DRG Epidemiology's coverage of heart failure (HF) comprises epidemiological estimates of key patient populations across 45 countries worldwide. We report both the diagnosed event rates of AHF and the diagnosed prevalence for CHF for each country, as well as annualized case counts projected to the national population.

Most patient populations are forecast over a period of 20 years for the major mature pharmaceutical markets of the United States, Europe, and Japan, and 10 years for the other countries covered in this report.

All forecast data are available on the DRG Insights Platform in tabular format, with options to download to MS Excel. All populations are accompanied by a comprehensive description of the methods and data sources used, with hyperlinks to external sources. A summary evidence table generated as part of our systematic review of the epidemiological literature is also provided for full transparency into research and methods.

DRG Epidemiology's HF forecast will answer the following questions:

  • In developing countries, what impact will economic growth and development have on the number of people diagnosed with severe disease?
  • Of all AHF hospitalization events, how many in each country across the major mature pharmaceutical markets are drug-treated?
  • Of all people diagnosed with CHF, how many in each country across the major mature pharmaceutical markets are drug-treated?
  • How will demographic trends, such as population aging and improving life expectancy, affect the epidemiology of HF over the forecast period?

In addition to the total number of cases for each forecast year, DRG Epidemiology also provides at least ten years of forecast data for the following HF subpopulations:

  • Diagnosed prevalent cases of CHF by NYHA functional class.
  • Diagnosed prevalent cases of CHF by treatment status.
  • Diagnosed events of AHF by treatment status.

Note: Coverage may vary by country.

Table of contents

  • Epidemiology Dashboard
    • Introduction
      • Heart Failure Epidemiology Dashboard

Author(s): Sunali D. Goonesekera, SM

Sunali Goonesekera is an Associate Epidemiologist at Decision Resources Group. Sunali holds a Master’s degree in Epidemiology from the Harvard School of Public Health and a in Biology (Honors) from Dartmouth College. Prior to joining Decision Resources Group, Sunali conducted epidemiological research and lead authored two manuscripts on racial/ethnic disparities in metabolic diseases at the New England Research Institutes. She has contributed to multiple publications in peer-reviewed journals in epidemiology and in the biological sciences.


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