Venous Thromboembolism – Current Treatment – Treatment Algorithms: Claims Data Analysis – Venous Thromboembolism (US)

Venous thromboembolism (VTE) is the obstruction of a vein caused by a thrombus. It consists of deep vein thrombosis (DVT) and pulmonary embolism (PE), depending on the vein affected. Current therapies include treatment and secondary prophylaxis with anticoagulants as well as acute treatment with thrombolytics in the case of severe events such as PE. Among all anticoagulant drugs, novel oral anticoagulants (NOACs) have gained popularity in recent years and become drivers of market growth. Nonetheless, low-molecular-weight heparins (LMWHs) are still widely prescribed. This analysis of claims data provides a quantitative picture of prescribing patterns for newly diagnosed and recently drug-treated VTE patients in the United States.

Questions answered

• What patient shares do key therapies and brands garner by line of therapy in newly diagnosed VTE? What are the quarterly trends in prescribing among recently treated and newly diagnosed VTE patients?
• How have NOACs been integrated into the treatment algorithm, and what is their source of business?
• What percentage of VTE patients receive drug therapy within 365 days of diagnosis, and how quickly? What percentage of patients progress to later lines of therapy within 365 days of diagnosis?
• What percentage of VTE 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 patients?

Markets covered: United States

Key companies: Boehringer Ingelheim, Pfizer, Sanofi, Mylan, Bristol Myers Squibb, Daiichi Sankyo, Johnson & Johnson Innovative Medicine, Genentech

Key drugs: Dabigatran etexilate mesylate, argatroban, dalteparin sodium, enoxaparin sodium, heparin sodium, fondaparinux sodium, apixaban, edoxaban, rivaroxaban, warfarin, alteplase

Product description

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, enabling you to:

• Understand patient flow between lines of therapy.
• Evaluate your brand share against competitors.
• Accurately assess your source of business.
• Quantify opportunities at different stages of the treatment algorithm.

Key feature

Dashboard featuring interactive visuals, easy navigation, and expanded analyses