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Acute Ischemic Stroke: Epidemiology Forecast to 2027

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    Report

  • 50 Pages
  • July 2018
  • Region: Global
  • GlobalData
  • ID: 4620673
Acute Ischemic Stroke: Epidemiology Forecast to 2027

Summary

Acute Ischemic Stroke (AIS) occurs due to an obstructed blood vessel that supplies blood to the brain, and is the predominant type of stroke, accounting for approximately 65-90% of stroke cases across the US, Europe, and Asia. The major risk factors associated with the development of Acute Ischemic Stroke (AIS) include both modifiable and non-modifiable conditions, such as hypertension, smoking, diabetes mellitus, obesity, age, and family history of stroke.

Epidemiologists forecast that the first-ever diagnosed incident cases of Acute Ischemic Stroke (AIS) in the 8MM will grow by an annual growth rate (AGR) of 4.43%, from 2,570,175 cases in 2017 to 3,708,465 cases in 2027. In the 8MM in 2017, urban China had the highest number of first-ever diagnosed incident cases with 1,735,727, while the UK had the lowest number of first-ever diagnosed incident cases with 50,803.

Additionally, epidemiologists forecast that the diagnosed prevalent cases of Acute Ischemic Stroke (AIS) in the 8MM will grow by an AGR of 2.76%, from 17,968,771 cases in 2017 to 22,931,332 cases in 2027. In the 8MM in 2017, the US had the highest number of diagnosed prevalent cases with 6,760,839, while Spain had the lowest number of diagnosed prevalent cases with 346,779.

The report "Acute Ischemic Stroke: Epidemiology Forecast to 2027", provides an overview of the risk factors, comorbidities, and global and historical trends for AIS in the eight major markets (8MM) (US, France, Germany, Italy, Spain, UK, Japan, and urban China). It includes a 10-year epidemiological forecast for first-ever diagnosed incident cases of AIS, diagnosed prevalent cases of AIS, and mortality of AIS. First-ever diagnosed incident cases are further segmented by age (18 to 85 years and older), sex, recurrence, and Trial of Org 10172 in Acute Stroke Treatment (TOAST) subtype (large-artery atherosclerosis, cardioembolism, small-artery occlusion, other determined cause, undetermined cause [cryptogenic]), while diagnosed prevalent cases are further segmented by age (18 to 85 years and older) and sex.

Scope
  • The Acute Ischemic Stroke (AIS) Epidemiology Forecast Report provides an overview of the risk factors and global trends of AIS in the eight major markets (8MM: US, France, Germany, Italy, Spain, UK, Japan, and urban China).

  • This report also includes a 10-year epidemiological forecast for first-ever diagnosed incident cases of AIS, diagnosed prevalent cases of AIS, and mortality of AIS. First-ever diagnosed incident cases are further segmented by age (18 to 85 years and older), sex, recurrence, and Trial of Org 10172 in Acute Stroke Treatment (TOAST) subtype (large-artery atherosclerosis, cardioembolism, small-artery occlusion, other determined cause, undetermined cause [cryptogenic]), while diagnosed prevalent cases are further segmented by age (18 to 85 years and older) and sex.

  • The Acute Ischemic Stroke epidemiology forecast report is written and developed by Masters- and PhD-level epidemiologists.

  • The Epidemiology Forecast Report is in-depth, high quality, transparent, and market-driven, providing expert analysis of disease trends in the 8MM.


Reasons to buy

The Acute Ischemic Stroke (AIS) Epidemiology Forecast report will allow you to -
  • Develop business strategies by understanding the trends shaping and driving the global AIS market.

  • Quantify patient populations in the global AIS market to improve product design, pricing, and launch plans.

  • Organize sales and marketing efforts by identifying the age groups and sex that present the best opportunities for AIS therapeutics in each of the markets covered.

  • Understand magnitude of AIS population by recurrence, subtype, and mortality.

