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Myotonic Dystrophy - Epidemiology Forecast - 2034

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    Report

  • 105 Pages
  • October 2024
  • Region: Global
  • DelveInsight
  • ID: 5525424
UP TO OFF until Dec 31st 2024

Key Highlights

  • The analyst's analyst projects that the Total Diagnosed Prevalent Cases of Chronic Obstructive Pulmonary Disease (COPD) in the 7MM were ~33.3 million in 2023 and these cases are going to increase during the forecast period (2024-2034). This increase in growth can be attributed to growing awareness, ultimately leading to an increase in the diagnosed prevalence of COPD.
  • Analyst projected that approximately 55% of the Total Diagnosed Prevalent Cases of Chronic Obstructive Pulmonary Disease (COPD) in the 7MM were in the United States. Furthermore In 2023, the EU4 and the UK collectively represented nearly 13.8 million diagnosed prevalent cases of COPD.
  • The Total Diagnosed Prevalent Cases of COPD in the US was found to be nearly 18.5 million in 2023, while Japan accounted for nearly 3% of the Total Diagnosed Prevalent Cases of COPD in the 7MM in 2023.
This report delivers an in-depth understanding of Chronic Obstructive Pulmonary Disease, historical and forecasted epidemiology of Chronic Obstructive Pulmonary Disease in the United States, EU4 (Germany, France, Italy, and Spain) and the United Kingdom, and Japan.

Geography Covered

  • The United States
  • EU4 (Germany, France, Italy, and Spain) and the United Kingdom
  • Japan

Study Period: 2020-2034

Chronic Obstructive Pulmonary Disease Understanding

Chronic Obstructive Pulmonary Disease (COPD) is a prevalent condition that can be prevented and managed, marked by persistent respiratory symptoms and restricted airflow resulting from airway and/or alveolar irregularities, typically stemming from prolonged exposure to harmful particles or gases. The development of COPD entails complex pathological processes, leading to different subgroups with specific traits and progression trajectories. This diversity results in differing frequencies of exacerbations, limitations in airflow, and declines in lung function. Challenges in managing COPD arise from the complexity of addressing these varied characteristics effectively.

Chronic Obstructive Pulmonary Disease Diagnosis

The diagnosis of COPD typically involves a combination of clinical assessment, imaging techniques, and laboratory tests, including examination of removed corneas. Presently, methods such as slit lamp examination, specular microscopy, corneal thickness measurement, and confocal microscopy are utilized for COPD detection. However, there exists a significant gap in medical needs to enhance the sensitivity of early-stage testing. Despite the development of various tools like deep learning algorithms and advanced imaging techniques such as Scheimpflug tomography and anterior segment optical coherence tomography (AS-OCT) to improve early disease diagnosis, there remains a necessity to enhance the availability and accessibility of these image analysis tools for early detection, monitoring disease progression, and facilitating tailored therapeutic interventions.

Chronic Obstructive Pulmonary Disease Epidemiology

For the purpose of designing the patient-based model for Chronic Obstructive Pulmonary Disease (COPD), the report provides historical as well as forecasted epidemiology segmented by Total Diagnosed Prevalent Cases of COPD, Gender-specific Diagnosed Prevalent Cases of COPD, Age-specific Diagnosed Prevalent Cases of COPD, Diagnosed Prevalent Cases of COPD Based on Severity of Airflow Limitation, and Diagnosed Prevalent Cases of COPD Based on Symptoms and Exacerbation History in the 7MM covering the United States, EU4 countries (Germany, France, Italy, and Spain) and the United Kingdom, and Japan, from 2020 to 2034.

The analyst'sanalyst estimate that approximately 33.3 million Diagnosed Prevalent Cases of COPD were found in 2023 in the 7MM.

The United States exhibited the highest diagnosed prevalent population of COPD, as compared to other 7MM countries. As per the analyst's estimations, the Total Diagnosed Prevalent Cases of COPD in the US was around 18.1 million in 2023 and is projected to increase during the forecast period owing to the increasing prevalence of smoking, improved diagnosis and increasing awareness among the patient population.

Analyst estimates that, the Total Diagnosed Prevalent Cases of COPD in EU4 and the UK were found to be ~13.6 million in 2023. Throughout the study period, it is anticipated that there will be a substantial increase in cases for all contributing countries. The highest proportion of COPD cases was reported in Germany among the EU4 countries, while the least number of cases was found in Spain.

