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Are Pre-Hospitalization ECG Abnormalities Associated With Increased Mortality in COVID-19 Patients? A Quantitative Systematic Literature Review.
Ann Noninvasive Electrocardiol
November 2024
Senior Lecturer in Health Statistics, University of the West of England, Bristol, UK.
Article Synopsis
- COVID-19 can lead to serious cardiovascular issues, with pre-hospital ECG abnormalities potentially indicating higher mortality risk in patients.
- A systematic review analyzed eight studies focusing on ECG changes before hospitalization and how they relate to outcomes in COVID-19 patients.
- Findings suggest that certain ECG abnormalities, like non-sinus rhythm and QTc prolongation, are significantly linked to higher mortality rates, highlighting the importance of ECG assessments before hospital admission.
Background: The importance of prehospital (PH) electrocardiograms (ECG) recorded by emergency medical services (EMS) for diagnosing coronary artery spasm-induced acute coronary syndrome (CS-ACS) remains unclear.
Methods And Results: We enrolled 340 consecutive patients with ACS who were transported by EMS within 12 h of symptom onset. According to Japanese Circulation Society guidelines, CS-ACS (n=48) was diagnosed with or without a pharmacological provocation test (n=34 and n=14, respectively).
Clinical usability of deep learning-based saliency maps for occlusion myocardial infarction identification from the prehospital 12-Lead electrocardiogram.
J Electrocardiol
December 2024
Division of Cardiology, University of Pittsburgh, Pittsburgh, PA, USA; Department of Emergency Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Department of Acute and Tertiary Care Nursing, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address:
Introduction: Deep learning (DL) models offer improved performance in electrocardiogram (ECG)-based classification over rule-based methods. However, for widespread adoption by clinicians, explainability methods, like saliency maps, are essential.
Methods: On a subset of 100 ECGs from patients with chest pain, we generated saliency maps using a previously validated convolutional neural network for occlusion myocardial infarction (OMI) classification.
Smartphone App for Prehospital ECG Transmission in ST-Elevation Myocardial Infarction Activation: Protocol for a Mixed Methods Study.
JMIR Res Protoc
September 2024
Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada.
Background: Timely diagnosis and treatment for ST-elevation myocardial infarction (STEMI) requires a coordinated response from multiple providers. Rapid intervention is key to reducing mortality and morbidity. Activation of the cardiac catheterization laboratory may occur through verbal communication and may also involve the secure sharing of electrocardiographic images between frontline health care providers and interventional cardiologists.
View Article and Find Full Text PDFArtificial Intelligence Driven Prehospital ECG Interpretation for the Reduction of False Positive Emergent Cardiac Catheterization Lab Activations: A Retrospective Cohort Study.
Prehosp Emerg Care
September 2024
Department of Emergency Medicine, University of Minnesota Medical School, Minneapolis, Minnesota.
Objectives: Data suggest patients suffering acute coronary occlusion myocardial infarction (OMI) benefit from prompt primary percutaneous intervention (PPCI). Many emergency medical services (EMS) activate catheterization labs to reduce time to PPCI, but suffer a high burden of inappropriate activations. Artificial intelligence (AI) algorithms show promise to improve electrocardiogram (ECG) interpretation.
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