INTRODUCTION

For detecting myocardial injury in severe and critical COVID-19, the electrocardiogram (ECG) is neither sensitive nor specific, but in a resource-poor environment, it remains relevant. Changes in the ECG can be a potential marker of severe and critical COVID 19 to be used for predicting not only disease severity but also the prognosis for recovery.

METHODS

The admitting and interval ECGs of 1333 COVID-19 patients were reviewed in a 2-year, single-center, retrospective cohort study. Each was evaluated for 29 predefined ECG patterns under the categories of rhythm; rate; McGinn-White and right ventricular, axis, and QRS abnormalities; ischemia/infarct patterns; and atrioventricular blocks before univariate and multivariate regression analyses for correlation with disease severity, need for advanced ventilatory support, and in-hospital mortality.

RESULTS

Of the 29 ECG patterns, 18 showed a significant association with the dependent variables on univariate analysis. Multivariate analysis revealed that atrial fibrillation, heart rate greater than 100 beats per minute, low QRS voltage, QTc of 500 milliseconds or greater, diffuse nonspecific T-wave changes, and “any acute anterior myocardial infarction” ECG patterns correlate with disease severity, need for advanced ventilatory support, and in-hospital mortality. S1Q3 and S1Q3T3 increased the odds of critical disease and need for high oxygen requirement by 2.5- to 3-fold. Fractionated QRS increased the odds of advanced ventilatory support.

CONCLUSION

The ECG can be useful for predicting the severity and outcome of more than moderate COVID-19. Their use can facilitate rapid triage, predict disease trajectory, and prompt a decision to intensify therapy early in the disease to make a positive impact on clinical outcomes.

Covid-19 ; Disease Severity ; Patient Acuity ; In-hospital Mortality ; Hospital Mortality