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Listen "Machine Learning Predicts Q.T. Prolongation Better 10/26/25"
Episode Synopsis
Welcome to Cardiology Today – Recorded October 26, 2025. This episode summarizes 5 key cardiology studies on topics like Q. T. c. prolongation and interferon-gamma. Key takeaway: Machine Learning Predicts Q.T. Prolongation Better.
Article Links:
Article 1: Functional and Prognostic Implications of Different Iron Deficiency Definitions in Heart Failure: Insights From HEART-FID. (JACC. Heart failure)
Article 2: Proinflammatory and cytotoxic CD38+HLA-DR+ effector memory CD8+ T cells are peripherally expanded in human cardiac allograft vasculopathy. (American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons)
Article 3: Machine Learning-enabled Assessment of Risk for Drug-induced QT Prolongation at the Time of Prescribing. (Heart rhythm)
Article 4: Indexed Aortic Valve Calcium Volume by Computed Tomography Angiography in Patients With Aortic Stenosis: Results of an International Multicenter Cohort Study. (JACC. Cardiovascular imaging)
Article 5: Renal Function-Stratified Comparison of Complete vs Culprit-Only Revascularization in Older Patients With Myocardial Infarction and Multivessel Disease. (JACC. Cardiovascular interventions)
Full episode page: https://podcast.explainheart.com/podcast/machine-learning-predicts-q-t-prolongation-better-10-26-25/
Featured Articles
Article 1: Functional and Prognostic Implications of Different Iron Deficiency Definitions in Heart Failure: Insights From HEART-FID.
Journal: JACC. Heart failure
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41137844
Summary: The HEART-FID trial, the largest study on iron repletion in heart failure, aimed to clarify how various definitions of iron deficiency impact functional capacity, hemoglobin levels, and patient outcomes. This research systematically evaluated different circulating iron indices as diagnostic criteria and explored their utility in defining treatment targets. The study’s findings provide crucial information for optimizing iron repletion strategies and establishing precise diagnostic thresholds for iron deficiency in heart failure patients. This advancement will guide clinicians in identifying and treating iron deficiency more effectively.
Article 2: Proinflammatory and cytotoxic CD38+HLA-DR+ effector memory CD8+ T cells are peripherally expanded in human cardiac allograft vasculopathy.
Journal: American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41138970
Summary: This study utilized high dimensional analysis of peripheral blood mononuclear cells to identify specific immune cell populations involved in human cardiac allograft vasculopathy. Researchers discovered a peripheral expansion of proinflammatory and cytotoxic C. D. 38 positive H. L. A. -D. R. positive effector memory C. D. 8 positive T cells in heart transplant patients with high-grade cardiac allograft vasculopathy. This finding directly implicates these distinct T cell subsets in the interferon-gamma axis pathogenesis of cardiac allograft vasculopathy. Identifying these specific immune cells provides potential new diagnostic biomarkers and therapeutic targets to improve outcomes in heart transplant recipients.
Article 3: Machine Learning-enabled Assessment of Risk for Drug-induced QT Prolongation at the Time of Prescribing.
Journal: Heart rhythm
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41139036
Summary: This research developed and evaluated machine learning approaches to predict drug-induced long Q. T. c. prolongation at the point of prescribing. Using 12-lead E. C. G. data and 5-fold cross-validation, the study trained X. G. Boost, deep neural network, and combined models. These machine learning-enabled methods demonstrated superior performance in predicting drug-induced Q. T. c. prolongation compared to established risk scores such as Tisdale and R. I. S. Q. -P. A. T. H. This advancement provides clinicians with a more accurate tool to assess Q. T. c. prolongation risk, potentially reducing adverse cardiac events.
Article 4: Indexed Aortic Valve Calcium Volume by Computed Tomography Angiography in Patients With Aortic Stenosis: Results of an International Multicenter Cohort Study.
Journal: JACC. Cardiovascular imaging
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41137846
Summary: This international multicenter cohort study investigated the utility of indexed aortic valve calcium volume from computed tomography angiography in patients with aortic stenosis. Researchers demonstrated that this quantitative measure provides robust diagnostic discrimination of disease severity when compared with echocardiography. Furthermore, the study established that computed tomography angiography-derived aortic valve calcium volume effectively informs risk stratification for patients with aortic stenosis. This finding offers a valuable and objective tool to enhance the assessment and management of aortic stenosis.
Article 5: Renal Function-Stratified Comparison of Complete vs Culprit-Only Revascularization in Older Patients With Myocardial Infarction and Multivessel Disease.