The estimates show the Total Diagnosed Prevalent Cases of COPD in Japan was found to be around 0.9 million in 2023, which is estimated to increase by 2034 at a significant CAGR.

The Gender-specific Cases of COPD in the 7MM were ~18.2 million for females and ~15.1 million for males in 2023 and are expected to increase within the forecast period (2024-2034). The increased prevalence in females is likely due to a combination of factors, including genetics, environmental factors, and healthcare inequalities, among others.

The Age-specific Cases of COPD were categorized into 18-44 years, 45-54 years, 55-64 years, 65-74 years, and 75+ years. The higher number of cases (~4.8 million) was accounted for by the 55-64 year age group in 2023 in the US.

The Diagnosed Prevalence of COPD Based on Severity of Airflow Limitation was categorized into GOLD (Global Initiative for Chronic Obstructive Lung Disease) 1-4. According to estimates, a higher number of patients were estimated in the GOLD 2 category, with approximately 6.4 million cases in 2023 in EU4 and the UK.

The GOLD guidelines combine FEV1 reduction, dyspnea, and exacerbation history to classify patients with COPD into Groups A-D. According to estimations by the analyst's analysts, the Diagnosed Prevalent Cases of COPD Based on Symptoms and Exacerbation History were higher in the GOLD A category in the US with nearly 9.8 million cases in 2023.

KOL Views

To gaze into the epidemiology insights of the real world, we take KOLs and SMEs’ opinions working in the domain through primary research to fill the data gaps and validate our secondary research on disease prevalence.

The analysts connected with 20+ KOLs to gather insights; however, interviews were conducted with 10+ KOLs in the 7MM. Centers such as the Holy Cross Hospital, USA, Hospital Universitario de Guadalajara, Spain, Instituto de Investigación Sanitaria Gregorio Marañón, Spain, Tokyo Women's Medical University, Japan, The University of Sheffield, UK, University of Rome, Italy, and others were contacted. Their opinion helps understand and validate current disease prevalence, gender involved with the disease, diagnosis rate, and diagnostic criteria.

Scope of the Report

  • The report covers a segment of key events, an executive summary, descriptive overview of Chronic Obstructive Pulmonary Disease, explaining its causes, signs and symptoms, and currently available diagnostic algorithms and guidelines.
  • Comprehensive insight has been provided into the epidemiology segments and forecasts, the future growth potential of diagnosis rate, disease progression, and diagnosis guidelines.
  • The report provides an edge for understanding trends, expert insights/KOL views, and patient journeys in the 7MM.
  • A detailed review of current challenges in establishing the diagnosis.

Chronic Obstructive Pulmonary Disease Report Insights

  • Patient Population
  • Country-wise Epidemiology Distribution
  • Total Diagnosed Prevalent Cases of COPD
  • Gender-specific Diagnosed Prevalent Cases of COPD
  • Age-specific Diagnosed Prevalent Cases of COPD
  • Diagnosed Prevalent Cases of COPD Based on Severity of Airflow Limitation
  • Diagnosed Prevalent Cases of COPD Based on Symptoms and Exacerbation History

Chronic Obstructive Pulmonary Disease Report Key Strengths

  • 11 years Forecast
  • The 7MM Coverage
  • Chronic Obstructive Pulmonary Disease Epidemiology Segmentation

Chronic Obstructive Pulmonary Disease Report Assessment

  • Current Diagnostic Practices Patient Segmentation

Epidemiology Insights

  • What are the disease risk, burdens, and unmet needs of Chronic Obstructive Pulmonary Disease? What will be the growth opportunities across the 7MM concerning the patient population of Chronic Obstructive Pulmonary Disease?
  • What is the historical and forecasted Chronic Obstructive Pulmonary Disease patient pool in the United States, EU4 (Germany, France, Italy, and Spain) and the United Kingdom, and Japan?
  • Why is the diagnosed prevalent cases of COPD in Japan lower than the US?
  • Which country has a high patient share for COPD?

Reasons to Buy

  • Insights on patient burden/disease, evolution in diagnosis, and factors contributing to the change in the epidemiology of the disease during the forecast years.
  • To understand the Chronic Obstructive Pulmonary Disease prevalence cases in varying geographies over the coming years.
  • A detailed overview of Gender and Age Grade-specific diagnosed prevalence of COPD, along with diagnosed prevalence of COPD Based on severity of airflow limitation and diagnosed prevalence of COPD based on symptoms and exacerbation history.
  • To understand the perspective of key opinion leaders around the current challenges with establishing the diagnosis options.
  • Detailed insights on various factors hampering disease diagnosis and other existing diagnostic challenges.

