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Brain Hemorrhage – Market Outlook, Epidemiology, Competitive Landscape, and Market Forecast Report – 2023 To 2033 thelansis.com
A brain hemorrhage, or intracranial hemorrhage, occurs when bleeding happens between the brain tissue and the skull or within the brain tissue. This bleeding can impede the brain’s oxygen supply, leading to symptoms such as headaches, nausea, vomiting, tingling in the limbs, and facial paralysis. There are two main categories of brain bleeds: those that occur within the skull but outside the brain tissue and within the brain tissue itself. Bleeding within the skull but outside the brain tissue includes: Epidural hemorrhage – This type of bleeding occurs between the skull bone and the outermost membrane, known as the dura mater. Subdural hemorrhage – Brain bleed occurs between the dura mater and the arachnoid membrane. Subarachnoid hemorrhage – Bain bleed occurs between the arachnoid membrane and the pia mater. Bleeding inside the brain tissue can be classified into two types: Intracerebral hemorrhage involves bleeding within the brain’s cerebellum, including the brainstem. Intraventricular hemorrhage – These bleeds originate in the brain cavities where cerebrospinal fluid is produced. The symptoms of a brain bleed, or intracranial hemorrhage, vary based on the affected part of the brain. Common symptoms include weakness, numbness, tingling, facial paralysis, nausea, vomiting, confusion, dizziness, seizures, difficulty swallowing, impaired vision, sensitivity to light, and problems with balance and coordination. Several factors can cause a brain hemorrhage, including:
• Head trauma: Injuries to the head are the leading cause of brain bleeds in individuals under 50.
• High blood pressure: Unmanaged high blood pressure can weaken blood vessel walls and lead to brain bleeding.
• Aneurysm: A weakened and swollen blood vessel wall can result in a burst aneurysm, causing brain bleeding and stroke.
• Blood vessel abnormalities: Conditions like arteriovenous malformations (AVMs) can cause weak blood vessels in and around the brain.
• Amyloid angiopathy: Typically seen in older adults with high blood pressure, this condition can lead to small, unnoticed bleeds that eventually result in larger bleeding.
• Blood or bleeding disorders: Conditions like hemophilia and sickle cell anemia can contribute to brain bleeds due to reduced blood platelets and clotting. People on blood thinners also face an increased risk.
• Liver disease: Individuals with liver disorders are more prone to bleeding problems.
• Brain tumors: Those who have previously had brain tumors are at a heightened risk of experiencing a brain hemorrhage.
Thelansis’s “Brain Hemorrhage 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 Brain Hemorrhage treatment modalities options for eight major markets (USA, Germany, France, Italy, Spain, UK, Japan, and China).
KOLs insights of Brain Hemorrhage 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.
Brain Hemorrhage 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.
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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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