Artificial Intelligence in Detecting Cardiac Function
Korotkoff Sounds Dynamically Reflect Changes in Cardiac Function Based on Deep Learning Methods: A Prospective, Multicenter Study
1 other identifier
observational
685
1 country
1
Brief Summary
The Korotkoff Sounds(KS), which have been in use for over a century, are widely regarded as the gold standard for measuring blood pressure. Furthermore, their potential extends beyond diagnosis and treatment of cardiovascular disease; however, research on the KS remains limited. Given the increasing incidence of heart failure (HF), there is a pressing need for a rapid and convenient prehospital screening method. In this study, we propose employing deep learning (DL) techniques to explore the feasibility of utilizing KS methodology in predicting functional changes in cardiac ejection fraction (LVEF) as an indicator of cardiac dysfunction.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jun 2024
1 active site
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Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 31, 2024
CompletedStudy Start
First participant enrolled
June 1, 2024
CompletedFirst Posted
Study publicly available on registry
June 5, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2025
CompletedFebruary 17, 2025
February 1, 2025
7 months
May 31, 2024
February 14, 2025
Conditions
Outcome Measures
Primary Outcomes (1)
Cardiac Dysfunction
The pathophysiology of heart failure encompasses a multifaceted clinical syndrome: 1)Cardiac structural and/or functional abnormalities resulting in impaired ventricular diastolic function and/or systolic ejection capacity;2)Corresponding clinical manifestations indicative of heart failure; 3)Typically accompanied by elevated levels of beneficial natriuretic peptide(BNP), as well as pulmonary or systemic congestion suggestive of cardiac origin on imaging studies, or objective evidence of increased ventricular filling pressure on hemodynamic assessments.4)According to the classification of left ventricular ejection fraction (LVEF) based on cardiac ultrasound, heart failure can be categorized into four types: reduced ejection fraction heart failure (HFrEF), improving ejection fraction heart failure (HFimpEF), moderately reduced ejection fraction heart failure (HFmrEF), and retained ejection fraction heart failure (HFpEF).
Evaluation LVEF:Cardiac ultrasound was performed 72 hours prior to and following anti-Acute Heart Failure treatment.
Study Arms (2)
Heart Failure
Patients with stable heart failure were defined as those with structural heart disease and a history of heart failure episodes but no current symptoms or signs of heart failure after receiving anti-heart failure treatment during hospitalization, such as decreased exercise tolerance (dyspnea, fatigue), fluid retention, etc. Additionally, according to the 2024 Chinese guidelines for the diagnosis and treatment of heart failure consensus, patients eligible for this study will be classified based on ejection fraction into the following categories: * Reduced ejection fraction heart failure (HFrEF): HFrEF is defined by LVEF \< 40% * Preserved ejection fraction heart failure (HFpEF): HFpEF is defined by LVEF ≥ 50% * Heart failure with mid-range ejection fraction (HFmrEF): HFmrEF refers to heart failure characterized by LVEF between 40% and 49%.
Normal
There were no structural or functional abnormalities in the cardiac system, and no symptoms or signs of heart failure were observed. Alternatively, the patient has developed organic heart disease without exhibiting any symptoms or signs of heart failure.
Eligibility Criteria
Patients who were admitted to the Cardiology Department of the aforementioned four Groups (The Fourth Affiliated Hospital of School of Medicine of Zhejiang University, Zhejiang Taizhou Hospital, Quzhou People\&#39;s Hospital, Zhejiang Quhua Hospital) between June 2024 and December 2024, and successfully underwent echocardiographic examinations.
You may qualify if:
- Patients who were admitted to the Cardiology Department of the aforementioned four Groups (The Fourth Affiliated Hospital of School of Medicine of Zhejiang University, Zhejiang Taizhou Hospital, Quzhou People\&#39;s Hospital, Zhejiang Quhua Hospital)between June 2024 and December 2024, and successfully underwent echocardiographic examinations.
- Individuals aged between 18 and 90 years with a resting heart rate ranging from 60 to 100 beats per minute.
- Demonstrating good compliance, capable of cooperating in completing multiple blood pressure measurements within 72 hours following the completion of echocardiography.
- Willingness to voluntarily participate in the study.
You may not qualify if:
- Patients with acute decompensated heart failure, acute myocardial infarction, atrioventricular block;
- Cerebral hemorrhage, severe infection, active digestive tract ulcer, severe hematological diseases, severe liver and kidney dysfunction or other serious medical or surgical conditions;
- Pregnant or lactating women;
- Patients with mental illness;
- Individuals who have participated in other clinical trials within the past 3 months.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
The Fourth Hospital Affiliated to Zhejiang University School of Medicine
Yiwu, Zhejiang, 322000, China
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Sixiang Jia, MD
The fourth hospital affiliated to zhejiang university school of medicine
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 31, 2024
First Posted
June 5, 2024
Study Start
June 1, 2024
Primary Completion
December 31, 2024
Study Completion
December 31, 2025
Last Updated
February 17, 2025
Record last verified: 2025-02
Data Sharing
- IPD Sharing
- Will not share