Use of preclinical data for selection of a phase II/III dose for evernimicin and identification of a preclinical MIC breakpoint
ABSTRACT: One of the most challenging issues in the design of phase II/III clinical trials of antimicrobial agents is dose selection. The choice is often based on preclinical data from pharmacokinetic (PK) studies with animals and healthy volunteers but is rarely linked directly to the target organi...
- Autores:
-
Vesga Meneses, Omar
Preston, S. L.
Hardalo, C.
Hare, R.
Banfield, C.
Andes, D.
Drusano, G. L.
Craig, W. A.
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2001
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/44543
- Acceso en línea:
- https://hdl.handle.net/10495/44543
- Palabra clave:
- Aminoglicósidos
Aminoglycosides
Antibacterianos
Anti-Bacterial Agents
Resistencia a la Meticilina
Methicillin Resistance
Método de Montecarlo
Monte Carlo Method
Oligosacáridos
Oligosaccharides
Área Bajo la Curva
Area Under Curve
Bacterias Grampositivas
Gram-Positive Bacteria
Infecciones Bacterianas
Bacterial Infections
Pruebas de Sensibilidad Microbiana
Microbial Sensitivity Tests
Staphylococcus aureus
Unión Proteica
Protein Binding
https://id.nlm.nih.gov/mesh/D008826
https://id.nlm.nih.gov/mesh/D009010
https://id.nlm.nih.gov/mesh/D009844
https://id.nlm.nih.gov/mesh/D011485
https://id.nlm.nih.gov/mesh/D016106
https://id.nlm.nih.gov/mesh/D000617
https://id.nlm.nih.gov/mesh/D000900
https://id.nlm.nih.gov/mesh/D019540vvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvv
https://id.nlm.nih.gov/mesh/D001424
https://id.nlm.nih.gov/mesh/D006094
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by/2.5/co/
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| dc.title.spa.fl_str_mv |
Use of preclinical data for selection of a phase II/III dose for evernimicin and identification of a preclinical MIC breakpoint |
| title |
Use of preclinical data for selection of a phase II/III dose for evernimicin and identification of a preclinical MIC breakpoint |
| spellingShingle |
Use of preclinical data for selection of a phase II/III dose for evernimicin and identification of a preclinical MIC breakpoint Aminoglicósidos Aminoglycosides Antibacterianos Anti-Bacterial Agents Resistencia a la Meticilina Methicillin Resistance Método de Montecarlo Monte Carlo Method Oligosacáridos Oligosaccharides Área Bajo la Curva Area Under Curve Bacterias Grampositivas Gram-Positive Bacteria Infecciones Bacterianas Bacterial Infections Pruebas de Sensibilidad Microbiana Microbial Sensitivity Tests Staphylococcus aureus Unión Proteica Protein Binding https://id.nlm.nih.gov/mesh/D008826 https://id.nlm.nih.gov/mesh/D009010 https://id.nlm.nih.gov/mesh/D009844 https://id.nlm.nih.gov/mesh/D011485 https://id.nlm.nih.gov/mesh/D016106 https://id.nlm.nih.gov/mesh/D000617 https://id.nlm.nih.gov/mesh/D000900 https://id.nlm.nih.gov/mesh/D019540vvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvv https://id.nlm.nih.gov/mesh/D001424 https://id.nlm.nih.gov/mesh/D006094 |
| title_short |
Use of preclinical data for selection of a phase II/III dose for evernimicin and identification of a preclinical MIC breakpoint |
| title_full |
Use of preclinical data for selection of a phase II/III dose for evernimicin and identification of a preclinical MIC breakpoint |
| title_fullStr |
Use of preclinical data for selection of a phase II/III dose for evernimicin and identification of a preclinical MIC breakpoint |
| title_full_unstemmed |
Use of preclinical data for selection of a phase II/III dose for evernimicin and identification of a preclinical MIC breakpoint |
| title_sort |
Use of preclinical data for selection of a phase II/III dose for evernimicin and identification of a preclinical MIC breakpoint |
| dc.creator.fl_str_mv |
Vesga Meneses, Omar Preston, S. L. Hardalo, C. Hare, R. Banfield, C. Andes, D. Drusano, G. L. Craig, W. A. |
| dc.contributor.author.none.fl_str_mv |
