Left Ventricular Systolic Dysfunction (Disorder)
Conditions
Brief summary
This is a randomized controlled trial (RCT) to test a novel artificial intelligence (AI)-enabled electrocardiogram (ECG)-based screening tool for improving the diagnosis and management of left ventricular systolic dysfunction.
Interventions
Primary care clinicians in the intervention group had access to the report, which displayed whether the AI-ECG result was positive or negative.The system will send a message to corresponding physicians if positive finding.
Sponsors
National Defense Medical Center, Taiwan
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SCREENING
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
20 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Patients with EF\>50% or without Transesophageal Echocardiography (TEE)
Exclusion criteria
* Patients with a history of heart failure or an EF\<= 35%.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| New Diagnosis of Low Ejection Fraction(defined as ejection fraction ≤50%) | Within 30 days | Ejection fraction obtained by echocardiography |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| All cause mortality(death) | Within 30 days | After performing an electrocardiogram, the patient's survival is tracked. |
| Completion of an echocardiogram | Within 30 days | After performing the ECG examination, perform the echocardiogram examination |
Countries
Taiwan
Outcome results
None listed