Cardiovascular Implications of the COVID-19 Pandemic: A Global Perspective

The Intersection of Atrial Fibrillation and Coronary Artery Disease in Middle Eastern Patients. Analysis from the Jordan Atrial Fibrillation Study

Background

There is a scarcity of clinical studies which evaluate the association of atrial fibrillation (AF) and coronary artery disease (CAD) in the Middle East. The aim of this study was to evaluate the impact of CAD on baseline clinical profiles and one-year outcomes in a Middle Eastern cohort with AF.

Methods

Consecutive AF patients evaluated in 29 hospitals and cardiology clinics were enrolled in the Jordan AF Study (May 2019-December 2020). Clinical and echocardiographic features, use of medications and one-year outcomes in patients with AF/CAD were compared to AF/no CAD patients.

Results

Of 2020 AF patients enrolled, 216 (10.7%) had CAD. Patients with AF/CAD were more likely to be men and had significantly higher prevalence of hypertension, diabetes, dyslipidemia, heart failure and chronic kidney disease compared to the AF/no CAD patients. They also had lower mean left ventricular ejection fraction and larger left atrial size. Mean CHA2DS2 VASc and HAS-BLED scores were higher in AF/CAD patients than those with AF/no CAD (4.3 ± 1.7 vs. 3.6 ± 1.8, p < 0.0001) and (2.0 ± 1.1 vs. 1.6 ± 1.1, p < 0.0001), respectively. Oral anticoagulant agents were used in similar rates in the two groups (83.8% vs. 82.9%, p = 0.81), but more patients with AF/CAD were prescribed additional antiplatelet agents compared to patients with AF/no CAD (73.7% vs. 41.5%, p < 0.0001). At one year, AF/CAD patients, compared to AF/no CAD patients had significantly higher hospitalization rate (39.4% vs. 29.2%, p = 0.003), more acute coronary syndrome and coronary revascularization (6.9% vs. 2.4%, p = 0.004), and higher all-cause mortality (18.5% vs. 10.9%, p = 0.002).

Conclusions

In this cohort of Middle Eastern patients with AF, one in 10 patients had CAD. The coexistence of AF and CAD was associated with a worse baseline clinical profile and one-year outcomes. Clinical study registration: the study is registered on clinicaltrials.gov (unique identifier number NCT03917992).

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.

Epidemiological, clinical, and economic burden of myocardial infarction patients in Iran during the COVID-19 pandemic

Background

To define changes in AMI case rates, patient demographics, cardiovascular comorbidities, treatment approaches, in-hospital outcomes, and the economic burden of COVID-19 during the pandemic.

Methods

We conducted a multicenter, observational survey with selected hospitals from three medical universities in Tehran city. A data collection tool consisting of three parts. The first part included socio-demographic information, and the second part included clinical information, major complications, and in-hospital mortality. Finally, the third part was related to the direct medical costs generated by AMI in COVID-19 and non-COVID-19 patients. The study cohort comprised 4,560 hospitalizations for AMI (2,935 for STEMI [64%] and 1,625 for NSTEMI [36%]).

Results

Of those hospitalized for AMI, 1,864 (76.6 %) and 1,659 (78 %) were male before the COVID-19 outbreak and during the COVID-19 era, respectively. The length of stay (LOS), was significantly lower during the COVID-19 pandemic era (4.27 ± 3.63 vs 5.24 ± 5.17, p = 0.00). Results showed that there were no significant differences in terms of patient risk factors across periods. A total of 2,126 AMIs were registered during the COVID-19 era, with a 12.65 % reduction (95 % CI 1.5-25.1) compared with the equivalent time in 2019 (P = 0.179). The risk of in-hospital mortality rate for AMI patients increased from 4.9 % in 2019 to 7.0 % in the COVID-19 era (OR = 1.42; 95 % CI 1.11-1.82; P = 0.004). Major complications were registered in 9.7 % of cases in 2020, which is higher than the rate of 6.6 % reported in 2019 (OR = 1.46, 95 % CI 1.11-1.82; P = 0.000). Total costs in hospitalized AMI-COVID patients averaged $188 more than in AMI patients (P = 0.020).

Conclusion

This cross-sectional study found important changes in AMI hospitalization rates, worse outcomes, and higher costs during the COVID-19 periods. Future studies are recommended to examine the long-term outcomes of hospitalized AMI patients during the COVID-19 era.

Acute COVID-19, the Lived Experience, and Lessons to Learn for Future Pandemics

OBJECTIVES

The study aimed to increase the understanding of the lived experience of patients during the acute phase of a coronavirus disease 2019 (COVID-19) infection.

METHOD

A Web-based survey was distributed through established patient and public engagement and involvement groups and networks, social media, and by means of word of mouth. The survey covered questions relating to patient demographics, COVID-19 diagnosis, symptom profile, and patient experience during acute COVID-19.

RESULTS

The findings demonstrate the varying symptom profiles experienced by people in the acute stage of COVID-19 infection, with participants sharing how they managed care at home, and/or accessed medical advice. Findings also highlight themes that people were concerned with being unable to receive care and believed they needed to rely heavily on family, with extreme thoughts of death.

CONCLUSIONS

Although the urgent threat to public health has been negated by efficacious vaccines and enhanced treatment strategies, there are key lessons from the lived experience of COVID-19 that should be used to prepare for future pandemics and public health emergencies.

A Closer Look at Indirect Causes of Death After Hurricane Maria Using a Semiparametric Model

OBJECTIVE

The coronavirus disease 2019 (COVID-19) pandemic as well as other recent natural emergencies have put the spotlight on emergency planning. One important aspect is that natural disasters or emergencies often lead to indirect deaths, and studying the behavior of indirect deaths during emergencies can guide emergency planning. While many studies have suggested many indirect deaths in Puerto Rico due to Hurricane Maria; the specific causes of these deaths have not been carefully studied.

METHODS

In this study, we use a semiparametric model and mortality data to evaluate cause of death trends. Our model adjusts for cause of death effect potentially varying over time while also inferring on how long excess deaths occurred.

RESULTS

From September 2017 to March 2018, after adjusting for intra-annual variability and population displacement, we find evidence of significant excess deaths due to Alzheimer's/Parkinson, heart disease, sepsis, diabetes, renal failure, and pneumonia and influenza.

CONCLUSIONS

In contrast, for the same time period we find no evidence of significant excess deaths due to cancer, hypertension, respiratory diseases, cerebrovascular disease, suicide, homicide, falling accidents, and traffic accidents.

Risk Factors for Postdischarge Major Thromboembolism and Mortality in Hospitalized Patients with COVID-19 with Cardiovascular Comorbidities: Insights from the CORE-19 Registry

BACKGROUND

 Coronavirus disease 2019 (COVID-19) is associated with venous and arterial thromboembolism (VTE and ATE) and all-cause mortality (ACM) in hospitalized patients. High-quality data are needed on postdischarge outcomes in patients with cardiovascular disease.

OBJECTIVES

 To analyze outcomes and identify risk factors for ATE, VTE, and ACM in a high-risk subgroup of hospitalized COVID-19 patients with baseline cardiovascular disease.

METHODS

 We investigated postdischarge rates and associated risk factors of ATE, VTE, and ACM in 608 hospitalized COVID-19 patients with coronary artery disease, carotid artery stenosis (CAS), peripheral arterial disease (PAD), or ischemic stroke.

