Dyslipidemia | Treatment Algorithms | Claims Data Analysis | US | 2019

Dyslipidemia is a key modifiable risk factor for cardiovascular (CV) disease. Current lipid-modifying therapies, including statins, ezetimibe, fibrates, omega-3 fatty acid compounds, and PCSK9 inhibitors, focus on improving lipid levels with an end goal to achieve CV risk reduction. Statins dominate the market owing to their good risk-benefit profile and evidence for reducing CV morbidity and mortality. With the positive outcomes data for certain nonstatin therapies such as PCSK9 inhibitors and Vascepa, treatment dynamics are evolving. Using a longitudinal claims data analysis, we demonstrate how dyslipidemia is treated in the United States in both newly diagnosed and recently treated patients.


  • What patient shares do key therapies and brands garner by line of therapy in newly diagnosed dyslipidemia patients? What are the quarterly trends in prescribing among recently treated and newly diagnosed dyslipidemia patients?
  • How have PCSK9 inhibitors been integrated into the treatment algorithm?
  • What percentage of dyslipidemia patients receive drug therapy within one year of diagnosis, and how quickly do they receive it? What percentage of patients progress to later lines of therapy within one year of diagnosis?
  • What percentage of dyslipidemia patients are treated with monotherapy versus combination therapy? What are the most commonly used combinations?
  • What are the product-level compliance and persistency rates among drug-treated dyslipidemia patients?


Treatment Algorithms: Claims Data Analysis provides detailed, quantitative analysis of the treatment journey and brand usage across lines of therapy and overall using real-world, patient-level claims data, so that marketers can accurately assess their source of business, benchmark usage against competitors, and quantify areas of opportunity for their marketed or emerging brand.

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