ArticleJournal of the American Society of Echocardiography : official publication of the American Society of Echocardiography2019
20th Annual Feigenbaum Lecture: Echocardiography for Precision Medicine-Digital Biopsy to Deconstruct Biology.
Article in Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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Who cites it
15 citing papers in PubMed, 24 citations in OpenAlex.
- Deep Learning Echocardiographic Trajectories of Heart Failure With Preserved Ejection Fraction: A Retrospective Cohort Study.JACC. Advances · 2026Article
- AI-Enabled Precision Echocardiography: Toward Personalized Cardiovascular Care.Diagnostics (Basel, Switzerland) · 2026Review
- Myocardial Dysfunction and Risk of Long COVID in Patients Recovered From Mild and Moderate COVID-19.Echocardiography (Mount Kisco, N.Y.) · 2025Observational
- Association between insulin resistance indices and outcomes in patients with heart failure with preserved ejection fraction.Cardiovascular diabetology · 2025Article
- Mineralocorticoid receptor antagonists and heart failure with preserved ejection fraction: current understanding and future prospects.Heart failure reviews · 2025Review
- Evolving role of myocardial fibrosis in heart failure with preserved ejection fraction.Frontiers in cardiovascular medicine · 2025Review
- Heart Failure with Preserved Ejection Fraction: The Pathophysiological Mechanisms behind the Clinical Phenotypes and the Therapeutic Approach.International journal of molecular sciences · 2024Review
- Insights into the Interaction of Heart Failure with Preserved Ejection Fraction and Sleep-Disordered Breathing.Biomedicines · 2023Review
- Heart Failure: Is There an Ideal Biomarker?Reviews in cardiovascular medicine · 2023Review
- Phenomapping in heart failure with preserved ejection fraction: insights, limitations, and future directions.Cardiovascular research · 2023Review
- Review
- Cardiac involvement in patients recovered from COVID-19 identified using left ventricular longitudinal strain.Journal of echocardiography · 2022Article
- Phenotyping heart failure using model-based analysis and physiology-informed machine learning.The Journal of physiology · 2021Article
- Heart Failure with Preserved Ejection Fraction: the Major Unmet Need in Cardiology.Korean circulation journal · 2020Review
- Heart Failure with Preserved Ejection Fraction-a Concise Review.Current cardiology reports · 2020Review
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Heart failure with preserved ejection fraction (HFpEF) is a complex, heterogeneous syndrome in need of improved classification given its high morbidity and mortality and few effective treatment options. HFpEF represents an ideal setting to examine the utility and feasibility of a precision medicine approach. This article (based on the 20th annual Feigenbaum Lecture, presented at the 2019 American Society of Echocardiography Scientific Sessions) describes the utility of echocardiography as a "digital biopsy" and how deep quantitative echocardiographic phenotyping, coupled with machine learning, can be used to identify novel HFpEF phenotypes. The cellular and ultrastructural basis of abnormal speckle-tracking echocardiography- (STE-) based measurements of cardiac mechanics can provide a window into cardiomyocyte calcium homeostasis. STE-based measurements of longitudinal strain can thus inform the extent of myocardial involvement in patients with HFpEF, which may help to determine responsiveness to cardiac-specific HF medications. However, classifying the complex, systemic, multiorgan nature of HFpEF appropriately likely requires more advanced methods. Using unsupervised machine learning, HFpEF can be classified into three distinct phenogroups with differing clinical and echocardiographic characteristics and outcomes: (1) natriuretic peptide deficiency syndrome; (2) extreme cardiometabolic syndrome; and (3) right ventricle-cardio-abdomino-renal syndrome. Each can be probed to determine their biological basis. The goal of improved classification of HFpEF is to match the right patient with the right treatment, with the hope of improving the track record of HFpEF clinical trials. This article emphasizes the central role of echocardiography in advancing precision medicine and illustrates the integration of basic, translational, clinical, and population research in echocardiography with the goal of better understanding the pathobiology of a complex cardiovascular syndrome.
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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.