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EpiCast Report: Hemophilia - Epidemiology Forecast to 2026

  • Published Date: 01 Jul 2017
  • Number of Pages: 39
  • Category: Healthcare and Medical
  • Country: Global
EpiCast Report: Hemophilia - Epidemiology Forecast to 2026

Summary

Hemophilia is an X-linked hereditary bleeding disorder characterized by impaired blood coagulation as a result of deficiencies in the production or function of coagulation factor VIII (FVIII) in hemophilia A, or factor IX (FIX) in hemophilia B. Because of the deficiency of coagulation factor, hemophilia patients have a tendency for bleeding in joints, muscles, soft tissues, and within mucous membranes, which can be either spontaneous or due to internal or external trauma, depending on the severity of the disease.

In the 7MM, GlobalData epidemiologists forecast an increase in the diagnosed prevalent cases of hemophilia A and hemophilia B, from 51,627 diagnosed prevalent cases in 2016 to 52,566 diagnosed prevalent cases in 2026, with an Annual Growth Rate (AGR) of 0.18% during the forecast period. The US will have the highest number of diagnosed prevalent cases of hemophilia A and hemophilia B among the 7MM throughout the forecast period, while Spain will have the lowest.

GlobalDatas epidemiologists forecast the epidemiological trend for hemophilia using the World Federation of Hemophilia (WFH) Annual Global Survey Report, which is considered the gold standard for hemophilia data. The World Health Organization (WHO) authenticates the WFH data for hemophilia and other bleeding disorders, and provides the most accurate data possible for hemophilia globally. The WFH Global Survey Report uses uniform data collection methods for each national member organization, allowing for a meaningful comparison of the diagnosed prevalent cases across the markets. A major strength of this analysis lays in the use of country-specific data and a uniform methodology across the markets to forecast the prevalent cases of hemophilia.

Scope

- The Hemophilia EpiCast Report provides an overview of the risk factors and global trends of hemophilia in the 7MM (US, France, Germany, Italy, Spain, UK, and Japan). It includes a 10-year epidemiology forecast of diagnosed prevalent cases of hemophilia segmented by type (hemophilia A and hemophilia B), sex, and age (for all ages) in these seven markets.
- The hemophilia epidemiology report is written and developed by Masters- and PhD-level epidemiologists.
- The EpiCast Report is in-depth, high quality, transparent and market-driven, providing expert analysis of disease trends in the 7MM.

Reasons to buy

The Hemophilia EpiCast report will allow you to -
- Develop business strategies by understanding the trends shaping and driving the global hemophilia market.
- Quantify patient populations in the global hemophilia 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 hemophilia therapeutics in each of the markets covered.
- Identify the percentage of hemophilia prevalent cases by type.
Publisher Name : GlobalData

2 Hemophilia: Executive Summary 5
2.1 Related Reports 6
2.2 Upcoming Reports 6
3 Epidemiology 7
3.1 Disease Background 7
3.2 Risk Factors and Comorbidities 8
3.3 Global and Historical Trends 8
3.4 Forecast Methodology 10
3.4.1 Sources 10
3.4.2 Forecast Assumptions and Methods 13
3.4.3 Diagnosed Prevalent Cases 14
3.4.4 Diagnosed Prevalent Cases of Hemophilia A and Hemophilia B by Severity 15
3.4.5 Diagnosed Prevalent Cases of Hemophilia A and Hemophilia B by Inhibitors 18
3.5 Epidemiological Forecast for Hemophilia A (2016-2026) 19
3.5.1 Diagnosed Prevalent Cases of Hemophilia A 19
3.5.2 Age-Specific Diagnosed Prevalent Cases of Hemophilia A 19
3.5.3 Sex-Specific Diagnosed Prevalent Cases of Hemophilia A 20
3.5.4 Diagnosed Prevalent Cases of Hemophilia A by Severity 21
3.5.5 Diagnosed Prevalent Cases of Hemophilia A with Inhibitors 22
3.6 Epidemiological Forecast for Hemophilia B (2016-2026) 23
3.6.1 Diagnosed Prevalent Cases of Hemophilia B 23
3.6.2 Age-Specific Diagnosed Prevalent Cases of Hemophilia B 23
3.6.3 Sex -Specific Diagnosed Prevalent Cases of Hemophilia B 24
3.6.4 Diagnosed Prevalent Cases of Hemophilia B by Severity 25
3.6.5 Diagnosed Prevalent Cases of Hemophilia B with Inhibitors 27
3.7 Epidemiological Forecast for Hemophilia A and Hemophilia B (2016-2026) 27
3.7.1 Diagnosed Prevalent Cases of Hemophilia A and Hemophilia B 27
3.7.2 Age-Specific Diagnosed Prevalent Cases of Hemophilia A and Hemophilia B 28
3.7.3 Sex -Specific Diagnosed Prevalent Cases of Hemophilia A and Hemophilia B 29
3.7.4 Diagnosed Prevalent Cases of Hemophilia A and Hemophilia B by Severity 30
3.7.5 Diagnosed Prevalent Cases of Hemophilia A and Hemophilia B with Inhibitors 31
3.8 Discussion 32
3.8.1 Epidemiological Forecast Insight 32
3.8.2 Limitations of the Analysis 33
3.8.3 Strengths of the Analysis 33
4 Appendix 35
4.1 Bibliography 35
4.2 About the Authors 37
4.2.1 Epidemiologist 37
4.2.2 Reviewers 37
4.2.3 Global Director of Therapy Analysis and Epidemiology 38
4.2.4 Global Head and EVP of Healthcare Operations and Strategy 38
4.3 About GlobalData 39
4.4 Contact Us 39
4.5 Disclaimer 39

