Impact Analysis of Aspirin over the Cardiac Activity

Cardiovascular disease (CVD) is the leading cause of death in most developed countries, including the United States, with a significant economic impact. Lifestyle changes and the administration of antiplatelet medication, like aspirin, may significantly contribute to the secondary prevention of CVD in adults. For years, aspirin has been utilized for both secondary and primary cardiovascular disease prevention. Aspirin has been extensively used because of the belief that it may have a positive impact on primary prevention, despite the debate surrounding its usage. This study briefly examines usage patterns and discusses the potential variables and factors that can decrease the ability of aspirin to prevent cardiovascular disease. The present study also explore the key studies of aspirin use in the context of recent recommendations. The risk of bleeding has been observed to significantly rise, although large randomized clinical studies have demonstrated a reduction or absence of CVD events. Prevention strategies for cardiovascular disease with low-dose aspirin are no longer advised for persons at intermediate risk. To determine whether taking aspirin is worth the potential dangers, the benefits must be evaluated.Copyright © 2022 Novyi Russkii Universitet. All rights reserved.

De Ritis ratio and cardiovascular disease: evidence and underlying mechanisms

Aspartate aminotransferase (AST) to alanine aminotransferase (ALT) ratio (De Ritis ratio) has been used as a marker of alcohol-related liver disease, liver fibrosis and muscle disease. This article reviewed the literature on the association of De Ritis ratio with cardiovascular disease (CVD). Recent studies support an association between elevated De Ritis ratio and prognosis of patients with diabetes mellitus, cancers, diseases characterized by multiorgan failure, CVD, stroke and corona virus disease (COVID)-19. Elevated De Ritis ratio may indicate increased cardiometabolic risk associated with overt or occult hepatic and extrahepatic diseases and may be a metabolic trait indicating abnormalities at the level of basic metabolism that foresees the development of future metabolic diseases. De Ritis ratio correlates positively with age, female sex, C-reactive protein and impaired renal function and inversely with diabetes mellitus, obesity and metabolic syndrome. Epidemiological studies suggest an association of elevated De Ritis ratio with CVD and strongly support an association between elevated De Ritis ratio and increased risk for all-cause and CVD-related mortality. The strength and direction of the association between De Ritis ratio and cardiovascular risk factors cannot explain the association between De Ritis ratio and CVD or CVD mortality. Elevated De Ritis ratio may represent cardiometabolic risk that is not mediated (or poorly mediated) by traditional risk factors and may be seen as an emerging nonstandard marker of cardiometabolic risk. De Ritis ratio requires standardization in terms of reference range and interpretation. Future epidemiological, clinical and laboratory (biochemical) studies are required to further investigate De Ritis ratio as a marker of cardiometabolic risk and CVD. © Journal of Laboratory and Precision Medicine. All rights reserved.

Geographical and Temporal Analysis of Tweets Related to COVID-19 and Cardiovascular Disease in the US.

The COVID-19 pandemic has resulted in more than 600 million confirmed cases worldwide since December 2021. Cardiovascular disease (CVD) is both a risk factor for COVID-19 mortality and a complication that many COVID-19 patients develop. This study uses Twitter data to identify the spatiotemporal patterns and correlation of related tweets with daily COVID-19 cases and deaths at the national, regional, and state levels. We collected tweets mentioning both COVID-19 and CVD-related words from February to July 2020 (Eastern Time) and geocoded the tweets to the state level using GIScience techniques. We further proposed and validated that the Twitter user registration state can be a feasible proxy of geotags. We applied geographical and temporal analysis to investigate where and when people talked about COVID-19 and CVD. Our results indicated that the trend of COVID-19 and CVD-related tweets is correlated to the trend of COVID-19, especially the daily deaths. These social media messages revealed widespread recognition of CVD's important role in the COVID-19 pandemic, even before the medical community started to develop consensus and theory supports about CVD aspects of COVID-19. The second wave of the pandemic caused another rise in the related tweets but not as much as the first one, as tweet frequency increased from February to April, decreased till June, and bounced back in July. At the regional level, four regions (Northeast, Midwest, North, and West) had the same trend of related tweets compared to the country as a whole. However, only the Northeast region had a high correlation (0.8-0.9) between the tweet count, new cases, and new deaths. For the second wave of confirmed new cases, the major contributing regions, South and West, did not ripple as many related tweets as the first wave. Our understanding is that the early news attracted more attention and discussion all over the U.S. in the first wave, even though some regions were not impacted as much as the Northeast at that time. The study can be expanded to more geographic and temporal scales, and with more physical and socioeconomic variables, with better data acquisition in the future.