Frequently Asked Questions

1. What is the forecast period covered in the report?

The Chronic Obstructive Pulmonary Disease Epidemiology report for the 7MM covers the forecast period from 2024 to 2034, providing a projection of epidemiology dynamics and trends during this timeframe.

2. Out of all EU4 countries and the UK, which country had the highest population of Chronic Obstructive Pulmonary Disease (COPD) cases in 2023?

The highest cases of Chronic Obstructive Pulmonary Disease was found in the Germany among EU4 and the UK in 2023.

3. How is epidemiological data collected and analyzed for forecasting purposes?

Epidemiological data is collected through surveys, clinical studies, health records, and other sources. It is then analyzed to calculate disease rates, identify trends, and project future disease burdens using mathematical models.

4. Out of all 7MM countries, which country had the highest population of Chronic Obstructive Pulmonary Disease (COPD) cases in 2023?

The highest cases of Chronic Obstructive Pulmonary Disease were found in the US among the 7MM in 2023.

Table of Contents

1. Key Insights2. Report Introduction
3. Myotonic Dystrophy Epidemiology Overview at a Glance
3.1. Patient Share Distribution of Myotonic Dystrophy in 2020
3.2. Patient Share Distribution of Myotonic Dystrophy in 2034
4. Methodology of Myotonic Dystrophy Epidemiology5. Executive Summary of Myotonic Dystrophy6. Key Events
7. Disease Background and Overview
7.1. Introduction
7.2. Classification
7.3. Clinical Manifestations
7.4. Etiology
7.5. Pathophysiology
7.6. Diagnosis
7.6.1. Diagnostic Guidelines
7.6.1.1. Emqn: Best Practice Guidelines and Recommendations on the Molecular Diagnosis of Myotonic Dystrophy Types 1 and 2
7.6.1.2. Consensus-based Diagnostic Recommendations for Adults with Myotonic Dystrophy 1: Funded by the Myotonic Dystrophy Foundation
7.6.2. Differential Diagnosis
7.6.3. Diagnostic Algorithm
8. Patient Journey
9. Epidemiology and Patient Population
9.1. Key Findings
9.2. Assumptions and Rationale: The 7MM
9.2.1. Diagnosed Prevalent Cases of Myotonic Dystrophy
9.2.2. Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy
9.2.3. Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy Type-1
9.2.4. Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy
9.2.5. Comorbidity Associated with Diagnosed Prevalent Cases of Myotonic Dystrophy
9.3. Total Diagnosed Prevalent Cases of Myotonic Dystrophy in the 7MM
9.4. the United States
9.4.1. Diagnosed Prevalent Cases of Myotonic Dystrophy in the United States
9.4.2. Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in the United States
9.4.3. Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in the United States
9.4.4. Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in the United States
9.4.5. Comorbidity Associated with Diagnosed Prevalent Cases of Myotonic Dystrophy in the United States
9.5. EU4 and the UK
9.5.1. Germany
9.5.1.1. Diagnosed Prevalent Cases of Myotonic Dystrophy in Germany
9.5.1.2. Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Germany
9.5.1.3. Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in Germany
9.5.1.4. Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Germany
9.5.1.5. Comorbidity Associated with Diagnosed Prevalent Cases of Myotonic Dystrophy in Germany
9.5.2. France
9.5.2.1. Diagnosed Prevalent Cases of Myotonic Dystrophy in France
9.5.2.2. Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in France
9.5.2.3. Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in France
9.5.2.4. Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in France
9.5.2.5. Comorbidity Associated with Diagnosed Prevalent Cases of Myotonic Dystrophy in France
9.5.3. Italy
9.5.3.1. Diagnosed Prevalent Cases of Myotonic Dystrophy in Italy
9.5.3.2. Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Italy
9.5.3.3. Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in Italy
9.5.3.4. Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Italy
9.5.3.5. Comorbidity Associated with Diagnosed Prevalent Cases of Myotonic Dystrophy in Italy
9.5.4. Spain
9.5.4.1. Diagnosed Prevalent Cases of Myotonic Dystrophy in Spain
9.5.4.2. Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Spain
9.5.4.3. Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in Spain
9.5.4.4. Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Spain
9.5.4.5. Comorbidity Associated with Diagnosed Prevalent Cases of Myotonic Dystrophy in Spain
9.5.5. the United Kingdom
9.5.5.1. Diagnosed Prevalent Cases of Myotonic Dystrophy in the UK
