COVID-19 and cardiovascular disease: from basic mechanisms to clinical perspectives

2D-Bio-FETs for sensitive detection of cardiovascular diseases

The biosensing industry has seen exponential growth in the past decade. Impact of biosensors in the current scenario cannot be overlooked. Cardiovascular diseases (CvDs) have been recognized as one of the major causes for millions of deaths globally. This mortality can be minimized by early and accurate detection/diagnosis of CvDs with the help of biosensing devices. This also presents a global market opportunity for the development of biosensors for CvDs. A vast variety of biosensing methods and devices have been developed for this problem. Most of commercially available platforms for CvD detection rely on optical (fluorometric and colorimetric analysis) techniques using serum biomarkers since optical testing is the gold standard in medical diagnosis. Field effect transistors-based biosensors, termed as Bio-FETs, are the upcoming devices for blood or serum analyte detection due to excellent sensitivity, low operational voltage, handheld device structure and simple chip-based operation. Further, the discovery of two dimensional (2D) materials and their integration with conventional FETs has improved the overvoltage problem, sensitivity and strict operating conditions as compared to conventional FETs. Graphene-FETs based biosensing devices have been proven as promising candidates due to their attractive properties. Despite the severe threat of CvDs which has further increased in post-covid era, the Bio-FET sensor studies in literature are still rare. In this review, we aim to provide a comprehensive view of all the multidisciplinary concepts related to 2D-BioFETs for CvDs. A critical review of the different platforms has been covered with detailed discussions of related studies to provide a clear concept and present status of 2D-BioFETs based CvD biosensors.

Pediatric endocarditis - a stone left after the pandemic cascade

Infective endocarditis is a rare disease in children. The etiology is mainly bacterial. However, viral infective endocarditis, possibly related to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has also been reported. The pathophysiological principle of the connection between the two entities seems to be attributed to the transient immune deficiency of the body during the infection. Additionally, SARS-CoV-2 is reported in the literature as a direct cardiopathic virus. Therefore, the new coronavirus seems to have the ability to affect both the intact cardiac tissue and the previously damaged one both during the acute episode and at a distance from it. Consequently, we propose to review the main pathophysiological aspects of pediatric cardiac damage caused by SARS-CoV-2. The ultimate goal is to deepen existing knowledge, broaden the horizon of understanding and analysis regarding the systemic damage induced by viral infections, and strengthen an information base from which to start a meta-analysis. Next, we performed a non-systematized screening of the specialized literature with reference to cases of endocarditis in the pediatric population, reported in the period 2020-2023. From the total of articles found, we chose to include in the review a number of 6 case reports, including a number of 7 patients (5 children and 2 adolescents). Analysis of reports suggests that SARS-CoV-2 infection could play a role in the development of endocarditis, either directly through active infection or indirectly through a post-infectious immune response. Also, pre-existing conditions and complex medical history predispose to an increased risk of developing a severe, complicated form of endocarditis. Also, the lack of data on the vaccination history and the failure to categorize the infection depending on the type of antibodies (IgM or IgG) in some studies represent a major bias in the reports. The latter make it difficult to evaluate the influence of vaccination and the impact of acute versus chronic infection on the course of cases.

Incidence Rate of Cardiovascular Events in Rheumatoid Arthritis: An Observational Cohort Study in Saudi Arabia

Purpose

Rheumatoid arthritis (RA) doubles the morbidity of cardiovascular disease (CVD) and leads to a 50% increase in mortality compared to the general population. This study aims to estimate the CVD incidence among RA patients in Saudi Arabia (SA), vital for assessing CVD burdens within this group.

Patients and Methods

This retrospective study took place at two centers in the Eastern Province of SA, including all adult RA patients who visited the rheumatology clinic from 2016 to 2021 and were prescribed disease-modifying antirheumatic drugs (DMARDs). CVD incidence was determined by the diagnosis of ischemic heart disease (IHD), stroke/transient ischemic attack (TIA), venous thromboembolism (VTE), heart failure (HF), and arrhythmia post-RA diagnosis. Additional data collected included demographics, CVD risk factors, comorbidities, RA-related factors, and medication usage.

Results

The study comprised 651 patients, 80.5% of whom were females with an average age of 51. The overall CVD incidence was 11.2 per 1000 person-years, with males experiencing five times more incidents than females. The prevalence of CVD risk factors included 18.7% with hypertension, 7.8% with hyperlipidemia, 18.9% with diabetes, and 42.9% with obesity. Significant predictors of CVD were male gender and RA duration, with adjusted odds ratios (aOR) of 3.17 (95% CI 1.10 to 9.14, P=0.033) and 64.81 (95% CI 3.68 to 1140.6, P=0.004), respectively.

Conclusion

This unique study from SA examined the CVD incidence in RA patients, identifying long disease duration and male gender as significant predictors. Effective reduction of CVD risk in RA patients requires aggressive management of modifiable risk factors and regular risk assessments.

Shared genetics and causal association between plasma levels of SARS-CoV-2 entry receptor ACE2 and Alzheimer's disease

BACKGROUND

Alzheimer's disease (AD) is the highest risk of COVID-19 infection, hospitalization, and mortality. However, it remains largely unclear about the link between AD and COVID-19 outcomes. ACE2 is an entry receptor for SARS-CoV-2. Circulating ACE2 is a novel biomarker of death and associated with COVID-19 outcomes.

METHODS

Here, we explored the shared genetics and causal association between AD and plasma ACE2 levels using large-scale genome-wide association study, gene expression, expression quantitative trait loci, and high-throughput plasma proteomic profiling datasets.

RESULTS

We found a significant causal effect of genetically increased circulating ACE2 on increased risk of AD. Cross-trait association analysis identified 19 shared genetic variants, and three variants rs3104412, rs2395166, and rs3135344 at chromosome 6p21.32 were associated with COVID-19 infection, hospitalization, and severity. We mapped 19 variants to 117 genes, which were significantly upregulated in lung, spleen, and small intestine, downregulated in brain tissues, and involved in immune system, immune disease, and infectious disease pathways. The plasma proteins corresponding to LST1, AGER, TNXB, and APOC1 were predominantly associated with COVID-19 infection, ventilation, and death.

CONCLUSION

Together, our findings suggest the shared genetics and causal association between AD and plasma ACE2 levels, which may partially explain the link between AD and COVID-19.

Persistent Vascular Complications in Long COVID: The Role of ACE2 Deactivation, Microclots, and Uniform Fibrosis

Angiotensin-converting enzyme 2 (ACE2), a key regulator in vasoregulation and the renin-angiotensin system, is hypothesized to be downregulated in patients with COVID-19, leading to a cascade of cardiovascular complications. This deactivation potentially results in increased blood pressure and vessel injury, contributing to the formation and persistence of microclots in the circulation. Herein, we propose a hypothesis regarding the prolonged vascular complications observed in long COVID, focusing on the role of ACE2 deactivation and/or shedding, the persistence of microclots, and the unique pattern of fibrosis induced by severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2). Furthermore, we propose that the distinctive, uniform fibrosis associated with COVID-19, which is challenging to detect through conventional X-ray imaging, exacerbates vascular injury and impairs oxygenation. The persistence of these microclots and the unique fibrosis pattern are suggested as key factors in the extended duration of vascular complications post-COVID-19 infection, regardless of the initial disease severity. Moreover, plasma ACE2 activity has the potential to serve as prognostic or diagnostic biomarkers for monitoring disease severity and managing long COVID symptoms. Elucidating the role of ACE2 deactivation and the consequent events is vital for understanding the long-term effects of COVID-19. The experimental verification of this hypothesis through in vitro studies, clinical longitudinal studies, and advanced imaging techniques could yield significant insights into the pathophysiological mechanisms underlying long COVID, thereby improving the management of patients, particularly those with cardiovascular complications.

Inflammaging, immunosenescence, and cardiovascular aging: insights into long COVID implications

Aging leads to physiological changes, including inflammaging-a chronic low-grade inflammatory state with significant implications for various physiological systems, particularly for cardiovascular health. Concurrently, immunosenescence-the age-related decline in immune function, exacerbates vulnerabilities to cardiovascular pathologies in older individuals. Examining the dynamic connections between immunosenescence, inflammation, and cardiovascular aging, this mini-review aims to disentangle some of these interactions for a better understanding of their complex interplay. In the context of cardiovascular aging, the chronic inflammatory state associated with inflammaging compromises vascular integrity and function, contributing to atherosclerosis, endothelial dysfunction, arterial stiffening, and hypertension. The aging immune system's decline amplifies oxidative stress, fostering an environment conducive to atherosclerotic plaque formation. Noteworthy inflammatory markers, such as the high-sensitivity C-reactive protein, interleukin-6, interleukin-1β, interleukin-18, and tumor necrosis factor-alpha emerge as key players in cardiovascular aging, triggering inflammatory signaling pathways and intensifying inflammaging and immunosenescence. In this review we aim to explore the molecular and cellular mechanisms underlying inflammaging and immunosenescence, shedding light on their nuanced contributions to cardiovascular diseases. Furthermore, we explore the reciprocal relationship between immunosenescence and inflammaging, revealing a self-reinforcing cycle that intensifies cardiovascular risks. This understanding opens avenues for potential therapeutic targets to break this cycle and mitigate cardiovascular dysfunction in aging individuals. Furthermore, we address the implications of Long COVID, introducing an additional layer of complexity to the relationship between aging, immunosenescence, inflammaging, and cardiovascular health. Our review aims to stimulate continued exploration and advance our understanding within the realm of aging and cardiovascular health.

