Gout is a chronic condition characterized by intermittent acute flares caused by elevated serum uric acid (sUA). Treatment of the painful acute flares is distinct from the chronic management of hyperuricemia with urate-lowering therapies and is not considered in this study. Xanthine oxidase inhibitors (XOIs) are the mainstay of chronic gout treatment, with generic allopurinol prescribed much more extensively than brands Uloric and Zurampic. This report presents urate-lowering therapy prescribing patterns and provides insights into the uptake of novel branded agents against the background of generic allopurinol dominance.

QUESTIONS ANSWERED

  • What patient shares do key therapies and brands garner by line of therapy in newly diagnosed gout patients? What are the quarterly trends in prescribing among recently treated and newly diagnosed gout patients?
  • How has Uloric been integrated into the treatment algorithm, and what is its source of business?
  • What percentage of gout 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 gout 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?

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 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.

Table of contents

  • Detailed, Expanded Analysis: Treatment Algorithms: Claims Data Analysis (US)
    • Treatment Algorithm Claims Data Analysis Gout US January 2020

Author(s): Kahkashan Resham, Ph.D

Kahkashan Resham is a senior research associate in the Cardiovascular, Metabolic and Renal disorders team at Decision Resources Group. Her current work is focused on writing treatment algorithm reports, key opinion leader identification, clinical trial pipeline pulls, as well as secondary research across multiple cardiovascular and metabolic indications. Prior to joining DRG, Resham obtained her doctorate in Pharmacology from National Institute of Pharmaceutical Education and Research (NIPER), Nagar, India. She completed her M. Pharm. from the NIPER Hyderabad and was awarded a gold medal for securing 1st rank in the Institute. She holds a bachelor’s degree in Pharmacy from Birla Institute of Technology, Ranchi, India. Resham has also published several peer-reviewed research articles in the area of drug metabolism, diabetes and chemotherapy-induced peripheral neuropathic pain.


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