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Warm Autoimmune Hemolytic Anemia (WAIHA) - Epidemiology Forecast - 2034

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    Report

  • 67 Pages
  • December 2024
  • Region: Global
  • DelveInsight
  • ID: 5031262

Key Highlights

  • wAIHA is the most common type of autoimmune hemolytic anemia. People of any age, including children, may develop wAIHA, but it is more common among adults, with a peak incidence between 50 and 70 years. The median age at onset is 52 years.
  • As per the secondary research, the prevalence of wAIHA is 1 per 8,000, and accounts for 70-75% of the total AIHA cases.
  • wAIHA is possibly slightly more common in women compared to men.
  • As per secondary research, approximately half of the cases of wAIHA are primary (idiopathic), while the other half are secondary to an underlying condition, frequently chronic lymphocytic leukemia, or an autoimmune systemic disease such as systemic lupus erythematosus.
  • In 2023, the total diagnosed prevalent cases of wAIHA in Japan were around 1,300 cases, and these cases are expected to increase during the forecast period.
The “Warm Autoimmune Hemolytic Anemia (wAIHA) - Epidemiology - 2034” report delivers an in-depth understanding of wAIHA, historical and forecasted epidemiology of wAIHA 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

Warm Autoimmune Hemolytic Anemia (wAIHA) Disease Understanding

wAIHA Overview

Warm autoimmune hemolytic anemia (wAIHA) is a type of autoimmune disorder characterized by the destruction of red blood cells (hemolysis) due to the body's immune system mistakenly targeting its red blood cells. In wAIHA, the antibodies produced by the immune system bind to red blood cells at body temperature (hence "warm") and mark them for destruction by the spleen and other organs. This leads to a decrease in the number of circulating red blood cells, resulting in anemia. Symptoms of wAIHA can vary but often include fatigue, weakness, pallor, shortness of breath, and jaundice (yellowing of the skin and eyes). The condition can be primary (idiopathic) or secondary to underlying conditions such as autoimmune diseases, infections, lymphoproliferative disorders, or certain medications.

wAIHA Diagnosis

Diagnosing wAIHA involves several steps to confirm the presence of hemolysis (destruction of red blood cells) and to identify the underlying cause. Initially, a complete blood count (CBC) is conducted to assess hemoglobin levels, red blood cell count, and other parameters indicative of anemia. Peripheral blood smear examination may reveal signs of hemolysis, such as red blood cell destruction and the presence of spherocytes (abnormally shaped red blood cells). Direct antiglobulin test (DAT), also known as the Coombs test, is performed to detect antibodies or complement proteins bound to the surface of red blood cells. A positive DAT result confirms the presence of autoimmune-mediated hemolysis. Further tests, including serum protein electrophoresis, autoimmune serology, and bone marrow examination, may be conducted to identify underlying conditions associated with wAIHA, such as autoimmune diseases, infections, or malignancies. Overall, a combination of clinical findings and laboratory tests is crucial for the accurate diagnosis of wAIHA.

Warm Autoimmune Hemolytic Anemia (wAIHA) Epidemiology

The wAIHA epidemiology chapter in the report provides historical as well as forecasted epidemiology segmented by the total diagnosed prevalent cases of autoimmune hemolytic anemia, total prevalent cases of wAIHA, type-specific cases of wAIHA, gender-specific cases of wAIHA, and age-specific cases of wAIHA in the 7MM covering the United States, EU4 (Germany, France, Italy, and Spain) and the United Kingdom, and Japan from 2020 to 2034.
  • Among the 7MM, the US accounted for the highest prevalent cases of wAIHA in 2023, with around 42,000 cases; these cases are expected to increase during the forecast period.
  • Among gender-specific prevalent cases of wAIHA, females stand out as major contributors. In 2023, Females accounted for up to 60% of cases of wAIHA. These cases are anticipated to increase by 2034 in the US.
  • Amongst EU4 and the UK, the total prevalent cases of wAIHA were highest in Germany, while the lowest number of cases were in Spain in 2023.
  • According to the estimates, in Japan, it is observed that wAIHA was most prevalent in the =65 years age group, accounting for over 64% of total cases in 2023.

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 the wAIHA evolving epidemiology landscape, patient reliance on conventional therapies, patient therapy switching acceptability, and drug uptake, along with challenges related to accessibility, including Hematologists, Rheumatologist, Hematology-Oncology Specialist, and others.

The analysts connected with 30+ KOLs to gather insights; however, interviews were conducted with 15+ KOLs in the 7MM. Centers such as the University of California Los Angeles Medical Center, Professor of Massachusetts General Hospital, MD, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), etc., were contacted. Their opinion helps understand and validate the epidemiology trend in different geographies.

Scope of the Report

  • The report covers a segment of key events, an executive summary, descriptive overview of wAIHA, explaining its causes, signs and symptoms, pathogenesis, and diagnosis.
  • Comprehensive insight into the epidemiology segments and forecasts and 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 s.
  • A detailed review of current challenges in establishing the diagnosis.

Warm Autoimmune Hemolytic Anemia (wAIHA) Report Insights

  • Patient Population
  • Country-wise Epidemiology Distribution
  • Age-wise cases of wAIHA

Warm Autoimmune Hemolytic Anemia (wAIHA) Report Key Strengths

  • Eleven Years Forecast
  • The 7MM Coverage
  • wAIHA Epidemiology Segmentation

Warm Autoimmune Hemolytic Anemia (wAIHA) Report Assessment

  • Current Diagnostic Practices

Epidemiology Insights

  • What are the disease risks, burdens, and unmet needs of wAIHA? What will be the growth opportunities across the 7MM concerning the patient population with wAIHA?
  • What is the historical and forecasted wAIHA patient pool in the United States, EU4 (Germany, France, Italy, and Spain) the United Kingdom, and Japan?
  • Which age group of wAIHA has a high patient share?