RESULTS

 Through 90 days postdischarge, outcome rates were: ATE 27.3% (10.2% myocardial infarction, 10.1% ischemic stroke, 13.2% systemic embolism, 12.7% major adverse limb event); VTE 6.9% (4.1% deep vein thrombosis, 3.6% pulmonary embolism); composite of ATE, VTE, or ACM 35.2% (214/608). Multivariate analysis showed significant association between this composite endpoint and age >75 years (odds ratio [OR]: 1.90, 95% confidence interval [CI]: 1.22-2.94, p = 0.004), PAD (OR: 3.23, 95% CI: 1.80-5.81, p ≤ 0.0001), CAS (OR: 1.74, 95% CI: 1.11-2.75, p = 0.017), congestive heart failure (CHF) (OR: 1.84, 95% CI: 1.02-3.35, p = 0.044), previous VTE (OR: 3.08, 95% CI: 1.75-5.42, p < 0.0001), and intensive care unit (ICU) admission (OR: 2.93, 95% CI: 1.81-4.75, p < 0.0001).

CONCLUSION

 COVID-19 inpatients with cardiovascular disease experience high rates of ATE, VTE, or ACM through 90 days postdischarge. Age >75 years, PAD, CAS, CHF, previous VTE, and ICU admission are independent risk factors.

Hyperparameter optimization for cardiovascular disease data-driven prognostic system

Prediction and diagnosis of cardiovascular diseases (CVDs) based, among other things, on medical examinations and patient symptoms are the biggest challenges in medicine. About 17.9 million people die from CVDs annually, accounting for 31% of all deaths worldwide. With a timely prognosis and thorough consideration of the patient's medical history and lifestyle, it is possible to predict CVDs and take preventive measures to eliminate or control this life-threatening disease. In this study, we used various patient datasets from a major hospital in the United States as prognostic factors for CVD. The data was obtained by monitoring a total of 918 patients whose criteria for adults were 28-77 years old. In this study, we present a data mining modeling approach to analyze the performance, classification accuracy and number of clusters on Cardiovascular Disease Prognostic datasets in unsupervised machine learning (ML) using the Orange data mining software. Various techniques are then used to classify the model parameters, such as k-nearest neighbors, support vector machine, random forest, artificial neural network (ANN), naïve bayes, logistic regression, stochastic gradient descent (SGD), and AdaBoost. To determine the number of clusters, various unsupervised ML clustering methods were used, such as k-means, hierarchical, and density-based spatial clustering of applications with noise clustering. The results showed that the best model performance analysis and classification accuracy were SGD and ANN, both of which had a high score of 0.900 on Cardiovascular Disease Prognostic datasets. Based on the results of most clustering methods, such as k-means and hierarchical clustering, Cardiovascular Disease Prognostic datasets can be divided into two clusters. The prognostic accuracy of CVD depends on the accuracy of the proposed model in determining the diagnostic model. The more accurate the model, the better it can predict which patients are at risk for CVD.

Understanding the impacts of the COVID-19 pandemic on the care experiences of people with mental-physical multimorbidity: protocol for a mixed methods study

BACKGROUND

Primary care and other health services have been disrupted during the COVID-19 pandemic, yet the consequences of these service disruptions on patients' care experiences remain largely unstudied. People with mental-physical multimorbidity are vulnerable to the effects of the pandemic, and to sudden service disruptions. It is thus essential to better understand how their care experiences have been impacted by the current pandemic. This study aims to improve understanding of the care experiences of people with mental-physical multimorbidity during the pandemic and identify strategies to enhance these experiences.

METHODS

We will conduct a mixed-methods study with multi-phase approach involving four distinct phases. Phase 1 will be a qualitative descriptive study in which we interview individuals with mental-physical multimorbidity and health professionals in order to explore the impacts of the pandemic on care experiences, as well as their perspectives on how care can be improved. The results of this phase will inform the design of study phases 2 and 3. Phase 2 will involve journey mapping exercises with a sub-group of participants with mental-physical multimorbidity to visually map out their care interactions and experiences over time and the critical moments that shaped their experiences. Phase 3 will involve an online, cross-sectional survey of care experiences administered to a larger group of people with mental disorders and/or chronic physical conditions. In phase 4, deliberative dialogues will be held with key partners to discuss and plan strategies for improving the delivery of care to people with mental-physical multimorbidity. Pre-dialogue workshops will enable us to synthesize an prepare the results from the previous three study phases.

DISCUSSION

Our study results will generate much needed evidence of the positive and negative impacts of the COVID-19 pandemic on the care experiences of people with mental-physical multimorbidity and shed light on strategies that could improve care quality and experiences.

[S1 guidelines for the management of postviral conditions using the example of post-COVID-19]

These S1 guidelines are an updated and expanded version of the S1 guidelines on long COVID differential diagnostic and management strategies. They summarize the state of knowledge on postviral conditions like long/post COVID at the time of writing. Due to the dynamic nature of knowledge development, they are intended to be "living guidelines". The focus is on practical applicability at the level of primary care, which is understood to be the appropriate place for initial access and for primary care and treatment. The guidelines provide recommendations on the course of treatment, differential diagnostics of the most common symptoms that can result from infections like with SARS-CoV-2, treatment options, patient management and care, reintegration and rehabilitation. The guidelines have been developed through an interdisciplinary and interprofessional process and provide recommendations on interfaces and possibilities for collaboration.

Trends in major adverse cardiac events and healthcare utilization during the COVID-19 pandemic in Alberta, Canada

Background

Atherosclerotic cardiovascular disease (ASCVD) is a leading cause of morbidity and mortality in Canada. The COVID-19 pandemic altered the usual care of ambulatory and acute cardiac patients. This study aimed to describe ASCVD-related clinical outcomes and healthcare resource utilization (HCRU) patterns during the coronavirus disease 2019 (COVID-19) pandemic in Alberta, Canada, relative to the three preceding years.

Methods

A repeated cross-sectional study design was conducted over three-month periods using administrative health data between March 15, 2017, and March 14, 2021. ASCVD-related clinical outcomes included major adverse cardiovascular events (MACE) endpoints. HCRU was assessed through general practitioner and other healthcare professional visits (including telehealth claims) for ASCVD events, emergency department visits, ASCVD diagnostic imaging tests, laboratory tests, and hospital length of stay.

Results

Relative to the control year period (March to June 2019) ASCVD-related events (i.e., hospitalizations, emergency department (ED) visits and physician office visits) declined by 23% during the three-months COVID-19 period (March to June 2020). Acute declines were not sustained following June 2020. In contrast, in-patient mortality rates involving a primary MACE endpoint increased from March to June 2020 COVID-19 period.

Conclusions

This study demonstrates the COVID-19 pandemic and corresponding public health restrictions impacted ASCVD-related care. While many clinical outcomes returned to pre-pandemic levels at the end of the observation period, our results suggest that patients' HCRU declined, which could lead to further CV events and mortality. Understanding the impact of COVID-19 restrictions on ASCVD-related care may help improve healthcare resiliency.

Epidemiological Features and Outcomes of COVID-19 in Patients With and Without Cardiovascular Disease

BACKGROUND

Cardiovascular diseases (CVDs) are known as an important group of risk factor for progression of the Coronavirus-19 disease (COVID-19). The present study compared epidemiological features and outcomes in COVID-19 patients with CVDs versus those without CVDs.

