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 hp
Sign In
Advertise with Us
Radcal

Download Mobile App




Events

31 Jul 2024 - 02 Aug 2024
02 Aug 2024 - 04 Aug 2024
20 Aug 2024 - 22 Aug 2024

Breakthrough Computational Method Predicts Sudden Cardiac Death

By HospiMedica International staff writers
Posted on 14 Jun 2024
Print article
Image: Association between long-term sudden cardiac death and heart rate variability, measured in different stages of exercise testing (Photo courtesy of Hernesniemi JA, et al. J Am Coll Cardiol EP. 2024;10.1016/j.jacep.2024.04.018)
Image: Association between long-term sudden cardiac death and heart rate variability, measured in different stages of exercise testing (Photo courtesy of Hernesniemi JA, et al. J Am Coll Cardiol EP. 2024;10.1016/j.jacep.2024.04.018)

Unfortunately, sudden cardiac death is often the first indication of heart disease, and it can strike even young, seemingly healthy individuals, particularly during intense physical activity. To facilitate preventive measures, accurately assessing the risk of sudden death is crucial. Current consumer devices like smartwatches, which measure heart rate, possess the basic technical capabilities needed for identifying such cardiac risk factors. However, the heart rate interval analyses currently utilized are not sufficiently accurate for this purpose. Historically, the risk of sudden death has been evaluated using parameters from stress tests, including cardiorespiratory fitness and recovery heart rate tests. Cardiorespiratory fitness measures an individual's efficiency in transporting oxygen to the muscles and the muscles' ability to use oxygen during exercise. Now, a new computational approach has been developed that can estimate the risk of sudden cardiac death based on a one-minute heart rate measurement taken at rest.

Researchers at Tampere University (Tampere, Finland) have found that the new computational method they developed significantly improves the prediction of long-term sudden death risk. The assessment requires only a minute's worth of heartbeat intervals measured while at rest. This method draws on data from stress tests conducted as part of the Finnish Cardiovascular Study (FINCAVAS) project, which involved approximately 4,000 patients. It utilizes time series analysis to examine the dependencies of heart rate intervals and other complex indicators typical of various heart diseases over different time scales. Patients identified by this new method as having abnormal heart rate variability had a notably higher rate of sudden death compared to those with normal heart rate patterns, even when controlling for other risk factors.

This method holds considerable promise for pre-diagnosis and for identifying patients at high risk. It is independent of other measurements and could easily be integrated into devices such as smartwatches or smart rings. Research and development of this method are being expanded, using extensive databases on different heart conditions, with the goal of not only reliably detecting overall risk but also diagnosing common heart diseases like heart failure, which are currently challenging to identify with existing methods. The initial findings are very encouraging.

“It is possible that in many previously asymptomatic individuals, who have suffered sudden cardiac death or who have been resuscitated after sudden cardiac arrest, the event would have been predictable and preventable if the emergence of risk factors had been detected in time,” said Jussi Hernesniemi, Professor of Cardiology and lead author of the study.

“The most interesting finding of the study is the identification of differences specifically during measurements at rest. The characteristics of heart rate intervals of high-risk patients at rest resemble those of a healthy heart during physical exertion,” added doctoral researcher Teemu Pukkila.

Related Links:
Tampere University

Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
Gold Member
Disposable Protective Suit For Medical Use
Disposable Protective Suit For Medical Use
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
Multi-Parameter Patient Monitor
TR6628-7

Print article

Channels

Surgical Techniques

view channel
Image: ImmersiveAR is an FDA-510(k) cleared augmented reality (AR) software (Photo courtesy of 123RF)

Breakthrough AR Surgical System Brings Precision-Enhanced Visualization into the OR

State-of-the-art mixed reality and artificial intelligence (AI) technologies are revolutionizing the field of surgery. Now, a groundbreaking augmented reality (AR) technology platform enables surgeons... Read more

Patient Care

view channel
Image: The portable, handheld BeamClean technology inactivates pathogens on commonly touched surfaces in seconds (Photo courtesy of Freestyle Partners)

First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds

Reducing healthcare-acquired infections (HAIs) remains a pressing issue within global healthcare systems. In the United States alone, 1.7 million patients contract HAIs annually, leading to approximately... 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: POCT offers cost-effective, accessible, and immediate diagnostic solutions (Photo courtesy of Flinders University)

POCT for Infectious Diseases Delivers Laboratory Equivalent Pathology Results

On-site pathology tests for infectious diseases in rural and remote locations can achieve the same level of reliability and accuracy as those conducted in hospital laboratories, a recent study suggests.... Read more

Business

view channel
Image: The finalists have been announced for the IHF Awards 2024 (Photo courtesy of IHF)

International Hospital Federation Awards 2024 Finalists Announced

The International Hospital Federation (IHF; Geneva, Switzerland) has announced the finalists of the IHF Awards 2024 after the judges completed scoring entries in all 7 Award categories. The IHF Awards... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.