Syndecan-1 as a prognostic biomarker in COVID-19 patients: a retrospective study of a Japanese cohort

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has had a profound global impact, with millions of confirmed cases and deaths worldwide. While most cases are mild, a subset progresses to severe respiratory complications and death, with factors such as thromboembolism, age, and underlying health conditions increasing the risk. Vascular endothelial damage has been implicated in severe outcomes, but specific biomarkers remain elusive. This study investigated syndecan-1 (SDC-1), a marker of endothelial damage, as a potential prognostic factor for COVID-19, focusing on the Japanese population, which is known for its aging demographics and high prevalence of comorbidities.

METHODS

A multicenter retrospective study of COVID-19 patients in Fukushima Prefecture in Japan who were admitted between February 2020 and August 2021 was conducted. SDC-1 levels were measured along with other clinical and laboratory parameters. Outcomes including thrombosis, 28-day survival, and disease severity were assessed, and disease severity was categorized according to established guidelines.

RESULTS

SDC-1 levels were correlated with disease severity. Patients who died from COVID-19 had greater SDC-1 levels than survivors, and the area under the receiver operating characteristic curve (AUC) analysis suggested the potential of the SDC-1 level as a predictor of mortality (AUC 0.714). K‒M analysis also revealed a significant difference in survival based on an SDC-1 cutoff of 10.65 ng/mL.

DISCUSSION

This study suggested that SDC-1 may serve as a valuable biomarker for assessing COVID-19 severity and predicting mortality within 28 days of hospitalization, particularly in the Japanese population. However, further investigations are required to assess longitudinal changes in SDC-1 levels, validate its predictive value for long-term survival, and consider its applicability to new viral variants.

CONCLUSIONS

SDC-1 is emerging as a potential biomarker for assessing the severity and life expectancy of COVID-19 in the Japanese population, offering promise for improved risk stratification and patient management in the ongoing fight against the virus.

New insights into the pathogenesis of SARS-CoV-2 during and after the COVID-19 pandemic

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the respiratory distress condition known as COVID-19. This disease broadly affects several physiological systems, including the gastrointestinal, renal, and central nervous (CNS) systems, significantly influencing the patient's overall quality of life. Additionally, numerous risk factors have been suggested, including gender, body weight, age, metabolic status, renal health, preexisting cardiomyopathies, and inflammatory conditions. Despite advances in understanding the genome and pathophysiological ramifications of COVID-19, its precise origins remain elusive. SARS-CoV-2 interacts with a receptor-binding domain within angiotensin-converting enzyme 2 (ACE2). This receptor is expressed in various organs of different species, including humans, with different abundance. Although COVID-19 has multiorgan manifestations, the main pathologies occur in the lung, including pulmonary fibrosis, respiratory failure, pulmonary embolism, and secondary bacterial pneumonia. In the post-COVID-19 period, different sequelae may occur, which may have various causes, including the direct action of the virus, alteration of the immune response, and metabolic alterations during infection, among others. Recognizing the serious adverse health effects associated with COVID-19, it becomes imperative to comprehensively elucidate and discuss the existing evidence surrounding this viral infection, including those related to the pathophysiological effects of the disease and the subsequent consequences. This review aims to contribute to a comprehensive understanding of the impact of COVID-19 and its long-term effects on human health.

Geospatial analysis of cardiovascular mortality before and during the COVID-19 pandemic in Peru: analysis of the national death registry to support emergency management in Peru

Background

COVID-19 has led to significant global mortality, with Peru being among the countries most affected. While pre-existing comorbidities have been linked to most cases, the exact distribution of fatalities within the country remains unclear. We aimed to assess deaths attributed to cardiovascular diseases (CVD) before and during the COVID-19 pandemic across various regions and provinces in Peru.

Methods

An observational georeferencing study was designed. Peru faced four waves of COVID-19 over three years, with variable impacts across its three regions (Coast, Highlands, and Jungle). Deaths related to cardiovascular diseases, such as heart failure (HF), arrhythmia, acute myocardial infarction (AMI), strokes, and acute coronary syndrome, were examined as primary variables. The study period spanned pre-pandemic years (2017-2019) and pandemic years (2020-2021), utilizing death data from the National Death Information System (SINADEF). The georeferencing analysis was conducted using ArcGIS v10.3.

Results

A total of 28,197 deaths were recorded during the study period, with significant increases during the pandemic (2020-2021). Cardiovascular deaths were disproportionately higher during the pandemic, totaling 19,376 compared to 8,821 in the pre-pandemic period (p < 0.001). AMI and HF were the leading causes of mortality, showing significant increases from the pre-pandemic (5,573 and 2,584 deaths) to the pandemic period (12,579 and 5,628 deaths), respectively. Deaths due to CVD predominantly affected individuals aged over 60, with significant increases between the two study periods (7,245 vs. 16,497 deaths, p = 0.002). Geospatial analysis revealed regional disparities in CVD mortality, highlighting provinces like Lima and Callao as COVID-19 critical areas. The substantial increase in cardiovascular deaths during the COVID-19 pandemic in Peru showed distinctive patterns across regions and provinces.

Conclusions

Geospatial analysis identified higher-risk areas and can guide specific interventions to mitigate the impact of future health crises. Understanding the dynamic relationship between pandemics and cardiovascular health is crucial for effective public health strategies.

The involvement of circulating miR-146a and miR-27a in patients with atherosclerotic cardiovascular disease after SARS-CoV-2 infection

BACKGROUND

Atherosclerotic cardiovascular disease (ASCVD) is a group of clinical diseases based on pathology of atherosclerosis that is the leading cause of mortality worldwide. There is a bidirectional interaction between ASCVD and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Alterations in circulating miRNAs levels are involved in the development of ASCVD in patients infected with SARS-CoV-2, however, the correlation between ASCVD co-infection with SARS-CoV-2 and alterations of cardiac-specific miRNAs is not well understood.

HYPOTHESIS

The circulating miR-146a and miR-27a are involved in bidirectional interactions between ASCVD and SARS-CoV-2 infections.

METHODS

Circulating miR-146a and miR-27a levels were measured in serum and PBMCs deriving from ASCVD patients and controls after SARS-CoV-2 infection by qRT-PCR analysis. The levels of neutralizing antibodies-resistant SARS-CoV-2 in human serum was determined by competitive magnetic particle chemiluminescence method. Interleukin (IL)-6 levels were detected by automatic biochemical analyzer using electrochemiluminescence.

RESULTS

Significant downregulation of circulating miR-146a and upregulation of miR-27a in ASCVD patients after infection with SARS-CoV-2 compared with controls were observed, among which the alterations were more evident in ASCVD patients comorbid with hyperlipidemia and diabetes mellitus. Consistently, correlation analysis revealed that serum miR-146a and miR-27a levels were associated with the levels of lipids and glucose, inflammatory response, and immune function in ASCVD patients. Remarkably, SARS-CoV-2 S protein RBD stimulation of PBMCs derived from both ASCVD and controls significantly downregulated miR-146a, upregulated miR-27a expression levels, and promoted IL-6 release in vitro.

CONCLUSIONS

The circulating miR-146a and miR-27a are involved in metabolism, inflammation, and immune levels in patients with ASCVD after SARS-CoV-2 infection, laying the foundation for the development of strategies to prevent the risk of SARS-CoV-2 infection in ASCVD patients.

The impact of the COVID-19 pandemic on non-COVID-associated mortality: A descriptive longitudinal study of UK data

Background

It has been previously reported in the literature that the COVID-19 pandemic resulted in overall excess deaths and an increase in non-COVID deaths during the pandemic period.Specifically, our research elucidates the impact of the COVID-19 pandemic on non-COVID associated mortality.

Study aim

To compare mortality rates in non-COVID conditions before and after the onset of the COVID-19 pandemic in England and Wales.