METHODS

This is a retrospective study performed on 1497 patients with CVDs and 26926 patients without CVDs, all of whom were confirmed to have COVID-19. All clinical signs and comorbidities were investigated in the subjects. Mann-Whitney U test and Pearson's Chi-square test were applied to compare mortality between the groups. Logistic regression was used to identify the predictors of mortality among patients.

RESULTS

The mean age of COVID-19 patients with underlying CVD was 60 years. Totally, about 5.3% of the individuals under study had CVD. Also, 21.6% of all deaths occurred in COVID-19 patients with CVD. Cough, fever, shortness of breath, muscle pain, and underlying diseases such as diabetes, hypertension, chronic liver and kidney disease, chronic lung disease, and immunodeficiency were significantly higher in patients with CVD than those without CVDs. The odds of death in COVID-19 patients were 1.9 times higher with underlying CVD, 2.1 times with diabetes, 3.4 times with hypertension, 1.9 times with immunodeficiency, and 2.3 times with chronic liver and kidney disease.

CONCLUSION

CVDs are a serious threat to COVID-19 patients because they increase mortality among these patients. As a result, preventive and therapeutic strategies must be developed for these vulnerable groups, who will be prone to higher mortality.

Roles of inflammasomes in viral myocarditis

Viral myocarditis (VMC), characterized by viral infection-induced inflammation, is a life-threatening disease associated with dilated cardiomyopathy or heart failure. Innate immunity plays a crucial role in the progression of inflammation, in which inflammasomes provide a platform for the secretion of cytokines and mediate pyroptosis. Inflammasomes are rising stars gaining increasing attention. The nucleotide oligomerization domain-, leucine-rich repeat-, and pyrin domain-containing protein 3 (NLRP3) inflammasome, the caspase recruitment domain-containing protein 8 (CARD8) inflammasome, and the caspase-11 inflammasome are three inflammasomes that were reported to affect the process and prognosis of VMC. These inflammasomes can be activated by a wide range of cellular events. Accumulating evidence has suggested that inflammasomes are involved in different stages of VMC, including the trigger and progression of myocardial injury and remodeling after infection. In this review, we summarized the pathways involving inflammasomes in VMC and discussed the potential therapies targeting inflammasomes and related pathways.

COVID-19 and Cardiac Implications-Still a Mystery in Clinical Practice

Although initially the evolution of Coronavirus disease 2019 (COVID-19) seemed less severe in pediatric patients, in the three years since the beginning of the pandemics, several severe cases have been described, pediatric inflammatory multisystem syndrome (PIMS) has been defined, pathogenesis is being continuously studied, and many aspects regarding the long-term evolution and multi-organ damage are still unexplained. Cardiac injuries in COVID-19 represent most-likely the second cause of mortality associated with the infection. A wide-spectrum of cardiac abnormalities were reported to be associated with COVID-19 in children including ventricular dysfunction, acute myocardial dysfunction, arrhythmias, conduction abnormalities, coronary artery dilation or aneurysms, and less common pericarditis and valvulitis. Risk factors for severe COVID-19 in children should be identified, laboratory tests and imaging techniques should be performed to reveal cardiac injury as soon as possible. The aim of this review was to highlight the great value of repeated cardiological monitoring in patients with COVID-19, underlining also the peculiarities in terms of pediatric population. This review is looking for answers on questions like 'Why do some, but not all, patients with COVID-19 develop cardiac injury or severe hyperinflammatory status?', 'Which factors are involved in triggering COVID-19 associated cardiac injury?', 'What are the mechanisms involved in the etiology of cardiac injury?', 'Is there a clear relationship between hyperinflammation and cardiac injury?', 'Is hyperinflammatory status the pre-stage of cardiac injury in COVID-19 patients?' which still lack clear answers. The understanding of mechanisms involved in the development of COVID-19 associated cardiac injury might shed light on all the above-mentioned mysteries and might increase the likelihood of favorable evolution even in severe cases.

Bibliometric analysis of the use of artificial intelligence in COVID-19 based on scientific studies

Background and Aims

One such strategy is citation analysis used by researchers for research planning an article referred to by another article receives a "citation." By using bibliometric analysis, the development of research areas and authors' influence can be investigated. The current study aimed to identify and analyze the characteristics of 100 highly cited articles on the use of artificial intelligence concerning COVID-19.

Methods

On July 27, 2022, this database was searched using the keywords "artificial intelligence" and "COVID-19" in the topic. After extensive searching, all retrieved articles were sorted by the number of citations, and 100 highly cited articles were included based on the number of citations. The following data were extracted: year of publication, type of study, name of journal, country, number of citations, language, and keywords.

Results

The average number of citations for 100 highly cited articles was 138.54. The top three cited articles with 745, 596, and 549 citations. The top 100 articles were all in English and were published in 2020 and 2021. China was the most prolific country with 19 articles, followed by the United States with 15 articles and India with 10 articles.

Conclusion

The current bibliometric analysis demonstrated the significant growth of the use of artificial intelligence for COVID-19. Using these results, research priorities are more clearly defined, and researchers can focus on hot topics.

Role of OAS gene family in COVID-19 induced heart failure

BACKGROUND

COVID-19, the current global pandemic caused by SARS-CoV-2 infection, can damage the heart and lead to heart failure (HF) and even cardiac death. The 2',5'-oligoadenylate synthetase (OAS) gene family encode interferon (IFN)-induced antiviral proteins which is associated with the antiviral immune responses of COVID-19. While the potential association of OAS gene family with cardiac injury and failure in COVID-19 has not been determined.

METHODS

The expression levels and biological functions of OAS gene family in SARS-CoV-2 infected cardiomyocytes dataset (GSE150392) and HF dataset (GSE120852) were determined by comprehensive bioinformatic analysis and experimental validation. The associated microRNAs (miRNAs) were explored from Targetscan and GSE104150. The potential OAS gene family-regulatory chemicals or ingredients were predicted using Comparative Toxicogenomics Database (CTD) and SymMap database.

RESULTS

The OAS genes were highly expressed in both SARS-CoV-2 infected cardiomyocytes and failing hearts. The differentially expressed genes (DEGs) in the two datasets were enriched in both cardiovascular disease and COVID-19 related pathways. The miRNAs-target analysis indicated that 10 miRNAs could increase the expression of OAS genes. A variety of chemicals or ingredients were predicted regulating the expression of OAS gene family especially estradiol.

CONCLUSION

OAS gene family is an important mediator of HF in COVID-19 and may serve as a potential therapeutic target for cardiac injury and HF in COVID-19.

Arterial Hypertension and Severe COVID-19 in Hospitalized Patients: Data from a Cohort Study

Aim. To assess the association  of hypertension  with the severe forms and fatal outcomes of Coronavirus disease 2019 (COVID-19).

Material and Methods. This retrospective  cohort study involved adult patients (≥18 years old),  admitted to the University  hospital №4 of Sechenov University (Moscow, Russia) between 08 April 2020 and 19 November 2020 with clinically diagnosed or laboratory-confirmed COVID-19. The cohort included 1637 patients. The primary outcome was all-cause in-hospital mortality. The secondary outcomes included intensive care unit admission (ICU) and invasive ventilation. Multiple logistic regression was performed to assess the independent association  between risk factors and endpoints.

