Electrocardiogram abnormalities and prognosis in COVID-19.
Gabriel Chevrot1, Marie Hauguel-Moreau1,2, Marion Pépin2,3
1Department of Cardiology, Ambroise Paré Hospital, Assistance Publique-Hôpitaux de Paris (AP-HP), Centre de référence des cardiomyopathies et des troubles du rythme cardiaque héréditaires ou rares, Université de Versailles-Saint Quentin (UVSQ), Boulogne-Billancourt, France.
Electrocardiogram (ECG) abnormalities are common in COVID-19 patients, particularly those who do not survive. Specific ECG findings like left bundle branch block and S1Q3 pattern at admission indicate a higher risk of death.
Area of Science:
- Cardiology
- Infectious Diseases
- Medical Diagnostics
Background:
- COVID-19 poses significant cardiovascular risks, yet electrocardiogram (ECG) changes are understudied.
- Understanding ECG modifications in COVID-19 is crucial for patient management.
Purpose of the Study:
- To investigate the prevalence and significance of electrocardiogram (ECG) abnormalities in COVID-19 patients.
- To determine if specific ECG findings can predict mortality in COVID-19.
Main Methods:
- Retrospective analysis of 669 COVID-19 patients admitted between January and December 2020.
- Systematic review of electrocardiogram (ECG) data at admission and during hospitalization.
- Multivariate analysis to identify independent predictors of mortality.
Main Results:
- 71.4% of patients had abnormal ECGs at admission, with higher rates in non-survivors (88.8%).
- Key predictors of death included left anterior fascicular block, bundle branch blocks, and S1Q3 pattern.
- New ECG abnormalities during hospitalization, such as repolarization changes and supraventricular arrhythmias, also correlated with increased mortality.
Conclusions:
- Electrocardiogram (ECG) abnormalities are frequent in COVID-19 patients and valuable for risk stratification.
- Clinicians should utilize ECG findings to assess prognosis and guide management in COVID-19 cases.
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