Optimising antibiotic usage to treat bacterial infections

Scientific Reports

Volumn 6, Issue , 2016, Pages

  Paterson, Iona K ^a   Hoyle, Andy ^a   Ochoa, Gabriela ^a   Baker Austin, Craig ^b   Taylor, Nick G H ^b  

^a UNIVERSITY OF STIRLING   (United Kingdom)

^b CENTRE FOR ENVIRONMENT   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIINFECTIVE AGENT;

ALGORITHM; BACTERIAL INFECTION; BIOLOGICAL MODEL; COMPUTER SIMULATION; HUMAN; MARKOV CHAIN; TREATMENT OUTCOME;

ALGORITHMS; ANTI-BACTERIAL AGENTS; BACTERIAL INFECTIONS; COMPUTER SIMULATION; HUMANS; MODELS, BIOLOGICAL; STOCHASTIC PROCESSES; TREATMENT OUTCOME;

EID: 84999622259     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep37853     Document Type: Article

References (39)

1. Teillant, A., Gandra, S., Barter, D., Morgan, D. J., & Laxminarayan, R. Potential burden of antibiotic resistance on surgery and cancer chemotherapy antibiotic prophylaxis in the USA: A literature review and modelling study. Lancet Infect. Dis. 15, 1429-1437 (2015
2. Boucher, H. W., et al. Bad bugs, no drugs: no ESKAPE! An update from the Infectious Diseases Society of America. Clin. Infect. Dis. 48, 1-12 (2009
3. Ferber, D. Superbugs on the Hoof? Science 288, 792-794 (2000
4. Aarestrup, F. M. Veterinary drug usage and antimicrobial resistance in bacteria of animal origin. Basic Clin. Pharmacol. Toxicol. 96, 271-281 (2005
5. Cabello, F. C. Heavy use of prophylactic antibiotics in aquaculture: a growing problem for human and animal health and for the environment. Environ. Microbiol. 8, 1137-44 (2006
6. European Commission. Communication from the Commission to the European Parliament and the Council action plan against the rising threats from antimicrobial resistance 748 (2011
7. Department of Health & Department for Environment Food and Rural Affairs. UK Five Year Antimicrobial Resistance Strategy 2013 to 2018. Dep. Heal. Dep. Environ. Food Rural Aff. 43 (2013
8. Nakamura, Y., Itoh, T., Matsuda, H., & Gojobori, T. Biased biological functions of horizontally transferred genes in prokaryotic genomes. Nat. Genet. 36, 760-766 (2004
9. Svara, F., & Rankin, D. J. The evolution of plasmid-carried antibiotic resistance. BMC Evol. Biol. 11, 130 (2011
10. Gullberg, E., et al. Selection of resistant bacteria at very low antibiotic concentrations. PLoS Pathog. 7, 1-9 (2011
11. Baquero, F., Martínez, J.-L., & Cantón, R. Antibiotics and antibiotic resistance in water environments. Curr. Opin. Biotechnol. 19, 260-5 (2008
12. Aliabadi, F. S., & Lees, P. Antibiotic treatment for animals: Effect on bacterial population and dosage regimen optimisation. Int. J. Antimicrob. Agents 14, 307-313 (2000
13. Bonhoeffer, S., Lipsitch, M., & Levin, B. R. Evaluating treatment protocols to prevent antibiotic resistance. Proc Natl Acad Sci USA 94, 12106-11 (1997
14. Bergstrom, C. T., Lo, M., & Lipsitch, M. Ecological theory suggests that antimicrobial cycling will not reduce antimicrobial resistance in hospitals. Proc. Natl. Acad. Sci. USA 101, 13285-13290 (2004
15. D?Agata, E. M. C., Dupont-Rouzeyrol, M., Magal, P., Olivier, D., & Ruan, S. The impact of different antibiotic regimens on the emergence of antimicrobial-resistant bacteria. PLoS One 3, e4036 (2008
16. Geli, P., Laxminarayan, R., Dunne, M., & Smith, D. L. ?One-Size-Fits-All Optimizing Treatment Duration for Bacterial Infections. PLoS ONE 7 (2012
17. Peña-Miller, R., Fuentes-Hernandez, A., Reding, C., Gudelj, I., & Beardmore, R.Testing the optimality properties of a dual antibiotic treatment in a two-locus, two-Allele model. J. R. Soc. Interface. 11, 20131035 (2014
