Pharmacokinetic-pharmacodynamic model to evaluate intramuscular tetracycline treatment protocols to prevent antimicrobial resistance in pigs

Antimicrobial Agents and Chemotherapy

Volumn 59, Issue 3, 2015, Pages 1634-1642

  Ahmad, Amais ^a   Græsbøll, Kaare ^b   Christiansen, Lasse Engbo ^b   Toft, Nils ^b   Matthews, Louise ^c   Nielsen, Søren Saxmose ^a  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^c UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

TETRACYCLINE; ANTIINFECTIVE AGENT;

ANIMAL EXPERIMENT; ANTIBIOTIC RESISTANCE; ARTICLE; BACTERIAL GROWTH; BACTERIAL STRAIN; CLINICAL PROTOCOL; CONTROLLED STUDY; ESCHERICHIA COLI; IN VITRO STUDY; IN VIVO STUDY; MATHEMATICAL MODEL; MINIMUM INHIBITORY CONCENTRATION; NONHUMAN; PREDICTION; PRIORITY JOURNAL; TREATMENT DURATION; ANIMAL; DRUG EFFECTS; ESCHERICHIA COLI INFECTIONS; INTRAMUSCULAR DRUG ADMINISTRATION; MICROBIAL SENSITIVITY TEST; MULTIDRUG RESISTANCE; PIG; PROCEDURES;

ANIMALS; ANTI-BACTERIAL AGENTS; CLINICAL PROTOCOLS; DRUG RESISTANCE, MULTIPLE, BACTERIAL; ESCHERICHIA COLI; ESCHERICHIA COLI INFECTIONS; INJECTIONS, INTRAMUSCULAR; MICROBIAL SENSITIVITY TESTS; SWINE; TETRACYCLINE;

EID: 84923234068     PISSN: 00664804     EISSN: 10986596     Source Type: Journal    
DOI: 10.1128/AAC.03919-14     Document Type: Article

References (39)

