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Hemophilia a - Epidemiology Forecast - 2034

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    Report

  • 144 Pages
  • February 2024
  • Region: Global
  • DelveInsight
  • ID: 4968509
UP TO OFF until Dec 31st 2024

Key Highlights

  • DKD is reported to occur in 20-50% of those living with diabetes and is the single most common cause of end-stage kidney disease (ESKD) in many populations.
  • As per the National Kidney Foundation, almost 90% of adults with type 2 diabetes and CKD are not currently diagnosed. As many as 50% of patients with advanced CKD (Stage G4) remain undiagnosed in primary care populations.
  • According to the National Diabetes Statistics report, among the US population overall, crude estimates for 2021 were 38.1 million adults aged 18 years or older - or 14.7% of all US adults - had diabetes.
  • Kidney Research UK’s findings suggest that about 40% of people diagnosed with diabetes eventually develop diabetic nephropathy or diabetes-related kidney disease. Similarly, the British Diabetic Association, operating as Diabetes UK, also corroborated the same estimated prevalence, stating that around 40% of individuals with both type 1 and type 2 diabetes will develop chronic kidney disease (Stages 1-5) throughout their lifetime.
  • As per estimates, in the US, it has been observed that a higher proportion of DKD population was found in Stage 3a (~29%), followed by Stage 2 (~24%), whereas Stage 5 accounted for the least number of DKD cases.
This report delivers an in-depth understanding of DKD, historical and forecasted epidemiology trends in the United States, EU4 (Germany, France, Italy, and Spain) and the United Kingdom, and Japan.

Geography Covered

  • The United States
  • EU4 (Germany, France, Italy, and Spain) and the United Kingdom
  • Japan

Study Period: 2020-2034

Diabetic Kidney Disease Understanding

Diabetic Kidney Disease Overview

Diabetic kidney disease (DKD), also known as diabetic nephropathy (DN), is a clinical syndrome characterized by persistent albuminuria and a progressive decline in renal function, and the term infers the presence of a typical pattern of glomerular disease. DKD is usually associated with arterial hypertension and increased cardiovascular morbidity and mortality. The causes of DKD are complex and most likely related to many factors, but the major factor is hyperglycemia. In the early stages, there may not be any symptoms. However, as kidney function decreases further, toxic wastes build up. Consequently, patients often feel sick to their stomachs and throw up, lose their appetites, have hiccups, and gain weight due to fluid retention. If left untreated, patients can develop heart failure and fluid in their lungs.

Diabetic Kidney Disease Diagnosis

The detection and diagnosis of DKD can be challenging. Screening and renal biopsy are the two primary diagnoses that are conducted to detect DKD in patients. Other diagnoses considered in nonalbuminuric DKD are ischemic nephropathy, dysproteinemia, and tubulointerstitial nephritis (TIN). Guidelines from the American Diabetes Association (ADA) and Kidney Disease Improving Global Outcomes (KDIGO) recommend that all people with T2DM should have their renal function and albuminuria measured annually, starting from initial diagnosis in T1DM; this can start from 5 years after diagnosis.

Diabetic Kidney Disease Epidemiology

The DKD epidemiology chapter in the report provides historical as well as forecasted epidemiology segmented by total prevalent cases of diabetes, total prevalent cases of DKD, total diagnosed prevalent cases of DKD, age-specific cases of DKD, and stage-specific cases of DKD in the 7MM covering the United States, EU4 (Germany, France, Italy, and Spain), the United Kingdom, and Japan from 2020 to 2034.
  • The prevalent cases of diabetes in the 7MM comprised approximately 82,858,700 cases in 2023 and are projected to increase during the forecast period.
  • The total prevalent cases of DKD in the 7MM were approximately 33,152,000 in 2023. These cases are expected to increase by 2034.
  • Among the 7MM, the United States accounted for the highest number of diagnosed prevalent cases of DKD, i.e., over ~45% of the total cases in the 7MM in 2023.
  • Among EU4 and the UK, Germany accounted for the largest number of DKD cases, whereas France accounted for the lowest number of cases in 2023.
The prevalence of DKD progressively increased with age, and this increment was more evident for low eGFR than for albuminuria. The overall high prevalence of DKD in elderly T2DM patients is likely to be the result of two opposite trajectories, i.e. the high frequency of T2DM in this age group, and the decreased mortality rate due to better control of the disease, which may have contributed to increased patients survival, allowing sufficient time to develop chronic diabetes complications

KOL Views

To keep up with current epidemiology trends, we take KOLs and SMEs’ opinions working in the domain through primary research to fill the data gaps and validate our secondary research. Industry experts contacted for insights on DKD's epidem, include Medical/scientific writers, nephrologists, Professors, and others.

