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Dyslipidemia Epidemiology Analysis and Forecast to 2032

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    Report

  • 57 Pages
  • May 2023
  • Region: Global
  • GlobalData
  • ID: 5832896
Dyslipidemia is a medical condition characterized by the imbalance of lipids such as cholesterol, low-density lipoprotein cholesterol (LDL-C), triglycerides (TGs), and high-density lipoprotein (HDL) in the blood. Dyslipidemia is a major risk factor for the development of cardiovascular disease, including heart attack and stroke. Lipids, such as cholesterol or TGs, are absorbed from the intestines and are carried throughout the body via lipoproteins for energy, steroid production, or bile acid formation. Major contributors to these pathways are cholesterol, LDL-C, TGs, and HDL. An imbalance of any of these factors, either from organic or nonorganic causes, can lead to dyslipidemia (Rader, Hoeg and Bryan, 1994).

Dyslipidemia is classified into primary and secondary types (Pappan and Rehman, 2023). Dyslipidemia can be diagnosed by simple blood tests, such as a complete lipid profile, which is determined by the level of total cholesterol, TGs, LDL-C, and HDL cholesterol (HDL-C). Lipid measurement should be accompanied by an assessment for other cardiovascular risk factors, including smoking, diabetes mellitus, family history of coronary artery disease (CAD), and hypertension. Secondary dyslipidemia can often be managed through lifestyle changes, such as following a healthy diet, getting regular exercise, and maintaining a balanced body weight. In some cases, medication may be necessary to treat abnormal lipid levels.

In the 7MM, total prevalent cases of dyslipidemia are expected to increase from 287,608,383 cases in 2022 to 303,637,982 cases in 2032, at an annual growth rate (AGR) of 0.56%. In 2032, the US will have the highest number of total prevalent cases of dyslipidemia in the 7MM with 143,549,647 cases, whereas Italy will have the fewest total prevalent cases of dyslipidemia with 21,338,869 cases.

Scope

  • This report provides an overview of the risk factors, comorbidities, and the global and historical trends for dyslipidemia in the seven major markets (7MM: US, France, Germany, Italy, Spain, UK, and Japan). It includes a 10-year epidemiological forecast for the total and diagnosed prevalent cases of dyslipidemia segmented by age (20-29 years, 30-39 years, 40-49 years, 50-59 years, 60-69 years, 70-79 years, and 80 years and older) and sex in these markets. Additionally, the report provides the total prevalent cases of increased LDL-C, high TGs, very high TGs, and low HDL-C segmented by age (20-29 years, 30-39 years, 40-49 years, 50-59 years, 60-69 years, 70-79 years, and 80 years and older) and sex in these markets. The report also provides a 10-year epidemiological forecast of the total prevalent cases of familial hypercholesterolemia (FH) in these markets.
Reasons to Buy

The Dyslipidemia epidemiology series will allow you to:

  • Develop business strategies by understanding the trends shaping and driving the global UC market.
  • Quantify patient populations in the global Dyslipidemia market to improve product design, pricing, and launch plans.
  • Organize sales and marketing efforts by identifying the age groups that present the best opportunities for Dyslipidemia therapeutics in each of the markets covered.