1. McEwen SA, Fedorka-Cray PJ. 2002. Antimicrobial use and resistance in animals. Clin Infect Dis 34:S93-S106. http://dx.doi.org/10.1086/340246.
2. Sorum H, Sunde M. 2001. Resistance to antibiotics in the normal flora of animals. Vet Res 32:227-241. http://dx.doi.org/10.1051/vetres:2001121.
3. McDermott PF, Zhao S, Wagner DD, Simjee S, Walker RD, White DG. 2002. The food safety perspective of antibiotic resistance. Anim Biotechnol 13:71-84. http://dx.doi.org/10.1081/ABIO-120005771.
4. Apley MD, Brown SA, Fedorka-Cray PJ, Ferenc S, House JK, Riviere JE, Rice LB, Thornsberry C, Waddell J. 1998. Role of veterinary therapeutics in bacterial resistance development: animal and public health perspectives. J Am Vet Med Assoc 212:1209-1213.
5. DANMAP. 2013. DANMAP(2012) technical report. Danish Ministry of Food, Agriculture, and Fisheries and the Danish Ministry of Health Report, Copenhagen, Denmark.
6. Baadsgaard NP, Vaarst M. 2003. The effect of treatment criteria on the use of antibiotics in pig herds, p 399. ISVEE 10. Proceedings of the 10th Symposium of the International Society for Veterinary Epidemiology and Economics, Vina del Mar, Chile.
7. Lee C, Langlois BE, Dawson KA. 1993. Detection of tetracycline resistance determinants in pig isolates from three herds with different histories of antimicrobial agent exposure. Appl Environ Microbiol 59:1467-1472.
8. Aarestrup FM. 1999. Resistance monitoring in Denmark, 1997-DANMAP. Wkly Epidemiol Rec 74:125-127.
9. World Health Organization. 2000. WHO global principles for the containment of antimicrobial resistance in animals intended for food. WHO/CDS/CSR/APH, Geneva, Switzerland.
10. Delsol AA, Halfhide DE, Bagnall MC, Randall LP, Enne VI, Woodward MJ, Roe JM. 2010. Persistence of a wild type Escherichia coli and its multiple antibiotic-resistant (MAR) derivatives in the abattoir and on chilled pig carcasses. Int J Food Microbiol 140:249-253. http://dx.doi.org/10.1016/j.ijfoodmicro.2010.03.023.
11. Opatowski L, Guillemot D, Boelle PY, Temime L. 2011. Contribution of mathematical modeling to the fight against bacterial antibiotic resistance. Curr Opin Infect Dis 24:279-287. http://dx.doi.org/10.1097/QCO.0b013e3283462362.
12. Campion JJ, McNamara PJ, Evans MT. 2005. Pharmacodynamic modeling of ciprofloxacin resistance in Staphylococcus aureus. Antimicrob Agents Chemother 49:209-219. http://dx.doi.org/10.1128/AAC.49.1.209-219.2005.
13. Andes D, Craig WA. 2002. Pharmacodynamics of the new fluoroquinolone gatifloxacin in murine thigh and lung infection models. Antimicrob Agents Chemother 46:1665-1670. http://dx.doi.org/10.1128/AAC.46.6.1665-1670.2002.
14. Craig WA. 1998. Pharmacokinetic/pharmacodynamic parameters: rationale for antibacterial dosing of mice and men. Clin Infect Dis 26:1-10. http://dx.doi.org/10.1086/516284.
15. Drusano GL, Johnson DE, Rosen M, Standiford HC. 1993. Pharmacodynamics of a fluoroquinolone antimicrobial agent in a neutropenic rat model of Pseudomonas sepsis. Antimicrob Agents Chemother 37:483-490. http://dx.doi.org/10.1128/AAC.37.3.483.
16. Andes D, Forrest A, Lepak A, Nett J, Marchillo K, Lincoln L. 2006. Impact of antimicrobial dosing regimen on evolution of drug resistance in vivo: fluconazole and Candida albicans. Antimicrob Agents Chemother 50:2374-2383. http://dx.doi.org/10.1128/AAC.01053-05.
17. Andraud M, Chauvin C, Sanders P, Laurentie M. 2011. Pharmacodynamic modeling of in vitro activity of marbofloxacin against Escherichia coli strains. Antimicrob Agents Chemother 55:756-761. http://dx.doi.org/10.1128/AAC.00865-10.
18. Nielsen EI, Cars O, Friberg LE. 2011. Predicting in vitro antibacterial efficacy across experimental designs with a semimechanistic pharmacokinetic-pharmacodynamic model. Antimicrob Agents Chemother 55:1571-1579. http://dx.doi.org/10.1128/AAC.01286-10.
19. Nielsen EI, Viberg A, Lowdin E, Cars O, Karlsson MO, Sandstrom M. 2007. Semimechanistic pharmacokinetic/pharmacodynamic model for assessment of activity of antibacterial agents from time-kill curve experiments. Antimicrob Agents Chemother 51:128-136. http://dx.doi.org/10.1128/AAC.00604-06.
20. Regoes RR, Wiuff C, Zappala RM, Garner KN, Baquero F, Levin BR. 2004. Pharmacodynamic functions: A multiparameter approach to the design of antibiotic treatment regimens. Antimicrob Agents Chemother 48:3670-3676. http://dx.doi.org/10.1128/AAC.48.10.3670-3676.2004.
