Acute Liver Failure (ALF) – Market Outlook, Epidemiology, Competitive Landscape, and Market Forecast Report – 2023 To 2033


 

Acute liver failure (ALF) is a rare and frequently heterogeneous presentation of severe liver dysfunction in a patient with no prior history of liver disease. Despite its high morbidity and mortality, survival has improved due to advances in intensive care management and emergency liver transplantation. Hepatitis A and E are the leading causes of liver failure, with most cases occurring in developing countries. Drug-induced hepatitis accounts for nearly half of all ALF cases in the United States, with acetaminophen being the most common cause. Hepatitis B infection may result in liver failure due to both acute conditions and reactivation of hepatitis B following the start of immunosuppressive therapy. Co-infection with hepatitis B and C may result in ALF, though this is uncommon with hepatitis C alone. Herpes simplex virus, Epstein-Barr virus (EBV), Parvoviruses, cytomegalovirus (CMV), adenovirus, and varicella-zoster virus are all viral etiologies of ALF.

  • The incidence of Acute liver failure (ALF) ranges from 0.85 to 1.1 cases per 100,000 population in the USA.

 

Thelansis’s “Acute Liver Failure (ALF) Market Outlook, Epidemiology, Competitive Landscape, and Market Forecast Report – 2023 To 2033" covers disease overview, epidemiology, drug utilization, prescription share analysis, competitive landscape, clinical practice, regulatory landscape, patient share, market uptake, market forecast, and key market insights under the potential Acute Liver Failure (ALF) treatment modalities options for eight major markets (USA, Germany, France, Italy, Spain, UK, Japan, and China).

KOLs insights of Acute Liver Failure (ALF) across 8 MM market from the centre of Excellence/ Public/ Private hospitals participated in the study. Insights around current treatment landscape, epidemiology, clinical characteristics, future treatment paradigm, and Unmet needs.

Acute Liver Failure (ALF) Market Forecast Patient Based Forecast Model (MS. Excel Based Automated Dashboard), which Data Inputs with sourcing, Market Event, and Product Event, Country specific Forecast Model, Market uptake and patient share uptake, Attribute Analysis, Analog Analysis, Disease burden, and pricing scenario, Summary, and Insights.

Thelansis Competitive Intelligence (CI) practice has been established based on a deep understanding of the pharma/biotech business environment to provide an optimized support system to all levels of the decision-making process. It enables business leaders in forward-thinking and proactive decision-making. Thelansis supports scientific and commercial teams in seamless CI support by creating an AI/ ML-based technology-driven platform that manages the data flow from primary and secondary sources.

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