An interesting finding: What is the relation between aortic enlargement and COVID-19?

BACKGROUND: We aim to compare the diameters of ascending aorta in COVID-19 patients and COVID-19-free individuals referred to our pandemic hospital. METHODS: The medical records and thorax tomographies of patients admitted to the "pandemic central" state hospital with symptoms of COVID-19 were observed between April 2020 and May 2020 in this case-control study. The first group consisted of patients diagnosed with COVID-19, and the second group consisted of patients without the disease. The diameter of the ascending aorta is measured via tomography and compared to each other. The most causative risk factors for aortic enlargements underwent a multivariate regression analysis. RESULTS: Charts of 156 patients (104 COVID-19 positives, 52 COVID-19 negatives) were reviewed. There was a statistical difference (p: .01) between the mean aortic diameter of COVID-19 patients (39 mm) and COVID-free patients (32.5 mm) even though comorbid factors and patient characteristics were similar in the two groups at the time of hospital admission. The regression analysis result demonstrates that COVID-19 (leading factor), age, and coronary artery disease were the most significant factors associated with increasing aortic dimensions. (p: .001, B: 5.3/, p: .02, B: 3.36/, p: .002, B: 0.13/, R square: 40.2%). CONCLUSION: This study shows that the mean aortic diameter of COVID-19 patients is larger than non-COVID-19 patients with similar comorbidities referred to a pandemic hospital. COVID-19, age, and coronary artery disease are the most influential factors that affect the aortic diameter, and the COVID-19 was the leading factor.

The Evaluation of Cardiovascular Surgery-Associated Google Search Trends During COVID-19 Waves.

Objectives: The aim of the study was to clarify public interest about cardiovascular disease during the COVID-19 pandemic using Google Trends (GT). Methods: The study was performed between November 20 and December 1, 2021. A total of 21 keywords related to cardiovascular surgery were selected. Public attention to all selected keywords was analyzed by GT with using the filters "web search," "all categories," and "Turkey." In Turkey, three COVID-19 waves (between March 12, 2020, and May 8, 2020, November 24, 2020, and January 20, 2021, and March 20, 2021, and May 16, 2021) were experienced since the beginning of the pandemic. To analyze public attention to cardiovascular surgery during the COVID-19 waves, 8-week periods during the COVID-19 waves were compared with the same times in the past 4 years (2016-2019). Results: Comparisons of March 12-May 8 2020 and the same period between 2016 and 2019 showed that total public interest about cardiovascular surgery was significantly decreased (-28.7%, p=0.001). The comparison of the second COVID-19 wave (November 24, 2020-January 20, 2021 versus November 24-January 20, 2016-2019) revealed that public interest about cardiovascular surgery was significantly lower in the COVID-19 era (-22.2%, p=0.001). Comparison of the third COVID-19 wave and the same periods in the previous 4 years demonstrated that public interest about cardiovascular disease was significantly lower in the COVID-19 era (-8.5%, p=0.001). In contrast, the term coronary angiography was searched significantly more during the third wave of COVID-19 in comparison to the same periods between 2016 and 2019 (17.9%, p=0.015). Conclusion: Our study demonstrated that public interest in cardiovascular diseases was significantly decreased in all waves of the COVID-19 pandemic. However, interest in only the term coronary angiography was significantly increased in the third wave of pandemic.

Social insurance welfare codes and the spread of COVID-19

This paper explores disparities in the effect of pollution on confirmed cases of COVID-19 based on counties socioeconomic and demographic characteristics. Using data on all US counties on a daily basis over the year 2020 and applying a rich panel data fixed effect model we document that: 1) there are discernible social and demographic disparities in the spread of COVID-19. Blacks low educated and poorer people are at higher risks of being infected by the new disease. 2) The criteria pollutants including Ozone CO PM10 and PM2.5 have the potential to accelerate the outbreak of the novel Coronavirus. 3) The disadvantaged population is more vulnerable to the effects of pollution on the spread of Coronavirus. Specifically the effects of pollution on confirmed cases become larger for blacks low educated and counties with lower average wages in 2019.

Assessment of the Modified CHA2DS2VASc Risk Score in Predicting Mortality in Patients Hospitalized With COVID-19.

Since the modified CHA2DS2VASC (M-CHA2DS2VASc) risk score includes the prognostic risk factors for COVID-19; we assumed that it might predict in-hospital mortality and identify high-risk patients at an earlier stage compared with troponin increase and neutrophil-lymphocyte ratio (NLR). We aimed to investigate whether M-CHA2DS2VASC RS is an independent predictor of mortality in patients hospitalized with COVID-19 and to compare its discriminative ability with troponin increase and NLR in terms of predicting mortality. A total of 694 patients were retrospectively analyzed and divided into 3 groups according to M-CHA2DS2VASC RS which was simply created by changing gender criteria of the CHA2DS2VASC RS from female to male (Group 1, score 0-1 (n = 289); group 2, score 2-3 (n = 231) and group 3, score ≥4 (n = 174)). Adverse clinical events were defined as in-hospital mortality, admission to intensive care unit, need for high-flow oxygen and/or intubation. As the M-CHA2DS2VASC RS increased, adverse clinical outcomes were also significantly increased (Group 1, 3.8%; group 2, 12.6%; group 3, 20.8%; p <0.001 for in-hospital mortality). The multivariate logistic regression analysis showed that M-CHA2DS2VASC RS, troponin increase and neutrophil-lymphocyte ratio were independent predictors of in-hospital mortality (p = 0.005, odds ratio 1.29 per scale for M-CHA2DS2VASC RS). In receiver operating characteristic analysis, comparative discriminative ability of M-CHA2DS2VASC RS was superior to CHA2DS2VASC RS score. Area under the curve (AUC) values for in-hospital mortality was 0.70 and 0.64, respectively. (AUCM-CHA2DS2-VASc vs. AUCCHA2DS2-VASc z test = 3.56, p 0.0004) In conclusion, admission M-CHA2DS2VASc RS may be a useful tool to predict in-hospital mortality in patients with COVID-19.