Study design

Annual mortality data for the years 2011-2019 (pre-pandemic) and 2020 (pandemic) in England and Wales were retrieved from the Office for National Statistics (ONS). These data were filtered by ICD-10 codes for nine conditions with high associated mortality. We calculated mortality numbers - overall and age stratified (20-64 and 65+ years) and rates per 100 000, using annual mid-year population estimates.

Methods

Interrupted time series analyses were conducted using segmented quasi-Poisson regression to identify whether there was a statistically significant change (p < 0.05) in condition-specific death rates following the pandemic onset.

Results

Eight of the nine conditions investigated in this study had significant changes in mortality rate during the pandemic period (2020). All-age mortality rate was significantly increased in: 'Symptoms Signs and Ill-defined conditions', 'Cirrhosis and Other Diseases of the Liver', and 'Malignant Neoplasm of the Breast', whereas 'Chronic Lower Respiratory Disorders' saw a significant decrease. Age-stratified analyses also revealed significant increases in the 20-64 age-group in: 'Cerebrovascular Disorders', 'Dementia and Alzheimer's Disease', and 'Ischaemic Heart Diseases'.

Conclusion

Trends in non-COVID condition-specific mortality rates from 2011 to 2020 revealed that some non-COVID conditions were disproportionately affected during the pandemic. This may be due to the direct impact COVID-19 had on these conditions or the effect the public health response had on non-COVID risk factor development and condition-related management. Further work is required to understand the reasons behind these disproportionate changes.

The Potential Mechanisms of Arrhythmia in Coronavirus disease-2019

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) leads to coronavirus disease-2019 (COVID-19) which can cause severe cardiovascular complications including myocardial injury, arrhythmias, acute coronary syndrome and others. Among these complications, arrhythmias are considered serious and life-threatening. Although arrhythmias have been associated with factors such as direct virus invasion leading to myocardial injury, myocarditis, immune response disorder, cytokine storms, myocardial ischemia/hypoxia, electrolyte abnormalities, intravascular volume imbalances, drug interactions, side effects of COVID-19 vaccines and autonomic nervous system dysfunction, the exact mechanisms of arrhythmic complications in patients with COVID-19 are complex and not well understood. In the present review, the literature was extensively searched to investigate the potential mechanisms of arrhythmias in patients with COVID-19. The aim of the current review is to provide clinicians with a comprehensive foundation for the prevention and treatment of arrhythmias associated with long COVID-19.

Incidence and Impact of Takotsubo Syndrome in Hospitalized Patients With COVID-19

BACKGROUND

Takotsubo syndrome has been reported in patients with COVID-19, although minimal data are available. This investigation assessed the incidence and impact of takotsubo syndrome on patients hospitalized with COVID-19.

METHODS

A retrospective cohort study was conducted using International Statistical Classification of Diseases, Tenth Revision, codes to identify patients with a primary diagnosis of COVID-19 with or without takotsubo syndrome in the National Inpatient Sample 2020 database. Outcomes between groups were compared after propensity score matching for patient and hospital demographics and comorbidities.

RESULTS

A total of 211,448 patients with a primary diagnosis of COVID-19 were identified. Of these, 171 (0.08%) had a secondary diagnosis of takotsubo syndrome. Before matching, patients with COVID-19 and takotsubo syndrome, compared with patients without takotsubo syndrome, were older (68.95 vs 64.26 years; P < .001); more likely to be female (64.3% vs 47.2%; P < .001); and more likely to have anxiety (24.6% vs 12.8%; P < .001), depression (17.5% vs 11.4%; P = .02), and chronic obstructive pulmonary disease (24.6% vs 14.7%; P < .001). The takotsubo syndrome group had worse outcomes than the non-takotsubo syndrome group for death (30.4% vs 11.1%), cardiac arrest (7.6% vs 2.1%), cardiogenic shock (12.9% vs 0.4%), length of hospital stay (10.7 vs 7.5 days), and total charges ($152,685 vs $78,468) (all P < .001). After matching and compared with the non-takotsubo syndrome group (n = 508), the takotsubo syndrome group (n = 170) had a higher incidence of inpatient mortality (30% vs 14%; P < .001), cardiac arrest (7.6% vs 2.8%; P = .009), and cardiogenic shock (12.4% vs 0.4%; P < .001); a longer hospital stay (10.7 vs 7.6 days; P < .001); and higher total charges ($152,943 vs $79,523; P < .001).

CONCLUSION

Takotsubo syndrome is a rare but severe in-hospital complication in patients with COVID-19.

Fatal Arrhythmic Complications of Multisystemic Inflammatory Syndrome (MIS-C) in a Pediatric Patient

In 2019, the emergence of the coronavirus disease 2019 (COVID-19) virus triggered a global pandemic, reminiscent of the magnitude witnessed during the flu pandemic of 1918. Initially, children often presented with either asymptomatic or mild upper respiratory tract infection symptoms. However, in the post-acute phase, a distinct syndrome affecting multiple organ systems emerged, sharing similarities with Kawasaki's disease. This syndrome was later classified as multisystem inflammatory syndrome in children (MIS-C) by the Pediatric Intensive Care Society in April 2020. Notably, cardiac manifestations and complications associated with COVID-19 constitute a significant source of morbidity and mortality, characterized by left ventricular dysfunction, cardiac conduction abnormalities, and arrhythmias. Although cases of arrhythmias with MIS-C are rare in the literature, we present a unique case involving a 14-year-old without known cardiac risk factors who presented with conduction abnormalities and fatal arrhythmias secondary to MIS-C.

The emerging role of heart-on-a-chip systems in delineating mechanisms of SARS-CoV-2-induced cardiac dysfunction

Coronavirus disease 2019 (COVID-19) has been a major global health concern since its emergence in 2019, with over 680 million confirmed cases as of April 2023. While COVID-19 has been strongly associated with the development of cardiovascular complications, the specific mechanisms by which viral infection induces myocardial dysfunction remain largely controversial as studies have shown that the severe acute respiratory syndrome coronavirus-2 can lead to heart failure both directly, by causing damage to the heart cells, and indirectly, by triggering an inflammatory response throughout the body. In this review, we summarize the current understanding of potential mechanisms that drive heart failure based on in vitro studies. We also discuss the significance of three-dimensional heart-on-a-chip technology in the context of the current and future pandemics.

Major cardiovascular events after COVID-19 in people with HIV

OBJECTIVES

To assess the effect of COVID-19 on the postacute risk of cardiovascular events (CVEs) among people with HIV (PWH).

METHODS

Population-based matched cohort, including all PWH ≥16 years in the Catalan PISCIS HIV cohort. We estimated the incidence rate of the first CVE after COVID-19, analysed it a composite outcome (2020-2022). We adjusted for baseline differences using inverse probability weighting and used competing risk analysis.

RESULTS

We included 4199 PWH with and 14 004 PWH without COVID-19. The median follow-up was 243 days (interquartile range [IQR]: 93-455), 82% (14 941/18 203) were men, with a median age of 47 years. Overall, 211 PWH with COVID-19 and 621 without developed CVE, with an incidence rate of 70.2 and 56.8/1000 person-years, respectively. During COVID-19 infection, 7.6% (320/4199) required hospitalization and 0.6% (25/4199) intensive care unit admission, 97% (4079/4199) had CD4+T-cell ≥200 cells/μL, 90% (3791/4199) had HIV-RNA<50 copies/mL and 11.8% (496/4199) had previous CVE at baseline. The cumulative CVE incidence was higher among PWH after COVID-19 compared with PWH without COVID-19 during the first year (log-rank p=0.011). The multivariable analysis identified significantly increased CVE risk with age, heterosexual men, previous cardiovascular disease (CVD), and chronic kidney or liver disease. COVID-19 was associated with increased subsequent risk of CVE (adjusted hazard ratio 1.30 [95% CI, 1.09-1.55]), also when only including individuals without previous CVD (1.60 [95% CI, 1.11-2.29]) or nonhospitalized patients (1.34 [95% CI, 1.11-1.62]).

DISCUSSION

COVID-19 was associated with a 30% increased risk of major CVE in PWH during the subsequent year, suggesting that COVID-19 should be considered an additional CVD risk in PWH in the short term.

Early Effects of the COVID-19 Pandemic on Patients in a Virtual Multicenter Spontaneous Coronary Artery Dissection (SCAD) Registry

Background

The COVID-19 pandemic effects among patients with a history of spontaneous coronary artery dissection (SCAD), a cause of acute coronary syndrome associated with emotional and physical stress, are unknown.

Methods

For this cross-sectional cohort study, participants of the Mayo Clinic "Virtual" Multicenter SCAD Registry were surveyed about the COVID-19 pandemic.