The analysts connected with 30+ KOLs to gather insights; however, interviews were conducted with 10+ KOLs in the 7MM. Centers such as the European Kidney Patients Federation, Steno Diabetes Center, Kidney Research Institute, etc., were contacted. Their opinion helps understand and validate DKD epidemiology trends.

Scope of the Report

  • The report covers a segment of key events, an executive summary, descriptive overview of DKD, explaining its causes, signs and symptoms, pathogenesis.
  • Comprehensive insight into the epidemiology segments and forecasts of disease progression has been provided.
  • The report provides an edge while developing business strategies, understanding trends, expert insights/KOL views, and patient journeys in the 7MM.
  • A detailed review of current challenges in establishing the diagnosis.

Diabetic Kidney Disease Report Insights

  • Patient Population
  • Country-wise Epidemiology Distribution

Diabetic Kidney Disease Report Key Strengths

  • Eleven Years Forecast
  • The 7MM Coverage
  • Diabetic Kidney Disease Epidemiology Segmentation

Diabetic Kidney Disease Report Assessment

  • Current Diagnostic Practices
  • Unmet Needs

FAQs

  • What are the disease risks, burdens, and unmet needs of DKD? What will be the growth opportunities across the 7MM concerning the patient population with DKD?
  • What is the historical and forecasted DKD patient pool in the United States, EU4 (Germany, France, Italy, and Spain) the United Kingdom, and Japan?
  • Which stage of DKD is the largest contributor?
  • What is the age-specific rate of DKD?

Reasons to Buy

  • Insights on patient burden/disease, evolution in diagnosis, and factors contributing to the change in the epidemiology of the disease during the forecast years.
  • To understand the diagnosed cases of DKD in varying geographies over the coming years.
  • To understand the perspective of key opinion leaders around the current challenges with establishing the diagnosis and insights on the patient pool.
  • Detailed insights on various factors hampering disease diagnosis and other existing diagnostic challenges.

