SLCO1B1 gene-based clinical decision support reduces statin-associated muscle symptoms risk with simvastatin.
Amanda MassmannJoel Van HeukelomRobert C GreenCatherine HajekMadison R HickingbothamEric A LarsonChristine Y LuAnn Chen WuEmilie S ZoltickKurt D ChristensenApril SchultzPublished in: Pharmacogenomics (2023)
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.
Keyphrases
- clinical decision support
- quantum dots
- end stage renal disease
- ejection fraction
- cardiovascular disease
- newly diagnosed
- skeletal muscle
- copy number
- prognostic factors
- high throughput
- genome wide
- primary care
- dna methylation
- smoking cessation
- physical activity
- type diabetes
- climate change
- patient reported outcomes
- depressive symptoms
- risk assessment
- visible light
- human health