Correlation and Prognostic Value of Body Composition, Cardiac Structure and Function in Patients With Different Heart Failure Subtypes

June 1, 2026 updated by: Beijing Anzhen Hospital

Study on the Correlation and Prognostic Value of Body Composition, Cardiac Structure and Function in Patients With Different Subtypes of Heart Failure

Heart failure (HF) refers to impaired cardiac function caused by various heart diseases. Patients commonly present with dyspnea, fatigue, edema and other symptoms, ranking among the leading causes of death from cardiovascular diseases worldwide. According to World Health Organization statistics, more than 26 million people globally suffer from heart failure. The rising prevalence of aging population, hypertension, diabetes and other comorbidities continues to expand the patient population, imposing a heavy burden on families and society.

Body mass index (BMI) was traditionally adopted to assess the correlation between obesity and heart failure, yet this method has inherent limitations. The obesity paradox indicates that obese heart failure patients may achieve better recovery outcomes than those with normal weight. Additionally, BMI fails to differentiate the impacts of adipose tissues distributed in distinct anatomical sites. Advances in imaging technology have enabled accurate quantification of regional fat deposits, including epicardial adipose tissue (EAT), subcutaneous adipose tissue (SAT) and intramuscular adipose tissue (IMAT).

Domestic and international studies have verified that fat distribution exerts greater influence than total fat volume. Directly adjacent to the myocardium, EAT may secrete inflammatory mediators and induce myocardial injury. SAT produces protective bioactive substances, while its effects vary across heart failure subtypes and remain inconclusive. IMAT is correlated with reduced physical activity and poor clinical prognosis. Nevertheless, most existing researches focus solely on single-site fat tissue or specific heart failure types. Comprehensive combined analysis of cardiac, somatic and muscular adipose tissues, as well as systematic comparison among diverse heart failure subtypes, remains insufficient.

This study intends to quantify the three types of adipose tissues simultaneously, combined with cardiac structural and functional examinations, to explore their associations with heart failure. The findings are expected to facilitate precise risk stratification and individualized therapeutic strategy formulation for clinicians.

Study Overview

Status

Not yet recruiting

Conditions

Study Type

Observational

Enrollment (Estimated)

1000

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Retrospectively collected patients who underwent coronary CTA at Beijing Anzhen Hospital, Capital Medical University, between April 2018 and March 2025.

Description

Inclusion Criteria:

  1. Meeting the diagnostic criteria for heart failure set forth in the 2022 ESC Guidelines: presence of typical symptoms (e.g., dyspnea, fatigue, edema, etc.) and signs (e.g., pulmonary rales, jugular venous distention, third heart sound, etc.) of heart failure;
  2. Undergoing both coronary computed tomography angiography (CCTA) and non-contrast chest computed tomography (CT), with image quality meeting the requirements for quantitative analysis;
  3. Age ≥ 18 years, with complete clinical and follow-up data, and ability to cooperate with imaging examinations and follow-up assessments.

Exclusion Criteria:

  1. Acute myocardial infarction occurring within 3 months prior to the imaging examination;
  2. Other definite structural heart diseases, including congenital heart disease, myocarditis, pericardial disease, severe valvular heart disease, etc.;
  3. End-stage organ diseases (hepatic/renal/pulmonary failure, active malignancy);
  4. Unmeasurable scan images (e.g., due to pericardial effusion or artifacts);
  5. Incomplete or missing clinical data.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Rate of Major Adverse Cardiovascular Events (MACE)
Time Frame: The follow-up was conducted within one month after data collection was completed.
Major adverse cardiovascular events (MACE), defined as the composite endpoint of all-cause death, non-fatal acute myocardial infarction, and non-fatal stroke.
The follow-up was conducted within one month after data collection was completed.
Proportion of Participants Experiencing Major Adverse Cardiovascular Events (MACE)
Time Frame: Follow-up conducted within one month after data collection was completed.
Composite endpoint of all-cause death, non-fatal acute myocardial infarction, and non-fatal stroke.
Follow-up conducted within one month after data collection was completed.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

June 1, 2026

Primary Completion (Estimated)

June 1, 2028

Study Completion (Estimated)

June 1, 2028

Study Registration Dates

First Submitted

May 24, 2026

First Submitted That Met QC Criteria

May 24, 2026

First Posted (Actual)

June 1, 2026

Study Record Updates

Last Update Posted (Actual)

June 3, 2026

Last Update Submitted That Met QC Criteria

June 1, 2026

Last Verified

May 1, 2026

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • KS2026087

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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