ArticleThe Journal of physiology2021
Phenotyping heart failure using model-based analysis and physiology-informed machine learning.
Article in The Journal of physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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The trial behind it
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Who cites it
27 citing papers in PubMed, 47 citations in OpenAlex.
- Artificial Intelligence in Heart Failure with Preserved Ejection Fraction.Diagnostics (Basel, Switzerland) · 2026Review
- Multiscale computational modeling of the cardiopulmonary consequences of postnatal hyperoxia with implications for preterm-born children.Biomechanics and modeling in mechanobiology · 2026Article
- Phenotyping of acute heart failure with preserved ejection fraction: real-world outcomes in a cohort of older patients.Internal medicine journal · 2026Article
- Digital Medicine in the Management of Heart Failure: From Reactive Care to Predictive, Pathophysiology-Driven Strategies.Healthcare (Basel, Switzerland) · 2026Review
- Machine learning-based identification of heart failure with reduced ejection fraction using routine laboratory indicators.Frontiers in cardiovascular medicine · 2026Article
- Unsupervised machine learning for cardiovascular disease: A framework for future studies.European journal of heart failure · 2025Review
- Machine-Learning-Driven Phenotyping in Heart Failure with Preserved Ejection Fraction: Current Approaches and Future Directions.Medicina (Kaunas, Lithuania) · 2025Review
- Multiscale Computational Modeling of the Cardiopulmonary Consequences of Postnatal Hyperoxia with Implications for Preterm Born Children.bioRxiv : the preprint server for biology · 2025Article
- Machine learning-based phenotyping and assessment of treatment responses in heart failure with preserved ejection fraction.EClinicalMedicine · 2025Article
- Mechano-energetic uncoupling in heart failure.Nature reviews. Cardiology · 2025Review
- Artificial Intelligence in Diagnosis of Heart Failure.Journal of the American Heart Association · 2025Review
- Identification of digital twins to guide interpretable AI for diagnosis and prognosis in heart failure.NPJ digital medicine · 2025Article
- Observer- and sequence variability in personalized 4D flow MRI-based cardiovascular models.Scientific reports · 2025Article
- Mineralocorticoid receptor antagonists and heart failure with preserved ejection fraction: current understanding and future prospects.Heart failure reviews · 2025Review
- The importance of incorporating ventricular-ventricular interaction (VVI) in the study of pulmonary hypertension.Mathematical biosciences · 2024Article
- Guidelines for mechanistic modeling and analysis in cardiovascular research.American journal of physiology. Heart and circulatory physiology · 2024Review
- The impact of ECPELLA on haemodynamics and global oxygen delivery: a comprehensive simulation of biventricular failure.Intensive care medicine experimental · 2024Article
- The Therapy and Management of Heart Failure with Preserved Ejection Fraction: New Insights on Treatment.Cardiac failure review · 2024Review
- Predicting mortality and re-hospitalization for heart failure: a machine-learning and cluster analysis on frailty and comorbidity.Aging clinical and experimental research · 2023Article
- Heart rate-corrected systolic ejection time: population-based reference values and differential prognostic utility in acute heart failure.European heart journal. Imaging methods and practice · 2023Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
To phenotype mechanistic differences between heart failure with reduced (HFrEF) and preserved (HFpEF) ejection fraction, a closed-loop model of the cardiovascular system coupled with patient-specific transthoracic echocardiography (TTE) and right heart catheterization (RHC) data was used to identify key parameters representing haemodynamics. Thirty-one patient records (10 HFrEF, 21 HFpEF) were obtained from the Cardiovascular Health Improvement Project database at the University of Michigan. Model simulations were tuned to match RHC and TTE pressure, volume, and cardiac output measurements in each patient. The underlying physiological model parameters were plotted against model-based norms and compared between HFrEF and HFpEF. Our results confirm the main mechanistic parameter driving HFrEF is reduced left ventricular (LV) contractility, whereas HFpEF exhibits a heterogeneous phenotype. Conducting principal component analysis,
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.