Journal: JACC. Cardiovascular interventions
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41137841
Summary: This study from the FIRE trial investigated complete versus culprit-only revascularization in older myocardial infarction patients with multivessel disease, stratified by renal function. Researchers determined that the benefits of physiology-guided complete revascularization are consistently observed across all subpopulations, irrespective of chronic kidney disease severity. This finding establishes that complete revascularization significantly improves outcomes for older patients with myocardial infarction and multivessel disease, even those with impaired renal function. The study provides critical evidence supporting broader application of complete revascularization in this vulnerable patient group.
Transcript
Today’s date is October 26, 2025. Welcome to Cardiology Today. Here are the latest research findings.
Article number one. Functional and Prognostic Implications of Different Iron Deficiency Definitions in Heart Failure: Insights From HEART-FID. The HEART-FID trial, the largest study on iron repletion in heart failure, aimed to clarify how various definitions of iron deficiency impact functional capacity, hemoglobin levels, and patient outcomes. This research systematically evaluated different circulating iron indices as diagnostic criteria and explored their utility in defining treatment targets. The study’s findings provide crucial information for optimizing iron repletion strategies and establishing precise diagnostic thresholds for iron deficiency in heart failure patients. This advancement will guide clinicians in identifying and treating iron deficiency more effectively.
Article number two. Proinflammatory and cytotoxic CD38+HLA-DR+ effector memory CD8+ T cells are peripherally expanded in human cardiac allograft vasculopathy. This study utilized high dimensional analysis of peripheral blood mononuclear cells to identify specific immune cell populations involved in human cardiac allograft vasculopathy. Researchers discovered a peripheral expansion of proinflammatory and cytotoxic C. D. 38 positive H. L. A. -D. R. positive effector memory C. D. 8 positive T cells in heart transplant patients with high-grade cardiac allograft vasculopathy. This finding directly implicates these distinct T cell subsets in the interferon-gamma axis pathogenesis of cardiac allograft vasculopathy. Identifying these specific immune cells provides potential new diagnostic biomarkers and therapeutic targets to improve outcomes in heart transplant recipients.
Article number three. Machine Learning-enabled Assessment of Risk for Drug-induced QT Prolongation at the Time of Prescribing. This research developed and evaluated machine learning approaches to predict drug-induced long Q. T. c. prolongation at the point of prescribing. Using 12-lead E. C. G. data and 5-fold cross-validation, the study trained X. G. Boost, deep neural network, and combined models. These machine learning-enabled methods demonstrated superior performance in predicting drug-induced Q. T. c. prolongation compared to established risk scores such as Tisdale and R. I. S. Q. -P. A. T. H. This advancement provides clinicians with a more accurate tool to assess Q. T. c. prolongation risk, potentially reducing adverse cardiac events.
Article number four. Indexed Aortic Valve Calcium Volume by Computed Tomography Angiography in Patients With Aortic Stenosis: Results of an International Multicenter Cohort Study. This international multicenter cohort study investigated the utility of indexed aortic valve calcium volume from computed tomography angiography in patients with aortic stenosis. Researchers demonstrated that this quantitative measure provides robust diagnostic discrimination of disease severity when compared with echocardiography. Furthermore, the study established that computed tomography angiography-derived aortic valve calcium volume effectively informs risk stratification for patients with aortic stenosis. This finding offers a valuable and objective tool to enhance the assessment and management of aortic stenosis.
Article number five. Renal Function-Stratified Comparison of Complete vs Culprit-Only Revascularization in Older Patients With Myocardial Infarction and Multivessel Disease. This study from the FIRE trial investigated complete versus culprit-only revascularization in older myocardial infarction patients with multivessel disease, stratified by renal function. Researchers determined that the benefits of physiology-guided complete revascularization are consistently observed across all subpopulations, irrespective of chronic kidney disease severity. This finding establishes that complete revascularization significantly improves outcomes for older patients with myocardial infarction and multivessel disease, even those with impaired renal function. The study provides critical evidence supporting broader application of complete revascularization in this vulnerable patient group.
Thank you for listening. Don’t forget to subscribe.
Keywords
Q. T. c. prolongation, interferon-gamma, cardiac allograft vasculopathy, multivessel disease, chronic kidney disease, C. D. 8 T cells, hemoglobin, computed tomography angiography, machine learning, C. D. 38, H. L. A. -D. R., complete revascularization, heart transplant, heart failure, myocardial infarction, calcium scoring, aortic valve calcium, drug-induced arrhythmia, aortic stenosis, culprit-only revascularization, ferric carboxymaltose, functional capacity, X. G. Boost, risk stratification, deep neural network, iron deficiency, electrocardiogram.
About
Concise summaries of cardiovascular research for professionals.
