Exstrophy-Epispadias Complex (EEC) – Market Outlook, Epidemiology, Competitive Landscape, and Market Forecast Report – 2022 To 2032

 Exstrophy-Epispadias Complex (EEC) is a spectrum of genitourinary malformations that range in severity from epispadias (E) and classical bladder exstrophy (CEB) to exstrophy of the cloaca (EC), which is the most severe form. EEC encompasses various anatomical structures, including the urinary system, musculoskeletal system, pelvis, pelvic floor, abdominal wall, genitalia, and sometimes the spine and anus. EEC is characterized by a visible defect in the lower abdominal wall, which may manifest as an evaginated bladder plate in classical bladder exstrophy or an open urethral plate in males and a cleft in females in cases of epispadias. This results in urine leakage from the ureteric orifices, which is evident on the bladder surface or through the urethra. In rare cases of cloacal exstrophy, two exstrophied hemibladders, omphalocele, imperforate anus, and spinal defects may be observed at birth. Additionally, there are atypical forms of EEC, including duplicated exstrophy, covered exstrophy, and pseudo-exstrophy. The underlying cause of EEC remains unknown, but it was suggested that a possible genetic component. Environmental factors may also contribute to the etiology of the condition. Diagnosis of EEC is typically made at birth based on clinical presentation, but it can also be detected prenatally through careful ultrasound examinations. Non-visualization of a normally filled fetal bladder in repeated ultrasounds may indicate the presence of EEC. Management of EEC primarily involves surgical intervention, with the primary goals being secure closure of the abdominal wall, achieve urinary continence while preserving renal function, and provide adequate cosmetic and functional genital reconstruction. Currently, various methods for bladder reconstruction, including staged or one-stage approaches, are favored worldwide. Another alternative involves removing the bladder template and creating a complete urinary diversion to a rectal reservoir. After reconstructive bladder surgery, approximately 80% of patients are expected to achieve continence during childhood.

·       The prevalence of classic bladder exstrophy in the United States is approximately 2.15 per 100,000 births. Male epispadias occurs in about 1 in 117,000 births, while female epispadias is rarer in 1 in 484,000 births. Cloacal exstrophy is the least common, affecting about 1 in 200,000 to 400,000 births.

Thelansis’s “Exstrophy-Epispadias Complex (EEC) 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 Exstrophy-Epispadias Complex (EEC) treatment modalities options for eight major markets (USA, Germany, France, Italy, Spain, UK, Japan, and China).

KOLs insights of Exstrophy-Epispadias Complex (EEC) 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.

Exstrophy-Epispadias Complex (EEC) 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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