Vesga Meneses, Omar Preston, S. L. Hardalo, C. Hare, R. Banfield, C. Andes, D. Drusano, G. L. Craig, W. A. |
| dc.contributor.researchgroup.spa.fl_str_mv |
GRIPE: Grupo Investigador de Problemas en Enfermedades Infecciosas |
| dc.subject.decs.none.fl_str_mv |
Aminoglicósidos Aminoglycosides Antibacterianos Anti-Bacterial Agents Resistencia a la Meticilina Methicillin Resistance Método de Montecarlo Monte Carlo Method Oligosacáridos Oligosaccharides Área Bajo la Curva Area Under Curve Bacterias Grampositivas Gram-Positive Bacteria Infecciones Bacterianas Bacterial Infections Pruebas de Sensibilidad Microbiana Microbial Sensitivity Tests Staphylococcus aureus Unión Proteica Protein Binding |
| topic |
Aminoglicósidos Aminoglycosides Antibacterianos Anti-Bacterial Agents Resistencia a la Meticilina Methicillin Resistance Método de Montecarlo Monte Carlo Method Oligosacáridos Oligosaccharides Área Bajo la Curva Area Under Curve Bacterias Grampositivas Gram-Positive Bacteria Infecciones Bacterianas Bacterial Infections Pruebas de Sensibilidad Microbiana Microbial Sensitivity Tests Staphylococcus aureus Unión Proteica Protein Binding https://id.nlm.nih.gov/mesh/D008826 https://id.nlm.nih.gov/mesh/D009010 https://id.nlm.nih.gov/mesh/D009844 https://id.nlm.nih.gov/mesh/D011485 https://id.nlm.nih.gov/mesh/D016106 https://id.nlm.nih.gov/mesh/D000617 https://id.nlm.nih.gov/mesh/D000900 https://id.nlm.nih.gov/mesh/D019540vvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvv https://id.nlm.nih.gov/mesh/D001424 https://id.nlm.nih.gov/mesh/D006094 |
| dc.subject.meshuri.none.fl_str_mv |
https://id.nlm.nih.gov/mesh/D008826 https://id.nlm.nih.gov/mesh/D009010 https://id.nlm.nih.gov/mesh/D009844 https://id.nlm.nih.gov/mesh/D011485 https://id.nlm.nih.gov/mesh/D016106 https://id.nlm.nih.gov/mesh/D000617 https://id.nlm.nih.gov/mesh/D000900 https://id.nlm.nih.gov/mesh/D019540vvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvv https://id.nlm.nih.gov/mesh/D001424 https://id.nlm.nih.gov/mesh/D006094 |
| description |
ABSTRACT: One of the most challenging issues in the design of phase II/III clinical trials of antimicrobial agents is dose selection. The choice is often based on preclinical data from pharmacokinetic (PK) studies with animals and healthy volunteers but is rarely linked directly to the target organisms except by the MIC, an in vitro measure of antimicrobial activity with many limitations. It is the thesis of this paper that rational dose-selection decisions can be made on the basis of the pharmacodynamics (PDs) of the test agent predicted by a mathematical model which uses four data sets: (i) the distribution of MICs for clinical isolates, (ii) the distribution of the values of the PK parameters for the test drug in the population, (iii) the PD target(s) developed from animal models of infection, and (iv) the protein binding characteristics of the test drug. In performing this study with the new anti-infective agent evernimicin, we collected a large number (n 5 4,543) of recent clinical isolates of gram-positive pathogens (Streptococcus pneumoniae, Enterococcus faecalis and Enterococcus faecium, and Staphylococcus aureus) and determined the MICs using E-test methods (AB Biodisk, Stockholm, Sweden) for susceptibility to evernimicin. Population PK data were collected from healthy volunteers (n 5 40) and patients with hypoalbuminemia (n 5 12), and the data were analyzed by using NPEM III. PD targets were developed with a neutropenic murine thigh infection model with three target pathogens: S. pneumoniae (n 5 5), E. faecalis (n 5 2), and S. aureus (n 5 4). Drug exposure or the ratio of the area under the concentration-time curve/MIC (AUC/MIC) was found to be the best predictor of microbiological efficacy. There were three possible microbiological results: stasis of the initial inoculum at 24 h (107 CFU), log killing (pathogen dependent, ranging from 1 to 3 log10), or 90% maximal