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Predicting Heart Failure Outcomes With Biomarkers and Imaging

NCT07332520 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 4000

Last updated 2026-01-27

No results posted yet for this study

Summary

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).

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)

Sponsors & Collaborators

  • Xinjiang Medical University

    lead OTHER

Principal Investigators

  • Xiang Xie, PhD · First Affiliated Hospital of Xinjiang Medical University

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2012-01-01
Primary Completion
2024-12-31
Completion
2025-01-31

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07332520 on ClinicalTrials.gov