Results

Among 1352 participants, 727 (53.8%) completed surveys between June 2, 2021 and September 29, 2021. The majority of respondents (96.7%) were female, with a mean age of 54.9 ± 9.4 years. At the time of completing the survey, which was early in the pandemic, 91 respondents (12.6%) reported having prior COVID-19 symptoms, with < 1% experiencing hospitalization (n = 4) or cardiac complications (n = 6). A total of 14% had ≥ moderate anxiety symptoms, per the General Anxiety Disorder-7 item survey, and 11.8% had ≥ moderate depressive symptoms, per the Patient Health Questionnaire-9 item. Higher stress scores on the Likert scale were correlated with pandemic-related reduction in work hours and/or pay and/or unemployment (P = 0.013), remote work and/or change of job (P < 0.001), and loss of insurance and/or medical coverage (P = 0.025). A higher anxiety level, as measured on the Likert scale, was correlated with pandemic-related remote work and/or change of job (P = 0.007) and loss of insurance and/or medical coverage (P = 0.008). Since the start of the pandemic, 54% of respondents reported having at least monthly chest pain. Chest pain and COVID symptoms were each associated with higher scores on the General Anxiety Disorder-7 item survey and the Patient Health Questionnaire-9 item.

Conclusions

Early in the pandemic, COVID-19 symptoms, hospitalization, and cardiac complications were uncommon among SCAD patients. The burden of anxiety and depressive symptoms was minimal to mild, similar to that in prior reports. Likert-scale measures of stress and anxiety were higher among persons with work and/or pay reduction and/or unemployment, remote work and/or change of job, and loss of insurance and/or medical coverage. Over half of respondents reported experiencing chest pain, which was correlated with depressive and anxiety symptoms, highlighting an overarching clinical need.

[Features of the Course of Arterial Hypertension in the Era of the COVID-19 Pandemic: Common Pathogenetic Links Between Hypertension and SARS-CoV-2]

The aim of this review was to present the mechanism of infection with severe acute respiratory syndrome-related coronavirus-2 (SARS-CoV-2) and its possible effect on the course of arterial hypertension. Another aim was to evaluate the relationship of the renin-angiotensin-aldosterone system with the pathogenetic stages of infection caused by SARS-CoV-2 virus.

Brief report: Effect of cardiac multi-morbidity on COVID hospitalization outcomes

BACKGROUND

The COVID-19 pandemic has stretched healthcare resources thin and led to significant morbidity and mortality. There have been no studies utilizing national data to investigate the role of cardiac risk factors on outcomes of COVID hospitalizations. The aim of this study was to examine the effect of cardiac multimorbidity on healthcare utilization and outcomes among COVID hospitalizations during the first year of the pandemic.

METHODS

Using the national inpatient sample (NIS), we identified all adult hospital admissions with a primary diagnosis of COVID in 2020, using International Classification of Diseases, Tenth Revision, Clinical Modification codes (ICD010-CM). Coronary artery disease, diabetes mellitus, heart failure, peripheral vascular disease, previous stroke, and atrial fibrillation were then identified as cardiac comorbidities using ICD-10-CM codes. Multivariable logistic regression was used to evaluate the effect of cardiac multimorbidity on mortality and mechanical ventilation.

RESULTS

We identified 1,005,040 primary COVID admissions in 2020. Of these admissions, 216,545 (20.6%) had CAD, 413,195 (39.4%) had DM, 176,780 (16.8%) had HF, 159,700 (15.2%) had AF, 30735 (2.9%) had PVD, and 25,155 (2.4%) had a previous stroke. When stratified by number of comorbidities, 428390 (40.8%) had 0 comorbidities, 354960 (33.8%) had 1, 161225 (15.4%) had 2, and 105465 (10.0%) had 3+ comorbidities. COVID hospitalizations with higher cardiac multimorbidity had higher mortality rates (p<0.001) higher MV rates (p<0.001). In our multivariable regression, these associations remained with increasing odds for mortality with each stepwise increase in cardiac multimorbidity (1: OR 1.48 (1.45-1.50); 2: OR 2.13 (2.09-2.17); 3+: OR 2.43 (2.38-2.48), p<0.001, all).

CONCLUSIONS

Our study is the first national examination of the impact of cardiac comorbidities on COVID outcomes. A higher number of cardiac comorbidities was associated with significantly higher rates of MV and in-hospital mortality, independent of age. Future, more granular, and longitudinal studies are needed to further examine these associations.

Organic Fluorophores with Large Stokes Shift for the Visualization of Rapid Protein and Nucleic Acid Assays

Organic small-molecule fluorophores, characterized by flexible chemical structure and adjustable optical performance, have shown tremendous potential in biosensing. However, classical organic fluorophore motifs feature large overlap between excitation and emission spectra, leading to the requirement of advanced optical set up to filter desired signal, which limits their application in scenarios with simple settings. Here, a series of wavelength-tunable small-molecule fluorescent dyes (PTs) bearing simple organic moieties have been developed, which exhibit Stokes shift up to 262 nm, molar extinction coefficients ranged 30,000-100,000 M-1 cm-1, with quantum yields up to 54.8 %. Furthermore, these dyes were formulated into fluorescent nanoparticles (PT-NPs), and applied in lateral flow assay (LFA). Consequently, limit of detection for SARS-CoV-2 nucleocapsid protein reached 20 fM with naked eye, a 100-fold improvement in sensitivity compared to the pM detection level for colloidal gold-based LFA. Besides, combined with loop-mediated isothermal amplification (LAMP), the LFA system achieved the visualization of single copy level nucleic acid detection for monkeypox (Mpox).

The Epidemiology of COVID-19 Vaccine-Induced Myocarditis

Background

In December 2019, the emergence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) led to the COVID-19 pandemic, with millions of deaths worldwide. Vaccine breakthroughs in late 2020 resulted in the authorization of COVID-19 vaccines. While these vaccines have demonstrated efficacy, evidence from vaccine safety monitoring systems around the globe supported a causal association between COVID-19 vaccines, in particular those using mRNA technology, i.e., Moderna's mRNA-1273 and Pfizer-BioNTech's BNT162b2, and myocarditis.

Objective

This paper aims to investigate the epidemiology of mRNA COVID-19 vaccine-induced myocarditis, including age, ethnicity, and gender associations with these vaccines. It also discusses the immunopathophysiological mechanisms of mRNA COVID-19 vaccine-associated myocarditis and outlines principles of diagnosis, clinical presentation, and management.

Methods

A literature review was conducted using PubMed, Embase, and Queen Mary University of London Library Services databases. Search terms included "myocarditis," "coronavirus disease 2019," "SARS-CoV-2," "mRNA Covid-19 vaccines," "Covid vaccine-associated myocarditis," "epidemiology," "potential mechanisms," "myocarditis diagnosis," and "myocarditis management."

Results

While the definite mechanism of mRNA COVID-19 vaccine-associated myocarditis remains ambiguous, potential mechanisms include molecular mimicry of spike proteins and activation of the adaptive immune response with dysregulated cytokine expression. Male predominance in COVID-19 vaccine-induced myocarditis may be attributed to sex hormones, variations in inflammatory reactions, coagulation states based on gender, and female-specific protective factors. Moreover, an analysis of diagnostic and management strategies reveals a lack of consensus on acute patient presentation management.

Conclusion

In contrast to viral infections that stand as the predominant etiological factor for myocarditis with more severe consequences, the mRNA COVID-19 vaccination elicits a mild and self-limiting manifestation of the condition. There is currently insufficient evidence to confirm the definite underlying mechanism of COVID-19 vaccine-associated myocarditis. Further research is needed to develop preventive and therapeutic solutions in this context.

Research progress of post-acute sequelae after SARS-CoV-2 infection

SARS-CoV-2 has spread rapidly worldwide and infected hundreds of millions of people worldwide. With the increasing number of COVID-19 patients discharged from hospitals, the emergence of its associated complications, sequelae, has become a new global health crisis secondary to acute infection. For the time being, such complications and sequelae are collectively called "Post-acute sequelae after SARS-CoV-2 infection (PASC)", also referred to as "long COVID" syndrome. Similar to the acute infection period of COVID-19, there is also heterogeneity in PASC. This article reviews the various long-term complications and sequelae observed in multiple organ systems caused by COVID-19, pathophysiological mechanisms, diagnosis, and treatment of PASC, aiming to raise awareness of PASC and optimize management strategies.

The effect of COVID-19 vaccination on 30-day mortality after cardiac surgery - Insights from the Israel national registries

Background

We compared the effect of perioperative COVID-19, before and after vaccination, on 30-day mortality after cardiac surgery.

Methods

Data was extracted from several national registries. The study period was March 1st, 2020-March 31st, 2022.