21. Schmidt S, Sabarinath SN, Barbour A, Abbanat D, Manitpisitkul P, Sha S, Derendorf H. 2009. Pharmacokinetic-pharmacodynamic modeling of the in vitro activities of oxazolidinone antimicrobial agents against methicillin-resistant Staphylococcus aureus. Antimicrob Agents Chemother 53: 5039-5045. http://dx.doi.org/10.1128/AAC.00633-09.
22. Volkova VV, Lanzas C, Lu Z, Grohn YT. 2012. Mathematical model of plasmid-mediated resistance to ceftiofur in commensal enteric Escherichia coli of cattle. PLoS One 7:e36738. http://dx.doi.org/10.1371/journal.pone.0036738.
23. D'Agata EM, Dupont-Rouzeyrol M, Magal P, Olivier D, Ruan S. 2008. The impact of different antibiotic regimens on the emergence of antimicrobial-resistant bacteria. PLoS One 3:e4036. http://dx.doi.org/10.1371/journal.pone.0004036.
24. Geli P, Laxminarayan R, Dunne M, Smith DL. 2012. "One-size-fits-all"? Optimizing treatment duration for bacterial infections. PLoS One 7:e29838. http://dx.doi.org/10.1371/journal.pone.0029838.
25. Banting AD, Baggot JD. 1996. Comparison of the pharmacokinetics and local tolerance of three injectable oxytetracycline formulations in pigs. J Vet Pharmacol Ther 19:329-329. http://dx.doi.org/10.1111/j.1365-2885.1996.tb00061.x.
26. Goutelle S, Maurin M, Rougier F, Barbaut X, Bourguignon L, Ducher M, Maire P. 2008. The Hill equation: a review of its capabilities in pharmacological modelling. Fund Clin Pharmacol 22:633-648. http://dx.doi.org/10.1111/j.1472-8206.2008.00633.x.
27. DANMAP. 2011. DANMAP(2010) technical report. Danish Ministry of Food, Agriculture, and Fisheries and the Danish Ministry of Health Report, Copenhagen, Denmark.
28. Græsbøll K, Nielsen SS, Toft N, Christiansen LE. 2014. How fitness reduced, antimicrobial resistant bacteria survive and spread: a multiple pig-multiple bacterial strain model. PLoS One 9:e100458. http://dx.doi.org/10.1371/journal.pone.0100458.
29. Schierack P, Walk N, Reiter K, Weyrauch KD, Wieler LH. 2007. Composition of intestinal Enterobacteriaceae populations of healthy domestic pigs. Microbiology 153:3830-3837. http://dx.doi.org/10.1099/mic.0.2007/010173-0.
30. Nielsen EI, Friberg LE. 2013. Pharmacokinetic-pharmacodynamic modeling of antibacterial drugs. Pharmacol Rev 65:1053-1090. http://dx.doi.org/10.1124/pr.111.005769.
31. McAllister JS, Kurtz HJ, Short EC, Jr. 1979. Changes in the intestinal flora of young pigs with postweaning diarrhea or edema disease. J Anim Sci 49:868-879.
32. Daniels JB, Call DR, Hancock D, Sischo WM, Baker K, Besser TE. 2009. Role of ceftiofur in selection and dissemination of bla(CMY-2)-mediated cephalosporin resistance in Salmonella enterica and commensal Escherichia coli isolates from cattle. Appl Environ Microbiol 75:3648-3655. http://dx.doi.org/10.1128/AEM.02435-08.
33. R Core Team. 2013. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/.
34. Levy SB, Marshall B. 2004. Antibacterial resistance worldwide: causes, challenges and responses. Nat Med 10:S122-S129. http://dx.doi.org/10.1038/nm1145.
35. Jumbe N, Louie A, Leary R, Liu WG, Deziel MR, Tam VH, Bachhawat R, Freeman C, Kahn JB, Bush K, Dudley MN, Miller MH, Drusano GL. 2003. Application of a mathematical model to prevent in vivo amplification of antibiotic-resistant bacterial populations during therapy. J Clin Invest 112:275-285. http://dx.doi.org/10.1172/JCI16814.
36. Lipsitch M, Bergstrom CT, Levin BR. 2000. The epidemiology of antibiotic resistance in hospitals: paradoxes and prescriptions. Proc Natl Acad Sci U S A 97:1938-1943. http://dx.doi.org/10.1073/pnas.97.4.1938.
37. Martinez JL, Baquero F. 2000. Mutation frequencies and antibiotic resistance. Antimicrob Agents Chemother 44:1771-1777. http://dx.doi.org/10.1128/AAC.44.7.1771-1777.2000.
38. Liu P, Derendorf H. 2003. Antimicrobial tissue concentrations. Infect Dis Clin North Am 17:599-613. http://dx.doi.org/10.1016/S0891-5520(03)00060-6.
39. Spicknall IH, Foxman B, Marrs CF, Eisenberg JNS. 2013. A modeling framework for the evolution and spread of antibiotic resistance: literature review and model categorization. Am J Epidemiol 178:508-520. http://dx.doi.org/10.1093/aje/kwt017.