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The earliest trough concentration predicts the dose of tacrolimus required for remission induction therapy in ulcerative colitis patients.

ABSTRACT: Oral tacrolimus therapy is effective for refractory ulcerative colitis (UC), but dose adjustment according to the trough concentrations which varies largely among individuals, is required. This study aimed to identify factors to predict the tacrolimus dose required for achieving the target trough level for remission induction of UC.Forty-seven consecutive UC patients who were treated with tacrolimus were retrospectively analyzed. Tacrolimus doses were adjusted every 2 or 3 days to achieve trough concentrations of 10-15 ng/mL. The dose required for reaching the target trough level was analyzed based on disease characteristics, course of trough concentrations, and gene polymorphism related to tacrolimus metabolism.Median daily dose of tacrolimus required for achieving the target trough level was 0.19 (0.07-0.42) mg/kg, and patients were divided into high or low dose group (< 0.2 mg/kg or > 0.2 mg/kg). The value of initial trough concentration/starting dose was higher in the low dose group than in the high dose group (1.35 ng/mL/mg vs. 0.78 ng/mL/mg, p < 0.0001). Although presence of CYP3A5 *1 was more frequently observed in the high dose group, initial trough concentration was the only significant factor for determining requirement of high dose of tacrolimus (OR = 28.0, 95% confidence interval 3.20 - 631).The most practical predictor of the dose required for achieving the target trough concentration was the trough concentration measured 2 or 3 days after starting tacrolimus therapy. Our findings would make tarcolimus administration for UC safer, easier and more effective.

SUBMITTER: Hiraoka S

PROVIDER: S-EPMC4450494 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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The earliest trough concentration predicts the dose of tacrolimus required for remission induction therapy in ulcerative colitis patients.

Hiraoka Sakiko S Kato Jun J Moritou Yuki Y Takei Daisuke D Inokuchi Toshihiro T Nakarai Asuka A Takahashi Sakuma S Harada Keita K Okada Hiroyuki H Yamamoto Kazuhide K

BMC gastroenterology 20150429

<h4>Background</h4>Oral tacrolimus therapy is effective for refractory ulcerative colitis (UC), but dose adjustment according to the trough concentrations which varies largely among individuals, is required. This study aimed to identify factors to predict the tacrolimus dose required for achieving the target trough level for remission induction of UC.<h4>Methods</h4>Forty-seven consecutive UC patients who were treated with tacrolimus were retrospectively analyzed. Tacrolimus doses were adjusted ...[more]

PMID: 25925267

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Project description:Background and objectiveGiven that a high intrapatient variability (IPV) of tacrolimus whole blood concentration increases the risk for a poor kidney transplant outcome, some experts advocate routine IPV monitoring for detection of high-risk patients. However, attempts to estimate the variance of tacrolimus trough concentrations (TTC) are limited by the need for patients to receive a fixed dose over time and/or the use of linear statistical models. A goal of this study is to overcome the current limitations through the novel application of statistical methodology generalizing the relationship between TTC and dose through the use of nonparametric functional regression modeling.MethodsWith TTC as a response and dose as a covariate, the model employs an unknown bivariate function, allowing for the potentially complex, nonlinear relationship between the two parameters. A dose-adjusted variance of TTC is then derived based on standard functional principal component analysis (FPCA). To assess the model, it was compared against an FPCA-based model and linear mixed-effects models using prediction error, bias, and coverage probabilities for simulated data as well as phase III data from the Astellas new drug application studies for extended-release tacrolimus.ResultsOur numerical investigation indicates that the new model better predicts dose-adjusted TTCs compared with the prediction of linear mixed effects models. Estimated coverage probabilities also indicate that the new model accurately accounts for the variance of TTC during the periods of large fluctuation in dose, whereas the linear mixed effects model consistently underestimates the coverage probabilities because of the inaccurate characterization of TTC fluctuation.ConclusionThis is the first known application of a functional regression model to assess complex relationships between TTC and dose in a real clinical setting. This new method has applicability in future clinical trials including real-world data sets due to flexibility of the nonparametric modeling approach.

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The earliest trough concentration predicts the dose of tacrolimus required for remission induction therapy in ulcerative colitis patients.

Publications

The earliest trough concentration predicts the dose of tacrolimus required for remission induction therapy in ulcerative colitis patients.

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