Dosing algorithms for initiation of immunosuppressive drugs in solid organ transplant recipients.

Clicks: 341
ID: 72779
2015
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
Starting doses of tacrolimus and ciclosporin are typically chosen on a calculated mg/kg bodyweight basis. After initiation of treatment, doses are adjusted with therapeutic drug monitoring (TDM). This trial-and-error approach has been accepted by most physicians and pharmacists involved in the care of transplanted patients.Dosing algorithms have only fairly recently been proposed to better individualize the starting dose. This review provides an overview of all the currently available dosing algorithms in adult and children for the starting dose of ciclosporin, tacrolimus and mycophenolic acid. In these algorithms, multiple other covariates influencing the starting dose, such as age, hematocrit, comedication and genotype are taken into account. After selecting the starting dose with an algorithm and after initiation of treatment, TDM will, however, remain necessary. Whether or not implementation of such algorithms will improve clinical outcome remains to be demonstrated.First of all an algorithm needs to be validated, against an independent dataset. Second, in a prospective study the algorithm should prove to reduce the time to reach the target concentration, and to reduce the number of patients with drug concentrations (far) outside the therapeutic window. Finally, a clinical trial demonstrating a benefit on clinical outcome will be crucial in achieving broad acceptance of calculating starting dose using individualized dosing algorithms.
Reference Key
andrews2015dosingexpert Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Andrews, Louise M;Riva, Natalia;de Winter, Brenda C;Hesselink, Dennis A;de Wildt, Saskia N;Cransberg, Karlien;van Gelder, Teun;
Journal expert opinion on drug metabolism & toxicology
Year 2015
DOI
10.1517/17425255.2015.1033397
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.