Published Date : 2021-10-14
Published Date : 2021-10-14
Updated On : 2022-04-19
Pages : 166
Thelansis’s “Recurrent C. Difficile Infections (rCDI) Market Outlook, Epidemiology, Competitive Landscape, and Market Forecast Report – 2021 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 Recurrent C. Difficile Infections (rCDI) treatment modalities options for eight major markets (USA, Germany, France, Italy, Spain, UK, Japan, and China).
Clostridium difficile infection (CDI) is an anaerobic spore-forming bacillus that colonizes the intestinal tract in patients whose normal gut microbiota is disrupted by antibiotic therapy or any other reason. C difficile produces two major toxins—toxins A and B—that cause intestinal mucosal injury, diarrhea, and colitis. In some cases, fulminant infection leads to shock, ileus, and toxic megacolon. In high-income countries, C. difficile is the most common cause of infectious diarrhea in hospitalized patients. Between 20% and 35% of patients with C. difficile infection will fail initial antibiotic treatment, and, of these, 40–60% will have a second recurrence. Recurrence of C. difficile infection after initial treatment causes substantial morbidity and is a significant burden on health care systems. Antibiotics are the mainstay treatments for primary and recurrent CDI, with a recent trend toward vancomycin and fidaxomicin over metronidazole. Recurrent infections affect 15-35 percent of CDI patients. CDI is frequently a relapse of the same infection rather than a new strain infection. Following the first recurrence, second and subsequent recurrences are even more common.
North America- the United States and Canada
Europe- EU5 (Germany, France, Italy, Spain, and the United Kingdom)
Other countries- Japan & China
This section of the study covers country-specific current clinical practice, the standard of care, and significant limitations around addressing the unmet needs. Retrospective analysis and bench-marking of clinical study outcomes are presented in terms of Pre-treatment & post-treatment clinical and demographic patient characteristics. Essentially, this section will cover the evolution of the current competitive landscape and its impact on the future treatment paradigm.
KOLs across 8 MM markets from the center of Excellence/ Public/ Private hospitals participated in the study. Insights around current treatment landscape, epidemiology, clinical characteristics, future treatment paradigm, and Unmet needs
- 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
Optimization of cash flow/ revenue flow concerning all fixed and variable investments throughout the product development process. The rate of return on an investment is a critical indicator to ensure the profitability and break-even of the project.
The competitive landscape includes country-specific approved as well as pipeline therapies. Any asset/product-specific designation or review such as Orphan drug designation, Fast track, Priority Review, Breakthrough Therapy Designation, Rare Pediatric Disease Designation, and Accelerated Approval are tracked and supplemented with analyst commentary.
Detailed clinical trial data analysis and critical product positioning include trial design, primary outcomes, secondary outcomes, dosing and schedules, inclusion and exclusion criteria, recruitment status and essentially covers the reported adverse events. Majorly the trial analysis helps determine the potential of the critical assets and their probable filing and launch date.
This report presents the most important clinical unmet needs in the treatment, according to Thelansis research and analysis. Other essential unmet needs identified through our study include decreased cost burden on patients, improved administration convenience, and improved patient compliance.
S. no | Asset | Company | Stage |
1 | SER-109 | Seres Therapeutics, Inc. | Phase 3 |
2 | RBX2660 | Rebiotix Inc. | Phase 3 |
3 | CP101 | Finch Research and Development LLC. | Phase 2 |
4 | MBK-01 | Mikrobiomik Healthcare Company S.L. | Phase 3 |
5 | VE303 | Vedanta Biosciences, Inc. | Phase 2 |
6 | GS-CDA1/MDX-1388 | MassBiologics | Phase 2 |
7 | (MK-3415A-002) | Merck Sharp & Dohme LLC | Phase 3 |
KOLs across 8 MM markets from the center of Excellence/ Public/ Private hospitals participated in the study. Insights around current treatment landscape, epidemiology, clinical characteristics, future treatment paradigm, and Unmet needs.
COUNTRY | No. Of KOLs |
USA | 17 |
GERMANY | 4 |
UK | 5 |
SPAIN | 4 |
FRANCE | 4 |
ITALY | 4 |
JAPAN | 5 |
CHINA | 5 |
Data Inputs with sourcing, Market Event, Product Event, Country specific Forecast Model, Market uptake and patient share uptake, Attribute Analysis, Analog Analysis, Disease burden, and pricing scenario, Summary, and Insights.
