Table_1_Electrocardiogram abnormalities and prognosis in COVID-19.docx (13.37 kB)
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Table_1_Electrocardiogram abnormalities and prognosis in COVID-19.docx

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posted on 2022-10-05, 04:33 authored by Gabriel Chevrot, Marie Hauguel-Moreau, Marion Pépin, Antoine Vieillard-Baron, Anne-Sophie Lot, Mounir Ouadahi, Hélène Hergault, Vincent Aïdan, Ségolène Greffe, Adrien Costantini, Olivier Dubourg, Sébastien Beaune, Nicolas Mansencal

COVID-19 is a major pandemic with potential cardiovascular complications. Few studies have focused on electrocardiogram (ECG) modifications in COVID-19 patients.

Method and results

We reviewed from our database all patients referred to our hospital for COVID-19 between January 1st, 2020, and December 31st, 2020: 669 patients were included and 98 patients died from COVID-19 (14.6%). We systematically analyzed ECG at admission and during hospitalization if available. ECG was abnormal at admission in 478 patients (71.4%) and was more frequently abnormal in patients who did not survive (88.8 vs. 68.5%, p < 0.001). The most common ECG abnormalities associated with death were left anterior fascicular block (39.8 vs. 20.0% among alive patients, p < 0.001), left and right bundle branch blocks (p = 0.002 and p = 0.02, respectively), S1Q3 pattern (14.3 vs. 6.0%, p = 0.006). In multivariate analysis, at admission, the presence of left bundle branch block remained statistically related to death [OR = 3.82, 95% confidence interval (CI): 1.52–9.28, p < 0.01], as well as S1Q3 pattern (OR = 3.17, 95% CI: 1.38–7.03, p < 0.01) and repolarization abnormalities (OR = 2.41, 95% CI: 1.40–4.14, p < 0.01).

On ECG performed during hospitalization, the occurrence of new repolarization abnormality was significantly related to death (OR = 2.72, 95% CI: 1.14–6.54, p = 0.02), as well as a new S1Q3 pattern (OR = 13.23, 95% CI: 1.49–286.56, p = 0.03) and new supraventricular arrhythmia (OR = 3.8, 95% CI: 1.11–13.35, p = 0.03).


The presence of abnormal ECG during COVID-19 is frequent. Physicians should be aware of the usefulness of ECG for risk stratification during COVID-19.