rdf:type |
|
lifeskim:mentions |
|
pubmed:issue |
2
|
pubmed:dateCreated |
2007-4-17
|
pubmed:abstractText |
Selecting an appropriate agent for empiric antibiotic therapy for secondary peritonitis is challenging. The pathogens responsible, aerobic gram-negative bacilli in particular, are becoming more resistant to antibiotics. The purpose of this study was to predict the ability of common antimicrobial regimens to achieve optimal pharmacodynamic exposure against aerobic bacteria implicated in secondary peritonitis, while considering current national resistance trends.
|
pubmed:language |
eng
|
pubmed:journal |
|
pubmed:citationSubset |
IM
|
pubmed:chemical |
|
pubmed:status |
MEDLINE
|
pubmed:month |
Apr
|
pubmed:issn |
1096-2964
|
pubmed:author |
|
pubmed:issnType |
Print
|
pubmed:volume |
8
|
pubmed:owner |
NLM
|
pubmed:authorsComplete |
Y
|
pubmed:pagination |
215-26
|
pubmed:meshHeading |
pubmed-meshheading:17437367-Acinetobacter,
pubmed-meshheading:17437367-Anti-Infective Agents,
pubmed-meshheading:17437367-Bacteria, Aerobic,
pubmed-meshheading:17437367-Bacterial Infections,
pubmed-meshheading:17437367-Decision Making, Computer-Assisted,
pubmed-meshheading:17437367-Empirical Research,
pubmed-meshheading:17437367-Enterobacteriaceae,
pubmed-meshheading:17437367-Forecasting,
pubmed-meshheading:17437367-Gram-Positive Cocci,
pubmed-meshheading:17437367-Humans,
pubmed-meshheading:17437367-Microbial Sensitivity Tests,
pubmed-meshheading:17437367-Models, Biological,
pubmed-meshheading:17437367-Monte Carlo Method,
pubmed-meshheading:17437367-Peritonitis,
pubmed-meshheading:17437367-Pseudomonas aeruginosa
|
pubmed:year |
2007
|
pubmed:articleTitle |
Evaluating empiric treatment options for secondary peritonitis using pharmacodynamic profiling.
|
pubmed:affiliation |
Center for Anti-Infective Research Development, Hartford Hospital, Hartford, CT 06102, USA.
|
pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
|