Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
Aortic Regurgitation II: Clinical Features and Diagnostic Tests01:22

Aortic Regurgitation II: Clinical Features and Diagnostic Tests

Aortic valve regurgitation (AR) occurs when the aortic valve fails to close properly, allowing blood to flow backward from the aorta into the left ventricle. This backflow can result in two distinct clinical presentations: acute and chronic AR, each characterized by its own set of symptoms and physical findings.Acute Aortic RegurgitationAcute AR presents with a sudden onset of severe symptoms. Patients typically experience profound dyspnea (shortness of breath), chest pain, and signs of left...
Aortic Regurgitation III: Medical Management01:25

Aortic Regurgitation III: Medical Management

Aortic regurgitation (AR) is when the aortic valve does not close or seal properly, leading to backward blood circulation from the aorta into the left ventricle during diastole. Common causes of AR include rheumatic heart disease, congenital valve defects, and aortic root dilation. Managing AR requires a multifaceted approach to alleviate symptoms, preserve left ventricular function, and address the underlying cause of the regurgitation. Patients with symptomatic AR or significant left...
Aortic Regurgitation IV: Nursing Management01:17

Aortic Regurgitation IV: Nursing Management

A nurse managing a patient with aortic regurgitation begins with a comprehensive assessment, including a review of the patient's medical history, family history, and lifestyle factors. During the cardiac examination, the nurse listens for heart sounds and checks for signs of valve abnormalities. The nurse also observes for symptoms such as dyspnea, orthopnea, and paroxysmal nocturnal dyspnea and assesses the patient's endurance and daily activity tolerance.Based on the findings, the nurse...
Aneurysm IV: Nursing Management01:22

Aneurysm IV: Nursing Management

Vigilant monitoring for aneurysm rupture is essential for patients undergoing aortic surgery.Preoperative Nursing ManagementContinuously monitor the patient for manifestations of aneurysm rupture, such as pallor, weakness, tachycardia, hypotension, abdominal, back, groin, or periumbilical pain, changes in consciousness, and a pulsating abdominal mass. Regularly assess the patient's peripheral pulses.Instruct the patient to consume a clear liquid diet the day before surgery and administer...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Consecutive Emergency Carotid Artery Stenting and Transcatheter Aortic Valve Replacement in a Patient With Cardiogenic Shock: A Case Report.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions·2026
Same author

Catheter ablation of atrial fibrillation in transthyretin and light-chain cardiac amyloidosis: results from the multicentre AMYL-AF study.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology·2026
Same author

Inflammatory Biomarkers and Their Associations with Arrhythmic Burden Following SGLT2-I Treatment in Chronic Heart Failure-A Subanalysis of the ERASe Trial.

Journal of clinical medicine·2026
Same author

Contrast use and radiation exposure during transcatheter aortic valve implantation according to valve design.

Kardiologia polska·2026
Same author

Standardized processing of explanted hearts after stereotactic arrhythmia radiotherapy (Bio-STAR): a STOPSTORM framework and first human findings.

European heart journal open·2026
Same author

Diversity, equity, and inclusion in arrhythmia care: a European Heart Rhythm Association survey.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology·2026

Related Experiment Video

Updated: Jun 10, 2026

Full-root Aortic Valve Replacement by Stentless Aortic Xenografts in Patients with Small Aortic Roots
12:17

Full-root Aortic Valve Replacement by Stentless Aortic Xenografts in Patients with Small Aortic Roots

Published on: May 21, 2017

11.3K

A Neuronal Network-Based Score Predicting Survival in Patients Undergoing Aortic Valve Intervention: The ABC-AS

Fabian Barbieri1,2, Bernhard Erich Pfeifer3,4, Thomas Senoner2

  • 1Department of Cardiology, Angiology and Intensive Care, Deutsches Herzzentrum der Charité, 12203 Berlin, Germany.

Journal of Clinical Medicine
|July 13, 2024
PubMed
Summary

A new biomarker-based risk score, ABC-AS, improves cardiovascular outcome prediction for aortic valve replacement patients. This score outperforms the STS-PROM score, offering better risk stratification for severe aortic stenosis interventions.

Keywords:
aortic stenosisaortic valveaortic valve replacementartificial intelligencebiomarkerrisk prediction modelrisk scoretranscatheter aortic valve implantationtranscatheter aortic valve replacement

More Related Videos

Standardized Technique of Aortic Valve Re-implantation for Valve-sparing Aortic Root Replacement
14:14

Standardized Technique of Aortic Valve Re-implantation for Valve-sparing Aortic Root Replacement

Published on: December 11, 2017

14.1K
Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
04:05

Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis

Published on: June 30, 2023

1.8K

Related Experiment Videos

Last Updated: Jun 10, 2026

Full-root Aortic Valve Replacement by Stentless Aortic Xenografts in Patients with Small Aortic Roots
12:17

Full-root Aortic Valve Replacement by Stentless Aortic Xenografts in Patients with Small Aortic Roots

Published on: May 21, 2017

11.3K
Standardized Technique of Aortic Valve Re-implantation for Valve-sparing Aortic Root Replacement
14:14

Standardized Technique of Aortic Valve Re-implantation for Valve-sparing Aortic Root Replacement

Published on: December 11, 2017

14.1K
Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis
04:05

Author Spotlight: Unveiling Prognostic Indicators in Heart Failure - The Role of Phase Angle and Bioelectrical Impedance Analysis

Published on: June 30, 2023

1.8K

Area of Science:

  • Cardiology
  • Biomarkers
  • Artificial Intelligence in Medicine

Background:

  • Risk prediction for aortic valve replacement (AVR) in severe aortic stenosis is challenging with current scores.
  • AVR is the most common valvular intervention, highlighting the need for improved risk assessment.

Purpose of the Study:

  • To develop a novel biomarker-based risk score using a neural network for AVR patients.
  • To enhance cardiovascular outcome prediction in patients undergoing aortic valve intervention.

Main Methods:

  • A multicenter study involving 3595 patients, divided into test (70%) and validation (30%) cohorts.
  • Development of the ABC-AS score using age, high-sensitivity troponin T, and cardiac decompensation history.
  • Validation and comparison of ABC-AS against the Society of Thoracic Surgeons Predictive Risk of Operative Mortality (STS-PROM) score.

Main Results:

  • The ABC-AS score demonstrated superior predictive performance compared to the STS-PROM score.
  • Higher area under the curve (AUC) for ABC-AS (0.922 vs. 0.678 at 30 days; 0.839 vs. 0.699 overall) in predicting cardiovascular mortality.
  • ABC-AS showed highly significant differences in all-cause and cardiovascular mortality across tertiles (p < 0.0001).

Conclusions:

  • The ABC-AS score is a more effective tool for risk stratification in patients undergoing aortic valve intervention.
  • The novel score improves prediction of cardiovascular outcomes, outperforming the established STS-PROM score.