Results

2594 adult patients underwent cardiac surgery before the availability of a universal COVID-19 vaccine. 33 patients were diagnosed with COVID-19 prior to surgery (mean age 58.3±10.0, mean length of time 73.6±60.1 days) and 7 patients were diagnosed with COVID-19 0-14 days after surgery (age 66.4±7.6). These were compared to 4426 patients who underwent cardiac surgery after the availability of a universal vaccine: 469 patients were diagnosed with COVID-19 prior to surgery (age 62.1±10.1, length of time 175.8±158.2) and 32 patients diagnosed with COVID-19 0-14 days after surgery (age 60.8±14.5). In patients diagnosed with COVID-19 prior to surgery, there was no excess 30-day mortality either before or after vaccination (1 (3.0%) vs. 57 (2.2%), respectively, P<0.8, and 8 (1.7%) vs. 87 (2.2%), respectively, P<0.5). Patients diagnosed with COVID-19 after surgery, but before vaccination, had significantly higher 30-day mortality compared to COVID-19 negative patients (2 (28.6%) vs. 56 (2.2%) respectively, P<0.0001). This excess mortality disappeared after universal vaccination (1 (3.1%) vs. 94 (2.1%) respectively, P<0.7).

Conclusions

COVID-19, when diagnosed in the early post-operative period, was a risk factor for mortality before available vaccinations, but not after vaccination was widely available. Pre-surgery screening and post-surgical isolation is essential until vaccines are available. This data may be useful for patient management in future respiratory pandemics.

Spontaneous Coronary Artery Dissection and COVID-19: A Review of the Literature

SARS-CoV-2 is responsible for the global coronavirus disease 2019 (COVID-19) pandemic. While the cardiovascular effects of COVID-19 have been thoroughly described, there are limited published studies in the literature establishing a connection between spontaneous coronary artery dissection (SCAD) and COVID-19. Cardiovascular manifestations include, among others, myocarditis, acute myocardial infraction, and thrombosis. In general, SCAD is an uncommon and underdiagnosed cause of acute myocardial infarction (AMI), particularly in younger women and in patients with underlying fibromuscular dysplasia (FMD). Many patients with SCAD often report significant emotional stress, especially in relation with job loss, during the week preceding their cardiac event. Moreover, the COVID-19 pandemic has led to societal stress and increased unemployment, factors that have been associated with cardiovascular morbidity. SCAD emerges as a rare manifestation of coronary artery disease, which a few recent case reports link to COVID-19. The aim of this article is to summarize the relevant data on the pathophysiology of COVID-19 and SCAD along with a review of the reported cases on acute coronary syndrome (ACS) following SARS-CoV2 infection and, thus, to provide insights about the relationship between COVID-19 and SCAD.

Prevalence and prognostic implications of myocardial injury across different waves of COVID-19

Introduction

The prognostic ability of myocardial injury across different waves of the COVID-19 pandemic is not well established. The purpose of this study was to evaluate the prevalence and prognostic implications of myocardial injury in the first and sixth wave of COVID-19.

Methods

We conducted a retrospective observational study that included patients admitted to the emergency department with COVID-19 with data on concentrations of cardiac troponin during the first and sixth wave. We compared the prevalence of myocardial injury and its predictive capacity for 30-day all-cause death in both waves.

Results and discussion

A total of 346 patients were included (1st wave 199 and 6th wave 147 patients). The prevalence of myocardial injury was 21% with non-significant differences between waves. Myocardial injury was associated, in both waves, with a higher prevalence of comorbidities and with an increased risk of 30-day all-cause death [1st wave HR: 3.73 (1.84-7.55); p < 0.001 and 6th wave HR: 3.13 (1.23-7.92); p = 0.016], with non-significant differences in predictive capacity between groups after ROC curve analysis [AUC: 1st wave 0.829 (95% CI: 0.764-0.895) and 6th wave 0.794 (95% CI: 0.711-0.876)]. As limitations, this is a retrospective study with a relatively small simple size and troponin assay was performed at the discretion of the emergency physician so selection bias could be present. In conclusion, the prevalence of myocardial injury and its prognostic capacity was similar in both waves despite vaccination programs. Myocardial injury predicts short-term mortality in all COVID-19 patients, so they should be treated intensively.

Beyond acute infection: molecular mechanisms underpinning cardiovascular complications in long COVID

SARS-CoV-2, responsible for the global COVID-19 pandemic, has manifested significant cardiovascular implications for the infected population. These cardiovascular repercussions not only linger beyond the initial phase of illness but have also been observed in individuals who remain asymptomatic. This extended and pervasive impact is often called the post-acute COVID-19 syndrome (PACS) or "Long COVID". With the number of confirmed global cases approaching an alarming 756 million, the multifaceted challenges of Long COVID are undeniable. These challenges span from individual health complications to considerable burdens on worldwide healthcare systems. Our review comprehensively examines the complications of the persistent cardiovascular complications associated with COVID-19. Furthermore, we shed light on emerging therapeutic strategies that promise to manage and possibly mitigate these complications. We also introduce and discuss the profound concerns regarding the potential transgenerational repercussions of SARS-CoV-2, emphasizing the need for a proactive and informed approach to future research and clinical practice.

Organoids in virology

To adequately prepare against imminent disease outbreaks from diverse and ever-changing viral pathogens, improved experimental models that can accurately recapitulate host-virus responses and disease pathogenesis in human are essential. Organoid platforms have emerged in recent years as amenable in vitro tools that can bridge the limitations of traditional 2D cell lines and animal models for viral disease research. We highlight in this review the key insights that have contributed by organoid models to virus research, the limitations that exist in current platforms, and outline novel approaches that are being applied to address these shortcomings.

Adjuvants in COVID-19 vaccines: innocent bystanders or culpable abettors for stirring up COVID-heart syndrome

COVID-19 infection is a multi-system clinical disorder that was associated with increased morbidity and mortality. Even though antiviral therapies such as Remdesvir offered modest efficacy in reducing the mortality and morbidity, they were not efficacious in reducing the risk of future infections. So, FDA approved COVID-19 vaccines which are widely administered in the general population worldwide. These COVID-19 vaccines offered a safety net against future infections and re-infections. Most of these vaccines contain inactivated virus or spike protein mRNA that are primarily responsible for inducing innate and adaptive immunity. These vaccines were also formulated to contain supplementary adjuvants that are beneficial in boosting the immune response. During the pandemic, clinicians all over the world witnessed an uprise in the incidence and prevalence of cardiovascular diseases (COVID-Heart Syndrome) in patients with and without cardiovascular risk factors. Clinical researchers were not certain about the underlying reason for the upsurge of cardiovascular disorders with some blaming them on COVID-19 infections while others blaming them on COVID-19 vaccines. Based on the literature review, we hypothesize that adjuvants included in the COVID-19 vaccines are the real culprits for causation of cardiovascular disorders. Operation of various pathological signaling events under the influence of these adjuvants including autoimmunity, bystander effect, direct toxicity, anti-phospholipid syndrome (APS), anaphylaxis, hypersensitivity, genetic susceptibility, epitope spreading, and anti-idiotypic antibodies were partially responsible for stirring up the onset of cardiovascular disorders. With these mechanisms in place, a minor contribution from COVID-19 virus itself cannot be ruled out. With that being said, we strongly advocate for careful selection of vaccine adjuvants included in COVID-19 vaccines so that future adverse cardiac disorders can be averted.

Analysis of acute COVID-19 including chronic morbidity: protocol for the deep phenotyping National Pandemic Cohort Network in Germany (NAPKON-HAP)

BACKGROUND

The severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) pandemic causes a high burden of acute and long-term morbidity and mortality worldwide despite global efforts in containment, prophylaxis, and therapy. With unprecedented speed, the global scientific community has generated pivotal insights into the pathogen and the host response evoked by the infection. However, deeper characterization of the pathophysiology and pathology remains a high priority to reduce morbidity and mortality of coronavirus disease 2019 (COVID-19).

METHODS

NAPKON-HAP is a multi-centered prospective observational study with a long-term follow-up phase of up to 36 months post-SARS-CoV-2 infection. It constitutes a central platform for harmonized data and biospecimen for interdisciplinary characterization of acute SARS-CoV-2 infection and long-term outcomes of diverging disease severities of hospitalized patients.

RESULTS

Primary outcome measures include clinical scores and quality of life assessment captured during hospitalization and at outpatient follow-up visits to assess acute and chronic morbidity. Secondary measures include results of biomolecular and immunological investigations and assessment of organ-specific involvement during and post-COVID-19 infection. NAPKON-HAP constitutes a national platform to provide accessibility and usability of the comprehensive data and biospecimen collection to global research.

CONCLUSION

NAPKON-HAP establishes a platform with standardized high-resolution data and biospecimen collection of hospitalized COVID-19 patients of different disease severities in Germany. With this study, we will add significant scientific insights and provide high-quality data to aid researchers to investigate COVID-19 pathophysiology, pathology, and chronic morbidity.

