Computer Guided Doing of Tacrolimus in Renal Transplantation (OPTIMAL)

December 2, 2014 updated by: University of Oslo School of Pharmacy

Prospective Testing of Pharmacokinetic Population Models for Dosing of Transplanted Patients

Dosing of tacrolimus is challenging due to the large inter-individual variation in its pharmacokinetics. The investigators have developed a pharmacokinetics population model that can be used to estimate individual doses of tacrolimus in renal transplant recipients. The model will be prospective tested in a randomized clinical trial.

The hypothesis is that the computer model is superior to experienced transplant physicians in reaching and keeping the patients in the target range of tacrolimus.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Detailed Description

Patients will be randomized to either computer or standard dosing strategies at time of transplantation or as early after transplantation as possible in case of deceased donor transplants.

For patients in the computer arm the model will calculate the dose with the highest probability to reach the specified concentration target.

For all concentrations a predictive error will be calculated and this will be the primary endpoint that the statistics will be calculated on.

All patients will be followed for between 8 to 12 weeks post-transplant, according to center praxis.

Study Type

Interventional

Enrollment (Actual)

80

Phase

  • Phase 4

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • Norway
      • Oslo, Norway, 0424
        • Olso university hospital - Rikshospitalet

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • renal transplant recipients using tacrolimus as part of their immunosuppression
  • above 18 years
  • signed informed consent

Exclusion Criteria:

  • no specific

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Computer dosed
Patients for which the computer model will calculate the individual doses
Other: Computer dosing
Pharmacokinetic population model for individual dose estimations of tacrolimus based on concentrations measurements and inclusion of relevant covariates
Active Comparator: Control
Patients which will get their tacrolimus doses determined by experience transplant physicians
Other: Standard dose determination
Tacrolimus dose determination according to trough concentrations and standard TDM at the clinic

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Predictive error (Cpred-Cobs)
Time Frame: 8 to 12 weeks
Predictive error will be calculated as the computer predicted concentration minus the measured concentration over the first 8 to 12 weeks post-transplant in the computer group. The calculations will be binned into weekly assessments.
8 to 12 weeks
Reaching the target concentration
Time Frame: 8 to 12 weeks post-transplant
In each arm the deviation of the observed concentration front he preset target concentration will be calculated for each measured concentration. The deviations will be compared between the two arms.
8 to 12 weeks post-transplant

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Influence of CYP3A5 genotyping
Time Frame: 8 to 12 weeks post-transplant
The model will be run without any information about patients CYP3A5 genotype as this is not clinical praxis at our center yet. All patients will however be genotyped after the study and a model including this covariate will be used to recalculate the data and see if this model is superior to the simple model, primary by comparing predictive errors in the computer arm.
8 to 12 weeks post-transplant

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

University of Oslo School of Pharmacy

Collaborators

Rikshospitalet University Hospital

Investigators

  • Study Chair: Anders Åsberg, PhD, OUS-Rikshospitalet and University of Oslo

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

January 1, 2014

Primary Completion (Actual)

July 1, 2014

Study Completion (Actual)

July 1, 2014

Study Registration Dates

First Submitted

December 9, 2013

First Submitted That Met QC Criteria

December 11, 2013

First Posted (Estimate)

December 12, 2013

Study Record Updates

Last Update Posted (Estimate)

December 3, 2014

Last Update Submitted That Met QC Criteria

December 2, 2014

Last Verified

December 1, 2014

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • OPTIMAL-13

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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