Predicting Heart Failure Outcomes With Biomarkers and Imaging

This study aims to develop a better model to predict one-year risk of death in patients with heart failure. We will test whether combining information from routine blood tests (like NT-proBNP) and heart scans (measuring features like epicardial fat density) improves risk prediction compared to using either type of data alone. This is a retrospective study using existing medical records of patients treated for chronic heart failure at Xinjiang Medical University First Affiliated Hospital between 2012 and 2024. No new patient contact or interventions are involved. The goal is to enable more accurate, personalized risk assessment across different types of heart failure (HFrEF, HFmrEF, HFpEF).

NCT Number	NCT07332520
Lead Sponsor	Xinjiang Medical University
Conditions	Heart Failure, Heart Failure, Systolic, Heart Failure, Diastolic, Heart Failure With Reduced Ejection Fraction (HFrEF), Heart Failure With Preserved Ejection Fraction (HFPEF), Heart Failure With Mid-Range Ejection Fraction (HFmrEF)
Enrollment	4,000 participants
Start Date	2012-01-01
Primary Completion	2024-12-31 (estimated)
Study Completion	2025-01-31 (estimated)
Updated on ClinicalTrials.gov	2026-01-27