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Effect of Delaying Treatment on Efficacy of Ciprofloxacin and Levofloxacin in the African Green Monkey Model of Pneumonic Plague.
- Source :
-
Clinical infectious diseases : an official publication of the Infectious Diseases Society of America [Clin Infect Dis] 2020 May 21; Vol. 70 (70 Suppl 1), pp. S60-S65. - Publication Year :
- 2020
-
Abstract
- Background: Ciprofloxacin and levofloxacin, 2 fluoroquinolone antimicrobials, are ≥90% effective for the treatment of inhalational plague when administered within 2-6 hours of fever onset in African green monkeys (AGM). Based on data in the AGM model, these antimicrobials were approved under the Food and Drug Administration's Animal Efficacy Rule. However, that data did not address the issue of how long treatment with these antimicrobials would remain effective after fever onset.<br />Methods: The AGM model of pneumonic plague was used to explore the effect of delaying treatment with ciprofloxacin and levofloxacin on efficacy. In 2 studies, AGMs were challenged with inhaled lethal doses of Yersinia pestis. Treatment with ciprofloxacin and levofloxacin was initiated from 0 to up to 30 hours after fever onset.<br />Results: Challenged animals all developed fever within 78 hours and were treated with ciprofloxacin (n = 27) or levofloxacin (n = 29) at various predetermined time points postfever. When administered 10 hours after fever onset, 10 days of ciprofloxacin and levofloxacin treatment remained very effective (90 or 100%, respectively). The efficacy of both antimicrobials declined as treatment initiation was further delayed. Statistical analyses estimated the treatment delay times at which half of the AGMs were no longer expected to survive as 19.7 hours for ciprofloxacin and 26.5 hours for levofloxacin.<br />Conclusions: This study demonstrates that there is a narrow window following fever onset during which ciprofloxacin and levofloxacin are fully effective treatment options for pneumonic plague in AGMs. Since the timing of disease is similar in humans and AGMs, these AGM data are reasonably likely to predict response times for treatment in humans.<br /> (Published by Oxford University Press for the Infectious Diseases Society of America 2020.)
Details
- Language :
- English
- ISSN :
- 1537-6591
- Volume :
- 70
- Issue :
- 70 Suppl 1
- Database :
- MEDLINE
- Journal :
- Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
- Publication Type :
- Academic Journal
- Accession number :
- 32435805
- Full Text :
- https://doi.org/10.1093/cid/ciz1234