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EpiCast Report: Atrial Fibrillation - Epidemiology Forecast at an Annual Growth Rate (AGR) of 2.16% to 2025

 



(Medical-NewsWire.com, August 19, 2016 ) EpiCast Report : Atrial Fibrillation - Epidemiology Forecast to 2025

Summary

Atrial fibrillation (AF) is a disorder of the hearts conduction system. The condition is characterized by an irregular heart rhythm that is either too fast or too slow. During AF, the two upper chambers of the heart (atria) beat out of coordination with the two lower chambers (ventricles) due to disorganized electrical signals. Consequently, the blood doesnt flow as well as it should from the atria to the ventricles, resulting in poor blood supply to the rest of the body. AF symptoms typically include heart palpitations, chest discomfort, shortness of breath, dizziness, and weakness (CDC, 2015; Mayo Clinic, 2016; NHLBI, 2014). However, individuals with AF may be asymptomatic and not even know that they have the condition until it is identified through an electrocardiogram (ECG) test.

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In the 8MM, GlobalData epidemiologists forecast that the diagnosed prevalent cases of AF will increase from 9,487,217 cases in 2015 to 11,536,773 cases in 2025, at an Annual Growth Rate (AGR) of 2.16%. The US will have the highest number of diagnosed prevalent cases of AF among the 8MM throughout the forecast period, while Canada will have the lowest. In the 8MM, permanent AF is forecast to be the predominant subtype of AF. In the US, Germany, Spain, the UK, Japan, and Canada, paroxysmal AF is forecast to be the second most predominant subtype, while persistent AF is the second most common subtype in France and Italy.

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Table of Contents

1 Table of Contents 4
1.1 List of Tables 5
1.2 List of Figures 5
2 Epidemiology 6
2.1 Risk Factors and Comorbidities 7
2.2 Global Trends 9
2.3 Forecast Methodology 11
2.3.1 Sources Used 11
2.3.2 Forecast Assumptions and Methods 14
2.3.3 Sources Not Used 21
2.4 Epidemiological Forecast for AF (2015-2025) 22
2.4.1 Diagnosed Prevalent Cases 22
2.5 Discussion 30
2.5.1 Epidemiological Forecast Insight 30
2.5.2 Limitations of the Analysis 31
2.5.3 Strengths of the Analysis 32
3 Appendix 33
3.1 Bibliography 33
3.2 About the Authors 37
3.2.1 Epidemiologist 37
3.2.2 Reviewers 37
3.2.3 Global Director of Therapy Analysis and Epidemiology 38

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