Vulvodynia – Market Outlook, Epidemiology, Competitive Landscape, and Market Forecast Report – 2022 To 2032
Vulvodynia, defined as persistent vulvar pain lasting at least three months without a discernible and clear cause, possibly accompanied by related factors, remains enigmatic regarding its origin. The underlying cause of this condition remains elusive, prompting ongoing research aimed at unraveling the contributing factors. Potential influencers include nerve damage or irritation transmitting pain signals from the vulva to the spinal cord, an increase in both the number and sensitivity of nerve fibers within the vulva, heightened levels of inflammatory substances like cytokines in the vulvar region, aberrant responses to environmental triggers, genetic predisposition, and weakening spasms, or instability of the pelvic floor muscles. Anatomy and Nerve Innervation: The vulva, encompassing the external female genitalia such as the mons pubis, labia majora, labia minora, clitoral hood, clitoris, and vestibule, is supplied with nerve innervation from the ilioinguinal nerve's anterior labial branches, the genitofemoral nerve, and branches of the pudendal nerves. The pudendal nerve further divides into three branches adjacent to the medial portion of the ischial tuberosity: (1) dorsal nerve of the clitoris, (2) perineal nerve, responsible for labia majora and perineum innervation, and (3) inferior rectal nerve, responsible for perianal sensation. Additionally, the pudendal nerve extends its influence over the external anal sphincter and the deep muscles within the urogenital triangle. Influential Factors on Vulvodynia Pain in Women: Factors that may trigger or exacerbate pain in women suffering from vulvodynia encompass a range of situations, including sexual intercourse, restrictive clothing, physical contact from a partner, cycling, use of tampons, and prolonged periods of sitting. Within the diagnostic landscape, vulvodynia's differential diagnosis spans a variety of possibilities, such as infections, inflammatory dermatological conditions, vulvar neoplasms, neurological disorders, trauma, pain stemming from medical treatments to the area, or hormonal deficiencies. Notably, two conditions often confused with causing symptoms akin to vulvodynia warrant special attention: Candida vulvovaginitis and the genitourinary symptoms of menopause (GSM), including atrophic vaginitis.
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In the United States, the prevalence of
vulvodynia is substantial, affecting over 2.4 million women. Within a typical
family practice of 2,000 patients, approximately 15 women will likely be
impacted by this condition.
Thelansis’s “Vulvodynia Market
Outlook, Epidemiology, Competitive Landscape, and Market Forecast Report – 2022
To 2032" 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 Vulvodynia treatment modalities options for
eight major markets (USA, Germany, France, Italy, Spain, UK, Japan, and China).
KOLs insights
of Vulvodynia 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.
Vulvodynia 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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