Subscribe • Share • FollowThe post Machine Learning Predicts Q.T. Prolongation Better 10/26/25 first appeared on Cardiology Today.
Article Links:
Article 1: Functional and Prognostic Implications of Different Iron Deficiency Definitions in Heart Failure: Insights From HEART-FID. (JACC. Heart failure)
Article 2: Proinflammatory and cytotoxic CD38+HLA-DR+ effector memory CD8+ T cells are peripherally expanded in human cardiac allograft vasculopathy. (American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons)
Article 3: Machine Learning-enabled Assessment of Risk for Drug-induced QT Prolongation at the Time of Prescribing. (Heart rhythm)
Article 4: Indexed Aortic Valve Calcium Volume by Computed Tomography Angiography in Patients With Aortic Stenosis: Results of an International Multicenter Cohort Study. (JACC. Cardiovascular imaging)
Article 5: Renal Function-Stratified Comparison of Complete vs Culprit-Only Revascularization in Older Patients With Myocardial Infarction and Multivessel Disease. (JACC. Cardiovascular interventions)
Full episode page: https://podcast.explainheart.com/podcast/machine-learning-predicts-q-t-prolongation-better-10-26-25/
Featured Articles
Article 1: Functional and Prognostic Implications of Different Iron Deficiency Definitions in Heart Failure: Insights From HEART-FID.
Journal: JACC. Heart failure
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41137844
Summary: The HEART-FID trial, the largest study on iron repletion in heart failure, aimed to clarify how various definitions of iron deficiency impact functional capacity, hemoglobin levels, and patient outcomes. This research systematically evaluated different circulating iron indices as diagnostic criteria and explored their utility in defining treatment targets. The study’s findings provide crucial information for optimizing iron repletion strategies and establishing precise diagnostic thresholds for iron deficiency in heart failure patients. This advancement will guide clinicians in identifying and treating iron deficiency more effectively.
Article 2: Proinflammatory and cytotoxic CD38+HLA-DR+ effector memory CD8+ T cells are peripherally expanded in human cardiac allograft vasculopathy.
Journal: American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41138970
Summary: This study utilized high dimensional analysis of peripheral blood mononuclear cells to identify specific immune cell populations involved in human cardiac allograft vasculopathy. Researchers discovered a peripheral expansion of proinflammatory and cytotoxic C. D. 38 positive H. L. A. -D. R. positive effector memory C. D. 8 positive T cells in heart transplant patients with high-grade cardiac allograft vasculopathy. This finding directly implicates these distinct T cell subsets in the interferon-gamma axis pathogenesis of cardiac allograft vasculopathy. Identifying these specific immune cells provides potential new diagnostic biomarkers and therapeutic targets to improve outcomes in heart transplant recipients.
Article 3: Machine Learning-enabled Assessment of Risk for Drug-induced QT Prolongation at the Time of Prescribing.
Journal: Heart rhythm
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41139036
Summary: This research developed and evaluated machine learning approaches to predict drug-induced long Q. T. c. prolongation at the point of prescribing. Using 12-lead E. C. G. data and 5-fold cross-validation, the study trained X. G. Boost, deep neural network, and combined models. These machine learning-enabled methods demonstrated superior performance in predicting drug-induced Q. T. c. prolongation compared to established risk scores such as Tisdale and R. I. S. Q. -P. A. T. H. This advancement provides clinicians with a more accurate tool to assess Q. T. c. prolongation risk, potentially reducing adverse cardiac events.
Article 4: Indexed Aortic Valve Calcium Volume by Computed Tomography Angiography in Patients With Aortic Stenosis: Results of an International Multicenter Cohort Study.
Journal: JACC. Cardiovascular imaging
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41137846
Summary: This international multicenter cohort study investigated the utility of indexed aortic valve calcium volume from computed tomography angiography in patients with aortic stenosis. Researchers demonstrated that this quantitative measure provides robust diagnostic discrimination of disease severity when compared with echocardiography. Furthermore, the study established that computed tomography angiography-derived aortic valve calcium volume effectively informs risk stratification for patients with aortic stenosis. This finding offers a valuable and objective tool to enhance the assessment and management of aortic stenosis.
Article 5: Renal Function-Stratified Comparison of Complete vs Culprit-Only Revascularization in Older Patients With Myocardial Infarction and Multivessel Disease.
