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First-line treatment of chronic heart failure (CHF) usually involves an angiotensin-converting enzyme (ACE) inhibitor, an oral beta blocker, and an oral diuretic. The addition of a second- or third-line treatment is often needed to better manage the disease. The CHF market is heavily genericized, and prescribers have many drugs and drug classes from which to call upon, creating a high barrier to uptake for novel branded agents. This CHF treatment algorithm offers insight into the prescribing patterns across all CHF patients in the United States.
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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Dwaipayan Chatterjee is an Analyst in the Cardiovascular, Metabolism Renal and Hematology disease team at Decision Resources Group. He holds a degree with specialization in Pharmaceutical Chemistry from Birla Institute of Technology & Science, Pilani, Rajasthan, India. Prior joining DRG, he worked as an Equity Analyst for the Healthcare sector with Market Realist working on competitive intelligence and analysis of pharmaceutical financial data. He also worked as a market research analyst for Mordor Intelligence with experience of market sizing, forecasting, and analyzing market dynamics.