کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5666996 1591739 2017 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Limited sampling strategies for determining the area under the plasma concentration-time curve for isoniazid might be a valuable approach for optimizing treatment in adult patients with tuberculosis
ترجمه فارسی عنوان
استراتژی های نمونه گیری محدود برای تعیین منطقه تحت منحنی زمان منحنی غلظت پلاسما برای ایزونیزید ممکن است یک روش ارزشمند برای بهینه سازی درمان در بزرگسالان مبتلا به سل
کلمات کلیدی
ایسانیوزید، قرار گرفتن در معرض مواد مخدر، استراتژی نمونه گیری محدود فارماکوکینتیک،
موضوعات مرتبط
علوم زیستی و بیوفناوری ایمنی شناسی و میکروب شناسی میکروبیولوژی و بیوتکنولوژی کاربردی
چکیده انگلیسی


- Isoniazid exposure following the standard dose may vary greatly between patients with tuberculosis.
- Optimizing isoniazid exposure is becoming an issue in the era of precision medicine.
- AUC estimation by a validated limited sampling strategy (LSS) model could represent a robust strategy for TDM.
- The validated LSS models developed in this study may accurately predict systemic exposure to isoniazid.

This study aimed to develop clinically feasible models of limited sampling strategy (LSS) for estimation of the area under the concentration-time curve (AUC24h) for isoniazid, that could be applied easily in daily clinical practice for dosage adjustment in adult patients with tuberculosis. Isoniazid plasma concentrations (n = 1665) from 185 adult tuberculous patients were used for the development and validation of LSS models to estimate AUC24h following administration of the standard 5 mg/kg dose of isoniazid. Population pharmacokinetic analysis for appropriate estimation of isoniazid pharmacokinetic parameters was performed in a modelling group (n = 100). The Bayesian estimates of AUC24h (AUCref) obtained for each individual were used as the dependent variable in the regression analysis for the development of various LSS models. The LSS models were validated in a separate cohort (n = 85). Several three and four time point LSS models were built and tested. Model H (AUC24h = −1.88 + 1.05 × C1 + 0.78 × C2 + 9.44 × C5) and Model I (AUC24h = −0.65 + 1.00 × C1 + 1.94 × C2 + 15.45 × C9) had the best performances [adj-R2 = 0.93, median prediction error (MPE) = −0.20, root median squared prediction error (RMSE) = 4.65 for Model H; adj-R2 = 0.96, MPE = −0.05 RMSE = 3.56 for Model I]. The very high R2 values (≥0.94) of these regression equations in the validation cohort confirmed their high reliability. These LSS models could be applied in the context of therapeutic drug monitoring programmes aiming to personalize isoniazid dosing regimens for adult patients with tuberculosis.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Antimicrobial Agents - Volume 50, Issue 1, July 2017, Pages 23-28
نویسندگان
, , , ,