Results. A total of 1637 patients were included in the study. 51.80% (n=848) of the subjects were males. The median age was 59.0 (48.0; 70.0) years and 55.90% (n=915) had pre-existing diagnosis of hypertension. Patients with hypertension  had significantly more severe lung injury based on chest CT scan findings  as well as lower oxygen saturation  (SрO2). More of them were admitted to ICU  and  placed  on invasive  ventilation.  The hypertension  group  also  had  higher  mortality.  Age,  hypertension, glucose, C-reactive protein and decreased platelet count were independently associated with mortality, hypertension  having the strongest association (OR 1.827, 95% CI 1.174-2.846, p=0.008). Age,  hypertension, neutrophil count, platelet count, glucose, and CRP were independently associated  with ICU  admission, with hypertension  having  the strongest  association  (OR  1.595, 95% CI 1.178-2.158, p=0.002). Age, hypertension, glucose, CRP and decreased platelet count were independently associated with invasive ventilation, with hypertension having the strongest association  (OR  1.703, 95% CI 1.151-2.519, p=0.008).Based on the multiple logistic regression models, odds of death, ICU admission, and invasive ventilation were higher in the hypertension  group as compared  to the group without hypertension.

Conclusion. Hypertension can be an independent predictor of severe COVID-19 and adverse outcomes, namely death, ICU admission, and invasive ventilation in hospitalized  patients.

Increased national mortality in acute myocardial infarction hospitalization during the COVID-19 pandemic

This retrospective study describes the effect of the COVID-19 pandemic on epidemiologic trends and highlights disparities in outcomes among acute myocardial infarction (AMI) hospitalizations. The National Inpatient Sample database from 2016 to 2020 was searched for hospitalizations of adult patients with AMI as a principal diagnosis using Clinical Classifications Software Refined codes. The admission rate for each calendar year was obtained as admission per 1000 adults hospitalized. The primary outcome was a comparison of inpatient mortality, and the secondary outcomes were the length of hospital stay and total hospital charge between prepandemic and pandemic years. During the pandemic (2020), the admission rate for AMI was 31.1 admissions per 1000 adults hospitalized compared to 33.4 admissions in 2019 (prepandemic) (P  < 0.001). When compared to the prepandemic admissions, those admitted during the pandemic had a lower mean age (66.5 ± 13.2 vs 66.9 ± 13.4, P  < 0.001), with more women (36.3% vs 37.3%, P  < 0.001). The inpatient mortality during the pandemic was 5.0% compared to 4.5% in 2019 (P  < 0.001). Mortality increased 12.0% in women vs 9.5% in men, 13.2% in Blacks vs 8.9% in Whites, and 6.5% in low-income vs 4.3% in high-income household hospitalizations. In conclusion, our study showed a statistically significant reduction in AMI admission rates during the pandemic and an increase in inpatient mortality. There were significant disparities in the increase in mortality across sociodemographic groups.

The acute and chronic implications of the COVID-19 virus on the cardiovascular system in adults: A systematic review

Despite coronavirus disease 2019 (COVID-19) primarily being identified as a respiratory illness, some patients who seemingly recovered from initial infection, developed chronic multi-system complications such as cardiovascular (CV), pulmonary and neurological issues leading to multiple organ injuries. However, to date, there is a dearth of understanding of the acute and chronic implications of a COVID-19 infection on the CV system in adults. A systematic review of the literature was conducted according to PRISMA guidelines and prospectively registered via Prospero (ID: CRD42022360444). The MEDLINE Ovid, Cochrane Library and PubMed databases were searched from inception to August 2022. The search strategy keywords and MeSH terms used included: 1) COVID; 2) coronavirus; 3) long COVID; 4) cardiovascular; and 5) cardiovascular disease. Reference lists of all relevant systematic reviews identified were searched for additional studies. A total of 11,332 records were retrieved from database searches, of which 310 records were duplicates. A further 9887 were eliminated following screening of titles and abstracts. After full-text screening of 1135 articles, 9 manuscripts were included for review. The evidence of CV implications post-COVID-19 infection is clear, and this must be addressed with appropriate management strategies that recognise the acute and chronic nature of cardiac injury in COVID-19 patients. Efficacious management strategies will be needed to address long standing issues and morbidity.

COVID-19 and Pulmonary Embolism Outcomes among Hospitalized Patients in the United States: A Propensity-Matched Analysis of National Inpatient Sample

Venous thromboembolism, in particular, pulmonary embolism (PE), is a significant contributor to the morbidity and mortality associated with COVID-19. In this study, we utilized the National Inpatient Sample (NIS) database 2020 to evaluate and compare clinical outcomes in patients with COVID-19 with and without PE. Our sample includes 1,659,040 patients hospitalized with COVID-19 pneumonia between January 2020 and December 2020. We performed propensity-matched analysis for patient characteristics and in-hospital outcomes, including the patient’s age, race, sex, insurance status, median income, length of stay, mortality, hospitalization cost, comorbidities, mechanical ventilation, and vasopressor support. Patients with COVID-19 with PE had a higher need for mechanical ventilation (25.7% vs. 15.6%, adjusted odds ratio 1.4, 95% CI 1.4−1.5, p < 0.001), the vasopressor requirement (5.4% vs. 2.6%, adjusted OR 1.6, 95% CI 1.4−1.8, p < 0.001), longer hospital stays (10.8 vs. 7.9 days, p < 0.001), and overall higher in-hospital mortality (19.1 vs. 13.9%, adjusted OR of 1.3, 95% CI 1.1−1.5, p < 0.001). This study highlights the need for more aggressive management of PE in COVID-19-positive patients with the aim to improve early diagnosis and treatment to reduce morbidity, mortality, and healthcare costs seen in the synchronous COVID-19 and PE-positive patients.

[German S1 Guideline Long-/Post-COVID]

The German Society of Pneumology initiated 2021 the AWMF S1 guideline Long COVID/Post-COVID. In a broad interdisciplinary approach, this S1 guideline was designed based on the current state of knowledge.The clinical recommendations describe current Long COVID/Post-COVID symptoms, diagnostic approaches, and therapies.In addition to the general and consensus introduction, a subject-specific approach was taken to summarize the current state of knowledge.The guideline has an explicit practical claim and will be developed and adapted by the author team based on the current increase in knowledge.

Endothelial Dysfunction in COVID-19: Potential Mechanisms and Possible Therapeutic Options

SARS-CoV-2, a novel coronavirus found in Wuhan (China) at the end of 2019, is the etiological agent of the current pandemic that is a heterogeneous disease, named coronavirus disease 2019 (COVID-19). SARS-CoV-2 affects primarily the lungs, but it can induce multi-organ involvement such as acute myocardial injury, myocarditis, thromboembolic eventsandrenal failure. Hypertension, chronic kidney disease, diabetes mellitus and obesity increase the risk of severe complications of COVID-19. There is no certain explanation for this systemic COVID-19 involvement, but it could be related to endothelial dysfunction, due to direct (endothelial cells are infected by the virus) and indirect damage (systemic inflammation) factors. Angiotensin-converting enzyme 2 (ACE2), expressed in human endothelium, has a fundamental role in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. In fact, ACE2 is used as a receptor by SARS-CoV-2, leading to the downregulation of these receptors on endothelial cells; once inside, this virus reduces the integrity of endothelial tissue, with exposure of prothrombotic molecules, platelet adhesion, activation of coagulation cascades and, consequently, vascular damage. Systemic microangiopathy and thromboembolism can lead to multi-organ failure with an elevated risk of death. Considering the crucial role of the immunological response and endothelial damage in developing the severe form of COVID-19, in this review, we will attempt to clarify the underlying pathophysiological mechanisms.

