Arrhythmic profile and 24-hour QT interval variability in COVID-19 patients treated with hydroxychloroquine and

Alberto Cipriani1, Alessandro Zorzi1, Davide Ceccato2

  • 1Department of Cardio-Thoraco-Vascular Sciences and Public Health, Padua, Italy.

Insights

Hydroxychloroquine and azithromycin increase corrected QT-interval (QTc) in COVID-19 patients. QTc duration is stable throughout the day, meaning multiple daily ECGs are not necessary for monitoring these patients.

Area of Science:

  • Cardiology
  • Infectious Diseases
  • Pharmacology

Background:

  • Hydroxychloroquine and azithromycin are commonly used for COVID-19.
  • Both drugs can prolong the corrected QT-interval (QTc), necessitating electrocardiographic (ECG) monitoring.
  • The diurnal variation of QTc interval in COVID-19 patients on this therapy is not well-established.

Purpose of the Study:

  • To assess the impact of hydroxychloroquine and azithromycin on QTc interval in COVID-19 patients.
  • To determine the diurnal variability of QTc interval in these patients.
  • To evaluate the need for frequent ECG monitoring during combination therapy.

Main Methods:

  • 12-lead ECGs and 24-hour Holter monitoring were performed on COVID-19 patients (<80 years) on hydroxychloroquine and azithromycin.
  • A control group of healthy individuals matched for age and sex was included.
  • QTc intervals and heart rhythm abnormalities were analyzed.

Main Results:

  • Combination therapy significantly prolonged QTc interval compared to baseline (450 vs 426 ms).
  • Four patients with QTc ≥ 480 ms had elevated liver transaminases (AST and ALT).
  • 24-hour QTc dynamics showed higher QTc in COVID-19 patients but no significant hourly variability; no serious arrhythmias were observed.

Conclusions:

  • Hydroxychloroquine and azithromycin therapy prolongs QTc interval in COVID-19 patients, especially those with elevated transaminases.
  • QTc duration is stable over 24 hours, suggesting that multiple daily ECGs are not recommended.
  • This finding aids in optimizing patient monitoring protocols during COVID-19 treatment.
Abstract

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