killing effect (90% Emax). The levels of protein binding in humans and mice were similar. The PK and PD of 6 and 9 mg of evernimicin per kg of body weight were compared; the population values for the model parameters and population covariance matrix were used to generate five Monte Carlo simulations with 200 subjects each. The fractional probability of attaining the three PD targets was calculated for each dose and for each of the three pathogens. All differences in the fractional probability of attaining the target AUC/MIC in this PD model were significant. For S. pneumoniae, the probability of attaining all three PD targets was high for both doses. For S. aureus and enterococci, there were increasing differences between the 6- and 9-mg/kg evernimicin doses for reaching the 2 log killing (S. aureus), 1 log killing (enterococci), or 90% Emax AUC/MIC targets. This same approach may also be used to set preliminary in vitro MIC breakpoints. |
| publishDate |
2001 |
| dc.date.issued.none.fl_str_mv |
2001 |
| dc.date.accessioned.none.fl_str_mv |
2025-01-29T21:18:43Z |
| dc.date.available.none.fl_str_mv |
2025-01-29T21:18:43Z |
| dc.type.spa.fl_str_mv |
Artículo de investigación |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.type.redcol.spa.fl_str_mv |
https://purl.org/redcol/resource_type/ART |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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Drusano GL, Preston SL, Hardalo C, Hare R, Banfield C, Andes D, Vesga O, Craig WA. Use of preclinical data for selection of a phase II/III dose for evernimicin and identification of a preclinical MIC breakpoint. Antimicrob Agents Chemother. 2001 Jan;45(1):13-22. |
| dc.identifier.issn.none.fl_str_mv |
0066-4804 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/10495/44543 |
| dc.identifier.doi.none.fl_str_mv |
10.1128/AAC.45.1.13-22.2001 |
| dc.identifier.eissn.none.fl_str_mv |
1098-6596 |
| identifier_str_mv |
Drusano GL, Preston SL, Hardalo C, Hare R, Banfield C, Andes D, Vesga O, Craig WA. Use of preclinical data for selection of a phase II/III dose for evernimicin and identification of a preclinical MIC breakpoint. Antimicrob Agents Chemother. 2001 Jan;45(1):13-22. 0066-4804 10.1128/AAC.45.1.13-22.2001 1098-6596 |
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https://hdl.handle.net/10495/44543 |
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eng |
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eng |
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Antimicrob. Agents. Chemother. |
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22 |
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1 |
| dc.relation.citationstartpage.spa.fl_str_mv |
13 |
| dc.relation.citationvolume.spa.fl_str_mv |
45 |
| dc.relation.ispartofjournal.spa.fl_str_mv |
Antimicrobial Agents and Chemotherapy |
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http://creativecommons.org/licenses/by/2.5/co/ |
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10 páginas |
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American Society for Microbiology |
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Vesga Meneses, OmarPreston, S. L.Hardalo, C.Hare, R.Banfield, C.Andes, D.Drusano, G. L.Craig, W. A.GRIPE: Grupo Investigador de Problemas en Enfermedades Infecciosas2025-01-29T21:18:43Z2025-01-29T21:18:43Z2001Drusano GL, Preston SL, Hardalo C, Hare R, Banfield C, Andes D, Vesga O, Craig WA. Use of preclinical data for selection of a phase II/III dose for evernimicin and identification of a preclinical MIC breakpoint. Antimicrob Agents Chemother. 