Abstract
COVID-19 can cause lung damage and may present with pneumonia in patients. In the present study, the correlation between the severity of pneumonia and electrocardiography parameters of COVID-19 were examined. A total of 93 COVID-19 patients and a control group consisting of 62 volunteers were studied. Computed thorax tomography evaluation was performed; each lung was divided into three zones. For each affected zone, scores were given. The main computed thorax tomography patterns were described in line with the terms defined by the Fleischner Society and peer reviewed literature on viral pneumonia. We compared Computed thorax tomography of patients with corrected QT (QTc) and P wave dispersion (Pd) time. There is a significant difference between the patient and control groups in terms of QTc values (413.5±28.8 msec vs. 395.6±16.7 msec p<0.001). Likewise, the Pd value of the patient group is statistically significantly higher than that of the control group (50.0±9.6 ms computed thorax tomography ec vs. 41.3±5.8 msec p<0.001). In the patient group, a reverse correlation was detected between computed thorax tomography score and Pd value according to partial correlation coefficient analysis (correlation coefficient: -0.232, p=0.027). In the patient group, the correlation between computed thorax tomography score and QTc value was similarly determined according to partial correlation coefficient analysis (Correlation coefficient:0.224, p=0.017). COVID-19 prolongs QTc and P wave dispersion values; and as the severity of pneumonia increases, QTc value increases. However, whereas the severity of pneumonia increases, P wave dispersion value decreases.
Highlights
The COVID-19 disease first appeared in Wuhan, province in China, in December 2019
A total of 93 COVID-19 patients and a control group consisting of 62 volunteers who applied in our hospital from April to July 2020 were enrolled
A reverse correlation was detected between computed tomography (CT) score and P wave dispersion (Pd) value according to Partial correlation coefficient analysis (Correlation coefficient: -0.232, p=0.027)
Summary
The COVID-19 disease first appeared in Wuhan, province in China, in December 2019. It quickly spread to other regions of China and other countries, and caused a pandemic[1]. COVID19 has the feature to affect many organs, especially the lungs, but lung involvement and pneumonia are among the most important mortalities[2]. Reverse transcription polymerase chain reaction and computed tomography (CT) are generally used in diagnosis[3]. In this manner, pneumonia can be interpreted with CT. Aside from the lungs, the heart is one of the affected organs, presenting with symptoms such as arrhythmia, heart muscle damage, and heart failure[5]. The QT duration in electrocardiography (ECG) of COVID-19 patients
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