Antibiotic treatment for animals: effect on bacterial population and dosage regimen optimisation
Concern regarding antimicrobial resistance has led to proposals for the prudent use of antimicrobial agents. Whilst this is appropriate, it is not sufficient. This article proposes that dosage schedules should be developed to provide a basis for the rational use of antimicrobial drugs. This requires...
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Veröffentlicht in: | International journal of antimicrobial agents 2000-05, Vol.14 (4), p.307-313 |
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creator | AliAbadi, F.Shojaee Lees, P |
description | Concern regarding antimicrobial resistance has led to proposals for the prudent use of antimicrobial agents. Whilst this is appropriate, it is not sufficient. This article proposes that dosage schedules should be developed to provide a basis for the rational use of antimicrobial drugs. This requires knowledge of resistance mechanisms and transfer, the biochemistry and structure of microorganisms and both the pharmacodynamics and pharmacokinetics of antimicrobial drugs. Dosage schedules should maintain concentrations at the site of infection in excess of MIC
90 for bacteriostatic drugs and bactericidal drugs acting primarily by time-dependent mechanisms whilst they should provide high AUIC and
C
max/minimum inhibitory concentration (MIC) values for agents acting mainly by concentration-dependent mechanisms. It is proposed that pharmacodynamic and population pharmacokinetic data should be integrated through use of the sigmoidal
E
max equation, together with mathematical modelling and appropriate statistical analyses, to take account of the natural variation in drug pharmacodynamics and pharmacokinetics. |
doi_str_mv | 10.1016/S0924-8579(00)00142-4 |
format | Article |
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90 for bacteriostatic drugs and bactericidal drugs acting primarily by time-dependent mechanisms whilst they should provide high AUIC and
C
max/minimum inhibitory concentration (MIC) values for agents acting mainly by concentration-dependent mechanisms. It is proposed that pharmacodynamic and population pharmacokinetic data should be integrated through use of the sigmoidal
E
max equation, together with mathematical modelling and appropriate statistical analyses, to take account of the natural variation in drug pharmacodynamics and pharmacokinetics.</description><identifier>ISSN: 0924-8579</identifier><identifier>EISSN: 1872-7913</identifier><identifier>DOI: 10.1016/S0924-8579(00)00142-4</identifier><identifier>PMID: 10794952</identifier><language>eng</language><publisher>London: Elsevier B.V</publisher><subject>Animal Diseases - drug therapy ; Animals ; Anti-Bacterial Agents - administration & dosage ; Anti-Bacterial Agents - classification ; Anti-Infective Agents - pharmacokinetics ; Antibacterial agents ; Antibiotics. Antiinfectious agents. Antiparasitic agents ; Antimicrobial drugs ; Biological and medical sciences ; dosage regimen ; Dosage schedule ; Drug Resistance, Microbial ; Fluoroquinolones ; Medical sciences ; Pharmacodynamics ; Pharmacokinetics ; Pharmacokinetics–pharmacodynamics integration ; Pharmacology. Drug treatments ; Quinolones - pharmacokinetics ; Ruminants - metabolism</subject><ispartof>International journal of antimicrobial agents, 2000-05, Vol.14 (4), p.307-313</ispartof><rights>2000 Elsevier Science B.V.</rights><rights>2000 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c421t-341f8deb091412fb80a6362416dcfe42491dfbd2a6330c559ac0b4cf473a06953</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/S0924-8579(00)00142-4$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>309,310,314,780,784,789,790,3550,23930,23931,25140,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1398938$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/10794952$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Gnanou, J-G</contributor><creatorcontrib>AliAbadi, F.Shojaee</creatorcontrib><creatorcontrib>Lees, P</creatorcontrib><title>Antibiotic treatment for animals: effect on bacterial population and dosage regimen optimisation</title><title>International journal of antimicrobial agents</title><addtitle>Int J Antimicrob Agents</addtitle><description>Concern regarding antimicrobial resistance has led to proposals for the prudent use of antimicrobial agents. Whilst this is appropriate, it is not sufficient. This article proposes that dosage schedules should be developed to provide a basis for the rational use of antimicrobial drugs. This requires knowledge of resistance mechanisms and transfer, the biochemistry and structure of microorganisms and both the pharmacodynamics and pharmacokinetics of antimicrobial drugs. Dosage schedules should maintain concentrations at the site of infection in excess of MIC
