Genetically Guided Statin Therapy

Abstract

Statins are important and effective medications to lower cholesterol and prevent cardiovascular disease. Long-term adherence is a challenge, due, in part, to statin intolerance due to musculoskeletal side effects. In objective 1, we randomly assigned 159 primary care patients with statin intolerance not prescribed statins to either genotype-guided statin therapy (GGST) or usual care. GGST patients and their providers received *5 genetic risk information about statin side effects and genotype-specific statin prescription recommendations. Patients in the usual care arm received general information regarding statin risk and prescriptions. The outcomes measured at 3 and 8 months were statin reinitiation, low-density lipoprotein cholesterol (LDLc), and statin adherence using the validated Morisky Medication Adherence Scale. In primary care patients with statin intolerance, SLCO1B1 GGST is effective in lowering LDLc compared to usual care (131.9 +/- 42.0 vs. 144.4 +/- 43.0, p=0.041). GGST, however, did not improve statin adherence in those who reinitiated statin therapy. In objective #2, we used electronic medical record billing, laboratory, and pharmacy data to build and validate a predictive model that identifies patients who will be nonadherent to statin therapy. The overall accuracy of this model as assessed by the area under the receiver operating characteristics curve was 0.81.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2017
Accession Number
AD1030764

Entities

People

  • Deepak Voora

Organizations

  • Duke University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Cardiovascular Diseases
  • Data Science
  • Databases
  • Diseases And Disorders
  • Health Care
  • Health Services
  • Information Science
  • Lipids
  • Medical Personnel
  • Myocardial Ischemia
  • Pharmacies
  • Predictive Modeling
  • Side Effects
  • Statistical Analysis
  • Surveys
  • Therapy

Fields of Study

  • Medicine

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  • Biotechnology
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