Relationship of right ventricular functions with in-hospital and 1 year later mortality in patients hospitalized for COVID-19 pneumonia.

BACKGROUND: The aim of this study was to determine the association of right ventricular function with in-hospital mortality and mortality 1 year after discharge in patients hospitalized for COVID-19 pneumonia. METHODS: The study was conducted in Van Yuzuncu Yil University Faculty of Medicine hospital between February 10, 2021 and August 10, 2022. A total of 156 patients hospitalized in intensive care and wards due to COVID-19 pneumonia were included in this study. Echocardiography was performed in all patients. RESULTS: Among the demographic findings of the patients included in the study, male gender, patients hospitalized in the intensive care unit (ICU), patients receiving O2 support, and smokers were found to have higher mortality rates during hospitalization. At the end of 1 year, the mortality rate was higher in patients who were hospitalized in the ICU received O2 support and had diabetes mellitus. Among echocardiographic findings, those with a low left ventricular ejection fraction had higher early and 1-year mortality rates. Of the right ventricular functions, low fractional area change, high systolic pulmonary artery pressure (SPAP), shortened pulmonary acceleration time, low right ventricle systolic wave S' velocity, increased right atrium area, and inferior vena cava diameter were found to be associated with high mortality. Increased right atrial area and inferior vena cava diameter, increased SPAP, and shortened pulmonary acceleration time were found to be significant in 1-year mortality. The presence of pericardial effusion was associated with mortality during hospitalization but not with 1-year mortality. B-type natriuretic peptide, D-dimer, and hemoglobin levels were significantly correlated with both hospital mortality and 1-year mortality. CONCLUSIONS: In the follow-up of COVID-19 pneumonia, right ventricular function is considered to be an important factor in early and late mortality. It could be helpful to establish a follow-up program for discharged patients from the parameters involved in mortality.

Cross-sectional angle prediction of lipid-rich and calcified tissue on computed tomography angiography images.

PURPOSE: The assessment of vulnerable plaque characteristics and distribution is important to stratify cardiovascular risk in a patient. Computed tomography angiography (CTA) offers a promising alternative to invasive imaging but is limited by the fact that the range of Hounsfield units (HU) in lipid-rich areas overlaps with the HU range in fibrotic tissue and that the HU range of calcified plaques overlaps with the contrast within the contrast-filled lumen. This paper is to investigate whether lipid-rich and calcified plaques can be detected more accurately on cross-sectional CTA images using deep learning methodology. METHODS: Two deep learning (DL) approaches are proposed, a 2.5D Dense U-Net and 2.5D Mask-RCNN, which separately perform the cross-sectional plaque detection in the Cartesian and polar domain. The spread-out view is used to evaluate and show the prediction result of the plaque regions. The accuracy and F1-score are calculated on a lesion level for the DL and conventional plaque detection methods. RESULTS: For the lipid-rich plaques, the median and mean values of the F1-score calculated by the two proposed DL methods on 91 lesions were approximately 6 and 3 times higher than those of the conventional method. For the calcified plaques, the F1-score of the proposed methods was comparable to those of the conventional method. The median F1-score of the Dense U-Net-based method was 3% higher than that of the conventional method. CONCLUSION: The two methods proposed in this paper contribute to finer cross-sectional predictions of lipid-rich and calcified plaques compared to studies focusing only on longitudinal prediction. The angular prediction performance of the proposed methods outperforms the convincing conventional method for lipid-rich plaque and is comparable for calcified plaque.

Awareness and Knowledge of Pneumococcal Vaccination in Cardiology Outpatient Clinics and the Impact of Physicians' Recommendations on Vaccination Rates.

AIM: We aimed to evaluate the awareness of pneumococcal vaccination (PCV13, PPSV23) in general cardiology outpatient clinics and impact of physicians' recommendations on vaccination rates. METHODS: This was a multicenter, observational, prospective cohort study. Patients over the age of 18 from 40 hospitals in different regions of Turkey who applied to the cardiology outpatient clinic between September 2022 and August 2021 participated. The vaccination rates were calculated within three months of follow-up from the admitting of the patient to cardiology clinics. RESULTS: The 403 (18.2%) patients with previous pneumococcal vaccination were excluded from the study. The mean age of study population (n = 1808) was 61.9 ± 12.1 years and 55.4% were male. The 58.7% had coronary artery disease, hypertension (74.1%) was the most common risk factor, and 32.7% of the patients had never been vaccinated although they had information about vaccination before. The main differences between vaccinated and unvaccinated patients were related to education level and ejection fraction. The physicians' recommendations were positively correlated with vaccination intention and behavior in our participants. Multivariate logistic regression analysis showed a significant correlation between vaccination and female sex [OR = 1.55 (95% CI = 1.25-1.92), p < 0.001], higher education level [OR = 1.49 (95% CI = 1.15-1.92), p = 0.002] patients' knowledge [OR = 1.93 (95% CI = 1.56-2.40), p < 0.001], and their physician's recommendation [OR = 5.12 (95% CI = 1.92-13.68), p = 0.001]. CONCLUSION: To increase adult immunization rates, especially among those with or at risk of cardiovascular disease (CVD), it is essential to understand each of these factors. Even if during COVID-19 pandemic, there is an increased awareness about vaccination, the vaccine acceptance level is not enough, still. Further studies and interventions are needed to improve public vaccination rates.

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.

Interpretation of arrhythmogenic effects of COVID-19 disease through ECG.

OBJECTIVE: We aimed to detect the malignant arrhythmic potential of COVID-19 with surface electrocardiographic (ECG) markers. MATERIAL AND METHOD: Of the ECG parameters PR, QT, QTc, QTd, TPe, and Tpe/QTc were measured in 51 COVID-19 patients and 40 in control subjects. RESULTS: Compared to control group mean QTc (410.8 ± 24.3 msec vs. 394.6 ± 20.3 msec, p < .001) and Tpe/QTc (0.19 ± 0.02 vs. 0.18 ± 0.04, p = .036) and median QTd (47.52 vs. 46.5) values were significantly higher in COVID-19 patients. Troponin levels were significantly correlated with heart rate (r = 0.387, p = .006) but not with ECG parameters. CONCLUSION: Several ventricular arrhythmia surface ECG predictors including QTc, QTd, and Tpe/QTc are increased in COVID-19 patients. Since medications used in COVID-19 patients have the potential to affect these parameters, giving importance to these ECG markers may have a significant contribution in decreasing disease-related arrhythmias.