9.5.5.2. Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in the UK
9.5.5.3. Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in the UK
9.5.5.4. Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in the UK
9.5.5.5. Comorbidity Associated with Diagnosed Prevalent Cases of Myotonic Dystrophy in the UK
9.6. Japan
9.6.1. Diagnosed Prevalent Cases of Myotonic Dystrophy in Japan
9.6.2. Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Japan
9.6.3. Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in Japan
9.6.4. Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Japan
9.6.5. Comorbidity Associated with Diagnosed Prevalent Cases of Myotonic Dystrophy in Japan
10. Key Opinion Leaders’ Views
11. Appendix
11.1. Bibliography
11.2. Acronyms and Abbreviations
11.3. Report Methodology
12. Publisher Capabilities13. Disclaimer14. About the Publisher
List of Tables
Table 1: Summary of Market and Epidemiology (2020-2034)
Table 2: Key Events for Myotonic Dystrophy
Table 3: Correlation of CTG Repeat Size and Clinical Subtype of Myotonic Dystrophy 1
Table 4: Genetics of Myotonic Dystrophy 1 Versus Myotonic Dystrophy 2
Table 5: Postulated Pathomechanisms
Table 6: Reporting Guidelines for Myotonic Dystrophy 1
Table 7: Diagnosed Prevalent Cases of Myotonic Dystrophy in the 7MM (2020-2034)
Table 8: Diagnosed Prevalent Cases of Myotonic Dystrophy in the United States (2020-2034)
Table 9: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in the United States (2020-2034)
Table 11: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in the United States (2020-2034)
Table 12: Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in the United States (2020-2034)
Table 13: Comorbidity Associated With Diagnosed Prevalent Cases of Myotonic Dystrophy in the United States (2020-2034)
Table 14: Diagnosed Prevalent Cases of Myotonic Dystrophy in EU4 and the UK (2020-2034)
Table 15: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in EU4 and the UK (2020-2034)
Table 16: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in EU4 and the UK (2020-2034)
Table 17: Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in EU4 and the UK (2020-2034)
Table 18: Comorbidity Associated With Diagnosed Prevalent Cases of Myotonic Dystrophy in EU4 and the UK (2020-2034)
Table 19: Diagnosed Prevalent Cases of Myotonic Dystrophy in Germany (2020-2034)
Table 20: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Germany (2020-2034)
Table 21: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in Germany (2020-2034)
Table 22: Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Germany (2020-2034)
Table 23: Comorbidity Associated With Diagnosed Prevalent Cases of Myotonic Dystrophy in Germany (2020-2034)
Table 24: Diagnosed Prevalent Cases of Myotonic Dystrophy in France (2020-2034)
Table 25: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in France (2020-2034)
Table 26: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in France (2020-2034)
Table 27: Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in France (2020-2034)
Table 28: Comorbidity Associated With Diagnosed Prevalent Cases of Myotonic Dystrophy in France (2020-2034)
Table 29: Diagnosed Prevalent Cases of Myotonic Dystrophy in Italy (2020-2034)
Table 30: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Italy (2020-2034)
Table 31: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in Italy (2020-2034)
Table 32: Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Italy (2020-2034)
Table 33: Comorbidity Associated With Diagnosed Prevalent Cases of Myotonic Dystrophy in Italy (2020-2034)
Table 34: Diagnosed Prevalent Cases of Myotonic Dystrophy in Spain (2020-2034)
Table 35: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Spain (2020-2034)
Table 36: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in Spain (2020-2034)
Table 37: Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Spain (2020-2034)
Table 38: Comorbidity Associated With Diagnosed Prevalent Cases of Myotonic Dystrophy in Spain (2020-2034)
Table 39: Diagnosed Prevalent Cases of Myotonic Dystrophy in the UK (2020-2034)
Table 40: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in the UK (2020-2034)
Table 41: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in the UK (2020-2034)
Table 42: Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in the UK (2020-2034)
Table 43: Comorbidity Associated With Diagnosed Prevalent Cases of Myotonic Dystrophy in the UK (2020-2034)
Table 44: Diagnosed Prevalent Cases of Myotonic Dystrophy in Japan (2020-2034)
