Epiomic Epidemiology Series: Rett Syndrome Forecast in 23 Major Markets 2018–2028

March 2018 | 52 pages | ID: EE87919862BEN
Black Swan Analysis limited

Abstracts

Black Swan Analysis Epiomic Epidemiology Forecast Report on Rett Syndrome in 23 Major Markets

Rett syndrome (RTT) is a rare neurodevelopmental disorder characterised by loss of acquired skills after a period of apparently normal development. It is divided into typical, atypical and variant forms, most of which affect girls. It used to be considered as one of the autism spectrum disorders, but when its aetiology was determined to be an X-linked (rarely autosomal) single-gene mutation, it was removed from that group and is now considered as a separate pathological entity.

This report provides the current prevalent female population for Rett syndrome across 23 Major Markets (USA, Canada, France, Germany, Italy, Spain, UK, Poland, Netherlands, Norway, Sweden, Switzerland, Estonia, Russia, Turkey, Japan, China, South Korea, India, Australia, Brazil, Mexico, Argentina) split by 5-year age cohort. In addition to the current prevalence, the report provides an overview of the risk factors, diagnosis and prognosis of the disease, along with specific variations by geography and ethnicity.

Providing a value-added level of insight from the analysis team at Black Swan, several features of Rett syndrome patients, as well as the main comorbidities of the disease have been quantified and presented alongside the overall prevalence figures. These sub-populations within the main disease are also included at a country level across the 10-year forecast snapshot.

Main symptoms and co-morbidities of Rett syndrome include:

• Gastrointestinal problems (gastro-oesophageal reflux, constipation)
• Nutritional problems (poor weight gain)
• Musculoskeletal problems (scoliosis, kyphosis, spasticity, joint deformities)
• Long QT syndrome
• Seizures

This report is built using data and information sourced from the proprietary Epiomic patient segmentation database. To generate accurate patient population estimates, the Epiomic database utilises a combination of several world-class sources that deliver the most up-to-date information form patient registries, clinical trials and epidemiology studies. All of the sources used to generate the data and analysis have been identified in the report.

Reason to buy

• Ability to quantify patient populations in global Rett syndrome market to target the development of future products, pricing strategies and launch plans.
• Further insight into the prevalence of the subdivided types of Rett syndrome and identification of patient segments with high potential.
• Delivery of more accurate information for clinical trials in study sizing and realistic patient recruitment for various countries.
• Better understanding of the impact of specific co-morbid conditions on the prevalent population of Rett syndrome patients.
• Identification of Rett syndrome patient sub-populations that require treatment.
• Better understanding of the specific markets that have the largest number of Rett syndrome patients.

Contents

INTRODUCTION

CAUSE OF THE DISEASE

RISK FACTORS & PREVENTION

DIAGNOSIS OF THE DISEASE

VARIATION BY GEOGRAPHY/ETHNICITY

DISEASE PROGNOSIS & CLINICAL COURSE

KEY COMORBID CONDITIONS / FEATURES ASSOCIATED WITH THE DISEASE

METHODOLOGY FOR QUANTIFICATION OF PATIENT NUMBERS

TOP-LINE PREVALENCE FOR RETT SYNDROME

FEATURES OF AUTISM SPECTRUM DISORDER PATIENTS

COMORBIDITIES OF RETT SYNDROME PATIENTS

ABBREVIATIONS USED IN THE REPORT

OTHER BLACK SWAN SERVICES & SOLUTIONS

REPORTS & PUBLICATIONS

ONLINE EPIDEMIOLOGY DATABASES

ONLINE PHARMACEUTICAL PRICING DATABASE

REFERENCES

APPENDIX

List Of Tables

LIST OF TABLES AND FIGURES

Table 1. Revised diagnostic criteria for RTT
Table 2. Prevalence of Rett syndrome, females (000s)
Table 3. Patients with Rett syndrome by type, females (000s)
Table 4. Rett syndrome patients with MECP2 mutation, females (000s)
Table 5. Rett syndrome patients with feeding problems, females (000s)
Table 6. Rett syndrome patients with gastrointestinal problems, females (000s)
Table 7. Rett syndrome patients with biliary tract disorders, females (000s)
Table 8. Rett syndrome patients with nutritional problems, females (000s)
Table 9. Rett syndrome patients with short stature, females (000s)
Table 10. Rett syndrome patients with skeletal problems, females (000s)
Table 11. Rett syndrome patients with seizures, females (000s)
Table 12. Rett syndrome patients with scoliosis, females (000s)
Table 13. Rett syndrome patients with kyphosis, females (000s)
Table 14. Rett syndrome patients with spasticity, females (000s)
Table 15. Rett syndrome patients with joint deformities, females (000s)
Table 16. Abbreviations and acronyms used in the report
Table 17. USA prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Table 18. Canada prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Table 19. France prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Table 20. Germany prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Table 21. Italy prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Table 22. Spain prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Table 23. UK prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Table 24. Poland prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Table 25. Netherlands prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Table 26. Norway prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Table 27. Sweden prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Table 28. Switzerland prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Table 29. Estonia prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Table 30. Russia prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Table 31. Turkey prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Table 32. Japan prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Table 33. China prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Table 34. South Korea prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Table 35. India prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Table 36. Australia prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Table 37. Brazil prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Table 38. Mexico prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Table 39. Argentina prevalence of Rett syndrome by 5-yr age cohort, females (000s)
Figure 1. Timeline of stages and symptom onset in RTT patients