华法林
药效学
医学
加药
肾功能
凝血酶原时间
内科学
药理学
泌尿科
药代动力学
心房颤动
作者
Toshinori Hirai,Takahiko Aoyama,Yasuhiro Tsuji,Toshimasa Itoh,Yoshiaki Matsumoto,Takuya Iwamoto
摘要
Aims Genotype‐guided dosing algorithms can explain about half of the interindividual variability in prothrombin time–international normalized ratio (PT‐INR) under warfarin treatment. This study aimed to refine a published kinetic–pharmacodynamic model and guide warfarin dosage for an optimal PT‐INR based on renal function. Methods Using a retrospective cohort of adult patients (>20 years) who were administered warfarin and underwent PT‐INR measurements, we refined the kinetic–pharmacodynamic model with age and the genotypes of cytochrome P450 2C9 and vitamin K epoxide reductase complex subunit 1 using the PRIOR subroutine in the nonlinear‐mixed‐effect modelling programme. We searched the significant covariates for parameters, such as the dose rate for 50% inhibition of coagulation ( EDR 50 ), using a stepwise forward and backward method. Monte Carlo simulation determined a required daily dose of warfarin with a target range of PT‐INR (2.0–3.0 or 1.6–2.6) based on the significant covariates. Results A total of 350 patients with 2762 PT‐INR measurements were enrolled (estimated glomerular filtration rate [eGFR]: 47.5 [range: 2.6–199.0] mL/min/1.73 m 2 ). The final kinetic–pharmacodynamic model showed that the EDR 50 changed power functionally with body surface area, serum albumin level and eGFR. Monte Carlo simulation revealed that a lower daily dose of warfarin was required to attain the target PT‐INR range as eGFR decreased. Conclusions Model‐informed precision dosing of warfarin is a valuable approach for estimating its dosage in patients with renal impairment.
科研通智能强力驱动
Strongly Powered by AbleSci AI