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Chronic Heart Failure - Epidemiology Forecast - 2034

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    Report

  • 165 Pages
  • October 2024
  • Region: Global
  • DelveInsight
  • ID: 5525104
UP TO OFF until Dec 31st 2024

Key Highlights

  • In 2023, there were around nearly 20,364,270 diagnosed prevalent cases of CHF in the 7MM, which is expected to rise by 2034, and the US had the highest number of diagnosed prevalent cases of CHF among the 7MM.
  • Germany had the highest number of diagnosed prevalent cases of CHF in the EU4 countries, followed by Italy, whereas France had the lowest number of cases.
  • When it comes to age-specific cases of CHF, the age group between more than 60 years had the highest number of cases, accounting for nearly 903,650 cases in the UK, followed by 40-59 years, and the least number of cases were observed with people less than 39 years.
This report delivers an in-depth understanding of CHF, historical and forecasted epidemiology 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 Heart Failure (CHF) Understanding

CHF Overview

CHF commonly referred to as heart failure is a chronic progressive condition in which the heart cannot generate a cardiac output sufficient to meet the body’s demands without increasing diastolic pressure resulting from any cardiac disease compromising ventricular systolic or diastolic function. The common term for describing heart failure is based on left ventricular ejection fraction. Also, heart failure with normal LVEF (≥50%) is known as heart failure with preserved ejection fraction and heart failure with decreased LVEF (< 40%) as heart failure with reduced ejection fraction. Heart failure with a 40-49% middle range is known as Heart Failure with mid-range Ejection Fraction (HFmrEF). The signs and symptoms of CHF are subtle at the initial stage, and these are generally misguided for common signs of aging. The common symptoms of CHF are because of extra fluid or congestion, which leads to vessel blocking. The starting of the congestion in the lungs is forwarded to the different body parts.

CHF Diagnosis

The assessment for CHF is achieved using numerous parameters, like physical testing of the patient to know the occurrence of clinical symptoms of heart failure, various blood tests, urine analysis, fasting glucose, and lipid profile, metabolic profiling for serum electrolytes, and thyroid hormone estimation. Apart from these routine tests, different imaging techniques like chest X-ray, ECG, MRI, and others are used for diagnosing CHF.

The patient’s journey begins with the onset of symptoms like breathlessness at night, congestion of the lungs, difficulty in walking, and edema in the legs. Following an initial visit with a general practitioner, during which the patient underwent a complete physical examination, and the results revealed a few alarming findings related to CHF, the patient was referred to a cardiologist. Further, the cardiologist will immediately recommend a blood examination, assessment of brain natriuretic peptide (BNP) or N-terminal pro-b-type BNP (NT-proBNP), and ECG is prescribed to diagnose heart failure. If the test result shows an increased BNP level and an abnormal ECG - the possibility of heart failure is confirmed. Once heart failure is confirmed an echocardiogram is done to measure the ejection fraction, which helps in identifying causes and stages of heart failure, and also helps in undertaking proper treatment decisions.

Chronic Heart Failure (CHF) Epidemiology

The CHF epidemiology chapter in the report provides historical as well as forecasted epidemiology segmented by total diagnosed prevalent cases of heart failure, gender-specific cases of heart failure, ejection fraction-specific cases of heart failure, NYHA class-specific cases of heart failure, type-specific cases of heart Failure, and age-specific cases of heart failure in the 7MM covering the US, EU4 (Germany, France, Italy, Spain) and the UK, and Japan from 2020 to 2034.
  • As per estimates, the total diagnosed prevalent cases of heart failure in the 7MM comprised nearly 20,364,270 cases in 2023 and are projected to increase during the study period of 2020-2034.
  • The US had the highest number of diagnosed prevalent cases of heart failure in 2023, with approximately 7,075,620 reported cases.
  • In 2023, there were nearly 4,346,790 patients affected with Heart Failure with preserved Ejection Fraction (HFpEF), 2,011,840 patients with Heart Failure with reduced Ejection Fraction (HFrEF), and 7,161,000 with Heart Failure with medium Ejection Fraction (HFmEF) in the US.
  • In 2023, the highest number of heart failure cases were in the age group of ≥60 comprising nearly 4,444,230 cases followed by the age group of 40-59 comprising nearly 634,900, while the least number of cases were in the age group of less than 39 comprising nearly 211,630 in Japan.

