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

Coronary Artery Disease I: Introduction01:30

Coronary Artery Disease I: Introduction

1.1K
Coronary Artery Disease (CAD): An Overview with Scientific InsightsCoronary Artery Disease (CAD), often referred to as C-A-D, is a prevalent blood vessel disorder classified under the broader category of atherosclerosis. Atherosclerosis is a pathological process characterized by the hardening and narrowing of arteries due to the accumulation of atherosclerotic plaques. These plaques are composed of cholesterol, fatty substances, inflammatory cells, calcium, and fibrin, reducing blood flow to...
1.1K
Coronary Artery Disease II: Pathophysiology01:26

Coronary Artery Disease II: Pathophysiology

426
Coronary Artery Disease (CAD) originates from a series of events that impair the function of coronary arteries, the blood vessels responsible for delivering oxygen-rich blood to the heart muscle. The pathophysiology of CAD is closely linked to atherosclerosis, a chronic inflammatory and lipid-driven condition affecting the vascular endothelium.1. Endothelial DamageThe process begins with damage to the vascular endothelium, which serves as a protective barrier between the blood and the vessel...
426
Coronary Artery Disease V: Interprofessional Care01:27

Coronary Artery Disease V: Interprofessional Care

267
Interprofessional care for coronary artery disease includes pharmacological therapy and revascularization procedures.Pharmacological therapy for Coronary Artery Disease (CAD) aims to manage symptoms, prevent complications, and improve patient outcomes through various classes of medications:Antiplatelet Agents:Aspirin and Clopidogrel: These medications inhibit platelet aggregation, preventing blood clots, which is crucial for avoiding heart attacks and strokes. Doctors often prescribe these...
267
Coronary Artery Disease III: Clinical Manifestations01:30

Coronary Artery Disease III: Clinical Manifestations

368
Coronary Artery Disease (CAD) is a primary health risk worldwide, leading to significant morbidity and mortality. The condition arises from the buildup of atherosclerotic plaques within the coronary arteries, resulting in diminished blood supply to the heart muscle.The clinical manifestations of CAD vary widely, from asymptomatic stages to severe, life-threatening conditions. Understanding these manifestations is crucial for early diagnosis and effective management.Angina Pectoris: The Warning...
368
Coronary Artery Disease IV: Preventive Measures01:26

Coronary Artery Disease IV: Preventive Measures

684
Effective preventive measures for coronary artery disease (CAD) focus on controlling modifiable risk factors, including cholesterol abnormalities and lifestyle changes.Cholesterol ManagementFirst, the Mediterranean diet and the American Heart Association advocate for maintaining low-density lipoprotein (LDL) cholesterol levels below 100 mg/dL, with a more stringent recommendation of below 70 mg/dL for individuals at high risk. LDL cholesterol, often termed "bad cholesterol," can lead to the...
684
Peripheral Artery Disease I: Introduction01:30

Peripheral Artery Disease I: Introduction

376
Peripheral artery disease (PAD) predominantly results from atherosclerosis, which involves the accumulation of fatty deposits, or plaques, within the walls of arteries. This causes them to narrow and harden, significantly reducing blood flow. PAD predominantly affects the legs, particularly the arteries supplying the thighs and calves. In rare cases, it may involve other arteries, including those in the arms.Etiology of PAD:The principal cause of PAD is atherosclerosis, which results from fatty...
376

You might also read

Related Articles

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

Sort by
Same author

Erratum to Author Corrections to: "Canadian Cardiovascular Society 2023 Guidelines on the Fitness to Drive [Canadian Journal of Cardiology, Volume 40, Issue 4 500-523, DOI: 10.1016/j.cjca.2023.09.033]".

The Canadian journal of cardiology·2026
Same author

Clinical Characteristics and Outcomes of Older Patients Admitted to the Cardiac Intensive Care Unit.

JACC. Advances·2026
Same author

High-sensitivity C-reactive protein as a prognostic biomarker in cardiovascular diseases: implications for atherosclerosis, chronic kidney disease, and heart failure - a review.

Trends in cardiovascular medicine·2026
Same author

Red Cell Transfusion in Critically Ill and Noncritically Ill Patients With Acute Myocardial Infarction and Anemia-A Subanalysis of the Myocardial Ischemia and Transfusion (MINT) Trial.

Critical care medicine·2026
Same author

Impact of malnutrition on outcomes among elderly ST-Elevation myocardial infarction patients receiving primary percutaneous coronary intervention.

American heart journal·2026
Same author

Short and long-term outcomes among patients with and without psychiatric disorders following out-of-hospital cardiac arrest.

Heart rhythm·2026

Related Experiment Video

Updated: Jan 29, 2026

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

935

Predictive Model for High-Risk Coronary Artery Disease.

James J Jang1, Manjushri Bhapkar2, Adrian Coles2

  • 1San Jose Medical Center, Kaiser Permanente, CA (J.J.J.).

Circulation. Cardiovascular Imaging
|February 5, 2019
PubMed
Summary

Identifying high-risk coronary artery disease (CAD) is crucial. New predictive models using clinical variables effectively identify patients with high-risk CAD, outperforming traditional risk assessments.

Keywords:
angiographycoronary artery diseaserisk assessment

More Related Videos

Coronary Artery Ligation and Intramyocardial Injection in a Murine Model of Infarction
07:41

Coronary Artery Ligation and Intramyocardial Injection in a Murine Model of Infarction

Published on: June 7, 2011

53.2K
Ultrasound Based Assessment of Coronary Artery Flow and Coronary Flow Reserve Using the Pressure Overload Model in Mice
06:39

Ultrasound Based Assessment of Coronary Artery Flow and Coronary Flow Reserve Using the Pressure Overload Model in Mice

Published on: April 13, 2015

15.6K

Related Experiment Videos

Last Updated: Jan 29, 2026

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

935
Coronary Artery Ligation and Intramyocardial Injection in a Murine Model of Infarction
07:41

Coronary Artery Ligation and Intramyocardial Injection in a Murine Model of Infarction

Published on: June 7, 2011

53.2K
Ultrasound Based Assessment of Coronary Artery Flow and Coronary Flow Reserve Using the Pressure Overload Model in Mice
06:39

Ultrasound Based Assessment of Coronary Artery Flow and Coronary Flow Reserve Using the Pressure Overload Model in Mice

Published on: April 13, 2015

15.6K

Area of Science:

  • Cardiology
  • Medical Imaging
  • Predictive Analytics

Background:

  • Identifying patients with high-risk coronary artery disease (CAD) presents a clinical challenge.
  • High-risk CAD is defined by significant stenosis in major coronary arteries.

Purpose of the Study:

  • To develop and validate predictive models for high-risk CAD using pretest clinical variables.
  • To compare the performance of these new models against traditional risk assessment tools.

Main Methods:

  • Utilized the PROMISE cohort (n=4589) randomized to coronary computed tomographic angiography.
  • Developed two predictive models for high-risk CAD (≥50% or ≥70% stenosis) using stepwise logistic regression.
  • Assessed model discrimination and calibration, comparing them to the Pooled Cohort Equation and Diamond-Forrester risk scores.

Main Results:

  • High-risk CAD was present in 2.4% to 6.6% of patients.
  • Both models demonstrated good discrimination (bias-corrected C statistic=0.73).
  • Predictive variables included family history, age, sex, kidney function, diabetes, blood pressure, and angina. Models outperformed traditional assessments.

Conclusions:

  • A significant proportion of stable, symptomatic patients have high-risk CAD.
  • Simple combinations of pretest clinical variables offer improved prediction of high-risk CAD.
  • These models provide a better risk stratification tool than existing methods.