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

Introduction Cardiac Emergencies01:30

Introduction Cardiac Emergencies

2
Cardiac emergencies are critical situations involving the heart that require immediate medical intervention to prevent severe complications or death. These emergencies often arise from underlying heart conditions that impair the heart's ability to function correctly.Types of Cardiac EmergenciesThe most common types of cardiac emergencies include Acute Coronary Syndrome (ACS), myocardial infarction (MI), cardiac arrest, and heart failure.Acute Coronary Syndrome (ACS)Acute Coronary Syndrome (ACS)...
2
Electrocardiogram01:29

Electrocardiogram

2.2K
An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
2.2K
Pulse rhythm01:30

Pulse rhythm

769
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
769
Dysrhythmias V: Evaluating Dysrhythmias01:30

Dysrhythmias V: Evaluating Dysrhythmias

22
Dysrhythmias, also known as arrhythmias, are disturbances in the heart's rhythm that range from benign to life-threatening. A thorough evaluation is crucial for appropriate management and involves a comprehensive medical history, physical examination, and various diagnostic tests.1. Medical HistorySymptoms: Collect detailed information on palpitations, dizziness, syncope, chest pain, and fatigue. Note their onset, frequency, and triggers.Previous Cardiac Issues: Document any history of heart...
22
Cardiomyopathy V: Interprofessional Care01:29

Cardiomyopathy V: Interprofessional Care

2
Managing cardiomyopathy involves addressing underlying or precipitating causes, treating heart failure with medications, and implementing dietary changes and a balanced exercise and rest regimen.Lifestyle ModificationsCardiomyopathy patients should adopt a low-sodium diet to reduce fluid retention and manage heart failure. A personalized exercise and rest plan helps maintain physical fitness without overstraining the heart. Avoiding alcohol and tobacco is essential to prevent further damage to...
2
Cardiomyopathy II: Dilated Cardiomyopathy01:30

Cardiomyopathy II: Dilated Cardiomyopathy

1
Dilated cardiomyopathy, or DCM, is a progressive myocardial disorder characterized by ventricular chamber dilation and contractile dysfunction.EtiologyVarious factors can cause DCM, including hypertension and heavy alcohol intake, which contribute to the weakening and enlargement of the heart muscle. Viral infections, such as Coxsackievirus B, adenoviruses, and influenza, can lead to DCM by causing inflammation and damage to heart tissue. Certain chemotherapeutic agents, including daunorubicin,...
1

You might also read

Related Articles

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

Sort by
Same author

Valvular Shock in the Cardiac Intensive Care Unit: Perioperative Care for Transcatheter Valve Interventions.

Cardiology clinics·2026
Same author

Evaluating possible treatment effect heterogeneity in a randomized trial of milrinone versus dobutamine in cardiogenic shock.

Critical care (London, England)·2026
Same author

Reply: CICU Workforce Survey: Interpret With Caution.

JACC. Advances·2026
Same author

Pressure-Adjusted Heart Rate by Echocardiography and Mortality in the Cardiac Intensive Care Unit.

JACC. Advances·2026
Same author

Echocardiographic correlates of acute kidney injury in cardiac intensive care unit patients.

International journal of cardiology·2026
Same author

New and persistent psychoactive medication use in intensive care unit survivors with COVID-19: a multicentre population-based cohort study.

Canadian journal of anaesthesia = Journal canadien d'anesthesie·2026

Related Experiment Video

Updated: Jun 11, 2025

Methods for ECG Evaluation of Indicators of Cardiac Risk, and Susceptibility to Aconitine-induced Arrhythmias in Rats Following Status Epilepticus
08:28

Methods for ECG Evaluation of Indicators of Cardiac Risk, and Susceptibility to Aconitine-induced Arrhythmias in Rats Following Status Epilepticus

Published on: April 5, 2011

17.7K

Mortality Risk Stratification Utilizing Artificial Intelligence Electrocardiogram for Hyperkalemia in Cardiac

David M Harmon1, Chris K Heinrich2, John J Dillon3

  • 1Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.

JACC. Advances
|October 7, 2024
PubMed
Summary
This summary is machine-generated.

Artificial intelligence-enhanced electrocardiograms (AI-ECG) can predict hyperkalemia and stratify mortality risk in cardiac intensive care unit (CICU) patients, even when lab potassium levels are normal.

Keywords:
artificial intelligencecritical careelectrocardiogramhyperkalemiaoutcomes

More Related Videos

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

429
A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
18:11

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis

Published on: December 28, 2012

24.2K

Related Experiment Videos

Last Updated: Jun 11, 2025

Methods for ECG Evaluation of Indicators of Cardiac Risk, and Susceptibility to Aconitine-induced Arrhythmias in Rats Following Status Epilepticus
08:28

Methods for ECG Evaluation of Indicators of Cardiac Risk, and Susceptibility to Aconitine-induced Arrhythmias in Rats Following Status Epilepticus

Published on: April 5, 2011

17.7K
Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

429
A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
18:11

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis

Published on: December 28, 2012

24.2K

Area of Science:

  • Cardiology
  • Medical Informatics
  • Artificial Intelligence

Background:

  • Hyperkalemia is linked to increased mortality in cardiac intensive care unit (CICU) patients.
  • Artificial intelligence (AI) algorithms applied to electrocardiograms (ECG) show promise in predicting hyperkalemia and stratifying mortality risk.

Purpose of the Study:

  • To test if an AI-ECG algorithm for hyperkalemia prediction can stratify mortality risk in CICU patients beyond standard laboratory potassium measurements.
  • To evaluate the association between AI-ECG predicted hyperkalemia and patient outcomes.

Main Methods:

  • A cohort of 11,234 CICU patients with available ECGs and serum potassium levels at admission was analyzed.
  • ECGs were evaluated using an AI algorithm to predict hyperkalemia (defined as probability >0.5).
  • Hospital mortality and 1-year survival were analyzed using logistic regression, Kaplan-Meier, and Cox analyses.

Main Results:

  • The AI-ECG algorithm predicted hyperkalemia in 33.9% of patients, while laboratory-confirmed hyperkalemia (K ≥5 mEq/L) was present in 12.9%.
  • In-hospital mortality was significantly higher in patients with AI-ECG predicted hyperkalemia (true positives and false positives) and those with false-negative predictions compared to true negatives.
  • All groups with AI-ECG predicted hyperkalemia showed progressively lower 1-year survival rates.

Conclusions:

  • AI-ECG prediction of hyperkalemia is associated with increased in-hospital mortality and reduced 1-year survival in CICU patients, irrespective of actual lab potassium levels.
  • AI-ECG analysis offers a potential tool for rapid, individualized mortality risk stratification in critically ill cardiac patients.