Association Between History of Polymerase Chain Reaction-verified COVID-19 Infection and Outcomes of Subsequent ST-Elevation Myocardial Infarction

While the acute phase of coronavirus disease 2019 (COVID-19) is associated with worsening cardiac outcomes, it is unclear whether it affects the outcome of patients with ST-segment elevation myocardial infarction (STEMI) after the acute phase. In addition, while many studies compared the course of STEMI during the COVID-19 pandemic with the years before the outbreak, we evaluated the course of STEMI during the pandemic according to whether or not patients had history of COVID-19. Patients diagnosed with STEMI during the ongoing COVID-19 pandemic were included in the study. The Ministry of Health database was analyzed retrospectively, and patients with (n = 191) and without (n = 127) a history of polymerase chain reaction (PCR) confirmed COVID-19 infection were divided into groups. Clinical and angiographic characteristics were assessed. The rates of in-hospital major adverse cardiac events (MACE) were higher in those who had a history of PCR-verified COVID-19 infection. Angiographic and procedural findings indicating successful reperfusion were better in patients without a history of COVID-19. A history of COVID-19 infection (odds ratio 1.40, 95% confidence interval 1.25-1.60, P < .01) independently predicted MACE. A history of COVID-19 infection is a predictor of worse outcomes following coronary intervention and in-hospital MACE among patients with STEMI.

The potential of Ethiopian medicinal plants to treat emergent viral diseases

Ethiopians have deep-rooted traditions of using plants to treat ailments affecting humans and domesticated animals. Approximately 80% of the population continues to rely on traditional medicine, including for the prevention and treatment of viral diseases. Many antiviral plants are available to and widely used by communities in areas where access to conventional healthcare systems is limited. In some cases, pharmacological studies also confirm the potent antiviral properties of Ethiopian plants. Building on traditional knowledge of medicinal plants and testing their antiviral properties may help to expand options to address the global pandemic of COVID-19 including its recently isolated virulent variants and prepare for similar outbreaks in the future. Here, we provide an ethnobotanical and pharmacological inventory of Ethiopian medicinal plants that might contribute to the prevention and treatment of viral diseases. We identified 387 species, about 6% of Ethiopia's known flora, for which records of use by local communities and traditional herbalists have been documented for the treatment of viral diseases. We provide a framework for further investigation and development of this vital resource much anticipated to help combat emergent viral diseases along with existing ones in Ethiopia and elsewhere.

Longitudinal strain and myocardial work in symptomatic patients having recovered from COVID-19 and possible associations with the severity of the disease

COVID-19 may have residual consequences in multiple organs, including the cardiovascular system. The purpose of the present investigation is to quantify myocardial function in symptomatic individuals with long COVID and investigate the association between illness severity and myocardial function. A retrospective cross-sectional study was conducted in which symptomatic individuals with previous COVID-19 underwent echocardiographic analysis of left ventricle global longitudinal strain (LVGLS) and myocardial work (MW). Individuals also performed cardiopulmonary testing (CPX) to assess peak oxygen uptake (VO2peak). Differences between illness severity subgroups were analyzed by the Mann-Whitney test. Correlations were calculated using the Spearman correlation test. Multilinear regressions were performed to evaluate the influences of COVID-19 severity, body mass index, age, and sex on MW. Fifty-six individuals were included (critical subgroup: 17; moderate/severe subgroup: 39), 59% females; median age: 56 years (IQR: 43-63). CPX revealed a substantial reduction in VO2peak (median of 53% of predicted values). LVGLS were not statistically different between subgroups. Global wasted work (GWW) was higher in the critical subgroup [146 (104-212) versus 121 (74-163) mmHg%, p = 0.01], and global work efficiency (GWE) was lower in this subgroup [93 (91-95) versus 94 (93-96), p = 0.03]. Illness severity was the only independent predictor of GWW and GWE (GWW: r2 = 0.167; p = 0.009; GWE: r2 = 0.172; p = 0.005) in multilinear regressions. In our study with long COVID-19 individuals, despite having a similar LVGLS, patients had subclinical LV dysfunction, demonstrated only by an increase in GWW and a decrease in GWE.

Assessing Global, Regional, and National Time Trends and Associated Risk Factors of the Mortality in Ischemic Heart Disease Through Global Burden of Disease 2019 Study: Population-Based Study

BACKGROUND

Ischemic heart disease (IHD) is the leading cause of death among noncommunicable diseases worldwide, but data on current epidemiological patterns and associated risk factors are lacking.

OBJECTIVE

This study assessed the global, regional, and national trends in IHD mortality and attributable risks since 1990.

METHODS

Mortality data were obtained from the Global Burden of Disease 2019 Study. We used an age-period-cohort model to calculate longitudinal age curves (expected longitudinal age-specific rate), net drift (overall annual percentage change), and local drift (annual percentage change in each age group) from 15 to >95 years of age and estimate cohort and period effects between 1990 and 2019. Deaths from IHD attributable to each risk factor were estimated on the basis of risk exposure, relative risks, and theoretical minimum risk exposure level.

RESULTS

IHD is the leading cause of death in noncommunicable disease-related mortality (118.1/598.8, 19.7%). However, the age-standardized mortality rate for IHD decreased by 30.8% (95% CI -34.83% to -27.17%) over the past 30 years, and its net drift ranged from -2.89% (95% CI -3.07% to -2.71%) in high sociodemographic index (SDI) region to -0.24% (95% CI -0.32% to -0.16%) in low-middle-SDI region. The greatest decrease in IHD mortality occurred in the Republic of Korea (high SDI) with net drift -6.06% (95% CI -6.23% to -5.88%), followed by 5 high-SDI nations (Denmark, Norway, Estonia, the Netherlands, and Ireland) and 2 high-middle-SDI nations (Israel and Bahrain) with net drift less than -5.00%. Globally, age groups of >60 years continued to have the largest proportion of IHD-related mortality, with slightly higher mortality in male than female group. For period and birth cohort effects, the trend of rate ratios for IHD mortality declined across successive period groups from 2000 to 2004 and birth cohort groups from 1985 to 2000, with noticeable improvements in high-SDI regions. In low-SDI regions, IHD mortality significantly declined in female group but fluctuated in male group across successive periods; sex differences were greater in those born after 1945 in middle- and low-middle-SDI regions and after 1970 in low-SDI regions. Metabolic risks were the leading cause of mortality from IHD worldwide in 2019. Moreover, smoking, particulate matter pollution, and dietary risks were also important risk factors, increasingly occurring at a younger age. Diets low in whole grains and legumes were prominent dietary risks in both male and female groups, and smoking and high-sodium diet mainly affect male group.

CONCLUSIONS

IHD, a major concern, needs focused health care attention, especially for older male individuals and those in low-SDI regions. Metabolic risks should be prioritized for prevention, and behavioral and environmental risks should attract more attention to decrease IHD mortality.

Humoral and Cellular Immune Response after Three Doses of Sinopharm [Vero Cell]-Inactivated COVID-19 Vaccine in Combination with SARS-CoV-2 Infection Leads to Hybrid Immunity

BACKGROUND

Several vaccines against COVID-19 have been developed and licensed to enhance the immune response against SARS-CoV-2. Similarly, previous infection with SARS-CoV-2 has been shown to provide significant protection against severe infection and hospitalization.

METHODS

We investigated the effect of three doses of the Sinopharm vaccine and SARS-CoV-2 infection on the specific immune response in 103 volunteers, measuring neutralizing antibodies, anti-S1 IgG, anti-RBD IgM, anti-N IgM, anti-N IgG antibodies, and INF γ.

RESULTS

Our results showed that the presence of cardiovascular diseases increased the level of anti-N-IgG antibodies, while endocrinological diseases decreased the level of neutralizing antibodies and anti-N IgG antibodies, suggesting that these diseases alter the effect of vaccine-induced immunity. In addition, there was a significant decrease in anti-S1 IgG levels at 6 months and in anti-N IgG levels 18 months post-infection, while neutralizing antibodies and INF γ levels were constant at 3, 6, and 18 months post-infection.

CONCLUSIONS

Our results confirm the emergence of hybrid immunity, which is the strongest and most durable compared to natural immunity or vaccine-induced immunity. Significant positive correlations were found between humoral and cellular immunity markers: neutralizing antibodies, anti-S1 IgG and anti-N IgG antibodies, and INF γ, indicating a unique coordinated response specific to COVID-19.

COVID-19-related cardiovascular disease risk due to weight gain: a nationwide cohort study

BACKGROUND

Cardiovascular disease (CVD) is a significant contributor to morbidity and mortality worldwide, with CVD and post-acute COVID-19 associated CVD increasing. It remains unknown whether COVID-19 patients with weight gain are at a high risk for CVD events. Therefore, the primary objective of this study is to investigate the association between weight control and the risk of CVD following COVID-19.

