Publications by authors named "K Reinier"
Survival after out-of-hospital cardiac arrest (OHCA) remains low, although the number of survivors is increasing, and survivors are living longer. With increasing long-term survival, there is a need to understand health-related quality of life (HRQoL) measures. Although there are current recommendations for measuring HRQoL in OHCA survivors, there is significant heterogeneity in assessment timing and the measurement tools used to quantify HRQoL outcomes, making the interpretation and comparison of HRQoL difficult.
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- A deep learning (DL) algorithm was developed to improve the accuracy of predicting sudden cardiac death (SCD) risk using 12-lead ECG data, as conventional ECG-based methods had moderate predictive capabilities.
- The study analyzed 1,827 ECGs from SCD cases and validated the DL model against external data, showing improved performance with an AUROC of 0.889 compared to the conventional model's score of 0.712.
- The findings suggest that the DL model could significantly enhance SCD risk assessment, warranting further investigation into its clinical applications.
Background: There is no specific treatment for sudden cardiac arrest (SCA) manifesting as pulseless electric activity (PEA) and survival rates are low; unlike ventricular fibrillation (VF), which is treatable by defibrillation. Development of novel treatments requires fundamental clinical studies, but access to the true initial rhythm has been a limiting factor.
Methods: Using demographics and detailed clinical variables, we trained and tested an AI model (extreme gradient boosting) to differentiate PEA-SCA versus VF-SCA in a novel setting that provided the true initial rhythm.
Ventricular fibrillation and the proteome problem: can we solve it?
Eur Heart J Acute Cardiovasc Care
March 2024
Background And Aims: Electrocardiogram (ECG) abnormalities have been evaluated as static risk markers for sudden cardiac death (SCD), but the potential importance of dynamic ECG remodelling has not been investigated. In this study, the nature and prevalence of dynamic ECG remodelling were studied among individuals who eventually suffered SCD.
Methods: The study population was drawn from two prospective community-based SCD studies in Oregon (2002, discovery cohort) and California, USA (2015, validation cohort).