Cardiac arrhythmias amongst hospitalised Coronavirus 2019 (COVID-19) patients: Prevalence, characterisation, and clinical algorithm to classify arrhythmic risk.
Moshe Rav AchaAmir OrlevItay ItzhakiFrederic S ZimmermanBashar FteihaDavina BohmRamzi KurdTal Y SamuelElad AsherYigal HelvizMichael GliksonYoav MichowitzPublished in: International journal of clinical practice (2021)
Dominant arrhythmia amongst COVID-19 patients is AF. Arrhythmia prevalence is associated with age, disease severity, CHF, and troponin levels. A novel simple Classification tree, based on these parameters, can discriminate between high and low arrhythmic risk patients.
Keyphrases
- sars cov
- end stage renal disease
- machine learning
- risk factors
- deep learning
- ejection fraction
- chronic kidney disease
- newly diagnosed
- atrial fibrillation
- peritoneal dialysis
- heart failure
- left ventricular
- patient reported outcomes
- respiratory syndrome coronavirus
- congenital heart disease
- catheter ablation
- community acquired pneumonia