Prognostic significance of Tp-e interval and Tp-e/QTc ratio in patients with COVID-19

O Sit1, D Oksen, A Atici

  • 1University of Health Sciences, Okmeydani Training and Research Hospital, Department of Cardiology, Istanbul, Turkey. adematici10@gmail.com.

Insights

Electrocardiography (ECG) repolarization parameters, specifically prolonged T wave peak-to-end (Tp-e) interval and increased Tp-e/QTc ratio, predict mortality in COVID-19 patients. These ECG findings aid in assessing prognosis and guiding treatment for ventricular arrhythmias.

Area of Science:

  • Cardiology
  • Infectious Diseases
  • Medical Diagnostics

Background:

  • Ventricular arrhythmias are a frequent complication of COVID-19.
  • Disease progression and drug treatments can impact ventricular repolarization.
  • Surface electrocardiography (ECG) offers a non-invasive method to assess cardiac electrical activity.

Purpose of the Study:

  • To investigate the prognostic value of ventricular repolarization parameters derived from surface ECG in COVID-19 patients.
  • To determine if specific ECG repolarization metrics can predict mortality risk.
  • To correlate ECG findings with clinical outcomes in hospitalized COVID-19 patients.

Main Methods:

  • A cohort of 205 hospitalized COVID-19 patients was analyzed.
  • 12-lead surface ECGs were recorded upon admission.
  • ECG parameters, including T wave peak-to-end (Tp-e) interval and Tp-e/QTc ratio, were evaluated alongside clinical data and patient outcomes by cardiology specialists.

Main Results:

  • Older age, elevated D-dimer, and increased high-sensitivity troponin I were associated with mortality.
  • Pneumonia on CT scan significantly increased mortality risk (OR: 4.985).
  • Prolonged Tp-e interval (OR: 3.421) and elevated Tp-e/QTc ratio (OR: 1.978) were independent predictors of mortality.

Conclusions:

  • Prolonged Tp-e interval and increased Tp-e/QTc ratio on admission are significant predictors of mortality in COVID-19 patients.
  • Surface ECG is a valuable tool for assessing prognosis and guiding treatment strategies for COVID-19 patients at risk of arrhythmias.
  • Early identification of patients at high risk for adverse outcomes can be facilitated by ECG analysis.
Abstract

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