Electrocardiographic QRS axis shift, rotation and COVİD-19
S Koc1, V O Bozkaya1, A B Yikilgan1
1Department of Cardiology, İnfectious Disease, Unıversity of Health Sciences, Keçiören Education and Training Hospital, Ankara, Turkey.
Electrocardiographic clockwise rotation with rightward axis shift in COVID-19 patients with low oxygen saturation can predict advanced lung disease. This finding aids in assessing disease severity and guiding treatment decisions for coronavirus disease-2019.
Area of Science:
- Cardiology
- Pulmonology
- Medical Imaging
Background:
- Severe dyspnea is a critical complication of coronavirus disease-2019 (COVID-19).
- Electrocardiographic frontal QRS axis rightward shift (Rws) and clockwise rotation (Cwr) can occur with severe respiratory compromise.
Purpose of the Study:
- To investigate the predictability of advanced lung tomography findings using QRS axis shift and rotation in COVID-19 patients.
- To correlate electrocardiographic findings with tomographic staging and clinical parameters.
Main Methods:
- Retrospective analysis of 160 COVID-19 patients, divided into normal (n=80) and low (n=80) oxygen saturation groups.
- Further stratification based on electrocardiographic rightward (Rws) and leftward (Lws) axis shifts.
- Comparison of groups based on electrocardiographic rotation, tomographic stage (CO-RADS), electrocardiographic intervals, and laboratory findings.
Main Results:
- In patients with low oxygen saturation, Rws and Cwr were significantly higher compared to the Lws group.
- No significant differences in these parameters were observed between Rws and Lws groups in patients with normal oxygen saturation.
- Logistic regression indicated that Cwr and Rws independently increased the risk of advanced lung disease (CO-RADS5) by 18.9 and 4.6 fold, respectively, in hypoxemic patients.
Conclusions:
- Electrocardiographic Cwr and Rws are valuable predictors of advanced lung disease in COVID-19 patients with dyspnea and low oxygen saturation.
- These electrocardiographic findings demonstrated good sensitivity (80%) and specificity (80%) for predicting advanced lung tomographic findings in this patient cohort.
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