METHODS

The study included 2,024,728 adults who participated in two rounds of health screening between 2017 and 2020. The final cohort, which included 70,996 participants in the COVID-19 group and 212,869 participants in the control group. The adjusted hazard ratio of BMI change to CVD risk was calculated using Cox proportional hazards regression.

RESULTS

We identified a total of 2869 cases of CVD (861 events for COVID-19 group and 2,008 events for the control group). Compared to individuals with a stable BMI, COVID-19 patients without obesity had an increased risk of CVD (adjusted hazard ratio [aHR] = 2.28; 95% confidence interval [CI], 1.15-4.53; p-value = 0.018). Additionally, non-COVID-19 patients with obesity also exhibited a higher risk of CVD (aHR = 1.58; 95% CI, 1.01-2.47; p-value = 0.046).

CONCLUSION

In conclusion, people who gained weight during the pandemic, regardless of their weight category, had a significantly higher risk of CVD associated with COVID-19 compared to those who maintained their weight before the pandemic.

The Burden of Cardiovascular Diseases Due to COVID-19 Pandemic

The coronavirus disease 2019 (COVID-19) is an infection caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that produces respiratory symptoms and has serious consequences for people's cardiovascular systems (CVS). It is a severe issue and a major task not only for health care experts but also for governments to contain this pandemic. SARS-CoV-2 is the seventh member of the human coronavirus family to be implicated in this zoonotic outbreak. COVID-19's CV interactions are comparable to those of SARS-CoV, Middle East respiratory syndrome (MERS-CoV), and influenza. Those who have COVID-19 and underlying cardiovascular diseases (CVDs) are at a higher risk of serious illness and mortality, and disease has been linked to several direct and indirect CV consequences. COVID-19 causes CVDs such as arrhythmias, cardiac arrest, cardiogenic shock, myocarditis, stress-cardiomyopathy, and acute myocardial damage (AMD) as a consequence of acute coronary syndrome. The provision of CV care may expose health care professionals to risk as they become hosts or vectors of viral transmission. It binds to the angiotensin-converting enzyme receptor, causing constitutional and pulmonary signs in the beginning, and then as the infection advances, it affects other organs such as the gastrointestinal tract, CVS, neurological system, and so on. COVID-19 mortality is increased by underlying CVDs comorbidities.

A Novel Combined Model to Predict the Prognosis of COVID-19: Radiologicalmetabolic Scoring

AIM

To investigate the performance of a novel radiological-metabolic scoring (RM-S) system to predict mortality and intensive care unit (ICU) requirements among COVID-19 patients and to compare performance with the chest computed-tomography severity-scoring (C-CT-SS). The RMS was created from scoring systems such as visual coronary-artery-calcification scoring (V-CAC-S), hepatic-steatosis scoring (HS-S) and pancreatic-steatosis scoring (PS-S).

METHODS

Between May 2021 and January 2022, 397 patients with COVID-19 were included in this retrospective cohort study. All demographic, clinical and laboratory data and chest CT images of patients were retrospectively reviewed. RM-S, V-CAC-S, HS-S, PS-S and C-CT-SS scores were calculated, and their performance in predicting mortality and ICU requirement were evaluated by univariate and multivariable analyses.

RESULTS

A total of 32 (8.1%) patients died, and 77 (19.4%) patients required ICU admission. Mortality and ICU admission were both associated with older age (p < 0.001). Sex distribution was similar in the deceased vs. survivor and ICU vs. non-ICU comparisons (p = 0.974 and p = 0.626, respectively). Multiple logistic regression revealed that mortality was independently associated with having a C-CT-SS score of ≥ 14 (p < 0.001) and severe RM-S category (p = 0.010), while ICU requirement was independently associated with having a C-CT-SS score of ≥ 14 (p < 0.001) and severe V-CAC-S category (p = 0.010).

CONCLUSION

RM-S, C-CT-SS, and V-CAC-S are useful tools that can be used to predict patients with poor prognoses for COVID-19. Long-term prospective follow-up of patients with high RM-S scores can be useful for predicting long COVID.

QTc Prolongation to Predict Mortality in Patients Admitted with COVID-19 Infection: An Observational Study

BACKGROUND

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) causes Coronavirus disease 2019 (COVID-19), characterized by pulmonary infection ranging from asymptomatic forms to respiratory insufficiency and death. Evidence of cardiac involvement in COVID-19 is increasing, and systemic inflammation or direct heart damage by SARS-CoV-2 can prolong the corrected QT interval (QTc).

METHODS

In this observational study, a total of 333 consecutive patients admitted to the Covid Center of Verona University Hospital from November 2020 to April 2021 were included. Patients with bundle branch block, pacemaker-controlled heart rhythm and heart rate >120 beats/min were excluded. A complete electrocardiogram (ECG) was performed at admission, and QTc values of ≥440 ms for males and ≥460 ms for females were considered prolonged.

RESULTS

Overall, 153 patients had prolonged QTc (45.5%). In multivariate logistic regression analysis, male sex (odds ratio (OR)=6.612, p=0.046), troponin (OR=1.04, p=0.015) and lymphocyte count (OR=3.047, p=0.019) were independently associated with QTc prolongation. Multivariate logistic regression showed that QTc was independently associated with mortality (OR=4.598, p=0.036). Age, sex, the ratio between the partial pressure of oxygen (PaO2) and the fraction of inspired oxygen (FiO2) (P/F), and fibrosis-4 index for liver fibrosis (FIB-4) were also independently associated with mortality.

CONCLUSION

QTc interval prolongation appears to be a frequent finding in patients with COVID-19. Moreover, prolonged QTc may be predictive of more severe forms of COVID-19 and worse outcome.

Identifying diseases associated with Post-COVID syndrome through an integrated network biology approach

A growing body of research shows that COVID-19 is now recognized as a multi-organ disease with a wide range of manifestations that can have long-lasting repercussions, referred to as post-COVID-19 syndrome. It is unknown why the vast majority of COVID-19 patients develop post-COVID-19 syndrome, or why patients with pre-existing disorders are more likely to experience severe COVID-19. This study used an integrated network biology approach to obtain a comprehensive understanding of the relationship between COVID-19 and other disorders. The approach involved building a PPI network with COVID-19 genes and identifying highly interconnected regions. The molecular information contained within these subnetworks, as well as the pathway annotations, were used to reveal the link between COVID-19 and other disorders. Using Fisher's exact test and disease-specific gene information, significant COVID-19-disease associations were discovered. The study discovered diseases that affect multiple organs and organ systems, thus proving the theory of multiple organ damage caused by COVID-19. Cancers, neurological disorders, hepatic diseases, cardiac disorders, pulmonary diseases, and hypertensive diseases are just a few of the conditions linked to COVID-19. Pathway enrichment analysis of shared proteins revealed the shared molecular mechanism of COVID-19 and these diseases. The findings of the study shed new light on the major COVID-19-associated disease conditions and how their molecular mechanisms interact with COVID-19. The novelty of studying disease associations in the context of COVID-19 provides new insights into the management of rapidly evolving long-COVID and post-COVID syndromes, which have significant global implications.Communicated by Ramaswamy H. Sarma.

Cardiac Complications and COVID-19: A Review of Life-threatening Co-morbidities

The novel 2019 coronavirus disease (COVID-19) was first reported in the last days of December 2019 in Wuhan, China. The presence of certain co-morbidities, including cardiovascular diseases (CVDs), are the basis for worse outcomes in patients with COVID-19. Relevant English-language literature was searched and retrieved from the Google Scholar search engine and PubMed database up to 2023 using COVID-19, SARS-CoV-2, Heart failure, Myocardial infarction, and Arrhythmia and Cardiac complication as keywords. Increased hemodynamic load, ischemia-related dysfunction, ventricular remodeling, excessive neurohumoral stimulation, abnormal myocyte calcium cycling, and excessive or insufficient extracellular matrix proliferation are associated with heart failure (HF) in COVID-19 patients. Inflammatory reaction due to the excessive release of inflammatory cytokines, leads to myocardial infarction (MI) in these patients. The virus can induce heart arrhythmia through cardiac complications, hypoxia, decreased heart hemodynamics, and remarkable inflammatory markers. Moreover, studies have linked cardiac complications in COVID-19 with poor outcomes, extended hospitalization time, and increased mortality rate. Patients with COVID-19 and CVDs are at higher mortality risk and they should be given high priority when receiving the treatment and intensive care during hospitalization.