Table 45: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Japan (2020-2034)
Table 46: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in Japan (2020-2034)
Table 47: Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Japan (2020-2034)
Table 48: Comorbidity Associated With Diagnosed Prevalent Cases of Myotonic Dystrophy in Japan (2020-2034)
List of Figures
Figure 1: Classification of Myotonic Dystrophy
Figure 2: Symptoms Associated With Myotonic Dystrophy
Figure 3: Postulated Pathomechanisms of Myotonic Dystrophy
Figure 4: Molecular Diagnostic Tests in Myotonic Dystrophy1
Figure 5: Molecular Diagnostic Tests in Myotonic Dystrophy 2
Figure 6: Panel Showing Muscle Histology in Myotonic Dystrophy 1 and Myotonic Dystrophy 2
Figure 7: Diagnostic Algorithm of Myotonic Dystrophy
Figure 8: Patient Journey of Myotonic Dystrophy
Figure 9: Diagnosed Prevalent Cases of Myotonic Dystrophy in the 7MM (2020-2034)
Figure 10: Diagnosed Prevalent Cases of Myotonic Dystrophy in the United States (2020-2034)
Figure 11: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in the United States (2020-2034)
Figure 12: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in the United States (2020-2034)
Figure 13: Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in the United States (2020-2034)
Figure 14: Comorbidity Associated With Diagnosed Prevalent Cases of Myotonic Dystrophy in the United States (2020-2034)
Figure 15: Diagnosed Prevalent Cases of Myotonic Dystrophy in EU4 and the UK (2020-2034)
Figure 16: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in EU4 and the UK (2020-2034)
Figure 17: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in EU4 and the UK (2020-2034)
Figure 18: Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in EU4 and the UK (2020-2034)
Figure 19: Comorbidity Associated With Diagnosed Prevalent Cases of Myotonic Dystrophy in EU4 and the UK (2020-2034)
Figure 20: Diagnosed Prevalent Cases of Myotonic Dystrophy in Germany (2020-2034)
Figure 21: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Germany (2020-2034)
Figure 22: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in Germany (2020-2034)
Figure 23: Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Germany (2020-2034)
Figure 24: Comorbidity Associated With Diagnosed Prevalent Cases of Myotonic Dystrophy in Germany (2020-2034)
Figure 25: Diagnosed Prevalent Cases of Myotonic Dystrophy in France (2020-2034)
Figure 26: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in France (2020-2034)
Figure 27: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in France (2020-2034)
Figure 28: Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in France (2020-2034)
Figure 29: Comorbidity Associated With Diagnosed Prevalent Cases of Myotonic Dystrophy in France (2020-2034)
Figure 30: Diagnosed Prevalent Cases of Myotonic Dystrophy in Italy (2020-2034)
Figure 31: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Italy (2020-2034)
Figure 32: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in Italy (2020-2034)
Figure 33: Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Italy (2020-2034)
Figure 34: Comorbidity Associated With Diagnosed Prevalent Cases of Myotonic Dystrophy in Italy (2020-2034)
Figure 35: Diagnosed Prevalent Cases of Myotonic Dystrophy in Spain (2020-2034)
Figure 36: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Spain (2020-2034)
Figure 37: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in Spain (2020-2034)
Figure 38: Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Spain (2020-2034)
Figure 39: Comorbidity Associated With Diagnosed Prevalent Cases of Myotonic Dystrophy in Spain (2020-2034)
Figure 40: Diagnosed Prevalent Cases of Myotonic Dystrophy in the UK (2020-2034)
Figure 41: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in the UK (2020-2034)
Figure 42: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in the UK (2020-2034)
Figure 43: Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in the UK (2020-2034)
Figure 44: Comorbidity Associated With Diagnosed Prevalent Cases of Myotonic Dystrophy in the UK (2020-2034)
Figure 45: Diagnosed Prevalent Cases of Myotonic Dystrophy in Japan (2020-2034)
Figure 46: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Japan (2020-2034)
Figure 47: Type-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy 1 in Japan (2020-2034)
Figure 48: Age-Specific Diagnosed Prevalent Cases of Myotonic Dystrophy in Japan (2020-2034)
Figure 49: Comorbidity Associated With Diagnosed Prevalent Cases of Myotonic Dystrophy in Japan (2020-2034)