Analysis of cardiovascular disease factors on SARS-CoV-2 infection severity.

Background: At present, COVID-19 is a global pandemic and is seriously harmful to humans. In this retrospective study, the aim was to investigate the interaction between CVD and COVID-19. Methods: A total of 180 patients diagnosed with COVID-19 in Yichang Central People's Hospital from 29 January to 17 March 2020 were initially included. The medical history, clinical manifestations at the time of admission, laboratory test results, hospitalization time and complications were recorded. According to the medical history, the patients were assigned to the nonsevere group with non-CVD (n = 90), the nonsevere group with CVD (n = 22), the severe group with non-CVD (n = 40) and the severe group with CVD (n = 28). Results: In the severe group, compared with non-CVD patients, CVD patients had a significantly higher incidence of fever (P < 0.05). However, compared with the nonsevere group, the severe group had significantly higher proportions of patients with hypertension, type 2 diabetes mellitus, CHD and HF (all P < 0.05). Among the patients with nonsevere COVID-19, the WBC count and the levels of IL-6, CRP, D-dimer, NT-proBNP, and FBG were significantly higher and the Hb level was significantly lower in the CVD patients than in the non-CVD patients (all P < 0.05). However, among the patients with severe COVID-19, only the level of NT-proBNP was significantly higher in CVD patients than in non-CVD patients (P < 0.05). In addition, the WBC count and the levels of IL-6, CRP, D-dimer, CKMB, ALT, AST, SCR, NT-proBNP, and FBG were significantly higher and the Hb level was significantly lower in the severe group than in the nonsevere group (all P < 0.05). However, among the patients with severe COVID-19, the incidences of acute myocardial injury, acute kidney injury, arrhythmia, and sudden death were significantly higher in the CVD group than in the non-CVD group (all P < 0.05). The same results were found in the comparison of the nonsevere group with the severe group. Among the patients with nonsevere COVID-19, those without CVD had a mean hospitalization duration of 25.25 (SD 7.61) days, while those with CVD had a mean hospitalization duration of 28.77 (SD 6.11) days; the difference was significant (P < 0.05). The same results were found in the comparison of the severe group. Conclusions: CVD affects the severity of COVID-19. COVID-19 also increases the risk of severe CVD.

Antecedentes: La infección por SARS-CoV-2 está provocando graves consecuencias en la humanidad. El objetivo de este estudio retrospectivo fue investigar el impacto de las enfermedades cardiovasculares (ECV) en la gravedad de dicha infección. Métodos: Entre el 29 de enero y el 17 de marzo de 2020, se diagnosticaron 180 pacientes con neumonía por SARS-CoV-2 en el Hospital Popular Central de Yichang. Se registraron los antecedentes, manifestaciones clínicas, resultados de laboratorio, tiempo de hospitalización y complicaciones. Los pacientes se dividieron en cuatro grupos: 1) infección no grave sin ECV (n = 90), 2) infección no grave con ECV (n = 22), 3) infección grave sin ECV (n = 40) y 4) infección grave con ECV (n = 28). Resultados: La prevalencia de fiebre en los pacientes con ECV fue significativamente mayor que en aquellos sin ECV (P < 0,05). Sin embargo, en comparación con los pacientes no graves, la proporción de pacientes con hipertensión, diabetes mellitus tipo 2, cardiopatía coronaria e insuficiencia cardíaca en los pacientes graves fue significativamente mayor (p< 0,05). Los niveles de recuento de leucocitos, IL-6, PCR, dímero D, NT-proBNP y glucemia en ayunas (GA) en pacientes con ECV fueron significativamente mayores que en los de pacientes sin ECV, aunque los niveles de Hb fueron significativamente menores que los de los pacientes sin ECV (p< 0,05). Sin embargo, los valores de NT-proBNP en pacientes con ECV fueron significativamente mayores que en los pacientes sin ECV (P< 0,05). Además, el recuento de leucocitos y los niveles de IL-6, PCR, dímero D, CK-MB, ALT, AST, creatinina, NT-proBNPy GA en el grupo de pacientes graves fueron significativamente mayores que en el grupo no grave, mientras que los valores de Hb fueron significativamente menores que en el grupo no grave (p< 0,05). La prevalencia de lesión miocárdica aguda, lesión renal aguda, arritmia y muerte súbita en el grupo con ECV fue significativamente mayor que en el grupo sin ECV (p< 0,05). Los mismos resultados se encontraron al comparar los pacientes no graves con aquellos con infección grave. Entre los pacientes no graves, la duración media de la estancia hospitalaria fue de 25,25 (DE: 7,61) días en los pacientes sin ECV, mientras que la duración media de la estancia hospitalaria fue de 28,77 (DE: 6,11) días en los pacientes con ECV (p< 0,05). Los mismos resultados se observaron al comparar los dos grupos con infección grave. Conclusiones: La infección por SARS-CoV-2 es de evolución más grave en los pacientes con ECV.