Trends and outcomes of percutaneous coronary intervention during the COVID-19 pandemic in Michigan

Background

The COVID-19 pandemic has severely impacted healthcare delivery and patient outcomes globally.

Aims

We aimed to evaluate the influence of the COVID-19 pandemic on the temporal trends and outcomes of patients undergoing percutaneous coronary intervention (PCI) in Michigan.

Methods

We compared all patients undergoing PCI in the BMC2 Registry between March and December 2020 (“pandemic cohort”) with those undergoing PCI between March and December 2019 (“pre-pandemic cohort”). A risk-adjusted analysis of in-hospital outcomes was performed between the pre-pandemic and pandemic cohort. A subgroup analysis was performed comparing COVID-19 positive vs. negative patients during the pandemic.

Results

There was a 15.2% reduction in overall PCI volume from the pre-pandemic (n = 25,737) to the pandemic cohort (n = 21,822), which was more pronounced for stable angina and non-ST-elevation acute coronary syndromes (ACS) presentations, and between February and May 2020. Patients in the two cohorts had similar clinical and procedural characteristics. Monthly mortality rates for primary PCI were generally higher in the pandemic period. There were no significant system delays in care between the cohorts. Risk-adjusted mortality was higher in the pandemic cohort (aOR 1.26, 95% CI 1.07–1.47, p = 0.005), a finding that was only partially explained by worse outcomes in COVID-19 patients and was more pronounced in subjects with ACS. During the pandemic, COVID-19 positive patients suffered higher risk-adjusted mortality (aOR 5.69, 95% CI 2.54–12.74, p<0.001) compared with COVID negative patients.

Conclusions

During the COVID-19 pandemic, we observed a reduction in PCI volumes and higher risk-adjusted mortality. COVID-19 positive patients experienced significantly worse outcomes.

[Pericardial and myocardial involvement after SARS-CoV-2 infection: a cross-sectional descriptive study in healthcare workers]

Introduction and objectives

The cardiac sequelae of SARS-CoV-2 infection are still poorly documented. We conducted a cross-sectional study in healthcare workers to report evidence of pericardial and myocardial involvement after SARS-CoV-2 infection.

Methods

We studied 139 healthcare workers with confirmed past SARS-CoV-2 infection. Participants underwent clinical assessment, electrocardiography, and laboratory tests, including immune cell profiling and cardiac magnetic resonance (CMR). Clinically suspected pericarditis was diagnosed when classic criteria were present and clinically suspected myocarditis was based on the combination of at least 2 CMR criteria.

Results

Median age was 52 (41-57) years, 71.9% were women, and 16.5% were previously hospitalized for COVID-19 pneumonia. On examination (10.4 [9.3-11.0] weeks after infection-like symptoms), participants showed hemodynamic stability. Chest pain, dyspnea or palpitations were present in 41.7% participants, electrocardiographic abnormalities in 49.6%, NT-proBNP elevation in 7.9%, troponin in 0.7%, and CMR abnormalities in 60.4%. A total of 30.9% participants met criteria for either pericarditis and/or myocarditis: isolated pericarditis was diagnosed in 5.8%, myopericarditis in 7.9%, and isolated myocarditis in 17.3%. Most participants (73.2%) showed altered immune cell counts in blood, particularly decreased eosinophil (27.3%; P < .001) and increased cytotoxic T cell numbers (17.3%; P < .001). Clinically suspected pericarditis was associated (P < .005) with particularly elevated cytotoxic T cells and decreased eosinophil counts, while participants diagnosed with clinically suspected myopericarditis or myocarditis had lower (P < .05) neutrophil counts, natural killer-cells, and plasma cells.

Conclusions

Pericardial and myocardial involvement with clinical stability are frequent after SARS-CoV-2 infection and are associated with specific immune cell profiles.Full English text available from:www.revespcardiol.org/en.

Pericardial and myocardial involvement after SARS-CoV-2 infection: a cross-sectional descriptive study in healthcare workers

INTRODUCTION AND OBJECTIVES

The cardiac sequelae of SARS-CoV-2 infection are still poorly documented. We conducted a cross-sectional study in healthcare workers to report evidence of pericardial and myocardial involvement after SARS-CoV-2 infection.

METHODS

We studied 139 healthcare workers with confirmed past SARS-CoV-2 infection. Participants underwent clinical assessment, electrocardiography, and laboratory tests, including immune cell profiling and cardiac magnetic resonance (CMR). Clinically suspected pericarditis was diagnosed when classic criteria were present and clinically suspected myocarditis was based on the combination of at least 2 CMR criteria.

RESULTS

Median age was 52 (41-57) years, 71.9% were women, and 16.5% were previously hospitalized for COVID-19 pneumonia. On examination (10.4 [9.3-11.0] weeks after infection-like symptoms), participants showed hemodynamic stability. Chest pain, dyspnea or palpitations were present in 41.7% participants, electrocardiographic abnormalities in 49.6%, NT-proBNP elevation in 7.9%, troponin in 0.7%, and CMR abnormalities in 60.4%. A total of 30.9% participants met criteria for either pericarditis and/or myocarditis: isolated pericarditis was diagnosed in 5.8%, myopericarditis in 7.9%, and isolated myocarditis in 17.3%. Most participants (73.2%) showed altered immune cell counts in blood, particularly decreased eosinophil (27.3%; P<.001) and increased cytotoxic T cell numbers (17.3%; P <.001). Clinically suspected pericarditis was associated (P <.005) with particularly elevated cytotoxic T cells and decreased eosinophil counts, while participants diagnosed with clinically suspected myopericarditis or myocarditis had lower (P <.05) neutrophil counts, natural killer-cells, and plasma cells.

CONCLUSIONS

Pericardial and myocardial involvement with clinical stability are frequent after SARS-CoV-2 infection and are associated with specific immune cell profiles.

The impact of the COVID-19 pandemic in the healthcare utilization in Korea: Analysis of a nationwide survey

BACKGROUND

COVID-19 has brought changes in daily life and increased the medical burden. This study aims to evaluate the delays in healthcare services and related factors in the general population during the COVID-19 pandemic.

METHODS

We took a nationally representative sample and conducted a mobile phone-based survey. The study was conducted anonymously. Of the 3377 subjects who consented to participate, a total of 2097 finished the survey. The primary outcome was respondents' experiences with delayed (1) health screenings, (2) non-urgent medical visits, (3) medical visits for chronic disease, and (4) emergency visits during the COVID-19 pandemic.

RESULTS

Of 2097 respondents, females, residents of the Seoul metropolitan area, those with private insurance, those without chronic diseases, smokers, and drinkers had higher risk of delays in health screening and non-urgent medical visits after adjustment. Among chronic disease patients, those who were over 60 years old (adjusted odds ratio 0.36, 95% CI 0.14-0.92) showed lower risk of delayed medical visit. Residents of the Seoul metropolitan area, those with private insurance, smokers, and drinkers were all associated with experiencing delayed health screening and non-urgent medical visits had higher risk of delays in chronic disease visits and emergent medical visits.

