Combination antiviral therapy for influenza: predictions from modeling of human infections
- PMID: 22448006
- PMCID: PMC3415857
- DOI: 10.1093/infdis/jis265
Combination antiviral therapy for influenza: predictions from modeling of human infections
Abstract
Emergence of resistance is a major concern in influenza antiviral treatment and prophylaxis. Combination antiviral therapy might overcome this problem. Here, we estimate that all possible single mutants and a sizeable fraction of double mutants are generated during an uncomplicated influenza infection. While most of them may sustain a fitness cost, some variants may confer drug resistance and be selected during therapy. We argue that a triple combination regimen would markedly reduce the risk of antiviral resistance emergence in seasonal and pandemic influenza viruses, especially in seriously ill or immunocompromised hosts.
References
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