12-Lead ECG Platform for Real-time Monitoring and Early Anomaly Detection

In response to the rapid digital revolution and the COVID-19 pandemic, the healthcare landscape has significantly shifted from physical to virtual care and telemedicine. As a result, healthcare providers and patients have shown increased interest and adoption for up-to-date technologies to monitor ongoing health conditions, including cardiovascular diseases. Driven by the importance of an efficient remote cardiovascular monitor for virtual care, we present a platform that enables remote ECG testing and provides ubiquitous data access to patients and their healthcare providers. A patent-pending 12-lead data acquisition ECG patch is attached to the patient's body to simultaneously collect heart signals, perform binary classification, and transmit the data to healthcare providers for further analysis at a high rate of up to 480 samples per second. As a preliminary classification phase, the presented platform introduces a machine learning technique to classify ECG signals near the ECG patch. The classification function is optimized for power-constrained devices using machine learning techniques. Moreover, the preliminary results of the energy consumption profile show that the ECG patch provides up to 37 hours of continuous 12-lead ECG streaming. © 2022 IEEE.

Ultrasound in COVID-19: only lung?

Although SARS-CoV-2 primarily infects the respiratory system, other clinical manifestations of COVID-19 are possible, including renal, gastrointestinal, liver, neurological, and hematological alterations. As a consequence, COVID-19 must be considered a systemic disease of which still much should be studied and analyzed because of its considerable clinical variability. Cardiac involvement has also been demonstrated, and the risk of ventilator-induced diaphragm dysfunction has become relevant due to the possibility of prolonged mechanical ventilation, as reported for similar syndromes. For these reasons, cardiac and diaphragm ultrasound evaluation are highly important in the treatment of COVID-19. Moreover, due to the thrombotic tendency of COVID-19 patients, particular attention should also be paid to vascular ultrasound. To refine the diagnostic and therapeutic process, it is necessary for specialists all over the world to constantly search for methods and machines that can be efficient and easy to use. In recent years ultrasound machines have greatly expanded their possibilities of investigation, due to improved capacity of information and signal processing systems. At the same time the specialists of the subject have implemented their knowledge on the recognition of ultrasonographic signs. This review addresses with the extrapulmonary organs that can be explored using ultrasonography, and underlines the importance of its application in critically ill patients. © 2022 Journal of Innovation Management. All rights reserved.

A systematic Analysis: Molecular Information in viral Disease using Deep Learning Auto Encoder

Hundreds of millions of people around the world suffer from viral infections every year. However, some of them have neither vaccine nor effective treatment during and after viral infection. Such as pneumonia, severe acute respiratory syndrome type 2 (SARS -2), HIV infection and Hepatitis-C virus. These viral diseases also directly and indirectly cause cardiovascular disease (CVD). Recently, the Deep Neural Network (DNN)-assisted molecular interaction (information) (MI) transceiver (transmitter Tx, and receiver Rx) design was brought to the fore to break the issues of traditional molecular information (MI) inside and outside human body. In this paper, we use DNN based approach to design and implement a new transceiver (Tx/Rx). We investigate DNN-assisted MI- Tx/Rx, multilayer perception DNN auto-encoder (MLP-AE), and convolutional neural network auto-encoder (CNN-AE), respectively. We apply an MLP-AE and CNN-AE to simultaneously accomplish the task of modulation, demodulation, and equalization as a point-to-point scheme. © 2021 IEEE.

Analysis of cardiovascular disease factors on SARS-CoV-2 infection severity.

