Cardiovascular Surgeons' Medical Perspectives Regarding Social Media Usage: a Survey Analysis

Abstract Introduction: We aimed to evaluate the use of social media among cardiovascular surgery specialists and their respective perspectives. Methods: In total, 173 cardiovascular surgeons were reached through an online survey. The surgeons surveyed were cardiovascular surgery specialists. The questionnaire consisted of 33 questions, including closed-ended and open-ended questions about social media. Results: We found that 73.4% of the participants think that social media facilitates the communication of the patient with the doctor, and 87.9% think that social media increases the publicity of the physician. Furthermore, 80.9% of the participants believe that informing through social media creates information pollution. We found that personal use of Instagram was more common in state hospital cardiac surgeons. The number of patients who contacted surgeons in private hospital for surgery via social media were found to be statistically significant, and it was found that this group benefitted more economically. Conclusion: Social media usage rates of cardiovascular surgeons were found to be high. On the other hand, it was observed that the rate of surgeons who share medical content is low. However, half the cardiovascular surgeons who participated in the study believe that their colleagues do not fully comply with the ethical rules in medical sharing.

Cardiovascular Surgeons' Medical Perspectives Regarding Social Media Usage: a Survey Analysis.

INTRODUCTION: We aimed to evaluate the use of social media among cardiovascular surgery specialists and their respective perspectives. METHODS: In total, 173 cardiovascular surgeons were reached through an online survey. The surgeons surveyed were cardiovascular surgery specialists. The questionnaire consisted of 33 questions, including closed-ended and open-ended questions about social media. RESULTS: We found that 73.4% of the participants think that social media facilitates the communication of the patient with the doctor, and 87.9% think that social media increases the publicity of the physician. Furthermore, 80.9% of the participants believe that informing through social media creates information pollution. We found that personal use of Instagram was more common in state hospital cardiac surgeons. The number of patients who contacted surgeons in private hospital for surgery via social media were found to be statistically significant, and it was found that this group benefitted more economically. CONCLUSION: Social media usage rates of cardiovascular surgeons were found to be high. On the other hand, it was observed that the rate of surgeons who share medical content is low. However, half the cardiovascular surgeons who participated in the study believe that their colleagues do not fully comply with the ethical rules in medical sharing.

Is there a relation between computed tomography findings and electrocardiography findings in COVID-19?

OBJECTIVE: 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. METHODS: 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. RESULTS: 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). CONCLUSIONS: 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.

Is there a relation between computed tomography findings and electrocardiography findings in COVID-19?

SUMMARY OBJECTIVE: 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. METHODS: 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. RESULTS: 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). CONCLUSIONS: 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.