Venous Thromboembolism (VTE) Epidemiology Analysis and Forecast to 2032

Venous thromboembolism (VTE), comprised of deep vein thrombosis (DVT) and pulmonary embolism (PE), is a potentially fatal condition that impedes blood flow by causing blood clots (thrombosis). VTE can occur in men and women of all ages, with children at very low risk, and adults ages 40 and over at higher risk; this risk level increases with age (Henke et al., 2020). VTE events are highly dangerous and are associated with high rates of mortality and morbidity.

GlobalData epidemiologists forecast an increase in the diagnosed incident cases of VTE in the 7MM, from 1,469,547 cases in 2022 to 1,690,608 in 2032, at an annual growth rate (AGR) of 1.50%. The number of VTE attacks is forecast to grow from 1,602,747 in 2022, to 1,848,622 in 2032 in the 7MM, at an AGR of 1.53%. GlobalData epidemiologists also forecast the number of medically ill patients at risk for VTE to increase in the 7MM from 38,508,614 in 2022 to 41,825,735 in 2032. In addition, GlobalData epidemiologists forecast the number of total knee replacements will grow from 1,604,653 in 2022, to 1,834,770 in 2032 and the number of hip replacements will increase from 1,107,902 in 2022, to 1,240,077 in 2032, at an AGR of 1.43% and 1.19%, respectively. GlobalData epidemiologists have identified the predominant drivers of this market to be changes in country-specific incidence and procedure rates, as well as in the underlying demographic trends.

Scope

This report provides an overview of the risk factors, comorbidities, and the global and historical trends for VTE in the seven major markets (7MM: US, France, Germany, Italy, Spain, UK, and Japan). It includes a 10-year epidemiological forecast for the diagnosed incident cases of PE, DVT, and VTE, as well as the number of VTE attacks, the number of medically ill discharges that are at risk for VTE, the number of primary total knee replacements and revisions, and the number of hip replacements, each of which are segmented by sex and age. Additionally, it includes a forecast for the number of recurrent VTE cases at one and 10 years after the incident event, a breakdown of proximal and distal DVT, unprovoked and provoked VTE, and the number of diagnosed VTE cases with cancer and chronic kidney disease (CKD) as comorbidity. Although not covered in this report, the attack number and rate for PE and DVT can be found in the model, in addition to the medically ill population at risk for VTE receiving any form of prophylaxis.

Reasons to Buy

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Product Code: GDHCER309-23

1 Venous Thromboembolism (VTE): Executive Summary

1.1 Catalyst
1.2 Related reports
1.3 Upcoming reports

2 Epidemiology

2.1 Disease background
2.2 Risk factors and comorbidities
2.3 Global and historical trends
2.4 7MM forecast methodology
- 2.4.1 Sources
- 2.4.2 Forecast assumptions and methods
- 2.4.3 Diagnosed incident cases of PE, DVT, and VTE
- 2.4.4 Diagnosed incident cases of DVT by anatomical region
- 2.4.5 Diagnosed incident cases of VTE by provoking risk factor
- 2.4.6 Diagnosed incident cases of VTE with cancer as a comorbidity
- 2.4.7 Diagnosed incident cases of VTE with chronic kidney disease (CKD) as a comorbidity
- 2.4.8 Diagnosed VTE attacks
- 2.4.9 Number of one- and 10-year first time recurrent cases of VTE
- 2.4.10 Number of hospital discharges meeting medically ill criteria
- 2.4.11 Number of hospital discharges meeting medically ill criteria at risk for VTE
- 2.4.12 Number of total hip and knee replacements
2.5 Epidemiological forecast for venous thromboembolism (VTE) (2022-32)
- 2.5.1 Diagnosed incident cases of PE
- 2.5.2 Diagnosed incident cases of DVT
- 2.5.3 Diagnosed incident cases of VTE
- 2.5.4 Age-specific diagnosed incident cases of VTE
- 2.5.5 Sex-specific diagnosed incident cases of VTE
- 2.5.6 Diagnosed incident cases of DVT by anatomical region
- 2.5.7 Number of diagnosed incident cases of VTE by provoking risk factor
- 2.5.8 One- and 10-year first time diagnosed recurrent cases of VTE
- 2.5.9 Diagnosed incident cases of VTE with cancer as a comorbidity
- 2.5.10 Diagnosed incident cases of VTE with CKD as a comorbidity
- 2.5.11 Number of diagnosed VTE attacks
- 2.5.12 Number of hospital discharges meeting medically ill criteria at risk for VTE
- 2.5.13 Total number of knee replacements
- 2.5.14 Total number of hip replacements
2.6 Discussion
- 2.6.1 Epidemiological forecast insight 2.6.2 COVID-19 impact
- 2.6.3 Limitations of the analysis
- 2.6.4 Strengths of the analysis

