Journal
CLINICAL PHARMACOLOGY & THERAPEUTICS
Volume 102, Issue 5, Pages 859-869Publisher
WILEY
DOI: 10.1002/cpt.709
Keywords
-
Categories
Funding
- NIH [K23 GM100288-01A1]
- NIH/National Heart, Lung, and Blood Institute grant [5 U01 HL105198-09]
- University of Chicago Pritzker Summer Research Program (NIH) [2T35D062719-26]
- Conquer Cancer Foundation of the American Society for Clinical Oncology
- William F. O'Connor Foundation
- University of Chicago Comprehensive Cancer Center
- University of Chicago Bucksbaum Institute for Clinical Excellence Pilot Award
- Central Society for Clinical and Translational Research - Early Career Development Award
Ask authors/readers for more resources
Changes in behavior are necessary to apply genomic discoveries to practice. We prospectively studied medication changes made by providers representing eight different medicine specialty clinics whose patients had submitted to preemptive pharmacogenomic genotyping. An institutional clinical decision support (CDS) system provided pharmacogenomic results using traffic light alerts: green = genomically favorable, yellow = genomic caution, red = high risk. The influence of pharmacogenomic alerts on prescribing behaviors was the primary endpoint. In all, 2,279 outpatient encounters were analyzed. Independent of other potential prescribing mediators, medications with high pharmacogenomic risk were changed significantly more often than prescription drugs lacking pharmacogenomic information (odds ratio (OR) = 26.2 (9.0-75.3), P < 0.0001). Medications with cautionary pharmacogenomic information were also changed more frequently (OR = 2.4 (1.7-3.5), P < 0.0001). No pharmacogenomically high-risk medications were prescribed during the entire study when physicians consulted the CDS tool. Pharmacogenomic information improved prescribing in patterns aimed at reducing patient risk, demonstrating that enhanced prescription decision-making is achievable through clinical integration of genomic medicine.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available