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ABSTRACT: Background
Levofloxacin is used for the treatment of multidrug-resistant tuberculosis; however the optimal dose is unknown.Methods
We used the hollow fiber system model of tuberculosis (HFS-TB) to identify 0-24 hour area under the concentration-time curve (AUC0-24) to minimum inhibitory concentration (MIC) ratios associated with maximal microbial kill and suppression of acquired drug resistance (ADR) of Mycobacterium tuberculosis (Mtb). Levofloxacin-resistant isolates underwent whole-genome sequencing. Ten thousands patient Monte Carlo experiments (MCEs) were used to identify doses best able to achieve the HFS-TB-derived target exposures in cavitary tuberculosis and tuberculous meningitis. Next, we used an ensemble of artificial intelligence (AI) algorithms to identify the
SUBMITTER: Deshpande D
PROVIDER: S-EPMC6260169 | biostudies-literature | 2018 Nov
REPOSITORIES: biostudies-literature