[Cardiovascular disease before and after COVID-19 infection: One-year survival]

AIM

To analyze the risk of COVID-19 in relation to previous morbidity; to analyze the risk of new cardiovascular events (CVE) in COVID-19 patients and one-year survival.

METHODOLOGY

Case-control study and prospective cohort study. Two hundred and seventy-five randomized patients >18 years old with COVID-19 were included and matched with 825 without COVID-19 by age and sex (ratio 1:3). The main variables were diagnosis of COVID-19 and post-COVID-19 events. Sociodemographic variables, comorbidity, and previous CVD were studied. Two predictive models of factors associated with the development of COVID-19 and post-COVID-19 CVE were performed, as well as a one-year survival analysis.

RESULTS

Men with a previous CVE double the risk of suffering from COVID-19 (OR 2.11; 95% CI: 1.32-3.36). In women, the risk increases with age (OR 1.01; 95% CI: 1.00-1.02), diabetes (DM) (OR 1.90; 95% CI: 1.14-3.17) and cognitive impairment (OR 4.88; 95% CI: 2.50-9.53). Immunosuppression acts as a protective factor in both sexes. Age (OR 1.02; 95% CI: 1.00-1.04), arterial hypertension (OR 2.21; 95% CI: 1.17-4.17), COVID-19 infection (OR 4.81; 95% CI: 2.89-7.98) and previous CVE (OR 4.46; 95% CI: 2.56-7.75) predict the development of a new post-COVID-19 CVE. Positive COVID-19 has lower survival (median 7 days vs. 184 days).

CONCLUSIONS

Previous CVE in men and DM along with cognitive impairment in women increase the risk of presenting COVID-19. Age, arterial hypertension, previous CVE, and COVID-19 infection predict the appearance of new CVE.

Balancing the value and risk of exercise-based therapy post-COVID-19: a narrative review

Coronavirus disease 2019 (COVID-19) can lead to ongoing symptoms such as breathlessness, fatigue and muscle pain, which can have a substantial impact on an individual. Exercise-based rehabilitation programmes have proven beneficial in many long-term conditions that share similar symptoms. These programmes have favourably influenced breathlessness, fatigue and pain, while also increasing functional capacity. Exercise-based rehabilitation may benefit those with ongoing symptoms following COVID-19. However, some precautions may be necessary prior to embarking on an exercise programme. Areas of concern include ongoing complex lung pathologies, such as fibrosis, cardiovascular abnormalities and fatigue, and concerns regarding post-exertional symptom exacerbation. This article addresses these concerns and proposes that an individually prescribed, symptom-titrated exercise-based intervention may be of value to individuals following infection with severe acute respiratory syndrome coronavirus 2.

Diagnosis of COVID-19 with simultaneous accurate prediction of cardiac abnormalities from chest computed tomographic images

COVID-19 has potential consequences on the pulmonary and cardiovascular health of millions of infected people worldwide. Chest computed tomographic (CT) imaging has remained the first line of diagnosis for individuals infected with SARS-CoV-2. However, differentiating COVID-19 from other types of pneumonia and predicting associated cardiovascular complications from the same chest-CT images have remained challenging. In this study, we have first used transfer learning method to distinguish COVID-19 from other pneumonia and healthy cases with 99.2% accuracy. Next, we have developed another CNN-based deep learning approach to automatically predict the risk of cardiovascular disease (CVD) in COVID-19 patients compared to the normal subjects with 97.97% accuracy. Our model was further validated against cardiac CT-based markers including cardiac thoracic ratio (CTR), pulmonary artery to aorta ratio (PA/A), and presence of calcified plaque. Thus, we successfully demonstrate that CT-based deep learning algorithms can be employed as a dual screening diagnostic tool to diagnose COVID-19 and differentiate it from other pneumonia, and also predicts CVD risk associated with COVID-19 infection.

The impact of COVID-19 on pulmonary, neurological, and cardiac outcomes: evidence from a Mendelian randomization study

Background

Long COVID is a clinical entity characterized by persistent health problems or development of new diseases, without an alternative diagnosis, following SARS-CoV-2 infection that affects a significant proportion of individuals globally. It can manifest with a wide range of symptoms due to dysfunction of multiple organ systems including but not limited to cardiovascular, hematologic, neurological, gastrointestinal, and renal organs, revealed by observational studies. However, a causal association between the genetic predisposition to COVID-19 and many post-infective abnormalities in long COVID remain unclear.

Methods

Here we employed Mendelian randomization (MR), a robust genetic epidemiological approach, to investigate the potential causal associations between genetic predisposition to COVID-19 and long COVID symptoms, namely pulmonary (pneumonia and airway infections including bronchitis, emphysema, asthma, and rhinitis), neurological (headache, depression, and Parkinson's disease), cardiac (heart failure and chest pain) diseases, and chronic fatigue. Using two-sample MR, we leveraged genetic data from a large COVID-19 genome-wide association study and various disorder-specific datasets.

Results

This analysis revealed that a genetic predisposition to COVID-19 was significantly causally linked to an increased risk of developing pneumonia, airway infections, headache, and heart failure. It also showed a strong positive correlation with chronic fatigue, a frequently observed symptom in long COVID patients. However, our findings on Parkinson's disease, depression, and chest pain were inconclusive.

Conclusion

Overall, these findings provide valuable insights into the genetic underpinnings of long COVID and its diverse range of symptoms. Understanding these causal associations may aid in better management and treatment of long COVID patients, thereby alleviating the substantial burden it poses on global health and socioeconomic systems.

Causal relationship between COVID-19 and myocarditis or pericarditis risk: a bidirectional Mendelian randomization study

Background & aims

Coronavirus disease 2019 (COVID-19) is strongly associated with myocarditis or pericarditis risk in observational studies, however, there are still studies that do not support the above conclusion. Whether the observed association reflects causation needs to be confirmed. We performed a bidirectional Mendelian randomization (MR) study to assess the causal relationship of COVID-19, which was divided into three groups, namely severe COVID-19, hospitalized COVID-19, and COVID-19 infection, measured by myocarditis or pericarditis.

Methods

We extracted summary genome-wide association statistics for the severe COVID-19 (case: 13,769, control: 1,072,442), hospitalized COVID-19 (case: 32,519, control: 2,062,805), COVID-19 infection (case: 122,616, control: 2,475,240), myocarditis (case 1,521, control 191,924), and pericarditis (case 979, control 286,109) among individuals of European ancestry. Independent genetic variants that exhibited a significant association with each phenotype at the genome-wide level of significance were utilized as instrumental variables. Estimation of the causal effect was mainly performed using the random effects inverse-variance weighted method (IVW). Additionally, other tests such as MR-Egger intercept, MR-PRESSO, Cochran's Q-test, "Leave-one-out", and funnel plots were conducted to assess the extent of pleiotropy and heterogeneity.

Results

Non-associations in the IVW and sensitivity analyses were observed for COVID-19 with myocarditis or pericarditis. Severe COVID-19 was not associated with myocarditis [odds ratio (OR), 1.00; 95% confidence interval (CI), 0.89-1.12; P = 0.99], pericarditis (OR = 0.90, 95% CI, 0.78-1.04, P = 0.17). Similar results can be observed in hospitalized COVID-19, and COVID-19 infection. At the same time, null associations were observed for myocarditis or pericarditis with COVID-19 traits in the reverse direction. The main results are kept stable in the sensitivity analysis.

Conclusion

There is no evidence that COVID-19 is independently and causally associated with myocarditis or pericarditis.

COVID-19 and Cardiovascular Diseases: From Cellular Mechanisms to Clinical Manifestations

Coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), quickly spread worldwide and led to over 581 million confirmed cases and over 6 million deaths as 1 August 2022. The binding of the viral surface spike protein to the human angiotensin-converting enzyme 2 (ACE2) receptor is the primary mechanism of SARS-CoV-2 infection. Not only highly expressed in the lung, ACE2 is also widely distributed in the heart, mainly in cardiomyocytes and pericytes. The strong association between COVID-19 and cardiovascular disease (CVD) has been demonstrated by increased clinical evidence. Preexisting CVD risk factors, including obesity, hypertension, and diabetes etc., increase susceptibility to COVID-19. In turn, COVID-19 exacerbates the progression of CVD, including myocardial damage, arrhythmia, acute myocarditis, heart failure, and thromboembolism. Moreover, cardiovascular risks post recovery and the vaccination-associated cardiovascular problems have become increasingly evident. To demonstrate the association between COVID-19 and CVD, this review detailly illustrated the impact of COVID-19 on different cells (cardiomyocytes, pericytes, endothelial cells, and fibroblasts) in myocardial tissue and provides an overview of the clinical manifestations of cardiovascular involvements in the pandemic. Finally, the issues related to myocardial injury post recovery, as well as vaccination-induced CVD, has also been emphasized.