AI Predicts Heart Failure From E. C. G. 02/26/26
Welcome to Cardiology Today â Recorded February 26, 2026. This episode summarizes 5 key cardiology studies on topics like transthyretin cardiac amyloidosis and left ventricular ejection fraction. Key takeaway: AI Predicts Heart Failure From E. C. G..
Article Links:
Article 1: Colchicine in patients with chronic inflammatory cardiomyopathy: Rationale and design of the CMP-MYTHiC. (ESC heart failure)
Article 2: Prevalence and Prognostic Significance of Restriction Versus Systolic Dysfunction in Patients With Transthyretin and Light Chain Cardiac Amyloidosis. (Circulation. Heart failure)
Article 3: Artificial Intelligence-Enabled ECG Analysis to Predict Incident Heart Failure. (Circulation. Heart failure)
Article 4: Invasive Hemodynamic Exercise Response in Hemodynamically Significant Aortic Stenosis With Preserved Left Ventricular Ejection Fraction. (Circulation. Heart failure)
Article 5: Multimorbidity in Atrial Fibrillation: Impact on Outcomes. (Journal of the American Heart Association)
Full episode page: https://podcast.explainheart.com/podcast/ai-predicts-heart-failure-from-e-c-g-02-26-26/
đ Featured Articles
Article 1: Colchicine in patients with chronic inflammatory cardiomyopathy: Rationale and design of the CMP-MYTHiC.
Journal: ESC heart failure
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41730291
Summary: Chronic inflammatory cardiomyopathy, a sequela of acute myocarditis, is characterized by increased risk of ventricular arrhythmias, left ventricular systolic dysfunction, and heart failure. For this condition, when diagnosed non-invasively by cardiac magnetic resonance imaging or fluorodeoxyglucose-positron emission tomography, immunosuppressive therapy is not generally recommended. This highlights an important gap in therapeutic options for these patients.
Article 2: Prevalence and Prognostic Significance of Restriction Versus Systolic Dysfunction in Patients With Transthyretin and Light Chain Cardiac Amyloidosis.
Journal: Circulation. Heart failure
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41732853
Summary: A study analyzed 540 transthyretin cardiac amyloidosis and 280 light chain cardiac amyloidosis patients, challenging the traditional view of cardiac amyloidosis as solely a restrictive ventricular physiology with preserved systolic function. Results showed varied left ventricular phenotypes at diagnosis. These findings clarify the prevalence and clinical significance of left ventricular systolic dysfunction versus restrictive physiology, refining the understanding of cardiac amyloidosis.
Article 3: Artificial Intelligence-Enabled ECG Analysis to Predict Incident Heart Failure.
Journal: Circulation. Heart failure
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41730522
Summary: Researchers developed an artificial intelligence model, electrocardiogram-to-heart failure (ECG2HF), in 94636 patients to predict incident heart failure. The model demonstrated robust performance, achieving an area under the curve ranging from 0.81 to 0.84 for predicting heart failure within one year. When deployed, a positive ECG2HF result predicted one-year incident heart failure with 81 percent sensitivity and 80 percent specificity, and was independently associated with a two point two-fold increased risk of heart failure.
Article 4: Invasive Hemodynamic Exercise Response in Hemodynamically Significant Aortic Stenosis With Preserved Left Ventricular Ejection Fraction.
Journal: Circulation. Heart failure
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41730521
Summary: An observational study of 118 patients with asymptomatic discordant low-gradient aortic stenosis and preserved left ventricular ejection fraction described exercise hemodynamics. During exercise, these patients showed significant increases in mean aortic valve gradient from 35 plus or minus 14 mmHg at rest to 50 plus or minus 18 mmHg at peak exercise (P value less than 0.001). Pulmonary artery systolic pressure also significantly increased from 38 plus or minus 10 mmHg to 64 plus or minus 18 mmHg (P value less than 0.001), confirming severe aortic stenosis and exercise-induced pulmonary hypertension.
Article 5: Multimorbidity in Atrial Fibrillation: Impact on Outcomes.
