Hereditary Angioedema (HAE) – Epidemiology Insights and Forecast Report – 2020 To 2040

Hereditary Angioedema (HAE) Epidemiology Insights

Thelansis’s “Hereditary Angioedema (HAE) Epidemiology Insights and Forecast Report – 2020 To 2040″ provides an analysis of disease burden, characterized by disease definition, prevalence, incidence, diagnosed cases, severity, comorbidities, and clinical manifestations. Potential patient flow dynamics in disease burden are driven by shifts in demographic indicators and their correlation with age and gender distribution over time. Changes in the reported cases and long-term survival of patients may depend on diet, lifestyle, comorbid conditions, and the availability of interventions or therapies.

Hereditary Angioedema (HAE) Overview

Hereditary Angioedema (HAE) is a rare genetic disorder marked by the recurrent occurrence of transient subcutaneous and submucosal edemas, leading to swelling and abdominal pain. This condition is characterized by three distinct types, each with its own prevalence and clinical manifestations. The hallmark symptoms of HAE include recurrent and unpredictable episodes of swelling in various parts of the body, such as the face, extremities, genitals, and gastrointestinal tract. Abdominal pain is a common manifestation and can be severe, often leading to unnecessary surgeries due to the misdiagnosis of the acute abdomen. While there is no cure for HAE, effective management strategies aim to control symptoms and reduce the frequency and severity of attacks.

Geography coverage:

G8 (United States, EU5 [France, Germany, Italy, Spain, U.K.], Japan, and China)

Deliverables format and updates*:

  • Access to an interactive epidemiology platform with downloadable Excel and PPT files.
    • Global findings
    • G8 findings
    • Regional findings
    • Country-specific findings
  • Others*: regular updates, customizations, epidemiologist support

*As per Thelansis’s policy, we ensure that we include all the recent updates before releasing the content. Countries, subpopulations, and years of forecast can be customized as per client requirements.

Key business questions answered:

  • 20-year historical and forecast data (2020–2040)
  • Disease definition based on globally accepted and latest criteria (e.g., ICD-10 codes)
  • Granular patient population coverage by year and geography
  • Detailed segmentation by age, gender, subpopulations, comorbidities, line of therapies, etc.
  • Patient funnels
  • Country comparisons
  • Relevant clinical variables (e.g., staging/classification/severity)

Insights driven by robust research and estimates:

  • Published literature (e.g., peer-reviewed journal articles, registries, national surveys)
  • Primary market research with KOLs
  • RWD analysis using claims and EHR datasets
  • Proprietary mathematical models (e.g., incidence-survival model; incidence- recurrence/progression-survival model)


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