BACKGROUND: At present, COVID-19 is a global pandemic and is seriously harmful to humans. In this retrospective study, the aim was to investigate the interaction between CVD and COVID-19. METHODS: A total of 180 patients diagnosed with COVID-19 in Yichang Central People's Hospital from 29 January to 17 March 2020 were initially included. The medical history, clinical manifestations at the time of admission, laboratory test results, hospitalization time and complications were recorded. According to the medical history, the patients were assigned to the nonsevere group with non-CVD (n=90), the nonsevere group with CVD (n=22), the severe group with non-CVD (n=40) and the severe group with CVD (n=28). RESULTS: In the severe group, compared with non-CVD patients, CVD patients had a significantly higher incidence of fever (P<0.05). However, compared with the nonsevere group, the severe group had significantly higher proportions of patients with hypertension, type 2 diabetes mellitus, CHD and HF (all P<0.05). Among the patients with nonsevere COVID-19, the WBC count and the levels of IL-6, CRP, D-dimer, NT-proBNP, and FBG were significantly higher and the Hb level was significantly lower in the CVD patients than in the non-CVD patients (all P<0.05). However, among the patients with severe COVID-19, only the level of NT-proBNP was significantly higher in CVD patients than in non-CVD patients (P<0.05). In addition, the WBC count and the levels of IL-6, CRP, D-dimer, CKMB, ALT, AST, SCR, NT-proBNP, and FBG were significantly higher and the Hb level was significantly lower in the severe group than in the nonsevere group (all P<0.05). However, among the patients with severe COVID-19, the incidences of acute myocardial injury, acute kidney injury, arrhythmia, and sudden death were significantly higher in the CVD group than in the non-CVD group (all P<0.05). The same results were found in the comparison of the nonsevere group with the severe group. Among the patients with nonsevere COVID-19, those without CVD had a mean hospitalization duration of 25.25 (SD 7.61) days, while those with CVD had a mean hospitalization duration of 28.77 (SD 6.11) days; the difference was significant (P<0.05). The same results were found in the comparison of the severe group. CONCLUSIONS: CVD affects the severity of COVID-19. COVID-19 also increases the risk of severe CVD.

Coronavirus disease and the cardiovascular system: a narrative review of the mechanisms of injury and management implications.

Coronavirus disease (COVID-19), first identified in Wuhan, China, in December 2019, is now a pandemic, having already spread to 188 countries, with more than 28,280,000 infections worldwide. Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is the responsible infectious agent, and similar to other human coronaviruses, uses membrane-bound angiotensin-converting enzyme 2 (membrane-bound ACE2) for entry into the host cells. COVID-19 has important cardiovascular implications, especially for patients with pre-existing cardiovascular co-morbidities, potentially mediated through several mechanisms, including direct myocardial injury, worsening of those pre-existing cardiovascular co-morbidities, and adverse cardiovascular effects of potential therapies for COVID-19. The disease is causing a significant burden on health systems worldwide. Elective surgeries and procedures were postponed for a considerable period of time, and many patients with known cardiovascular disease (CVD) risk factors presented late to hospitals, for fear of contracting COVID-19, with serious adverse consequences. Significant negative impact on a population level is highlighted by prolonged isolation, decreased exercise and physical activity, and higher levels of depression and anxiety, all predisposing to elevated cardiovascular risk. This article provides a timely overview of COVID-19 and its impact on the cardiovascular system, focusing on the pathogenesis, potential adverse cardiovascular events, the potential treatment options, protection for health care providers and patients, and what the cardiovascular community could do to mitigate the impact of COVID-19.

SARS-CoV-2, ACE2, and Hydroxychloroquine: Cardiovascular Complications, Therapeutics, and Clinical Readouts in the Current Settings.

The rapidly evolving coronavirus disease 2019 (COVID-19, caused by severe acute respiratory syndrome coronavirus 2- SARS-CoV-2), has greatly burdened the global healthcare system and led it into crisis in several countries. Lack of targeted therapeutics led to the idea of repurposing broad-spectrum drugs for viral intervention. In vitro analyses of hydroxychloroquine (HCQ)'s anecdotal benefits prompted its widespread clinical repurposing globally. Reports of emerging cardiovascular complications due to its clinical prescription are revealing the crucial role of angiotensin-converting enzyme 2 (ACE2), which serves as a target receptor for SARS-CoV-2. In the present settings, a clear understanding of these targets, their functional aspects and physiological impact on cardiovascular function are critical. In an up-to-date format, we shed light on HCQ's anecdotal function in stalling SARS-CoV-2 replication and immunomodulatory activities. While starting with the crucial role of ACE2, we here discuss the impact of HCQ on systemic cardiovascular function, its associated risks, and the scope of HCQ-based regimes in current clinical settings. Citing the extent of HCQ efficacy, the key considerations and recommendations for the use of HCQ in clinics are further discussed. Taken together, this review provides crucial insights into the role of ACE2 in SARS-CoV-2-led cardiovascular activity, and concurrently assesses the efficacy of HCQ in contemporary clinical settings.