1. Recurrent C. Difficile Infections (rCDI) – Key Findings Summary |
1.1. Clinical findings |
1.1.1. Disease overview |
1.1.2. Therapeutic practices |
1.1.3. Future outlook |
1.2. Commercial findings |
1.2.1. Recurrent C. Difficile Infections (rCDI) market scenario 2021 |
1.2.2. Recurrent C. Difficile Infections (rCDI) market scenario 2025 |
1.2.3. Recurrent C. Difficile Infections (rCDI) market scenario 2032 |
2. Recurrent C. Difficile Infections (rCDI) Overview |
2.1. Disease Introduction |
2.2. Pathophysiology |
2.3. Signs and Symptoms |
2.4. Risk Factors |
2.5. Etiology |
2.6. Classification |
2.7. Pathogenesis |
2.8. Diagnosis |
2.9. Complications |
2.10. Treatment Algorithm |
2.10.1. Treatment in US (guidelines) |
2.10.2. Treatment in EU-5 (guidelines) |
2.10.3. Treatment in Japan (guidelines) |
2.10.4. Treatment in China (guidelines) |
2.11. Treatment Goals for Recurrent C. Difficile Infections (rCDI) |
2.12. Referral Patterns |
2.12.1. Referral Scenario in US |
2.12.2. Referral Scenario in EU-5 |
2.12.3. Referral Scenario in Japan |
2.12.4. Referral Scenario in China |
2.13. Recurrent C. Difficile Infections (rCDI) Prognosis |
2.14. Healthcare burden |
2.14.1. Healthcare burden in US |
2.14.2. Healthcare burden in EU-5 |
2.14.3. Healthcare burden in Japan |
2.14.4. Healthcare burden in China |
2.15. Unmet Needs in Recurrent C. Difficile Infections (rCDI) management |
2.16. Market Opportunity for Recurrent C. Difficile Infections (rCDI) |
2.17. KOL Comments on current and upcoming/expected treatment practices in Recurrent C. Difficile Infections (rCDI) |
3. Epidemiology |
3.1. Epidemiology Overview |
3.2. Epidemiology by Geography |
3.2.1. Recurrent C. Difficile Infections (rCDI) Epidemiology in US (2021-2032) |
3.2.1.1. Incidence of Recurrent C. Difficile Infections (rCDI) |
3.2.1.2. Diagnosed cases |
3.2.1.3. Treatable Patient Pool |
3.2.1.4. Epidemiology Trends |
3.2.2. Recurrent C. Difficile Infections (rCDI) Epidemiology in EU-5 (2021-2032) |
3.2.2.1. Incidence of Recurrent C. Difficile Infections (rCDI) |
3.2.2.2. Diagnosed cases |
3.2.2.3. Treatable Patient Pool |
3.2.2.4. Epidemiology Trends |
3.2.3. Recurrent C. Difficile Infections (rCDI) Epidemiology in Japan (2021-2032) |
3.2.3.1. Incidence of Recurrent C. Difficile Infections (rCDI) |
3.2.3.2. Diagnosed cases |
3.2.3.3. Treatable Patient Pool |
3.2.3.4. Epidemiology Trends |
3.2.4. Recurrent C. Difficile Infections (rCDI) Epidemiology in China (2021-2032) |
3.2.4.1. Incidence of Recurrent C. Difficile Infections (rCDI) |
3.2.4.2. Diagnosed cases |
3.2.4.3. Treatable Patient Pool |
3.2.4.4. Epidemiology Trends |
3.3. Epidemiology Trends (World-wide) |
4. Market Outlook |
4.1. US Recurrent C. Difficile Infections (rCDI) Market Forecast 2021-2032 |
4.1.1. Market Progression (Futuristic) |
4.1.2. Market Trends and Expectations |
4.1.2.1. Worst case scenario |
4.1.2.2. Base Case Scenario |
4.1.2.3. Best Case Scenario |
4.1.3. Drivers and Barriers |
4.2. UK Recurrent C. Difficile Infections (rCDI) Market Forecast 2021-2032 |
4.2.1. Market Progression (Futuristic) |
4.2.2. Market Trends and Expectations |
4.2.2.1. Worst case scenario |
4.2.2.2. Base Case Scenario |
4.2.2.3. Best Case Scenario |
4.2.3. Drivers and Barriers |
4.3. France Recurrent C. Difficile Infections (rCDI) Market Forecast 2021-2032 |
4.3.1. Market Progression (Futuristic) |
4.3.2. Market Trends and Expectations |
4.3.2.1. Worst case scenario |
4.3.2.2. Base Case Scenario |
4.3.2.3. Best Case Scenario |
4.3.3. Drivers and Barriers |
4.4. Germany Recurrent C. Difficile Infections (rCDI) Market Forecast 2021-2032 |
4.4.1. Market Progression (Futuristic) |
4.4.2. Market Trends and Expectations |
4.4.2.1. Worst case scenario |
4.4.2.2. Base Case Scenario |
4.4.2.3. Best Case Scenario |
4.4.3. Drivers and Barriers |
4.5. Italy Recurrent C. Difficile Infections (rCDI) Market Forecast 2021-2032 |
4.5.1. Market Progression (Futuristic) |
4.5.2. Market Trends and Expectations |
4.5.2.1. Worst case scenario |