CONCLUSIONS

Delayed access to healthcare services is associated with poor outcomes and may cause different complications. Efforts are needed to prevent delays in medical use due to infectious diseases such as COVID-19. Considering the possibility of the emergence of infectious diseases, various countermeasures are needed to prevent delays in medical visit.

[Rehabilitation with coronavirus disease with SARS-CoV-2 (COVID-19)]

The Coronavirus disease with SARS-CoV-2 viral infection (COVID-19) and its diverse courses of disease from mild to critical illness frequently is not only an acute disease, but will - in a proportion of those affected - lead to organ structure and body function deficits that still exist or become apparent after the acute stage of disease. When clinically relevant symptoms or functional deficits (impairments) are documented more than four weeks after COVID-19 onset, the syndrome is called "Long-COVID", from 12 weeks after onset onwards "Post-COVID".In such cases and when everyday life functioning and return to work are affected by persisting deficits specialized rehabilitation treatment is indicated. An individual medical, frequently multi-professional diagnostic evaluation is mandatory in that situation: For adequate treatment, it is important to identify and objectify the individually underlying health conditions based on knowledge about the diverse potential consequences of COVID-19, to assess type and severity of functional consequences (impairments, activity limitations, and restrictions of participation) of Long-/Post-COVID individually, and then to decide on the treatment necessities and plans. With regard to rehabilitation, need and decision for either pulmonary, neurological, cardiac, or psychosomatic rehabilitation depends on the individual medical presentation.

[Rehabilitation with coronavirus disease with SARS-CoV-2 (COVID-19)]

The Coronavirus disease with SARS-CoV-2 viral infection (COVID-19) and its diverse courses of disease from mild to critical illness frequently is not only an acute disease, but will - in a proportion of those affected - lead to organ structure and body function deficits that still exist or become apparent after the acute stage of disease. When clinically relevant symptoms or functional deficits (impairments) are documented more than four weeks after COVID-19 onset, the syndrome is called "Long-COVID", from 12 weeks after onset onwards "Post-COVID".In such cases and when everyday life functioning or return to work are affected by persisting deficits specialized rehabilitation treatment is indicated. An individual medical, frequently multi-professional diagnostic evaluation is mandatory in that situation: For adequate treatment, it is important to identify and objectify the individually underlying health conditions based on knowledge about the diverse potential consequences of COVID-19, to assess type and severity of functional consequences (impairments, activity limitations, and restrictions of participation) of Long-/Post-COVID individually, and then to decide on the treatment necessities and plans. With regard to rehabilitation, need and decision for either pulmonary, neurological, cardiac, or psychosomatic rehabilitation depends on the individual medical presentation.

Myocardial Ischemia in Patients with COVID-19 Infection: Between Pathophysiological Mechanisms and Electrocardiographic Findings

Given the possible pathophysiological links between myocardial ischemia and SARS-CoV-2 infection, several studies have focused attention on acute coronary syndromes in order to improve patients’ morbidity and mortality. Understanding the pathophysiological aspects of myocardial ischemia in patients infected with SARS-CoV-2 can open a broad perspective on the proper management for each patient. The electrocardiogram (ECG) remains the easiest assessment of cardiac involvement in COVID-19 patients, due to its non-invasive profile, accessibility, low cost, and lack of radiation. The ECG changes provide insight into the patient’s prognosis, indicating either the worsening of an underlying cardiac illnesses or the acute direct injury by the virus. This indicates that the ECG is an important prognostic tool that can affect the outcome of COVID-19 patients, which important to correlate its aspects with the clinical characteristics and patient’s medical history. The ECG changes in myocardial ischemia include a broad spectrum in patients with COVID-19 with different cases reported of ST-segment elevation, ST-segment depression, and T wave inversion, which are associated with severe COVID-19 disease.

Cardiac biomarkers and mortality in COVID-19 infection: A review

Lots of meta-analysis emphasize that a great number of hospitalized patients with moderate and severe forms of COVID-19 developed acute myocardial damage, defined as an increase of cardiac biomarkers, such N-terminal pro-B-type natriuretic peptide (NT-pro-BNP), creatine kinase-myocardial band (CK-MB) and of all type of troponins. The highest mortality rate is related with progressively increasing biomarkers levels and with a history of cardiovascular disease. In fact, the biomarkers dosage should be considered as a prognostic marker in all patients with COVID-19 disease at admission, during hospitalization and in the case of clinical deterioration. The purpose of this review is to evaluate cardiovascular prognostic factors in COVID-19 disease throughout the analysis of cardiac biomarkers to early identify the most serious patients and to optimize their outcomes.

Impact of the COVID-19 pandemic on in-hospital mortality in cardiovascular disease: a meta-analysis

AIMS

The COVID-19 pandemic has resulted in excess mortality due to both COVID-19 directly and other conditions, including cardiovascular (CV) disease. We aimed to explore the excess in-hospital mortality, unrelated to COVID-19 infection, across a range of CV diseases.

METHODS AND RESULTS

A systematic search was performed for studies investigating in-hospital mortality among patients admitted with CV disease without SARS-CoV-2 infection compared with a period outside the COVID-19 pandemic. Fifteen studies on 27 421 patients with CV disease were included in the analysis. The average in-hospital mortality rate was 10.4% (n = 974) in the COVID-19 group and 5.7% (n = 1026) in the comparator group. Compared with periods outside the COVID-19 pandemic, the pooled risk ratio (RR) demonstrated increased in-hospital mortality by 62% during COVID-19 [95% confidence interval (CI) 1.20-2.20, P = 0.002]. Studies with a decline in admission rate >50% during the COVID-19 pandemic observed the greatest increase in mortality compared with those with <50% reduction [RR 2.74 (95% CI 2.43-3.10) vs. 1.21 (95% CI 1.07-1.37), P < 0.001]. The observed increased mortality was consistent across different CV conditions (P = 0.74 for interaction).

CONCLUSIONS

In-hospital mortality among patients admitted with CV diseases was increased relative to periods outside the pandemic, independent of co-infection with COVID-19. This effect was larger in studies with the biggest decline in admission rates, suggesting a sicker cohort of patients in this period. However, studies were generally poorly conducted, and there is a need for further well-designed studies to establish the full extent of mortality not directly related to COVID-19 infection.

The Effects of Severe Acute Respiratory Syndrome Coronavirus 2 on the Reported Mental Health Symptoms of Nonprofessional Carers: An Analysis Across Europe

OBJECTIVES

This study tries to analyze how the crisis generated by severe acute respiratory syndrome coronavirus 2 has affected the reported mental health symptoms of informal caregivers in different European countries.

METHODS

The Survey of Health, Ageing and Retirement in Europe-COVID-19 was used, collecting information from the beginning of June 2020 to August 2020 about individuals' state of health and the care they received. Several probit regression models were used to analyze the differences in the probability of (1) being sad or depressed, (2) being anxious or nervous, (3) having difficulty sleeping, and (4) feeling lonely, between individuals who provided informal care and individuals who did not. Several subanalyses by geographic area, mortality rates due to coronavirus disease 2019 (COVID-19), and long-term care expenditure were also performed.

RESULTS

Since the outbreak of COVID-19, informal caregivers have had a higher probability of being sad or depressed of 8 percentage points (p.p.), a 7.1 p.p. higher probability of being anxious or nervous, and a 5.9 p.p. higher probability of having difficulty sleeping than non-caregivers. Informal caregivers in Southern Europe have had an 8 p.p. higher probability of being sad or depressed than non-caregivers. In Eastern Europe, this difference in probability reaches 9.7 p.p. Finally, in countries with higher mortality rates due to COVID-19, there have been greater differences in terms of being sad or depressed between caregivers and non-caregivers, regardless of expenditure on long-term care.