18. Bergstrom, C. T., Lipsitch, M., & Levin, B. R. Natural selection, infectious transfer and the existence conditions for bacterial plasmids. Genetics 155, 1505-19 (2000
19. Lili, L. N., Britton, N. F., & Feil, E. J. The persistence of parasitic plasmids. Genetics 177, 399-405 (2007
20. Andersson, D. I., & Hughes, D. Antibiotic resistance and its cost: is it possible to reverse resistance? Nat. Rev. Microbiol. 8, 260-71 (2010
21. Clopper, C., & Pearson, S. The use of confidence or fiducial limits illustrated in the case of the Binomial. Biometrika 26, 404-413 (1934
22. Lutters, M., & Vogt-Ferrier, N. B. Antibiotic duration for treating uncomplicated, symptomatic lower urinary tract infections in elderly women. Cochrane Database of Systematic Reviews 3, Art. No.: CD001535 (2008
23. Plummer, A., Wildman, M., & Gleeson, T. Duration of intravenous antibiotic therapy in people with cystic fibrosis. Cochrane Database of Systematic Reviews 9, Art. No.: CD006682 (2016
24. Yuan, Y., et al. Optimum duration of regimens for Helicobacter pylori eradication. Cochrane Database of Systematic Reviews 12, Art. No.: CD008337 (2013
25. Parry, C. M., et al. Randomized controlled comparison of ofloxacin, azithromycin, and an ofloxacin-Azithromycin combination for treatment of multidrug-resistant and nalidixic acid-resistant typhoid fever. Antimicrob. Agents Chemother. 51, 819-825 (2007
26. Briggs, S., Ellis-Pegler, R., Roberts, S., Thomas, M., & Woodhouse, A. Short course intravenous benzylpenicillin treatment of adults with meningococcal disease. Intern. Med. J. 34, 383-387 (2004
27. McKenzie, C. Antibiotic dosing in critical illness. J. Antimicrob. Chemother. 66, 25-31 (2011
28. McFarland, L., Surawicz, C., & Elmer, G. Breaking the cycle: strategies for 163 cases of recurrent Clostridium difficile. Am. J. Gastroenterol. 97, S157 (2002
29. McFarland, L. V. Alternative treatments for Clostridium difficile disease: What really works? J. Med. Microbiol. 54, 101-111 (2005
30. Peña-Miller, R., Lähnemann, D., Schulenburg, H., Ackermann, M., & Beardmore, R.Selecting Against Antibiotic-Resistant Pathogens: Optimal Treatments in the Presence of Commensal Bacteria. Bull. Math. Biol. 74, 908-934 (2012
31. Imran, M., & Smith, H. A Model of optimal dosing of antibiotic treatment in biofilm. Math. Biosci. Eng. 11, 547-571 (2014
32. Kim, S., Lieberman, T. D., & Kishony, R. Alternating antibiotic treatments constrain evolutionary paths to multidrug resistance. Proc. Natl. Acad. Sci. 111, 14494-14499 (2014
33. Regoes, R. R., et al. Pharmacodynamic Functions: a Multiparameter Approach to the Design of Antibiotic Treatment Regimens Pharmacodynamic Functions: a Multiparameter Approach to the Design of Antibiotic Treatment Regimens. Antimicrob. Agents Chemother. 48, 3670-3676 (2004
34. Liu, Y. Q., Zhang, Y. Z., & Gao, P. J. Novel concentration-killing curve method for estimation of bactericidal potency of antibiotics in an in vitro dynamic model. Antimicrob. Agents Chemother. 48, 3884-3891 (2004
35. Gillespie, D. T. Exact stochastic simulation of coupled chemical reactions. The Journal of Physical Chemistry 81, 2340-2361 (1977
36. Holland, J. Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence (University of Michigan Press, 1975
37. Eiben, A., & Smith, J. Introduction to Evolutionary Computing. Natural Computing Series (Springer Berlin Heidelberg, 2015
38. Ochoa, G., Villasana, M., & Burke, E. K. An evolutionary approach to cancer chemotherapy scheduling. Genet. Program. Evolvable Mach. 8, 301-318 (2007
39. Ochoa, G., & Villasana, M. Population-based optimization of cytostatic/cytotoxic combination cancer chemotherapy. Soft Comput. 17, 913-924 (2013