Neurogenic Orthostatic Hypotension (nOH) – Market Outlook, Epidemiology, Competitive Landscape, and Market Forecast Report – 2023 To 2033

 

Neurogenic orthostatic hypotension (nOH) is a specific form of orthostatic hypotension characterized by impaired regulation of standing blood pressure due to autonomic dysfunction. Patients with nOH assume an upright position and commonly experience dizziness, visual disturbances, presyncope, and syncope symptoms. However, many patients present with more subtle complaints, including tiredness, impaired cognitive function, weakness, fatigue, leg buckling, visual blurring, and difficulty breathing upon standing. These symptoms tend to worsen in hot weather or during fever, after heavy meals, during prolonged standing, and early in the morning. Various factors influence orthostatic hypotension. Cross-sectional analysis indicates that age, drug effects, orthostatic stress in neurological disorders (particularly Parkinson's disease, dementia with Lewy bodies, multiple system atrophy, and autonomic neuropathies), as well as dehydration, deconditioning, and poor nutrition, contribute to the development of orthostatic hypotension in the elderly population. Two distinct patient groups with primary nOH have been identified, regardless of clinical diagnosis. Patients with evidence of cardiac noradrenergic denervation on neuroimaging demonstrate loss of noradrenergic innervation throughout the body, abnormalities in neurochemical responses to test drugs, and evidence of compensatory upregulation of adrenoceptors. On the other hand, patients with central neurodegeneration and intact cardiac noradrenergic innervation on neuroimaging exhibit neurochemical abnormalities suggesting a deficiency in central norepinephrine. They often exhibit high blood pressure (supine hypertension) that disrupts the narrow range of normal blood pressure. As a result, patients may display orthostatic hypotension and supine hypertension at different times. The prevalence of orthostatic hypotension increases with age and is commonly associated with neurodegenerative diseases such as Parkinson's disease, dementia with Lewy bodies, multiple system atrophy, and pure autonomic failure.

• The estimate of OH-related hospitalization is 36 per 100,000 adults, and the OH hospitalization rate can be as high as 233 per 100,000 patients >75 years of age, with a median length of stay of 3 days and an overall in-hospital mortality rate of 0.9%.

Thelansis’s “Neurogenic Orthostatic Hypotension (nOH) 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 Neurogenic Orthostatic Hypotension (nOH) treatment modalities options for eight major markets (USA, Germany, France, Italy, Spain, UK, Japan, and China).

KOLs insights of Neurogenic Orthostatic Hypotension (nOH) 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.

Neurogenic Orthostatic Hypotension (nOH) 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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