CONCLUSIONS

Since the outbreak of COVID-19, informal caregivers in Europe have had a higher probability of reporting mental health symptoms than non-caregivers.

Possibility as role of ginseng and ginsenosides on inhibiting the heart disease of COVID-19: A systematic review

Coronavirus has been spreading rapidly around the world since it broke out in China in 2019. Respiratory diseases caused by coronavirus infection cause various diseases ranging from asymptomatic subclinical infections to severe pneumonia and cardiovascular complications, leading to death. In this regard, natural products are being studied to prevent various diseases caused by COVID-19. In current review, we would like to present mechanisms related to the inhibition of heart disease in ginseng and ginsenoside against SARS-CoV-2. In many previous studies, ginseng and ginsenoside are known to have antioxidant, blood flow improvement, improvement of vascular and heart function, blood pressure control, suppression of myocardial infarction and heart failure, and antiarrhythmia. Therefore, ginseng and ginsenoside have a possibility to suppress cardiovascular complications caused by COVID-19. Many of research provide evidence for ginseng and ginsenoside as treatments for the risk of cardiovascular complications. However, in this review, more specific contents on the proposition of the efficacy of ginseng and ginsenoside for COVID-19 should be presented. Therefore, we hope that researches to reduce cardiovascular complications of ginseng and ginsenoside for COVID-19 should be presented to reduce mortality for COVID-19.

Reconsidering treatment guidelines for acute myocardial infarction during the COVID-19 pandemic

Background

COVID-19 affects healthcare resource allocation, which could lead to treatment delay and poor outcomes in patients with acute myocardial infarction (AMI). We assessed the impact of the COVID-19 pandemic on AMI outcomes.

Methods

We compared outcomes of patients admitted for acute ST-elevation MI (STEMI) and non-STEMI (NSTEMI) during a non-COVID-19 pandemic period (January–February 2019; Group 1, n = 254) and a COVID-19 pandemic period (January–February 2020; Group 2, n = 124).

Results

For STEMI patients, the median of first medical contact (FMC) time, door-to-balloon time, and total myocardial ischemia time were significantly longer in Group 2 patients (all p < 0.05). Primary percutaneous intervention was performed significantly more often in Group 1 patients than in Group 2 patients, whereas thrombolytic therapy was used significantly more often in Group 2 patients than in Group 1 patients (all p < 0.05). However, the rates of and all-cause 30-day mortality and major adverse cardiac event (MACE) were not significantly different in the two periods (all p > 0.05). For NSTEMI patients, Group 2 patients had a higher rate of conservative therapy, a lower rate of reperfusion therapy, and longer FMC times (all p < 0.05). All-cause 30-day mortality and MACE were only higher in NSTEMI patients during the COVID-19 pandemic period (p < 0.001).

Conclusions

COVID-19 pandemic causes treatment delay in AMI patients and potentially leads to poor clinical outcome in NSTEMI patients. Thrombolytic therapy should be initiated without delay for STEMI when coronary intervention is not readily available; for NSTEMI patients, outcomes of invasive reperfusion were better than medical treatment.

Variation in the COVID-19 infection-fatality ratio by age, time, and geography during the pre-vaccine era: a systematic analysis

BACKGROUND

The infection-fatality ratio (IFR) is a metric that quantifies the likelihood of an individual dying once infected with a pathogen. Understanding the determinants of IFR variation for COVID-19, the disease caused by the SARS-CoV-2 virus, has direct implications for mitigation efforts with respect to clinical practice, non-pharmaceutical interventions, and the prioritisation of risk groups for targeted vaccine delivery. The IFR is also a crucial parameter in COVID-19 dynamic transmission models, providing a way to convert a population's mortality rate into an estimate of infections.

METHODS

We estimated age-specific and all-age IFR by matching seroprevalence surveys to total COVID-19 mortality rates in a population. The term total COVID-19 mortality refers to an estimate of the total number of deaths directly attributable to COVID-19. After applying exclusion criteria to 5131 seroprevalence surveys, the IFR analyses were informed by 2073 all-age surveys and 718 age-specific surveys (3012 age-specific observations). When seroprevalence was reported by age group, we split total COVID-19 mortality into corresponding age groups using a Bayesian hierarchical model to characterise the non-linear age pattern of reported deaths for a given location. To remove the impact of vaccines on the estimated IFR age pattern, we excluded age-specific observations of seroprevalence and deaths that occurred after vaccines were introduced in a location. We estimated age-specific IFR with a non-linear meta-regression and used the resulting age pattern to standardise all-age IFR observations to the global age distribution. All IFR observations were adjusted for baseline and waning antibody-test sensitivity. We then modelled age-standardised IFR as a function of time, geography, and an ensemble of 100 of the top-performing covariate sets. The covariates included seven clinical predictors (eg, age-standardised obesity prevalence) and two measures of health system performance. Final estimates for 190 countries and territories, as well as subnational locations in 11 countries and territories, were obtained by predicting age-standardised IFR conditional on covariates and reversing the age standardisation.

FINDINGS

We report IFR estimates for April 15, 2020, to January 1, 2021, the period before the introduction of vaccines and widespread evolution of variants. We found substantial heterogeneity in the IFR by age, location, and time. Age-specific IFR estimates form a J shape, with the lowest IFR occurring at age 7 years (0·0023%, 95% uncertainty interval [UI] 0·0015-0·0039) and increasing exponentially through ages 30 years (0·0573%, 0·0418-0·0870), 60 years (1·0035%, 0·7002-1·5727), and 90 years (20·3292%, 14·6888-28·9754). The countries with the highest IFR on July 15, 2020, were Portugal (2·085%, 0·946-4·395), Monaco (1·778%, 1·265-2·915), Japan (1·750%, 1·302-2·690), Spain (1·710%, 0·991-2·718), and Greece (1·637%, 1·155-2·678). All-age IFR varied by a factor of more than 30 among 190 countries and territories. After age standardisation, the countries with the highest IFR on July 15, 2020, were Peru (0·911%, 0·636-1·538), Portugal (0·850%, 0·386-1·793), Oman (0·762%, 0·381-1·399), Spain (0·751%, 0·435-1·193), and Mexico (0·717%, 0·426-1·404). Subnational locations with high IFRs also included hotspots in the UK and southern and eastern states of the USA. Sub-Saharan African countries and Asian countries generally had the lowest all-age and age-standardised IFRs. Population age structure accounted for 74% of logit-scale variation in IFRs estimated for 39 in-sample countries on July 15, 2020. A post-hoc analysis showed that high rates of transmission in the care home population might account for higher IFRs in some locations. Among all countries and territories, we found that the median IFR decreased from 0·466% (interquartile range 0·223-0·840) to 0·314% (0·143-0·551) between April 15, 2020, and Jan 1, 2021.

