Literature DB >> 17587549

Streptococcus pneumoniae bacteraemia: pharmacodynamic correlations with outcome and macrolide resistance--a controlled study.

Jerome J Schentag1, Keith P Klugman, Victor L Yu, Martin H Adelman, Gregory J Wilton, Christine C Chiou, Manish Patel, Bruce Lavin, Joseph A Paladino.   

Abstract

There are few data on macrolide pharmacodynamics in pneumococcal infections. We evaluated pneumococcal area under the inhibitory concentration-time curve (AUIC) values at the point of hospital admission in 59 bacteraemic patients failing in the community and in 98 bacteraemic controls without macrolide exposure. The area under the 24-h concentration-time curve (AUC24) was calculated for each patient using age, weight and daily dose; using minimum inhibitory concentrations (MICs), the values of AUIC (i.e. AUC24/MIC) were then computed. Clinical and outcome information was also collected in hospital. Five of six patients who died of pneumococcal bacteraemia in hospital received azithromycin, with a mean AUIC of 8.1 prior to hospital admission. Resistant isolates were recovered in 35 (59%) macrolide failures and in only 28 (29%) controls (P=0.001). Azithromycin AUICs averaged 10 in failure patients and 17 in controls. For clarithromycin and erythromycin, the mean AUIC values in failures were 31 and 53, respectively, and the AUIC in controls was >100. Low AUIC values against Streptococcus pneumoniae precede macrolide failures in the community. Patient factors do not predict these outcomes and thus the most likely explanation for macrolide failure in the community is inadequate macrolide activity in patients who receive these antibiotics for treatment of organisms that are not sufficiently susceptible.

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Year:  2007        PMID: 17587549     DOI: 10.1016/j.ijantimicag.2007.04.013

Source DB:  PubMed          Journal:  Int J Antimicrob Agents        ISSN: 0924-8579            Impact factor:   5.283


  7 in total

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2.  Pharmacokinetic/pharmacodynamic (PK/PD) indices of antibiotics predicted by a semimechanistic PKPD model: a step toward model-based dose optimization.

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Review 4.  New antimicrobial agents as therapy for resistant gram-positive cocci.

Authors:  J R Lentino; M Narita; V L Yu
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2008-01       Impact factor: 3.267

Review 5.  Learning from agriculture: understanding low-dose antimicrobials as drivers of resistome expansion.

Authors:  Yaqi You; Ellen K Silbergeld
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Review 6.  Macrolide Resistance in Streptococcus pneumoniae.

Authors:  Max R Schroeder; David S Stephens
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7.  PK-PD Modeling and Optimal Dosing Regimen of Acetylkitasamycin against Streptococcus suis in Piglets.

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  7 in total

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