SLCO1B1 gene-based clinical decision support reduces statin-associated muscle symptoms risk with simvastatin

Author:

Massmann Amanda12ORCID,Van Heukelom Joel12ORCID,Green Robert C345,Hajek Catherine16,Hickingbotham Madison R7,Larson Eric A12,Lu Christine Y78,Wu Ann Chen78,Zoltick Emilie S7,Christensen Kurt D578ORCID,Schultz April12

Affiliation:

1. Sanford Imagenetics, Sanford Health, Sioux Falls, SD 57105, USA

2. Department of Internal Medicine, University of South Dakota School of Medicine, Vermillion, SD 57069, USA

3. Department of Medicine, Brigham & Women's Hospital & Harvard Medical School, Boston, MA 02115, USA

4. Ariadne Labs, Boston, MA 02215, USA

5. Broad Institute of Harvard & MIT, Cambridge, MA 02142, USA

6. Helix OpCo, LLC, San Mateo, CA 94401, USA

7. PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA

8. Department of Population Medicine, Harvard Medical School, Boston, MA 02215, USA

Abstract

Background: SLCO1B1 variants are known to be a strong predictor of statin-associated muscle symptoms (SAMS) risk with simvastatin. Methods: The authors conducted a retrospective chart review on 20,341 patients who had SLCO1B1 genotyping to quantify the uptake of clinical decision support (CDS) for genetic variants known to impact SAMS risk. Results: A total of 182 patients had 417 CDS alerts generated, and 150 of these patients (82.4%) received pharmacotherapy that did not increase risks for SAMS. Providers were more likely to cancel simvastatin orders in response to CDS alerts if genotyping had been done prior to the first simvastatin prescription than after (94.1% vs 28.5%, respectively; p < 0.001). Conclusion: CDS significantly reduces simvastatin prescribing at doses associated with SAMS.

Funder

Foundation for the National Institutes of Health

Publisher

Future Medicine Ltd

Subject

Pharmacology,Genetics,Molecular Medicine

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