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.
Age range
18 Years – 75 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Rate of Major Adverse Cardiovascular Events (MACE)
Timeframe: The follow-up was conducted within one month after data collection was completed.
Proportion of Participants Experiencing Major Adverse Cardiovascular Events (MACE)
Timeframe: Follow-up conducted within one month after data collection was completed.