Table of Contents

1 Dyslipidemia: 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 Forecast assumptions and methods: total prevalent cases of dyslipidemia
2.4.4 Forecast assumptions and methods: diagnosed prevalent cases of dyslipidemia
2.4.5 Forecast assumptions and methods: total prevalent cases of familial hypercholesterolemia
2.4.6 Forecast assumptions and methods: total prevalent cases of increased low-density lipoprotein cholesterol
2.4.7 Forecast assumptions and methods: total prevalent cases of high triglycerides
2.4.8 Forecast assumptions and methods: total prevalent cases of very high triglycerides
2.4.9 Forecast assumptions and methods: total prevalent cases of low high-density lipoprotein cholesterol
2.4.10 Forecast assumptions and methods: total prevalent cases of mixed dyslipidemia
2.5 Epidemiological forecast for dyslipidemia (2022-32)
2.5.1 Total prevalent cases of dyslipidemia
2.5.2 Age-specific total prevalent cases of dyslipidemia
2.5.3 Sex-specific total prevalent cases of dyslipidemia
2.5.4 Diagnosed prevalent cases of dyslipidemia
2.5.5 Age-specific diagnosed prevalent cases of dyslipidemia
2.5.6 Sex-specific diagnosed prevalent cases of dyslipidemia
2.5.7 Total prevalent cases of familial hypercholesterolemia
2.5.8 Total prevalent cases of increased low-density lipoprotein cholesterol
2.5.9 Age-specific total prevalent cases of increased low-density lipoprotein cholesterol
2.5.10 Sex-specific total prevalent cases of increased low-density lipoprotein cholesterol
2.5.11 Total prevalent cases of high triglycerides
2.5.12 Age-specific total prevalent cases of high triglycerides
2.5.13 Sex-specific total prevalent cases of high triglycerides
2.5.14 Total prevalent cases of very high triglycerides
2.5.15 Age-specific total prevalent cases of very high triglycerides
2.5.16 Sex-specific total prevalent cases of very high triglycerides
2.5.17 Total prevalent cases of low high-density lipoprotein
2.5.18 Age-specific total prevalent cases of low high-density lipoprotein cholesterol
2.5.19 Sex-specific total prevalent cases of low high-density lipoprotein cholesterol
2.5.20 Total prevalent cases of mixed dyslipidemia
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
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 dyslipidemia
Table 4: Total prevalent cases of increased LDL-C, both sexes, N, ages =20 years, 2022-2032
Table 5: Total prevalent cases of high TGs, both sexes, N, ages =20 years, 2022-2032
Table 6: Total prevalent cases of very high TGs, both sexes, N, ages =20 years, 2022-2032
Table 7: Total prevalent cases of low HDL-C, both sexes, N, ages =20 years, 2022-2032
List of Figures
List of Figures
Figure 1: 7MM, total prevalent cases of dyslipidemia, both sexes, N, ages =20 years, 2022 and 2032
Figure 2: 7MM, diagnosed prevalent cases of dyslipidemia, both sexes, N, ages =20 years, 2022 and 2032
Figure 3: 7MM, total prevalence of dyslipidemia, men and women, %, ages =20 years, 2022
Figure 4: 7MM, diagnosed prevalence of dyslipidemia, men and women, %, ages =20 years, 2022
Figure 5: 7MM, sources used to forecast the diagnosed prevalent cases of dyslipidemia
Figure 6: 7MM, sources used and not used to forecast the total prevalent cases of high LDL-C
Figure 7: 7MM, sources used and not used to forecast the total prevalent cases of high TGs and very high TGs
Figure 8: 7MM, sources used and not used to forecast the total prevalent cases of low HDL-C
Figure 9: 7MM, sources used and not used to forecast the total prevalent cases of FH
Figure 10: 7MM, sources used to forecast the total prevalent cases of mixed dyslipidemia
Figure 11: 7MM, total prevalent cases of dyslipidemia, N, both sexes, ages =20 years, 2022
Figure 12: 7MM, total prevalent cases of dyslipidemia by age, N, both sexes, 2022
Figure 13: 7MM, total prevalent cases of dyslipidemia by sex, N, ages =20 years, 2022
Figure 14: 7MM, diagnosed prevalent cases of dyslipidemia, N, both sexes, ages =20 years, 2022
Figure 15: 7MM, diagnosed prevalent cases of dyslipidemia by age, N, both sexes, 2022
Figure 16: 7MM, diagnosed prevalent cases of dyslipidemia by sex, N, ages =20 years, 2022
Figure 17: 7MM, total prevalent cases of FH, N, both sexes, ages =20 years, 2022
Figure 18: 7MM, total prevalent cases of increased LDL-C by age, N, both sexes, 2022
Figure 19: 7MM, total prevalent cases of increased LDL-C by sex, N, ages =20 years, 2022
Figure 20: 7MM, total prevalent cases of high TGs by age, N, both sexes, 2022
Figure 21: 7MM, total prevalent cases of high TGs by sex, N, ages =20 years, 2022
Figure 22: 7MM, total prevalent cases of very high TGs by age, N, both sexes, 2022
Figure 23: 7MM, total prevalent cases of very high TGs by sex, N, ages =20 years, 2022
Figure 24: 7MM, total prevalent cases of low HDL-C by age, N, both sexes, 2022
Figure 25: 7MM, total prevalent cases of low HDL-C by sex, N, ages =20 years, 2022
Figure 26: 7MM, total prevalent cases of mixed dyslipidemia, N, both sexes, ages =20 years, 2022