Scleroderma (Systemic Sclerosis) | Treatment Algorithms: Claims Data Analysis | US | 2019

Scleroderma (systemic sclerosis [SSc]) is a rare progressive autoimmune disorder characterized by skin fibrosis, systemic inflammation, and varying degrees of vasculopathy that manifest as Raynaud’s disease and, often, painful digital ulcers. Risks of PAH, ILD, and renal crisis are higher in SSc patients than in the general population and underlie a high mortality rate. A complex array of treatments may be used in the management of SSc; systemic immunosuppressants are prescribed to treat ILD and skin fibrosis, while other symptoms (e.g., PAH, vasculopathy, renal crisis) are treated with varying combinations of calcium-channel blockers, endothelin receptor antagonists, PDE-5 inhibitors, prostacyclin analogues, and ACE inhibitors. This content provides context for emerging players seeking to capitalize on the unmet needs in this underserved arena.

Questions Answered

  • What patient share do key therapies and brands garner by line of therapy in newly diagnosed SSc patients? What are the quarterly trends in prescribing among recently treated and newly diagnosed SSc patients?
  • What proportion of SSc patients receive drug therapy within one year of diagnosis, and how quickly? What percentage of patients progress to later lines of therapy within one year of diagnosis?
  • What percentage of SSc patients are treated with monotherapy versus combination therapy? What are the most widely used combination therapies?
  • What are the product-level compliance and persistency rates among drug-treated patients with SSc?

Product Description

Treatment Algorithms: Claims Data Analysis provides detailed analysis of brand usage across different lines of therapy using real-world, patient-level claims data, so you can accurately assess your source of business and quantify areas of opportunity for increasing your brand share.

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