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 age-specific wAIHA prevalence cases 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 treatment-eligible patient pool.
  • Detailed insights on various factors hampering disease diagnosis and other existing diagnostic challenges.

Table of Contents

1. KEY INSIGHTS2. REPORT INTRODUCTION3. EXECUTIVE SUMMARY OF wAIHA4. EPIDEMIOLOGY METHODOLOGY
5. wAIHA EPIDEMIOLOGY OVERVIEW AT A GLANCE IN THE 7MM
5.1. Patient Share (%) Distribution of wAIHA in 2020
5.2. Patient Share (%) Distribution of wAIHA in 2034
6. DISEASE BACKGROUND AND OVERVIEW
6.1. INTRODUCTION
6.1.1. Classification
6.1.2. Signs and Symptoms of wAIHA
6.1.3. Risk Factors
6.1.4. Pathophysiology of wAIHA
6.2. Diagnosis
6.3. Diagnostic Algorithm
7. EPIDEMIOLOGY AND PATIENT POPULATION
7.1. Key Findings
7.2. Assumption and Rationale
7.3. Total Diagnosed Prevalent Cases of AIHA in the 7MM
7.4. Total Diagnosed Prevalent Cases OF WAIHA in the 7MM
7.5. The United States
7.5.1. Total Prevalent Cases of wAIHA in the United States
7.5.2. Type-specific Cases of wAIHA in the United States
7.5.3. Gender-specific Cases of wAIHA in the United States
7.5.4. Age-specific Cases of wAIHA in the United States
7.6. EU4 and the UK
7.6.1. Total Prevalent Cases of wAIHA in EU4 and the UK
7.6.2. Type-specific Cases of wAIHA in EU4 and the UK
7.6.3. Gender-specific Cases of wAIHA in EU4 and the UK
7.6.4. Age-specific Cases of wAIHA in EU4 and the UK
7.7. Japan
7.7.1. Total Prevalent Cases of wAIHA in Japan
7.7.2. Type-specific Cases of wAIHA in Japan
7.7.3. Gender-specific Prevalent Cases of wAIHA in Japan
7.7.4. Age-specific Cases of wAIHA 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 wAIHA Epidemiology (2020-2034)
Table 2: Types of AIHA and its Etiology
Table 3: Risk Factors of AIHA
Table 4: Recommended Laboratory Tests for Chronic wAIHA
Table 5: DAT Reactivity
Table 6: Total Prevalent Cases of AIHA in the 7MM (2020-2034)
Table 7: Total Prevalent Cases of wAIHA in the 7MM (2020-2034)
Table 8: Total Prevalent Cases of wAIHA in the United States (2020-2034)
Table 9: Type-specific Cases of wAIHA in the United States (2020-2034)
Table 10: Gender-specific Cases of wAIHA in the United States (2020-2034)
Table 11: Age-specific Cases of wAIHA in the United States (2020-2034)
Table 12: Total Prevalent Cases of wAIHA in EU4 and the UK (2020-2034)
Table 13: Type-specific Cases of wAIHA in EU4 and the UK (2020-2034)
Table 14: Gender-specific Cases of wAIHA in EU4 and the UK (2020-2034)
Table 15: Age-specific Cases of wAIHA in EU4 and the UK (2020-2034)
Table 16: Total Prevalent Cases of wAIHA in Japan (2020-2034)
Table 17: Type-specific Cases of wAIHA in Japan (2020-2034)
Table 18: Gender-specific Prevalent Cases of wAIHA in Japan (2020-2034)
Table 19: Age-specific Cases of wAIHA in Japan (2020-2034)
List of Figures
Figure 1: Pathogenic Mechanisms of Red Blood Cell Destruction
Figure 2: The Principle of the Direct Anti-globulin Test (DAT)
Figure 3: Diagnostic Algorithm of AIHA.
Figure 4: Total Diagnosed Prevalent Cases of AIHA in the 7MM (2020-2034)
Figure 5: Total Prevalent Cases of wAIHA in the 7MM (2020-2034)
Figure 6: Total Prevalent Cases of wAIHA in the United States (2020-2034)
Figure 7: Type-specific Cases of wAIHA in the United States (2020-2034)
Figure 8: Gender-specific Cases of wAIHA in the United States (2020-2034)
Figure 9: Age-specific Cases of wAIHA in the United States (2020-2034)
Figure 10: Total Prevalent Cases of wAIHA in EU4 and the UK (2020-2034)
Figure 11: Type-specific Cases of wAIHA in EU4 and the UK (2020-2034)
Figure 12: Gender-specific Cases of wAIHA in EU4 and the UK (2020-2034)
Figure 13: Age-specific Cases of wAIHA in EU4 and the UK (2020-2034)
Figure 14: Total Prevalent Cases of wAIHA in Japan (2020-2034)
Figure 15: Type-specific Cases of wAIHA in Japan (2020-2034)
Figure 16: Gender-specific Prevalent Cases of wAIHA in Japan (2020-2034)
Figure 17: Age-specific Cases of wAIHA in Japan (2020-2034)