CHF Report Insights

CHF Report Insights

  • Patient Population
  • Country-wise Epidemiology Distribution

CHF Report Key Strengths

  • Eleven Years Forecast
  • 7MM Coverage
  • AKI Epidemiology Segmentation

FAQs

  • What are the disease risks, burdens, and unmet needs of CHF? What will be the growth opportunities across the 7MM concerning the patient population with CHF?
  • What is the historical and forecasted CHF patient pool in the US, EU4 (Germany, France, Italy, and Spain) the UK, and Japan?

Reasons to Buy

  • Insights on patient burden/disease prevalence, evolution in diagnosis, and factors contributing to the change in the epidemiology of the disease during the forecast years.
  • To understand Key Opinion Leaders’ perspectives around the accessibility, acceptability, and compliance-related challenges of existing treatment to overcome barriers in the future.
  • Detailed insights on various factors hampering disease diagnosis and other existing diagnostic challenges.

Table of Contents

1. Key Insights2. Report Introduction3. Executive Summary of Chf
4. Chf Overview at a Glance
4.1. Patient Share (%) Distribution of Chf in 2020 in the 7MM
4.2. Patient Share (%) Distribution of Chf in 2034 in the 7MM
5. Epidemiology Forecast Methodology
6. Disease Background and Overview
6.1. Introduction
6.2. Causes of Chf
6.3. Signs and Symptoms
6.4. Stages of Heart Failure
6.5. Classification of Heart Failure
6.6. Common Pathophysiologic Mechanisms in Heart Failure
6.7. Biomarkers for the Heart Failure
6.8. Diagnosis
6.8.1. Differential Diagnosis
7. Diagnostic Guidelines
8. Epidemiology and Patient Population
8.1. Key Findings
8.2. Assumptions and Rationale
8.3. Total Diagnosed Prevalent Cases of Heart Failure in the 7MM
8.4. the United States
8.4.1. Total Diagnosed Prevalent Cases of Heart Failure in the United States
8.4.2. Gender-Specific Cases of Heart Failure in the United States
8.4.3. Ejection Fraction-Specific Cases of Heart Failure in the United States
8.4.4. Nyha Class-Specific Cases of Heart Failure in the United States
8.4.5. Type-Specific Cases of Heart Failure in the United States
8.4.6. Age-Specific Cases of Heart Failure in the United States
8.5. EU4 and the UK
8.5.1. Total Diagnosed Prevalent Cases of Heart Failure in EU4 and the UK
8.5.2. Gender-Specific Cases of Heart Failure in EU4 and the UK
8.5.3. Ejection Fraction-Specific Cases of Heart Failure in EU4 and the UK
8.5.4. Nyha Class-Specific Cases of Heart Failure in EU4 and the UK
8.5.5. Type-Specific Cases of Heart Failure in EU4 and the UK
8.5.6. Age-Specific Cases of Heart Failure in EU4 and the UK
8.6. Japan
8.6.1. Total Diagnosed Prevalent Cases of Heart Failure in Japan
8.6.2. Gender-Specific Cases of Heart Failure in Japan
8.6.3. Ejection Fraction-Specific Cases of Heart Failure in Japan
8.6.4. Nyha Class-Specific Cases of Heart Failure in Japan
8.6.5. Type-Specific Cases of Heart Failure in Japan
8.6.6. Age-Specific Cases of Heart Failure in Japan
9. Appendix
9.1. Bibliography
9.2. Report Methodology
10. Publisher Capabilities11. Disclaimer12. About the Publisher
List of Tables
Table 1: Summary of CHF Epidemiology (2020-2034)
Table 2: Heart Failure Classification based on the New York Heart Association
Table 3: Heart Failure Classification based on the New York Heart Association