3 Appendix

3.1 Bibliography
3.2 About the authors
- 3.2.1 Epidemiologist
- 3.2.2 Reviewers
- 3.2.3 Vice President of Disease Analysis and Intelligence
- 3.2.4 Global Head and EVP of Healthcare Operations and Strategy
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Product Code: GDHCER309-23

List of Tables

Table 1: Summary of newly added data types
Table 2: Summary of updated data types
Table 3: Risk factors and comorbidities for VTE

List of Figures

Figure 1: 7MM, diagnosed incident cases of VTE, N, both sexes, all ages, 2022 and 2032
Figure 2: 7MM, number of diagnosed VTE attacks, N, both sexes, all ages, 2022 and 2032
Figure 3: 7MM, diagnosed incidence of PE, DVT, and VTE, cases per 100,000 population, both sexes, all ages, 2022
Figure 4: 7MM, sources used to forecast the diagnosed incident cases of PE, DVT, and VTE
Figure 5: 7MM, sources used to forecast the diagnosed incident cases of DVT by anatomical region
Figure 6: 7MM, sources used to forecast the diagnosed incident cases of VTE by provoking risk factor
Figure 7: 7MM, sources used to forecast the diagnosed incident cases of VTE with cancer as a comorbidity
Figure 8: 7MM, sources used to forecast the diagnosed incident cases of VTE with CKD as a comorbidity
Figure 9: 7MM, sources used to forecast the diagnosed VTE attacks
Figure 10: 7MM, sources used to forecast VTE recurrence after one and 10 years
Figure 11: 7MM, sources used to forecast the number of hospital discharges that meet medically ill criteria and are at risk of VTE
Figure 12: 7MM, sources used and not used to forecast the primary total knee replacements and revisions, and hip replacements.
Figure 13: 7MM, diagnosed incident cases of PE, N, both sexes, all ages, 2022
Figure 14: 7MM, diagnosed incident cases of DVT, N, both sexes, all ages, 2022
Figure 15: 7MM, diagnosed incident cases of VTE, N, both sexes, all ages, 2022
Figure 16: 7MM, diagnosed incident cases of VTE by age, N, both sexes, all ages, 2022
Figure 17: 7MM, diagnosed incident cases of VTE by sex, N, both sexes, all ages, 2022
Figure 18: 7MM, diagnosed incident cases of DVT by anatomical region, N, all ages, 2022
Figure 19: 7MM, diagnosed incident cases of VTE by provoking risk factor, N, both sexes, all ages, 2022
Figure 20: 7MM, first-time recurrent cases of VTE, N, both sexes, all ages, 2022
Figure 21: 7MM, diagnosed incident cases of VTE with cancer as a comorbidity, N, both sexes, all ages, 2022
Figure 22: 7MM, diagnosed incident cases of VTE with CKD as a comorbidity, N, both sexes, 2022 and 2032
Figure 23: 7MM, diagnosed VTE attacks, N, both sexes, all ages, 2022 and 2032
Figure 24: 7MM, number of medically ill hospital discharges at risk for VTE, N, both sexes, ≥40 years, 2022
Figure 25: 7MM, total number of knee replacements, N, both sexes, ≥15 years, 2022 and 2032
Figure 26: 7MM, total number of hip replacements, N, both sexes, ≥15 years, 2022 and 2032

Venous Thromboembolism (VTE) Epidemiology Analysis and Forecast to 2032

Description

Table of Contents

List of Tables

Abstract

Scope

Reasons to Buy

Table of Contents

Table of Contents

1 Venous Thromboembolism (VTE): Executive Summary

2 Epidemiology

3 Appendix

List of Tables

List of Tables

List of Figures

List of Figures