List Of Tables


Table 1: Relationship of Bleeding Severity with Clotting Factor Level. 7
Table 2: Comorbidities for Hemophilia 8
Table 3: 7MM, Diagnosed Prevalent Cases of Hemophilia A, Both Sexes, All Ages, N, Selected Years 2016-2026. 19
Table 4: 7MM, Diagnosed Prevalent Cases of Hemophilia B, Both Sexes, All Ages, N, Selected Years 2016-2026. 23
Table 5: 7MM, Diagnosed Prevalent Cases of Hemophilia A and Hemophilia B, Both Sexes, All Ages, N, Selected Years 2016-2026. 28

List Of Figures


Figure 1: 7MM, Diagnosed Prevalent Cases of Hemophilia A and Hemophilia B, Both Sexes, All Ages, 2016 and 2026 6
Figure 2: 7MM, Age-Standardized Diagnosed Prevalence of Hemophilia A (Cases per 100,000 Population), All Ages, 2016 9
Figure 3: 7MM, Age-Standardized Diagnosed Prevalence of Hemophilia B (Cases per 100,000 Population), All Ages, 2016 10
Figure 4: 7MM, Sources Used, Diagnosed Prevalent Cases of Hemophilia A and Hemophilia B 11
Figure 5: 7MM, Sources Used, Diagnosed Prevalent Cases of Hemophilia A and Hemophilia B by Severity 12
Figure 6: 7MM, Sources Used, Diagnosed Prevalent Cases of Hemophilia A and Hemophilia B with Inhibitors 13
Figure 7: 7MM, Age-Specific Diagnosed Prevalent Cases of Hemophilia A, Both Sexes, All Ages, N, 2016 20
Figure 8: 7MM, Sex-Specific Diagnosed Prevalent Cases of Hemophilia A, Both Sexes, All Ages, N, 2016 21
Figure 9: 7MM, Diagnosed Prevalent Cases of Hemophilia A by Severity, Both Sexes, All Ages, N, 2016 22
Figure 10: 7MM, Diagnosed Prevalent Cases of Hemophilia A with Inhibitors, Both Sexes, All Ages, N, 2016 22
Figure 11: 7MM, Age-Specific Diagnosed Prevalent Cases of Hemophilia B, Both Sexes, All Ages, 2016 24
Figure 12: 7MM, Sex-Specific Diagnosed Prevalent Cases of Hemophilia B, Both Sexes, All Ages, N, 2016 25
Figure 13: 7MM, Diagnosed Prevalent Cases of Hemophilia B by Severity, Both Sexes, All Ages, N, 2016 26
Figure 14: 7MM, Diagnosed Prevalent Cases of Hemophilia B with Inhibitors, Both Sexes, All Ages, N, 2016 27
Figure 15: 7MM, Age-Specific Diagnosed Prevalent Cases of Hemophilia A and Hemophilia B, Both Sexes, All Ages, N, 2016 29
Figure 16: 7MM, Sex-Specific Diagnosed Prevalent Cases of Hemophilia A and Hemophilia B, All Ages, N, 2016 30
Figure 17: 7MM, Diagnosed Prevalent Cases of Hemophilia A and Hemophilia B by Severity, Both Sexes, All Ages, N, 2016 31
Figure 18: 7MM, Diagnosed Prevalent Cases of Hemophilia A and Hemophilia B with Inhibitors, Both Sexes, All Ages, N, 2016 32

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