90 for bacteriostatic drugs and bactericidal drugs acting primarily by time-dependent mechanisms whilst they should provide high AUIC and
C
max/minimum inhibitory concentration (MIC) values for agents acting mainly by concentration-dependent mechanisms. It is proposed that pharmacodynamic and population pharmacokinetic data should be integrated through use of the sigmoidal
E
max equation, together with mathematical modelling and appropriate statistical analyses, to take account of the natural variation in drug pharmacodynamics and pharmacokinetics.</description><subject>Animal Diseases - drug therapy</subject><subject>Animals</subject><subject>Anti-Bacterial Agents - administration & dosage</subject><subject>Anti-Bacterial Agents - classification</subject><subject>Anti-Infective Agents - pharmacokinetics</subject><subject>Antibacterial agents</subject><subject>Antibiotics. Antiinfectious agents. Antiparasitic agents</subject><subject>Antimicrobial drugs</subject><subject>Biological and medical sciences</subject><subject>dosage regimen</subject><subject>Dosage schedule</subject><subject>Drug Resistance, Microbial</subject><subject>Fluoroquinolones</subject><subject>Medical sciences</subject><subject>Pharmacodynamics</subject><subject>Pharmacokinetics</subject><subject>Pharmacokinetics–pharmacodynamics integration</subject><subject>Pharmacology. 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Antiinfectious agents. Antiparasitic agents</topic><topic>Antimicrobial drugs</topic><topic>Biological and medical sciences</topic><topic>dosage regimen</topic><topic>Dosage schedule</topic><topic>Drug Resistance, Microbial</topic><topic>Fluoroquinolones</topic><topic>Medical sciences</topic><topic>Pharmacodynamics</topic><topic>Pharmacokinetics</topic><topic>Pharmacokinetics–pharmacodynamics integration</topic><topic>Pharmacology. Drug treatments</topic><topic>Quinolones - pharmacokinetics</topic><topic>Ruminants - metabolism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>AliAbadi, F.Shojaee</creatorcontrib><creatorcontrib>Lees, P</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>MEDLINE - Academic</collection><jtitle>International journal of antimicrobial agents</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>AliAbadi, F.Shojaee</au><au>Lees, P</au><au>Gnanou, J-G</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Antibiotic treatment for animals: effect on bacterial population and dosage regimen optimisation</atitle><jtitle>International journal of antimicrobial agents</jtitle><addtitle>Int J Antimicrob Agents</addtitle><date>2000-05-01</date><risdate>2000</risdate><volume>14</volume><issue>4</issue><spage>307</spage><epage>313</epage><pages>307-313</pages><issn>0924-8579</issn><eissn>1872-7913</eissn><abstract>Concern regarding antimicrobial resistance has led to proposals for the prudent use of antimicrobial agents. Whilst this is appropriate, it is not sufficient. This article proposes that dosage schedules should be developed to provide a basis for the rational use of antimicrobial drugs. This requires knowledge of resistance mechanisms and transfer, the biochemistry and structure of microorganisms and both the pharmacodynamics and pharmacokinetics of antimicrobial drugs. Dosage schedules should maintain concentrations at the site of infection in excess of MIC
90 for bacteriostatic drugs and bactericidal drugs acting primarily by time-dependent mechanisms whilst they should provide high AUIC and
C
max/minimum inhibitory concentration (MIC) values for agents acting mainly by concentration-dependent mechanisms. It is proposed that pharmacodynamic and population pharmacokinetic data should be integrated through use of the sigmoidal
E
max equation, together with mathematical modelling and appropriate statistical analyses, to take account of the natural variation in drug pharmacodynamics and pharmacokinetics.</abstract><cop>London</cop><cop>Amsterdam</cop><cop>New York, NY</cop><pub>Elsevier B.V</pub><pmid>10794952</pmid><doi>10.1016/S0924-8579(00)00142-4</doi><tpages>7</tpages></addata></record> |
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subjects | Animal Diseases - drug therapy Animals Anti-Bacterial Agents - administration & dosage Anti-Bacterial Agents - classification Anti-Infective Agents - pharmacokinetics Antibacterial agents Antibiotics. Antiinfectious agents. Antiparasitic agents Antimicrobial drugs Biological and medical sciences dosage regimen Dosage schedule Drug Resistance, Microbial Fluoroquinolones Medical sciences Pharmacodynamics Pharmacokinetics Pharmacokinetics–pharmacodynamics integration Pharmacology. Drug treatments Quinolones - pharmacokinetics Ruminants - metabolism |
title | Antibiotic treatment for animals: effect on bacterial population and dosage regimen optimisation |
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