Table of Contents

1. Key Insights2. Report Introduction
3. Hemophilia a Market Overview at a Glance
3.1. Patient Share Distribution (%) of Hemophilia a in 2020
3.2. Patient Share Distribution (%) of Hemophilia a in 2034
4. Executive Summary of Hemophilia A5. Epidemiology Methodology
6. Hemophilia A: Disease Background and Overview
6.1. Introduction
6.2. Signs and Symptoms
6.3. Inheritance Pattern
6.4. Molecular Pathogenesis
6.5. Pathophysiology
6.6. Risk Factors
6.7. Diagnosis of Hemophilia A
6.7.1. Establishing the Diagnosis
6.6.2. Molecular Genetic Testing
6.6.3. Screening Tests
6.6.4. Clotting Factor Tests
6.6.5. Inhibitor Testing
7. Epidemiology and Patient Population
7.1. Key Findings
7.1.1. Assumptions and Rationale:7MM
7.1.1.1. Total Prevalent Cases of Hemophilia a in the 7MM
7.2. United States Epidemiology
7.2.1. Total Prevalent Cases of Hemophilia a in the United States
7.2.2. Age-Specific Prevalent Cases of Hemophilia a in the United States
7.2.3. Severity-Specific Prevalent Cases of Hemophilia a in the United States
7.2.4. Prevalent Cases of Hemophilia a with Inhibitors and Without Inhibitors in the United States
7.2.5. Treated Patient Pool of Hemophilia a in the United States
7.3. EU4 and the UK Epidemiology
7.3.1. Total Prevalent Cases of Hemophilia a in EU4 and the UK
7.3.2. Age-Specific Prevalent Cases of Hemophilia a in EU4 and the UK
7.3.3. Severity-Specific Prevalent Cases of Hemophilia a in EU4 and the UK
7.3.4. Prevalent Cases of Hemophilia a with or Without Inhibitors in EU4 and the UK
7.3.5. Treated Patient Pool of Hemophilia a in EU4 and the UK
7.4. Japan Epidemiology
7.4.1. Total Prevalent of Hemophilia a in Japan
7.4.2. Age-Specific Prevalent Cases of Hemophilia a in Japan
7.4.3. Severity-Specific Prevalent Cases of Hemophilia a in Japan
7.4.4. Prevalent Cases of Hemophilia a with Inhibitors and Without Inhibitors in Japan
7.4.5. Treated Patient Pool Population of Hemophilia a in Japan
8. Appendix
8.1. Bibliography
8.2. Report Methodology
9. Publisher Capabilities10. Disclaimer11. About the Publisher
List of Tables
Table 1: Summary of Hemophilia A Market and Epidemiology (2020-2034)
Table 2: Approximate Frequency of Bleeding at Different Sites
Table 3: Sites of Bleeding In Hemophilia
Table 4: Levels of Factors in Hemophilia A
Table 5: Summary of sources explored for the epidemiology of Hemophilia A
Table 6: Total Prevalent Cases of Hemophilia A in the 7MM (2020-2034)
Table 7: Total Prevalent Cases of Hemophilia A in the United States (2020-2034)
Table 8: Age-specific Prevalent Cases of Hemophilia A in the United States (2020-2034)
Table 9: Severity-specific Prevalent cases of Hemophilia A in the United States (2020-2034)
Table 10: Prevalent Cases of Hemophilia A With Inhibitors and Without Inhibitors in the United States (2020-2034)
Table 11: Treated Patient Pool of Hemophilia A in the United States (2020-2034)
Table 12: Total Prevalent Cases of Hemophilia A in EU4 and the UK (2020-2034)
Table 13: Age-specific Prevalent Cases of Hemophilia A in EU4 and the UK (2020-2034)
Table 14: Severity-specific Prevalent Cases of Hemophilia A in EU4 and the UK (2020-2034)
Table 15: Prevalent Cases of Hemophilia A with or Non-Inhibitors in EU4 and the UK (2020-2034)
Table 16: Treated Patient Pool of Hemophilia A in EU4 and the UK (2020-2034)
Table 17: Total Prevalent Cases of Hemophilia A in Japan (2020-2034)
Table 18: Age-specific Prevalent Cases of Hemophilia A in Japan (2020-2034)
Table 19: Severity-specific Prevalent Cases of Hemophilia A in Japan (2020-2034)
Table 20: Prevalent Cases of Hemophilia A with Inhibitors and Without Inhibitors in Japan (2020-2034)
Table 21: Treated Patient Pool of Hemophilia A in Japan (2020-2034)
List of Figures
Figure 1: Coagulation Cascade and the Effects of Recombinant Activated Factor Vll (rFVlla)
Figure 2: Established and Proposed Risk Factors for Inhibitor Development
Figure 3: Screening Tests for Hemophilia A
Figure 4: Total Prevalent Cases of Hemophilia A in the 7MM (2020-2034)
Figure 5: Total Prevalent Cases of Hemophilia A in the United States (2020-2034)
Figure 6: Age-specific Prevalent Cases of Hemophilia A in the United States (2020-2034)
Figure 7: Severity-specific Prevalent cases of Hemophilia A in the United States (2020-2034)
Figure 8: Prevalent Cases of Hemophilia A With and Without Inhibitors in the US (2020-2034)
Figure 9: Treated Patient Pool of Hemophilia A in the United States (2020-2034)
Figure 10: Total Prevalent Cases of Hemophilia A in EU4 and the UK (2020-2034)
Figure 11: Age-specific Prevalent Cases of Hemophilia A in EU4 and the UK (2020-2034)
Figure 12: Severity-specific Prevalent Cases of Hemophilia A in EU4 and the UK (2020-2034)
Figure 13: Prevalent Cases of Hemophilia A with or Non-Inhibitors in EU4 and the UK (2020-2034)
Figure 14: Treated Patient Pool of Hemophilia A in EU4 and the UK (2020-2034)
Figure 15: Total Prevalent Cases of Hemophilia A in Japan (2020-2034)
Figure 16: Age-specific Prevalent Cases of Hemophilia A in Japan (2020-2034)
Figure 17: Severity-specific Prevalent Cases of Hemophilia A in Japan (2020-2034)
Figure 18: Prevalent Cases of Hemophilia A with Inhibitors and Without Inhibitors in Japan (2020-2034)
Figure 19: Treated Patient Pool Population of Hemophilia A in Japan (2020-2034)