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OpenTrials
Completed

NCT Number: NCT06070506

Heart Failure With Improved Ejection Fraction and Deep Learning

The aim of this study was to design a deep learning-based trained model to assist in HFimpEF diagnosis.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Yihui Kong

Harbin, Heilongjiang, 150000, China

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Age >18 years.
  • The diagnostic criteria of HF follows the 2018 Chinese Guidelines for the Diagnosis and Treatment of Heart Failure, having symptoms of dyspnea, fatigue or decreased activity tolerance, having signs of fluid retention (such as pulmonary congestion and peripheral edema), having echocardiogram abnormalities in cardiac structure and/or function, showing elevated natriuretic peptide levels (BNP>35 ng/L or/and N-terminal pro-BNP >125 ng/L).
  • Have reviewing echocardiography after discharge.

Exclusion criteria

  • Patients with hypertrophic, restrictive, or invasive cardiomyopathy and congenital or rheumatic heart disease.
  • Patients with heart transplantation during follow-up.

Treatment and study plan

Primary outcomes

  1. change of left ventricular ejection fraction

    Time frame: 3 months

    left ventricular ejection fraction value in millimeters

Secondary outcomes

  1. change of clinical predictor of EF improvement

    Time frame: 3 months

    weight in kilograms, height in meters(weight and height will be combined to report BMI in kg/m^2)

  2. the independent clinical predictor of HFimpEF

    Time frame: 3 months

    prealbumin in mg/L

Sponsors and collaborators

Lead sponsor

Yihui Kong

Other

Registry information

Official study title

Deep Learning-Based Prediction Model of Heart Failure With Improved Ejection Fraction

Important dates

Study start
2022
Primary completion
2022
Study completion
2023
First posted
Oct 6, 2023
Registry last updated
Oct 11, 2023

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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