Utilizing Monte Carlo Simulations to Optimize Institutional Empiric Antipseudomonal Therapy.

Pseudomonas aeruginosa is a common pathogen implicated in nosocomial infections with increasing resistance to a limited arsenal of antibiotics. Monte Carlo simulation provides antimicrobial stewardship teams with an additional tool to guide empiric therapy. We modeled empiric therapies with antipseudomonal β-lactam antibiotic regimens to determine which were most likely to achieve probability of target attainment (PTA) of ≥90%.

Adherence among rural HIV-infected patients in the deep south: a comparison between single-tablet and multi-tablet once-daily regimens.

Background: Once-daily (QD), combination antiretroviral therapy (ART) can impact the willingness and ability of patients to take medications as directed. The impact of antiretroviral (ARV) drug adherence influenced by single-tablet (STR) versus multi-tablet regimens (MTR) among patients enrolled in the AIDS Drug Assistance Program (ADAP) in a rural environment has not yet been assessed.

Material And Methods: A retrospective chart review evaluated adherence and outcomes in adult HIV-infected patients enrolled in the ADAP at 2 ambulatory clinics in the Southeast, taking either a QD STR (efavirenz [EFV]/emtricitabine/tenofovir [TDF]) or a QD protease inhibitor (PI)-based, MTR (atazanavir [ATV], ritonavir [RTV], and emtricitabine/TDF) by evaluating pharmacy refill records, patient self-reported adherence, and virologic response.