کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6117844 1591766 2015 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Use of Monte Carlo simulation to evaluate the development of vancomycin resistance in meticillin-resistant Staphylococcus aureus
ترجمه فارسی عنوان
استفاده از شبیه سازی مونت کارلو برای ارزیابی توسعه مقاومت ونکوماسین در استافیلوکوکوس اورئوس مقاوم به متیسیلین
موضوعات مرتبط
علوم زیستی و بیوفناوری ایمنی شناسی و میکروب شناسی میکروبیولوژی و بیوتکنولوژی کاربردی
چکیده انگلیسی
Monte Carlo simulations were performed for various vancomycin dosage regimens to evaluate the potential for development of vancomycin resistance in meticillin-resistant Staphylococcus aureus (MRSA). When the target of free AUC24/MIC ≥ 200 was considered (where AUC24 is the area under the drug concentration-time curve in a 24-h interval and MIC is the minimum inhibitory concentration), a standard dose regimen (1000 mg every 12 h) yielded unacceptable simulated outcomes in patients with normal renal function; in particular, the probability of target attainment (PTA) was only 30.5% at an MIC of 1 mg/L. For the same dosage regimens and the mutant prevention concentration (MPC)-based pharmacokinetic target (total AUC24/MPC > 15), the cumulative fraction of response exceeded 80% for all renal function strata; low values of PTA (<80%) were obtained only for isolates with MPCs of ≥22.4 mg/L, which consisted of all 21 strains of heterogeneous vancomycin-intermediate S. aureus (hVISA) and a handful of non-hVISA strains with MICs of 2 mg/L (32%; 16/50). Based on the current status of vancomycin resistance, we conclude that total AUC24/MPC > 15, derived from in vivo experiments, is more suitable to predict the development of vancomycin resistance. In clinical practice, individualised vancomycin therapy should be considered to minimise selection of resistance mutations.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Antimicrobial Agents - Volume 45, Issue 6, June 2015, Pages 652-656
نویسندگان
, , , , , , , ,