Results 81 to 90 of about 129,911 (215)

In-hospital cardiac arrest characteristics, causes and outcomes in patients with cardiovascular disease across different departments: a retrospective study

BMC Cardiovascular Disorders
Background Cardiac etiologies arrest accounts for almost half of all in-hospital cardiac arrest (IHCA), and previous studies have shown that the location of IHCA is an important factor affecting patient outcomes.
Ya Zhang, Yang Yu, Ping Qing, Xiaojie Liu, Yao Ding, Jingcan Wang, Hushan Ao   +6 more
doaj   +1 more source

High-Throughput Detection of Risk Factors to Sudden Cardiac Arrest in Youth Athletes: A Smartwatch-Based Screening Platform [PDF]

arXiv
Sudden Cardiac Arrest (SCA) is the leading cause of death among athletes of all age levels worldwide. Current prescreening methods for cardiac risk factors are largely ineffective, and implementing the International Olympic Committee recommendation for 12-lead ECG screening remains prohibitively expensive.
arxiv  

Outcome prediction in patients after out-of-hospital cardiac arrest cannot be improved by prolonging observation [PDF]

, 1997
Daniela Codazzi, S. Pifferi, M. Savioli, Mario Peta, Martin Langer   +4 more
openalex   +1 more source

Multimodal deep learning approach to predicting neurological recovery from coma after cardiac arrest [PDF]

arXiv
This work showcases our team's (The BEEGees) contributions to the 2023 George B. Moody PhysioNet Challenge. The aim was to predict neurological recovery from coma following cardiac arrest using clinical data and time-series such as multi-channel EEG and ECG signals.
arxiv  

Public Access Defibrillator Deployment for Cardiac Arrests: A Learn-Then-Optimize Approach with SHAP-based Interpretable Analytics [PDF]

arXiv
Out-of-hospital cardiac arrest (OHCA) survival rates remain extremely low due to challenges in the timely accessibility of medical devices. Therefore, effective deployment of automated external defibrillators (AED) can significantly increase survival rates.
arxiv  

Early Risk Prediction of Pediatric Cardiac Arrest from Electronic Health Records via Multimodal Fused Transformer [PDF]

arXiv
Early prediction of pediatric cardiac arrest (CA) is critical for timely intervention in high-risk intensive care settings. We introduce PedCA-FT, a novel transformer-based framework that fuses tabular view of EHR with the derived textual view of EHR to fully unleash the interactions of high-dimensional risk factors and their dynamics.
arxiv  

Memory Impairment in Out-of-Hospital Cardiac Arrest Survivors Is Associated With Global Reduction in Brain Volume, Not Focal Hippocampal Injury [PDF]

, 2000
Neil R. Grubb, Keith A.A. Fox, Karen Bulmer Smith, Jonathan Best, Annette Blane, Klaus P. Ebmeier, Michael F. Glabus, Ronan E. O’Carroll   +7 more
openalex   +1 more source

Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model [PDF]

arXiv
Non-invasive patient monitoring for tracking and predicting adverse acute health events is an emerging area of research. We pursue in-hospital cardiac arrest (IHCA) prediction using only single-channel finger photoplethysmography (PPG) signals. Our proposed two-stage model Feature Extractor-Aggregator Network (FEAN) leverages powerful representations ...
arxiv  

Out‐of‐hospital cardiac arrest survivors: Effect of cerebral anoxia on cognitive and motor speed and visual information processing [PDF]

, 2000
N. Grubb, Colin R Simpson, Ronan E. O’Carroll, Ian J. Deary, Keith A.A. Fox   +4 more
openalex   +1 more source

The German Resuscitation Registry – Epidemiological data for out-of-hospital and in-hospital cardiac arrest

Resuscitation Plus
Introduction: The German Resuscitation Registry was started in 2007 and collects data on out-of-hospital as well as in-hospital cardiac arrest and resuscitation. It has collected more than 400.000 datasets till today.
Jan Wnent, Jan-Thorsten Gräsner, Matthias Fischer, Alexandra Ramshorn-Zimmer, Andreas Bohn, Berthold Bein, Stephan Seewald   +6 more
doaj