Status:
COMPLETED
Heart Failure With Improved Ejection Fraction and Deep Learning
Lead Sponsor:
Yihui Kong
Conditions:
Heart Failure
Diagnosis
Eligibility:
All Genders
18+ years
Brief Summary
The aim of this study was to design a deep learning-based trained model to assist in HFimpEF diagnosis.
Eligibility Criteria
Inclusion
- 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
- Patients with hypertrophic, restrictive, or invasive cardiomyopathy and congenital or rheumatic heart disease.
- Patients with heart transplantation during follow-up.
Key Trial Info
Start Date :
March 1 2022
Trial Type :
OBSERVATIONAL
Allocation :
ACTUAL
End Date :
May 20 2023
Estimated Enrollment :
422 Patients enrolled
Trial Details
Trial ID
NCT06070506
Start Date
March 1 2022
End Date
May 20 2023
Last Update
October 11 2023
Active Locations (1)
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1
Yihui Kong
Harbin, Heilongjiang, China, 150000