Acute Ischemic Stroke: Epidemiology Forecast to 2027

Acute Ischemic Stroke: Epidemiology Forecast to 2027

Summary

A stroke occurs when blood to the brain is either blocked or interrupted by blood clots or ruptured blood vessels; this deprives the brain of oxygen and nutrients, ultimately leading to the death of brain cells. 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 AIS include both modifiable and non-modifiable conditions, such as hypertension, smoking, diabetes mellitus, obesity, age, and family history of stroke.

GlobalData epidemiologists utilized comprehensive, country-specific data from national stoke registries and peer-reviewed journal articles when available, to arrive at a meaningful, in-depth analysis and forecast of first-ever diagnosed incident cases of AIS, diagnosed prevalent cases of AIS, and mortality of AIS. Moreover, GlobalData epidemiologists provide detailed, clinically relevant segmentations for first-ever diagnosed incident cases of AIS. Finally, uniform methodology was used across the 8MM to ensure meaningful comparisons across markets. Additional segmentations on AIS and transient ischemic attacks can be found in the GlobalData AIS Epidemiology Forecast Model.

GlobalData epidemiologists forecast that the first-ever diagnosed incident cases of 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, GlobalData epidemiologists forecast that the diagnosed prevalent cases of 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.

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.


1.1 List of Tables 3
1.2 List of Figures 3
2 Acute Ischemic Stroke: Executive Summary 4
2.1 Related Reports 6
2.2 Upcoming Reports 7
3 Epidemiology 8
3.1 Disease Background 8
3.2 Risk Factors and Comorbidities 8
3.3 Global and Historical Trends 10
3.4 Forecast Methodology 14
3.4.1 Sources 15
3.4.2 Forecast Assumptions and Methods 19
3.5 Epidemiological Forecast for AIS (2017-2027) 31
3.5.1 First-Ever Diagnosed Incident Cases of AIS 31
3.5.2 Age-Specific First-Ever Diagnosed Incident Cases of AIS 32
3.5.3 Sex-Specific First-Ever Diagnosed Incident Cases of AIS 34
3.5.4 Recurrent Diagnosed Incident Cases of AIS 35
3.5.5 First-Ever Diagnosed Incident Cases of AIS by TOAST Subtype 36
3.5.6 Diagnosed Prevalent Cases of AIS 37
3.5.7 Age-Specific Diagnosed Prevalent Cases of AIS 38
3.5.8 Sex-Specific Diagnosed Prevalent Cases of AIS 39
3.5.9 AIS Mortality 40
3.6 Discussion 41
3.6.1 Epidemiological Forecast Insight 41
3.6.2 Limitations of Analysis 41
3.6.3 Strengths of Analysis 42
4 Appendix 43
4.1 Bibliography 43
4.2 About the Authors 48
4.2.1 Epidemiologist 48
4.2.2 Reviewers 48
4.2.3 Global Director of Therapy Analysis and Epidemiology 49
4.2.4 Global Head and EVP of Healthcare Operations and Strategy 49
4.3 About GlobalData 50
4.4 Contact Us 50
4.5 Disclaimer 50

List Of Tables


Table 1: Risk Factors and Comorbidities for AIS 9

List Of Figures


Figure 1: 8MM, Diagnosed Incident Cases of First-Ever AIS, Men and Women, Ages 18 Years, 2017 and 2027 5
Figure 2: 8MM, Diagnosed Prevalent Cases of AIS, Men and Women, Ages 18 Years, 2017 and 2027 6
Figure 3: 8MM, Age-Standardized First-Ever Diagnosed Incidence of AIS, Men, Ages 18 Years, 2007-2027 11
Figure 4: 8MM, Age-Standardized First-Ever Diagnosed Incidence of AIS, Women, Ages 18 Years, 2007-2027 12
Figure 5: 8MM, Age-Standardized Diagnosed Prevalence of AIS, Men, Ages 18 Years, 2007-2027 13
Figure 6: 8MM, Age-Standardized Diagnosed Prevalence of AIS, Women, Ages 18 Years, 2007-2027 13
Figure 7: Sources Used and Not Used for First-Ever Diagnosed Incident Cases of AIS 15
Figure 8: Sources Used and Not Used for Recurrent Diagnosed Incident Cases of AIS 16
Figure 9: Sources Used and Not Used for First-Ever Diagnosed Incident Cases of AIS by TOAST Subtype 17
Figure 10: Sources Used and Not Used for Diagnosed Prevalent Cases of AIS 18
Figure 11: Sources Used and Not Used for AIS Mortality 19
Figure 12: 8MM, First-Ever Diagnosed Incident Cases of AIS, Men and Women, Ages 18 Years, 2017 32
Figure 13: 8MM, Age-Specific First-Ever Diagnosed Incident Cases of AIS, Men and Women, 2017 33
Figure 14: 8MM, Sex-Specific First-Ever Diagnosed Incident Cases of AIS, Ages 18 Years, 2017 34
Figure 15: 8MM, Recurrent Diagnosed Incident Cases of AIS, Ages 18 Years, Men and Women, 2017 35
Figure 16: 8MM, First-Ever Diagnosed Incident Cases of AIS by TOAST Subtype, Ages 18 Years, Men and Women, 2017 36
Figure 17: 8MM, Diagnosed Prevalent Cases of AIS, Men and Women, Ages 18 Years, 2017 37
Figure 18: 8MM, Age-Specific Diagnosed Prevalent Cases of AIS, Men and Women, 2017 38
Figure 19: 8MM, Sex-Specific Diagnosed Prevalent Cases of AIS, Ages 18 Years, 2017 39
Figure 20: 8MM, AIS Mortality, Ages 18 Years, Men and Women, 2017 40

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