We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us

Download Mobile App




ECG Analysis Platform Detects High Risk AF Patients

By HospiMedica International staff writers
Posted on 15 Apr 2021
Print article
Image: ECG data can be analyzed to predict future AF risk (Photo courtesy of Getty Images)
Image: ECG data can be analyzed to predict future AF risk (Photo courtesy of Getty Images)
A novel system uses 12-lead electrocardiogram (ECG) data to identify patients at high risk of developing atrial fibrillation (AF) within the year.

Developed by Tempus (Chicago, IL, USA), in collaboration with the Geisinger Health System (Geisinger; Danville, PA, USA), the Tempus ECG Analysis Platform evaluates the results of a 12-lead ECG exam administered as part of routine care in order to provide clinicians with insight into a patient's risk of future AF and/or atrial flutter events. The deep neural network algorithm was trained using 1.6 million ECGs from 430,000 patients over 35 years of patient care (among patients without a previous history of AF), who would develop it within 12 months.

In a clinical study held at Geisinger, which was published on February 16, 2021 in Circulation, Tempus ECG Analysis performance exceeded that of current clinical models for predicting AF risk. In addition, 62% of patients without known AF, and who experienced an AF-related stroke within three years were identified as high risk by the model before the stroke occurred. When interpreted in conjunction with other clinical information, the platform could help clinicians pursue early and proactive diagnoses for improved clinical management of these conditions and their associated health risks.

“Every year, hundreds of millions of routine ECGs are performed in the United States to detect cardiac abnormalities,” said Joel Dudley, PhD, chief scientific officer of Tempus. “We are making ECGs smarter so that they can identify the risk of future, highly treatable clinical events of interest, such as atrial fibrillation, thus enabling clinicians to act earlier in the course of disease and improve patient outcomes.”

“Not only can we now predict who is at risk of developing atrial fibrillation, but this work shows that the high risk prediction precedes many AF-related strokes,” said Brandon Fornwalt, MD, PhD, co-senior author of the study and chair of Geisinger's Department of Translational Data Science and Informatics. “With that kind of information, we can change the way these patients are screened and treated, potentially preventing such severe outcomes. This is huge for patients.”

In patients with AF, rapid, disorganized electrical signals cause the atria to quiver, interrupting the normal synchronized rhythm between the atria and the ventricles. As a result, the ventricles may beat fast and without a regular rhythm, leading to blood clots, strokes, heart failure, and other heart-related complications.

Related Links:
Tempus
Geisinger Health System


Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
Silver Member
Wireless Mobile ECG Recorder
NR-1207-3/NR-1207-E
New
Infant Blood Draw Station
Infant Blood Draw Station

Print article

Channels

Surgical Techniques

view channel
Image: NTT and Olympus have begun the world\'s first joint demonstration experiment of a cloud endoscopy system (Photo courtesy of Olympus)

Cloud Endoscopy System Enables Real-Time Image Processing on the Cloud

Endoscopes, which are flexible tubes inserted into the body's natural openings for internal examination and biopsy collection, are becoming increasingly vital in medical diagnostics. Their minimal invasiveness... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The PATHFAST hs-cTnI-II high-sensitivity troponin assay has been developed for the PATHFAST Biomarker Analyzer (Photo courtesy of Polymedco)

POC Myocardial Infarction Test Delivers Results in 17 Minutes

Chest pain is the second leading cause of emergency department (ED) visits by adults in the United States, generating over 7 million visits annually. In the event of a suspected heart attack, physicians... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.