Dataset Information

Predictors of Adverse Events and Determinants of the Voriconazole Trough Concentration in Kidney Transplantation Recipients.

ABSTRACT: Voriconazole is the mainstay for the treatment of invasive fungal infections in patients who underwent a kidney transplant. Variant CYP2C19 alleles, hepatic function, and concomitant medications are directly involved in the metabolism of voriconazole. However, the drug is also associated with numerous adverse events. The purpose of this study was to identify predictors of adverse events using binary logistic regression and to measure its trough concentration using multiple linear modeling. We conducted a prospective analysis of 93 kidney recipients cotreated with voriconazole and recorded 213 trough concentrations of it. Predictors of the adverse events were voriconazole trough concentration with the odds ratios (OR) of 2.614 (P = 0.016), cytochrome P450 2C19 (CYP2C19), and hemoglobin (OR 0.181, P = 0.005). The predictive power of these three factors was 91.30%. We also found that CYP2C19 phenotypes, hemoglobin, platelet count, and concomitant use of ilaprazole had quantitative relationships with voriconazole trough concentration. The fit coefficient of this regression equation was R² = 0.336, demonstrating that the model explained 33.60% of interindividual variability in the disposition of voriconazole. In conclusion, predictors of adverse events are CYP2C19 phenotypes, hemoglobin, and voriconazole trough concentration. Determinants of the voriconazole trough concentration were CYP2C19 phenotypes, platelet count, hemoglobin, concomitant use of ilaprazole. If we consider these factors during voriconazole use, we are likely to maximize the treatment effect and minimize adverse events.

SUBMITTER: Zhao YC

PROVIDER: S-EPMC7993276 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BACKGROUND AND OBJECTIVE:Given 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. METHODS:With 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. RESULTS:Our 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. CONCLUSION:This 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.

Project description:Older kidney transplant recipients are susceptible to cognitive impairment, frailty, comorbidities, immunosuppression-related complications, and chronic graft failure, however, there has been limited focus on their concerns and expectations related to transplantation. This study aims to describe the perspectives of older kidney transplant recipients about their experience of kidney transplantation, self-management, and treatment goals to inform strategies and interventions that address their specific needs.Face-to-face semistructured interviews were conducted with 30 kidney transplant recipients aged 65-80 years from five renal units in Australia. Transcripts were analyzed thematically.Six themes were identified: restoring vitality of youth (with subthemes of revived mindset for resilience, embracing enjoyment in life, drive for self-actualization); persisting through prolonged recovery (yielding to aging, accepting functional limitations, pushing the limit, enduring treatment responsibilities); imposing sicknesses (combatting devastating comorbidities, painful restrictions, emerging disillusionment, anxieties about accumulating side effects, consuming treatment burden); prioritizing graft survival (privileged with a miracle, negotiating risks for longevity, enacting a moral duty, preserving the last opportunity); confronting health deterioration (vulnerability and helplessness, narrowing focus to immediate concerns, uncertainty of survival); and value of existence (purpose through autonomy, refusing the burden of futile treatment, staying alive by all means).Older kidney transplant recipients felt able to enjoy life and strived to live at their newly re-established potential and capability, which motivated them to protect their graft. However, some felt constrained by slow recuperation and overwhelmed by unexpected comorbidities, medication-related side effects, and health decline. Our findings suggest the need to prepare and support older recipients for self-management responsibilities, clarify their expectations of post-transplant risks and outcomes, and provide assistance through prolonged recovery after kidney transplantation.

Dataset Information

Predictors of Adverse Events and Determinants of the Voriconazole Trough Concentration in Kidney Transplantation Recipients.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets