant effect on resistance rate. The model may help in predicting antimicrobial resistance trends as well as demonstrates the effect of antibiotic consumption on resistance rates. |
| first_indexed | 2024-12-11T10:04:20Z |
| format | Article |
| id | doaj.art-85d1c776ca1b4bc09d89d792f955047d |
| institution | Directory Open Access Journal |
| issn | 1684-4386 2686-9586 |
| language | Russian |
| last_indexed | 2024-12-11T10:04:20Z |
| publishDate | 2016-08-01 |
| publisher | Interregional Association for Clinical Microbiology and Antimicrobial Chemotherapy |
| record_format | Article |
| series | Клиническая микробиология и антимикробная химиотерапия |
| spelling | doaj.art-85d1c776ca1b4bc09d89d792f955047d2022-12-22T01:12:01ZrusInterregional Association for Clinical Microbiology and Antimicrobial ChemotherapyКлиническая микробиология и антимикробная химиотерапия1684-43862686-95862016-08-01183200211cmac-2016-t18-n3-p200Prognostic Model of Microbial Resistance Based on the Relationship between Antibiotic Resistance and ConsumptionArepeva M.A.0Kolbin A.S.1Sidorenko S.V.2Kurylyov A.A.3Balykina Yu.E.4Mukhina N.V.5Spiridonova A.A.6Saint-Petersburg State University, Saint-Petersburg, RussiaSaint-Petersburg State University, Saint-Petersburg, RussiaResearch Institute of Children’s Infectious Diseases, Saint-Petersburg, RussiaPavlov First Saint-Petersburg State Medical University, Saint-Petersburg, RussiaSaint-Petersburg State University, Saint-Petersburg, RussiaPavlov First Saint-Petersburg State Medical University, Saint-Petersburg, RussiaPavlov First Saint-Petersburg State Medical University, Saint-Petersburg, RussiaAcquired bacterial resistance is one of the leading causes of morbidity and mortality attributed to infectious diseases. Simulations may provide opportunity to predict further spread of resistance and, to some extent, manage it. The objective of this study was to construct a model describing relationship between microbial resistance and antibiotic consumption. At the first step, an analysis of the published models developed to achieve this goal was performed. At the second step, a cross-sectional, retrospective study was designed and performed to collect clinical and microbiological data for constructing this model. At the third step, the model was constructed and validated. A consumption of different antibiotic classes was shown to have a significant effect on resistance rate. The model may help in predicting antimicrobial resistance trends as well as demonstrates the effect of antibiotic consumption on resistance rates.https://cmac-journal.ru/publication/2016/3/cmac-2016-t18-n3-p200/cmac-2016-t18-n3-p200.pdfantimicrobial resistanceprognostic modelantibiotic consumptiondefined daily dose |
| spellingShingle | Arepeva M.A. Kolbin A.S. Sidorenko S.V. Kurylyov A.A. Balykina Yu.E. Mukhina N.V. Spiridonova A.A. Prognostic Model of Microbial Resistance Based on the Relationship between Antibiotic Resistance and Consumption Клиническая микробиология и антимикробная химиотерапия antimicrobial resistance prognostic model antibiotic consumption defined daily dose |
| title | Prognostic Model of Microbial Resistance Based on the Relationship between Antibiotic Resistance and Consumption |
| title_full | Prognostic Model of Microbial Resistance Based on the Relationship between Antibiotic Resistance and Consumption |
| title_fullStr | Prognostic Model of Microbial Resistance Based on the Relationship between Antibiotic Resistance and Consumption |
| title_full_unstemmed | Prognostic Model of Microbial Resistance Based on the Relationship between Antibiotic Resistance and Consumption |
| title_short | Prognostic Model of Microbial Resistance Based on the Relationship between Antibiotic Resistance and Consumption |
| title_sort | prognostic model of microbial resistance based on the relationship between antibiotic resistance and consumption |
| topic | antimicrobial resistance prognostic model antibiotic consumption defined daily dose |
| url | https://cmac-journal.ru/publication/2016/3/cmac-2016-t18-n3-p200/cmac-2016-t18-n3-p200.pdf |
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