Heart failure & cardiomyopathies
Artificial Intelligence–Enhanced Electrocardiography Identifies Patients With Normal Ejection Fraction at Risk of Worse Outcomes
Main finding · All-cause mortalityResult — go to the resultHazard ratio 1.64 95% CI 1.55–1.73Authors' conclusion
FP patients were more likely than TNs to have echocardiographic abnormalities with 97% of exams showing an abnormality. FP patients had higher mortality rates, especially when their echocardiograms also had an abnormality
Study context
- Population
- Patients with transthoracic echocardiography and electrocardiogram (ECG)
- Participants
- 100,586 patients
- Exposure
- AI-ECG false positives vs true negatives
- Outcome
- Echocardiographic characteristics and all-cause mortality in FP patients
- Follow-up
- Median 2.7 years
Main finding
All-cause mortality
Hazard ratio
1.64
95% CI 1.55–1.73
FPvs TN
HR 1.64 (95% CI 1.55–1.73)
As reported in the abstract
- Echocardiographic abnormality present in FP
- 97%
Observational data: associations, not effects.
Further findings
Group distribution
Mortality by echocardiography result
- Age and sex-adjusted mortality higher in FP with abnormal echo than FP with normal echo and true negatives (TN) regardless of echo result
- FP with normal echo had comparable mortality risk to TN with abnormal echo
Original publication
Artificial Intelligence–Enhanced Electrocardiography Identifies Patients With Normal Ejection Fraction at Risk of Worse Outcomes. JACC Adv. Published 28 August 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →