Electrocardiogram analysis of patients with different types of COVID-19

Yina Wang1, Lie Chen1, Jingyi Wang1

  • 1Division of Cardiology and Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Insights

Electrocardiogram (ECG) changes like ST-T changes, sinus tachycardia, and atrial fibrillation are significant in diagnosing COVID-19 severity and cardiac issues. These arrhythmias can predict in-hospital death and ventilator use in patients with coronavirus disease 2019.

Area of Science:

  • Cardiology
  • Infectious Diseases
  • Critical Care Medicine

Background:

  • Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, causing coronavirus disease 2019 (COVID-19), is associated with myocardial damage and arrhythmias.
  • Electrocardiogram (ECG) monitoring is crucial for assessing COVID-19 patients' cardiac status.

Purpose of the Study:

  • To compare ECG changes between critically severe and severe COVID-19 patients.
  • To identify risk factors for ST-T changes and atrial fibrillation in COVID-19.
  • To investigate the predictive value of ECG parameters for in-hospital mortality and ventilator use.

Main Methods:

  • Retrospective analysis of ECG data from COVID-19 patients.
  • Univariate and multivariate logistic regression to analyze correlations between serum markers, medical history, and ECG findings.
  • Assessment of ECG parameters' association with in-hospital death and ventilator use.

Main Results:

  • Critically severe COVID-19 patients exhibited higher rates of male sex, stroke, elevated cardiac troponin I (cTnI), N-terminal of the prohormone brain natriuretic peptide (NT-proBNP), d-dimer, hs-CRP, hyperkalemia, and hypocalcemia.
  • Significant differences in ST-T changes, sinus tachycardia, atrial fibrillation, and atrial tachycardia were observed between groups.
  • Elevated cTnI and NT-proBNP were independent risk factors for ST-T changes; elevated NT-proBNP and age for atrial fibrillation.
  • Sinus tachycardia and atrial fibrillation independently predicted in-hospital death and ventilator use.

Conclusions:

  • ECG abnormalities including ST-T changes, sinus tachycardia, and atrial fibrillation are vital for diagnosing COVID-19 severity, myocardial injury, and cardiac insufficiency.
  • Sinus tachycardia and atrial fibrillation serve as independent predictors of adverse outcomes, including in-hospital death and need for mechanical ventilation.
Abstract

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