EpiCast Report: Atrial Fibrillation – Epidemiology Forecast to 2023

47 pages report Published in
Pharmaceuticals
Publisher: GlobalData

Atrial fibrillation (AF) is a disorder of the heart’s electrical system. AF is one of the most common cardiovascular diseases among the elderly, worldwide. According to the Global Burden of Disease study, AF affected approximately 33.5 million people, or 0.5% of the world’s population, in 2010, of which 20.9 million were men and 12.6 million were women. The disease burden is likely to increase in the near future due to the projected increase in the population, especially the elderly population.

GlobalData epidemiologists forecast that the diagnosed prevalent cases of AF in the 8MM will grow by 21.8% over the next decade, from 10,112,797 diagnosed prevalent cases in 2013 to 12,316,458 diagnosed prevalent cases in 2023. GlobalData epidemiologists attribute the growth in the diagnosed prevalent cases of AF in the 8MM to the changing population demographics in the respective markets, rather than an actual increase in the diagnosed prevalence of AF in these markets.

GlobalData’s epidemiological forecast for the diagnosed prevalent cases of AF in the 8MM is supported by epidemiologic data from country-specific studies that are nationally representative of the entire population in these markets. GlobalData’s epidemiological analysis included the most recently published nationally-representative studies in the 8MM, which provided the diagnosed prevalence of AF using uniform diagnostic criteria based on EKG tests. Furthermore, the diagnosed prevalent cases of AF in each of the 8MM were further segmented by age and sex to provide a more detailed analysis of the patient population. The distribution of cases segmented by age and sex is important for understanding the burden of AF in various subgroups of the populations in each market, and for achieving better management of the condition.

Scope

  • The Atrial fibrillation (AF) EpiCast Report provides an overview of the risk factors, comorbidities, and global trends of AF in the 8MM (US, France, Germany, Italy, Spain, UK, Japan and Canada). It includes a 10-year epidemiological forecast for the diagnosed prevalent cases of AF segmented by age (ages =40 years), sex, and clinical subtypes (paroxysmal, persistent, and permanent AF) in these markets.
  • The AF epidemiology report is written and developed by Mastersand PhD-level epidemiologists.
  • The EpiCast Report is in-depth, high quality, transparent and market-driven, providing expert analysis of disease trends in the 8MM.

Reasons to buy

  • Develop business strategies by understanding the trends shaping and driving the global AF market.
  • Quantify patient populations in the global AF market to improve product design, pricing, and launch plans.
  • Organize sales and marketing efforts by identifying the sex and age groups that present the best opportunities for AF therapeutics in each of the markets covered.

Table of Contents

1 Table of Contents 4
1.1 List of Tables 5
1.2 List of Figures 6

2 Introduction 7
2.1 Catalyst 7
2.2 Upcoming Reports 7

3 Epidemiology 8
3.1 Disease Background 8
3.2 Risk Factors and Comorbidities 9
3.3 Global Trends 11
3.4 Forecast Methodology 13
3.4.1 Sources Used 15
3.4.2 Forecast Assumptions and Methods 21
3.4.3 Sources Not Used 25
3.5 Epidemiological Forecast for Atrial Fibrillation (2013-2023) 26
3.5.1 Diagnosed Prevalent Cases of Atrial Fibrillation 26
3.5.2 Age-Specific Diagnosed Prevalent Cases of Atrial Fibrillation 28
3.5.3 Sex-Specific Diagnosed Prevalent Cases of Atrial Fibrillation 29
3.5.4 Age-Standardized Diagnosed Prevalence of Atrial Fibrillation 31
3.5.5 Diagnosed Prevalent Cases of Atrial Fibrillation by Clinical Subtypes 32
3.6 Discussion 34
3.6.1 Epidemiological Forecast Insight 34
3.6.2 Limitations of the Analysis 35
3.6.3 Strengths of the Analysis 37

4 Appendix 38
4.1 Bibliography 38
4.2 About the Authors 42
4.2.1 Epidemiologists 42
4.2.2 Reviewers 42
4.2.3 Global Director of Epidemiology and Health Policy 43
4.2.4 Global Head of Healthcare 44
4.3 About GlobalData 45
4.4 About EpiCast 45
4.5 Disclaimer 46

List of Tables

Table 1: Clinical Subtypes of AF 8
Table 2: Risk Factors and Comorbidities for AF 10
Table 3: Diagnosed Prevalence (%) of AF in the 6MM*, as Reported in Epidemiological Studies 11
Table 4: Total Prevalence (%) of AF in the 7MM*, as Reported in Epidemiological Studies 12
Table 5: 8MM, Sources of Prevalence Data Used to Forecast the Diagnosed Prevalent Cases of AF 14
Table 6: 8MM, Sources of AF Subtype Data Used to Forecast the Diagnosed Prevalent Cases of AF by Subtypes 15
Table 7: 8MM, Diagnosed Prevalent Cases of AF, Ages ?40 Years, Both Sexes, N, 2013-2023 27
Table 8: 8MM, Diagnosed Prevalent Cases of AF, by Age, Both Sexes, N (Row %), 2013 28
Table 9: 8MM, Diagnosed Prevalent Cases of AF, by Sex, Ages ?40 Years, N (Row %), 2013 30
Table 10: 8MM, Diagnosed Prevalent Cases of AF, by Clinical Subtypes, Both Sexes, N (Row %), 2013 33

List of Figures

Figure 1: 8MM, Diagnosed Prevalent Cases of AF, Ages ?40 Years, Both Sexes, N, 2013-2023 27
Figure 2: 8MM, Diagnosed Prevalent Cases of AF, by Age, Both Sexes, N, 2013 29
Figure 3: 8MM, Diagnosed Prevalent Cases of AF, by Sex, Ages ?40 Years, N, 2013 31
Figure 4: 8MM, Age-Standardized Diagnosed Prevalence (%) of AF, by Sex, Ages ?40 Years, 2013 32
Figure 5: 8MM, Diagnosed Prevalent Cases of AF, by Clinical Subtypes, Both Sexes, N, 2013 34

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