Journal: Journal of the American Heart Association
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41733064
Summary: A cohort study of 19280 new-onset atrial fibrillation patients found 96 percent had at least one comorbidity. Each additional cardiometabolic condition increased the hazard ratio for death by 1.15, for ischemic stroke or transient ischemic attack by 1.13, and for heart failure hospitalization by 1.25. Other somatic conditions also raised the risk of death and heart failure hospitalization, while mental health conditions specifically increased the risk of death and heart failure hospitalization. These findings quantitatively demonstrate the significant negative impact of multimorbidity on outcomes in atrial fibrillation patients.
đ Transcript
Today’s date is February 26, 2026. Welcome to Cardiology Today. Here are the latest research findings.
Article number one. Colchicine in patients with chronic inflammatory cardiomyopathy: Rationale and design of the CMP-MYTHiC. Chronic inflammatory cardiomyopathy, a sequela of acute myocarditis, is characterized by increased risk of ventricular arrhythmias, left ventricular systolic dysfunction, and heart failure. For this condition, when diagnosed non-invasively by cardiac magnetic resonance imaging or fluorodeoxyglucose-positron emission tomography, immunosuppressive therapy is not generally recommended. This highlights an important gap in therapeutic options for these patients.
Article number two. Prevalence and Prognostic Significance of Restriction Versus Systolic Dysfunction in Patients With Transthyretin and Light Chain Cardiac Amyloidosis. A study analyzed 540 transthyretin cardiac amyloidosis and 280 light chain cardiac amyloidosis patients, challenging the traditional view of cardiac amyloidosis as solely a restrictive ventricular physiology with preserved systolic function. Results showed varied left ventricular phenotypes at diagnosis. These findings clarify the prevalence and clinical significance of left ventricular systolic dysfunction versus restrictive physiology, refining the understanding of cardiac amyloidosis.
Article number three. Artificial Intelligence-Enabled ECG Analysis to Predict Incident Heart Failure. Researchers developed an artificial intelligence model, electrocardiogram-to-heart failure (ECG2HF), in 94636 patients to predict incident heart failure. The model demonstrated robust performance, achieving an area under the curve ranging from 0.81 to 0.84 for predicting heart failure within one year. When deployed, a positive ECG2HF result predicted one-year incident heart failure with 81 percent sensitivity and 80 percent specificity, and was independently associated with a two point two-fold increased risk of heart failure.
Article number four. Invasive Hemodynamic Exercise Response in Hemodynamically Significant Aortic Stenosis With Preserved Left Ventricular Ejection Fraction. An observational study of 118 patients with asymptomatic discordant low-gradient aortic stenosis and preserved left ventricular ejection fraction described exercise hemodynamics. During exercise, these patients showed significant increases in mean aortic valve gradient from 35 plus or minus 14 mmHg at rest to 50 plus or minus 18 mmHg at peak exercise (P value less than 0.001). Pulmonary artery systolic pressure also significantly increased from 38 plus or minus 10 mmHg to 64 plus or minus 18 mmHg (P value less than 0.001), confirming severe aortic stenosis and exercise-induced pulmonary hypertension.
Article number five. Multimorbidity in Atrial Fibrillation: Impact on Outcomes. A cohort study of 19280 new-onset atrial fibrillation patients found 96 percent had at least one comorbidity. Each additional cardiometabolic condition increased the hazard ratio for death by 1.15, for ischemic stroke or transient ischemic attack by 1.13, and for heart failure hospitalization by 1.25. Other somatic conditions also raised the risk of death and heart failure hospitalization, while mental health conditions specifically increased the risk of death and heart failure hospitalization. These findings quantitatively demonstrate the significant negative impact of multimorbidity on outcomes in atrial fibrillation patients.
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đ Keywords
transthyretin cardiac amyloidosis, left ventricular ejection fraction, left ventricular systolic dysfunction, electrocardiogram, exercise hemodynamics, atrial fibrillation, heart failure prediction, cardiometabolic conditions, deep learning, heart failure hospitalization, low-gradient aortic stenosis, cardiac amyloidosis, myocarditis, colchicine, multimorbidity, restrictive cardiomyopathy, heart failure, pulmonary hypertension, aortic stenosis, ventricular arrhythmias, light chain cardiac amyloidosis, machine learning, chronic inflammatory cardiomyopathy, artificial intelligence, ischemic stroke, mortality.
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Concise summaries of cardiovascular research for professionals.
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