Table 4: Heart Failure Classification based on the American College of Cardiology
Table 5: Shift along the Frank-Starling Curve and Its Causes
Table 6: Characteristics of Other Biomarkers for HF
Table 7: Different test for the estimation of the HF
Table 8: Total Diagnosed Prevalent Cases of Heart Failure in the 7MM (2020-2034)
Table 9: Total Diagnosed Prevalent Cases of Heart Failure in the US (2020-2034)
Table 10: Gender-specific Cases of Heart Failure in the US (2020-2034)
Table 11: Ejection Fraction-specific Cases of Heart Failure in the US (2020-2034)
Table 12: NYHA Class-specific Cases of Heart Failure in the US (2020-2034)
Table 13: Type-specific Cases of Heart Failure in the US (2020-2034)
Table 14: Age-specific Cases of Heart Failure in the US (2020-2034)
Table 15: Total Diagnosed Prevalent Cases of Heart Failure in EU4 and the UK (2020-2034)
Table 16: Gender-specific Cases of Heart Failure in the US (2020-2034)
Table 17: Ejection Fraction-specific Cases of Heart Failure in EU4 and the UK in ‘000s (2020-2034)
Table 18: NYHA Class-specific Cases of Heart Failure in EU4 and the UK in ‘000s (2020-2034)
Table 19: Type-specific Cases of Heart Failure in EU4 and the UK in ‘000s (2020-2034)
Table 20: Age-specific Cases of Heart Failure in EU4 and the UK in ‘000s (2020-2034)
Table 21: Total Diagnosed Prevalent Cases of Heart Failure in Japan (2020-2034)
Table 22: Gender-specific Cases of Heart Failure in Japan (2020-2034)
Table 23: Ejection Fraction-specific Cases of Heart Failure in Japan (2020-2034)
Table 24: NYHA Class-specific Cases of Heart Failure in Japan (2020-2034)
Table 25: Type-specific Cases of Heart Failure in Japan (2020-2034)
Table 26: Age-specific Cases of Heart Failure in Japan (2020-2034)
List of Figures
Figure 1: Different Conditions in HF
Figure 2: Stages of HF
Figure 3: Symptoms of HF
Figure 4: Different Classes of Drug
Figure 5: Total Diagnosed Prevalent Cases of Heart Failure in the 7MM (2020-2034)
Figure 6: Total Diagnosed Prevalent Cases of Heart Failure in the US (2020-2034)
Figure 7: Gender-Specific Cases of Heart Failure in the US (2020-2034)
Figure 8: Ejection Fraction-specific Cases of Heart Failure in the US (2020-2034)
Figure 9: NYHA Class-specific Cases of Heart Failure in the US (2020-2034)
Figure 10: Type-specific Cases of Heart Failure in the US (2020-2034)
Figure 11: Age-specific Cases of Heart Failure in the US (2020-2034)
Figure 12: Total Diagnosed Prevalent Cases of Heart Failure in EU4 and the UK (2020-2034)
Figure 13: Gender-Specific Cases of Heart Failure in EU4 and the UK (2020-2034)
Figure 14: Ejection Fraction -Specific Cases of Heart Failure in EU4 and the UK (2020-2034)
Figure 15: NYHA Class-specific Cases of Heart Failure in EU4 and the UK (2020-2034)
Figure 16: Type-specific Cases of Heart Failure in EU4 and The UK (2020-2034)
Figure 17: Age-specific Cases of Heart Failure in EU4 and the UK (2020-2034)
Figure 18: Total Diagnosed Prevalent Cases of Heart Failure in Japan (2020-2034)
Figure 19: Gender-Specific Cases of Heart Failure in Japan (2020-2034)
Figure 20: Ejection Fraction-specific Cases of Heart Failure in Japan (2020-2034)
Figure 21: NYHA Class-Specific Cases of Heart Failure in Japan (2020-2034)
Figure 22: Type-specific Cases of Heart Failure in Japan (2020-2034)
Figure 23: Age-specific Cases of Heart Failure in Japan (2020-2034)