4.5.2.2. Base Case Scenario |
4.5.2.3. Best Case Scenario |
4.5.3. Drivers and Barriers |
4.6. Spain Recurrent C. Difficile Infections (rCDI) Market Forecast 2021-2032 |
4.6.1. Market Progression (Futuristic) |
4.6.2. Market Trends and Expectations |
4.6.2.1. Worst case scenario |
4.6.2.2. Base Case Scenario |
4.6.2.3. Best Case Scenario |
4.6.3. Drivers and Barriers |
4.7. Japan Recurrent C. Difficile Infections (rCDI) Market Forecast 2021-2032 |
4.7.1. Market Progression (Futuristic) |
4.7.2. Market Trends and Expectations |
4.7.2.1. Worst case scenario |
4.7.2.2. Base Case Scenario |
4.7.2.3. Best Case Scenario |
4.7.3. Drivers and Barriers |
4.8. China Recurrent C. Difficile Infections (rCDI) Market Forecast 2021-2032 |
4.8.1. Market Progression (Futuristic) |
4.8.2. Market Trends and Expectations |
4.8.2.1. Worst case scenario |
4.8.2.2. Base Case Scenario |
4.8.2.3. Best Case Scenario |
4.8.3. Drivers and Barriers |
4.9. Key Expected Milestones (world-wide) Impacting the Market |
5. Competitive Landscape |
5.1. Pipeline Therapies Overview |
5.1.1. Phase III Therapies |
5.1.1.1. Current Status |
5.1.1.2. Trial details, results |
5.1.1.3. Approval Timeline |
5.1.1.4. Likelihood of approval |
5.1.1.5. Expected Product Positioning |
5.1.1.2. All other Phase III Therapies ….. |
5.1.1.3. Attribute Analysis of Phase III molecules |
5.1.2. Phase II and Phase I/II Therapies |
5.1.2.1. Current Status |
5.1.2.2. Trial details, results |
5.1.2.3. Approval Timelines |
5.1.3. List of active Pre-clinical Therapies |
5.1.3.1. Status in Recurrent C. Difficile Infections (rCDI) |
5.1.3.2. Company positioning |
5.1.3.2. All other pre-clinical therapies |
5.1.4. List of Inactive/discontinued assets |
5.1.4.1. Business impact of discontinuations on current pipeline |
5.1.5. Potential winners from Recurrent C. Difficile Infections (rCDI) Pipeline |
5.1.5.1. Potential Blockbusters across the pipeline |
6. Regulatory/Approval Scenario |
6.1. Regulatory/Approval Framework in US |
6.1.1. Policy Framework |
6.1.2. Payer Expectations |
6.2. Regulatory/Approval Framework in UK |
6.2.1. Policy Framework |
6.2.2. Payer Expectations |
6.3. Regulatory/Approval Framework in France |
6.3.1. Policy Framework |
6.3.2. Payer Expectations |
6.4. Regulatory/Approval Framework in Germany |
6.4.1. Policy Framework |
6.4.2. Payer Expectations |
6.5. Regulatory/Approval Framework in Italy |
6.5.1. Policy Framework |
6.5.2. Payer Expectations |
6.6. Regulatory/Approval Framework in Spain |
6.6.1. Policy Framework |
6.6.2. Payer Expectations |
6.7. Regulatory/Approval Framework in Japan |
6.7.1. Policy Framework |
6.7.2. Payer Expectations |
6.8. Regulatory/Approval Framework in China |
6.8.1. Policy Framework |
6.8.2. Payer Expectations |
7. Clinical Trial Assessment – Current and Future Paradigm |
7.1. Distribution of Primary Endpoints across trials |
7.2. Distribution of Secondary Endpoints across trials |
7.3. Evolution and acceptance of surrogate endpoints |
7.4. Key Investigator initiated trials |
7.5. Attrition analysis |
7.5.1. Suspended/Discontinued Assets |
7.5.2. Failed Trials, Reasons and Business Impact |
7.5.3. Terminated Trials, Reasons and Business Impact |
7.5.4. Withdrawn Trials, Reasons and Business Impact |
7.6. Trial enrollment scenario and challenges |
7.7. Clinical Trial Guidance (across geographies) |
8. Thelansis Commentary |
8.1. Key Unmet needs in Recurrent C. Difficile Infections (rCDI) |
8.2. Possible Best-case Clinical Trial Strategies |
8.3. Possible Best Case Targeted Product Profile (TPP) |
8.4. Possible Best-case Market positioning strategies |
8.5. Possible Best-case Market Access Strategies |
8.6. Possible Best-case LCM Strategies |
8.7. Overall View on Recurrent C. Difficile Infections (rCDI) Market in Dollar Value |
9. Report Methodology |
9.1. Secondary research |
9.2. Primary research |
9.3. Data collation |
9.4. Insight Generation |
10. About Thelansis |
10.1. Our Capabilities |
10.2. Our Services |
10.3. Our Contacts |
10.4. Disclaimer |