Table of Contents

1 Table of Contents

2 Acute Ischemic Stroke: Executive Summary
2.1 Related Reports
2.2 Upcoming Reports

3 Epidemiology
3.1 Disease Background
3.2 Risk Factors and Comorbidities
3.3 Global and Historical Trends
3.4 Forecast Methodology
3.4.1 Sources
3.4.2 Forecast Assumptions and Methods
3.5 Epidemiological Forecast for AIS (2017-2027)
3.5.1 First-Ever Diagnosed Incident Cases of AIS
3.5.2 Age-Specific First-Ever Diagnosed Incident Cases of AIS
3.5.3 Sex-Specific First-Ever Diagnosed Incident Cases of AIS
3.5.4 Recurrent Diagnosed Incident Cases of AIS
3.5.5 First-Ever Diagnosed Incident Cases of AIS by TOAST Subtype
3.5.6 Diagnosed Prevalent Cases of AIS
3.5.7 Age-Specific Diagnosed Prevalent Cases of AIS
3.5.8 Sex-Specific Diagnosed Prevalent Cases of AIS
3.5.9 AIS Mortality
3.6 Discussion
3.6.1 Epidemiological Forecast Insight
3.6.2 Limitations of Analysis
3.6.3 Strengths of Analysis

4 Appendix
4.1 Bibliography
4.2 About the Authors
4.2.1 Epidemiologist
4.2.2 Reviewers
4.2.3 Global Director of Therapy Analysis and Epidemiology
4.2.4 Global Head and EVP of Healthcare Operations and Strategy
4.3 About the Publisher
4.4 Contact Us
4.5 Disclaimer

List of Tables
Table 1: Risk Factors and Comorbidities for AIS

List of Figures
Figure 1: 8MM, Diagnosed Incident Cases of First-Ever AIS, Men and Women, Ages ≥18 Years, 2017 and 2027
Figure 2: 8MM, Diagnosed Prevalent Cases of AIS, Men and Women, Ages ≥18 Years, 2017 and 2027
Figure 3: 8MM, Age-Standardized First-Ever Diagnosed Incidence of AIS, Men, Ages ≥18 Years, 2007-2027
Figure 4: 8MM, Age-Standardized First-Ever Diagnosed Incidence of AIS, Women, Ages ≥18 Years, 2007-2027
Figure 5: 8MM, Age-Standardized Diagnosed Prevalence of AIS, Men, Ages ≥18 Years, 2007-2027
Figure 6: 8MM, Age-Standardized Diagnosed Prevalence of AIS, Women, Ages ≥18 Years, 2007-2027
Figure 7: Sources Used and Not Used for First-Ever Diagnosed Incident Cases of AIS
Figure 8: Sources Used and Not Used for Recurrent Diagnosed Incident Cases of AIS
Figure 9: Sources Used and Not Used for First-Ever Diagnosed Incident Cases of AIS by TOAST Subtype
Figure 10: Sources Used and Not Used for Diagnosed Prevalent Cases of AIS
Figure 11: Sources Used and Not Used for AIS Mortality
Figure 12: 8MM, First-Ever Diagnosed Incident Cases of AIS, Men and Women, Ages ≥18 Years, 2017
Figure 13: 8MM, Age-Specific First-Ever Diagnosed Incident Cases of AIS, Men and Women, 2017
Figure 14: 8MM, Sex-Specific First-Ever Diagnosed Incident Cases of AIS, Ages ≥18 Years, 2017
Figure 15: 8MM, Recurrent Diagnosed Incident Cases of AIS, Ages ≥18 Years, Men and Women, 2017
Figure 16: 8MM, First-Ever Diagnosed Incident Cases of AIS by TOAST Subtype, Ages ≥18 Years, Men and Women, 2017
Figure 17: 8MM, Diagnosed Prevalent Cases of AIS, Men and Women, Ages ≥18 Years, 2017
Figure 18: 8MM, Age-Specific Diagnosed Prevalent Cases of AIS, Men and Women, 2017
Figure 19: 8MM, Sex-Specific Diagnosed Prevalent Cases of AIS, Ages ≥18 Years, 2017
Figure 20: 8MM, AIS Mortality, Ages ≥18 Years, Men and Women, 2017