Background: Success rates of cardiopulmonary resuscitation (CPR) in in-hospital cardiac arrest (INCA) and out-of-hospital cardiac arrest OOHCA is reported to be 15% and 3%, respectively. However, people in the general population have high and unrealistic
Thamer Khalid Zoghbi+2 more
doaj +1 more source
Phased Chest and Abdominal Compression-Decompression Versus Conventional Cardiopulmonary Resuscitation in Out-of-Hospital Cardiac Arrest [PDF]
Hans-Richard Arntz+8 more
openalex +1 more source
Multimodal deep learning approach to predicting neurological recovery from coma after cardiac arrest [PDF]
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
Psychosocial therapy reduced the risk of cardiovascular death at 2 years after "out of hospital" sudden cardiac arrest [PDF]
L A Palinkas
openalex +1 more source
Public Access Defibrillator Deployment for Cardiac Arrests: A Learn-Then-Optimize Approach with SHAP-based Interpretable Analytics [PDF]
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
Epinephrine for Out‐of‐hospital Cardiac Arrest [PDF]
Ian S. deSouza, Kyle Kelson
openaire +3 more sources
Early Risk Prediction of Pediatric Cardiac Arrest from Electronic Health Records via Multimodal Fused Transformer [PDF]
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
Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model [PDF]
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
Surgical coronary revascularization and antiarrhythmic therapy in survivors of out-of-hospital cardiac arrest [PDF]
Abeel A. Mangi+7 more
openalex +1 more source
Factors associated with survival to hospital discharge among patients hospitalised alive after out of hospital cardiac arrest: change in outcome over 20 years in the community of Goteborg, Sweden [PDF]
Johan Herlitz
openalex +1 more source