Journal: JACC. Cardiovascular interventions
PubMed Link: https://pubmed.ncbi.nlm.nih.gov/41137841
Summary: This study from the FIRE trial investigated complete versus culprit-only revascularization in older myocardial infarction patients with multivessel disease, stratified by renal function. Researchers determined that the benefits of physiology-guided complete revascularization are consistently observed across all subpopulations, irrespective of chronic kidney disease severity. This finding establishes that complete revascularization significantly improves outcomes for older patients with myocardial infarction and multivessel disease, even those with impaired renal function. The study provides critical evidence supporting broader application of complete revascularization in this vulnerable patient group.
Transcript
Today’s date is October 26, 2025. Welcome to Cardiology Today. Here are the latest research findings.
Article number one. Functional and Prognostic Implications of Different Iron Deficiency Definitions in Heart Failure: Insights From HEART-FID. The HEART-FID trial, the largest study on iron repletion in heart failure, aimed to clarify how various definitions of iron deficiency impact functional capacity, hemoglobin levels, and patient outcomes. This research systematically evaluated different circulating iron indices as diagnostic criteria and explored their utility in defining treatment targets. The study’s findings provide crucial information for optimizing iron repletion strategies and establishing precise diagnostic thresholds for iron deficiency in heart failure patients. This advancement will guide clinicians in identifying and treating iron deficiency more effectively.
Article number two. Proinflammatory and cytotoxic CD38+HLA-DR+ effector memory CD8+ T cells are peripherally expanded in human cardiac allograft vasculopathy. This study utilized high dimensional analysis of peripheral blood mononuclear cells to identify specific immune cell populations involved in human cardiac allograft vasculopathy. Researchers discovered a peripheral expansion of proinflammatory and cytotoxic C. D. 38 positive H. L. A. -D. R. positive effector memory C. D. 8 positive T cells in heart transplant patients with high-grade cardiac allograft vasculopathy. This finding directly implicates these distinct T cell subsets in the interferon-gamma axis pathogenesis of cardiac allograft vasculopathy. Identifying these specific immune cells provides potential new diagnostic biomarkers and therapeutic targets to improve outcomes in heart transplant recipients.
Article number three. Machine Learning-enabled Assessment of Risk for Drug-induced QT Prolongation at the Time of Prescribing. This research developed and evaluated machine learning approaches to predict drug-induced long Q. T. c. prolongation at the point of prescribing. Using 12-lead E. C. G. data and 5-fold cross-validation, the study trained X. G. Boost, deep neural network, and combined models. These machine learning-enabled methods demonstrated superior performance in predicting drug-induced Q. T. c. prolongation compared to established risk scores such as Tisdale and R. I. S. Q. -P. A. T. H. This advancement provides clinicians with a more accurate tool to assess Q. T. c. prolongation risk, potentially reducing adverse cardiac events.
Article number four. Indexed Aortic Valve Calcium Volume by Computed Tomography Angiography in Patients With Aortic Stenosis: Results of an International Multicenter Cohort Study. This international multicenter cohort study investigated the utility of indexed aortic valve calcium volume from computed tomography angiography in patients with aortic stenosis. Researchers demonstrated that this quantitative measure provides robust diagnostic discrimination of disease severity when compared with echocardiography. Furthermore, the study established that computed tomography angiography-derived aortic valve calcium volume effectively informs risk stratification for patients with aortic stenosis. This finding offers a valuable and objective tool to enhance the assessment and management of aortic stenosis.
Article number five. Renal Function-Stratified Comparison of Complete vs Culprit-Only Revascularization in Older Patients With Myocardial Infarction and Multivessel Disease. This study from the FIRE trial investigated complete versus culprit-only revascularization in older myocardial infarction patients with multivessel disease, stratified by renal function. Researchers determined that the benefits of physiology-guided complete revascularization are consistently observed across all subpopulations, irrespective of chronic kidney disease severity. This finding establishes that complete revascularization significantly improves outcomes for older patients with myocardial infarction and multivessel disease, even those with impaired renal function. The study provides critical evidence supporting broader application of complete revascularization in this vulnerable patient group.
Thank you for listening. Don’t forget to subscribe.
Keywords
Q. T. c. prolongation, interferon-gamma, cardiac allograft vasculopathy, multivessel disease, chronic kidney disease, C. D. 8 T cells, hemoglobin, computed tomography angiography, machine learning, C. D. 38, H. L. A. -D. R., complete revascularization, heart transplant, heart failure, myocardial infarction, calcium scoring, aortic valve calcium, drug-induced arrhythmia, aortic stenosis, culprit-only revascularization, ferric carboxymaltose, functional capacity, X. G. Boost, risk stratification, deep neural network, iron deficiency, electrocardiogram.
About
Concise summaries of cardiovascular research for professionals.
Subscribe • Share • FollowThe post Machine Learning Predicts Q.T. Prolongation Better 10/26/25 first appeared on Cardiology Today.
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