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Personalized Warfarin Dosing by Genomics and Computational Intelligence

NCT00872079 · Status: TERMINATED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 175

Last updated 2014-02-24

Study results available
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Summary

This study will create a computer program that can be used to help dose a drug called warfarin for the prevention of blood clotting. The study will collected specific information about those patients receiving this drug and use that information to create a computer program that will predict the effects of the drug. With this prediction program in place, the investigators can perform a series of "what if I gave this amount of drug" simulations to determine the best dose of drug for that patient. Once the computer programs are developed, the investigators will test the program in patients that actually need this drug. They will also include genetic information into the prediction since it has been shown that this information can affect how well the drug works. Patients will have this genetic information determined during this study.

Conditions

Interventions

DEVICE

Genomics

Model predictive control is a computer based algorithm that can be applied to drug dosing. This computer tool uses a model of how a patient will respond to a drug dose based on demographic and historical dosing information to predict a new drug response. A drug dose controller applies all possible doses to the response model and selects the one dose that best meets the stated goals of the drug therapy. In the case of warfarin, we will calculate an international normalized ratio (INR) value within a specific target range.

Sponsors & Collaborators

Principal Investigators

  • Michael E. Brier, PhD · VA Medical Center, Louisville

Study Design

Allocation
NA
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2008-09-30
Primary Completion
2011-09-30
Completion
2011-09-30

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases
Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT00872079 on ClinicalTrials.gov