2001 Jan;45(1):13-22.0066-4804https://hdl.handle.net/10495/4454310.1128/AAC.45.1.13-22.20011098-6596ABSTRACT: One of the most challenging issues in the design of phase II/III clinical trials of antimicrobial agents is dose selection. The choice is often based on preclinical data from pharmacokinetic (PK) studies with animals and healthy volunteers but is rarely linked directly to the target organisms except by the MIC, an in vitro measure of antimicrobial activity with many limitations. It is the thesis of this paper that rational dose-selection decisions can be made on the basis of the pharmacodynamics (PDs) of the test agent predicted by a mathematical model which uses four data sets: (i) the distribution of MICs for clinical isolates, (ii) the distribution of the values of the PK parameters for the test drug in the population, (iii) the PD target(s) developed from animal models of infection, and (iv) the protein binding characteristics of the test drug. In performing this study with the new anti-infective agent evernimicin, we collected a large number (n 5 4,543) of recent clinical isolates of gram-positive pathogens (Streptococcus pneumoniae, Enterococcus faecalis and Enterococcus faecium, and Staphylococcus aureus) and determined the MICs using E-test methods (AB Biodisk, Stockholm, Sweden) for susceptibility to evernimicin. Population PK data were collected from healthy volunteers (n 5 40) and patients with hypoalbuminemia (n 5 12), and the data were analyzed by using NPEM III. PD targets were developed with a neutropenic murine thigh infection model with three target pathogens: S. pneumoniae (n 5 5), E. faecalis (n 5 2), and S. aureus (n 5 4). Drug exposure or the ratio of the area under the concentration-time curve/MIC (AUC/MIC) was found to be the best predictor of microbiological efficacy. There were three possible microbiological results: stasis of the initial inoculum at 24 h (107 CFU), log killing (pathogen dependent, ranging from 1 to 3 log10), or 90% maximal killing effect (90% Emax). The levels of protein binding in humans and mice were similar. The PK and PD of 6 and 9 mg of evernimicin per kg of body weight were compared; the population values for the model parameters and population covariance matrix were used to generate five Monte Carlo simulations with 200 subjects each. The fractional probability of attaining the three PD targets was calculated for each dose and for each of the three pathogens. All differences in the fractional probability of attaining the target AUC/MIC in this PD model were significant. For S. pneumoniae, the probability of attaining all three PD targets was high for both doses. For S. aureus and enterococci, there were increasing differences between the 6- and 9-mg/kg evernimicin doses for reaching the 2 log killing (S. aureus), 1 log killing (enterococci), or 90% Emax AUC/MIC targets. This same approach may also be used to set preliminary in vitro MIC breakpoints.COL000574410 páginasapplication/pdfengAmerican Society for MicrobiologyWashington, Estados Unidoshttp://creativecommons.org/licenses/by/2.5/co/https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Use of preclinical data for selection of a phase II/III dose for evernimicin and identification of a preclinical MIC breakpointArtículo de investigaciónhttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAminoglicósidosAminoglycosidesAntibacterianosAnti-Bacterial AgentsResistencia a la MeticilinaMethicillin ResistanceMétodo de MontecarloMonte Carlo MethodOligosacáridosOligosaccharidesÁrea Bajo la CurvaArea Under CurveBacterias GrampositivasGram-Positive BacteriaInfecciones BacterianasBacterial InfectionsPruebas de Sensibilidad MicrobianaMicrobial Sensitivity TestsStaphylococcus aureusUnión ProteicaProtein Bindinghttps://id.nlm.nih.gov/mesh/D008826https://id.nlm.nih.gov/mesh/D009010https://id.nlm.nih.gov/mesh/D009844https://id.nlm.nih.gov/mesh/D011485https://id.nlm.nih.gov/mesh/D016106https://id.nlm.nih.gov/mesh/D000617https://id.nlm.nih.gov/mesh/D000900https://id.nlm.nih.gov/mesh/D019540vvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvhttps://id.nlm.nih.gov/mesh/D001424https://id.nlm.nih.gov/mesh/D006094Antimicrob. Agents. 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