INTERPRETATION

Estimating the IFR for global populations helps to identify relative vulnerabilities to COVID-19. Information about how IFR varies by age, time, and location informs clinical practice and non-pharmaceutical interventions like physical distancing measures, and underpins vaccine risk stratification. IFR and mortality risk form a J shape with respect to age, which previous research, such as that by Glynn and Moss in 2020, has identified to be a common pattern among infectious diseases. Understanding the experience of a population with COVID-19 mortality requires consideration for local factors; IFRs varied by a factor of more than 30 among 190 countries and territories in this analysis. In particular, the presence of elevated age-standardised IFRs in countries with well resourced health-care systems indicates that factors beyond health-care capacity are important. Potential extenuating circumstances include outbreaks among care home residents, variable burdens of severe cases, and the population prevalence of comorbid conditions that increase the severity of COVID-19 disease. During the pre-vaccine period, the estimated 33% decrease in median IFR over 8 months suggests that treatment for COVID-19 has improved over time. Estimating IFR for the pre-vaccine era provides an important baseline for describing the progression of COVID-19 mortality patterns.

FUNDING

Bill & Melinda Gates Foundation, J Stanton, T Gillespie, and J and E Nordstrom.

Short and Long-Term Impact of COVID-19 Infection on Previous Respiratory Diseases

On March 11, 2020, the World Health Organization declared Coronavirus Disease 2019 (COVID-19) a pandemic. Till now, it affected 452.4 million (Spain, 11.18 million) persons all over the world with a total of 6.04 million of deaths (Spain, 100,992). It is observed that 75% of hospitalized COVID-19 patients have at least one COVID-19 associated comorbidity. It was shown that people with underlying chronic illnesses are more likely to get it and grow seriously ill. Individuals with COVID-19 who have a past medical history of cardiovascular disorder, cancer, obesity, chronic lung disease, diabetes, or neurological disease had the worst prognosis and are more likely to develop acute respiratory distress syndrome or pneumonia. COVID-19 can affect the respiratory system in a variety of ways and across a spectrum of levels of disease severity, depending on a person's immune system, age and comorbidities. Symptoms can range from mild, such as cough, shortness of breath and fever, to critical disease, including respiratory failure, shock and multi-organ system failure. So, COVID-19 infection can cause overall worsening of these previous respiratory diseases, such as asthma, chronic obstructive pulmonary disease (COPD), interstitial lung disease, etc. This review aims to provide information on the impact of the COVID-19 disease on pre-existing lung comorbidities.

[Pathophysiological basis and diagnosis of the cardiovascular system damage caused by coronavirus infection]

This review focuses on the pathogenesis, most common clinical manifestations, and methods for diagnosis of damages to the cardiovascular system in coronavirus infection. The search for studies to be reviewed included publications of Elsevier, PubMed, and Web of Science resources by the key words "COVID-19", "myocarditis", "coronavirus", and "myocardial injury". The clinical presentation of coronavirus infection can include acute heart failure, myocardial injury, arrhythmias, pericarditis, venous thromboembolism, and microcirculatory dysfunction. Since symptoms of this pathology are non-specific, it is important to pay attention to monitoring of clinical laboratory and instrumental indexes for early differential diagnosis of cardiovascular disease. In all cases of parameter deviation from the normal range, cardiovascular complications of COVID-19 should be suspected. Measures should be taken for specifying the occurrence and severity of cardiac and/or vascular injury, and approaches should be developed for comprehensive treatment or prevention of these conditions.

Angiotensin II Type I Receptor (AT1R): The Gate towards COVID-19-Associated Diseases

The binding of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike glycoprotein to its cellular receptor, the angiotensin-converting enzyme 2 (ACE2), causes its downregulation, which subsequently leads to the dysregulation of the renin-angiotensin system (RAS) in favor of the ACE-angiotensin II (Ang II)-angiotensin II type I receptor (AT1R) axis. AT1R has a major role in RAS by being involved in several physiological events including blood pressure control and electrolyte balance. Following SARS-CoV-2 infection, pathogenic episodes generated by the vasoconstriction, proinflammatory, profibrotic, and prooxidative consequences of the Ang II-AT1R axis activation are accompanied by a hyperinflammatory state (cytokine storm) and an acute respiratory distress syndrome (ARDS). AT1R, a member of the G protein-coupled receptor (GPCR) family, modulates Ang II deleterious effects through the activation of multiple downstream signaling pathways, among which are MAP kinases (ERK 1/2, JNK, p38MAPK), receptor tyrosine kinases (PDGF, EGFR, insulin receptor), and nonreceptor tyrosine kinases (Src, JAK/STAT, focal adhesion kinase (FAK)), and nicotinamide adenine dinucleotide phosphate (NADPH) oxidase. COVID-19 is well known for generating respiratory symptoms, but because ACE2 is expressed in various body tissues, several extrapulmonary pathologies are also manifested, including neurologic disorders, vasculature and myocardial complications, kidney injury, gastrointestinal symptoms, hepatic injury, hyperglycemia, and dermatologic complications. Therefore, the development of drugs based on RAS blockers, such as angiotensin II receptor blockers (ARBs), that inhibit the damaging axis of the RAS cascade may become one of the most promising approaches for the treatment of COVID-19 in the near future. We herein review the general features of AT1R, with a special focus on the receptor-mediated activation of the different downstream signaling pathways leading to specific cellular responses. In addition, we provide the latest insights into the roles of AT1R in COVID-19 outcomes in different systems of the human body, as well as the role of ARBs as tentative pharmacological agents to treat COVID-19.

From Biomedical Applications of Alginate towards CVD Implications Linked to COVID-19

In the past year, researchers have focused their attention on developing new strategies for understanding how the coronavirus affects human health and developing novel biomaterials to help patients with cardiovascular disease, which greatly increases the risk of complications from the virus. Natural biopolymers have been investigated, and it has been proven that alginate-based materials have important features. This review presents an overview of alginate-based materials used for developing innovative biomaterial platforms for biomedical applications to mitigate the effects of the coronavirus. As presented in this review, COVID-19 affects the cardiovascular system, not only the lungs. The first part of the review presents an introduction to cardiovascular diseases and describes how they have become an important problem worldwide. In the second part of the review, the origin and unique properties of the alginate biopolymer are presented. Among the properties of alginate, the most important are its biocompatibility, biodegradability, low cost, nontoxicity, unique structure, and interesting features after chemical modification. The third section of the review illustrates some of the functions of alginate in biomedical, pharmaceutical, and drug delivery applications. Researchers are using alginate to develop new devices and materials for repairing heart tissues that have been damaged by the coronavirus. Further, insights regarding how cardiovascular disease affects COVID-19 patients are also discussed. Finally, we conclude the review by presenting a summary of the impacts of COVID-19 on cardiovascular patients, their implications, and several hypothetical alginate-based treatments for infected patients.

County-level estimates of excess mortality associated with COVID-19 in the United States

The COVID-19 pandemic in the U.S. has been largely monitored using death certificates containing reference to COVID-19. However, prior analyses reveal that a significant percentage of excess deaths associated with the pandemic were not directly assigned to COVID-19. In this study, we estimated a generalized linear model of expected mortality based on historical trends in deaths by county of residence between 2011 and 2019. We used the results of the model to generate estimates of excess mortality and excess deaths not assigned to COVID-19 in 2020 for 1470 county sets in the U.S. representing 3138 counties. Across the country, we estimated that 438,386 excess deaths occurred in 2020, among which 87.5% were assigned to COVID-19. Some regions (Mideast, Great Lakes, New England, and Far West) reported the most excess deaths in large central metros, whereas other regions (Southwest, Southeast, Plains, and Rocky Mountains) reported the highest excess mortality in nonmetro areas. The proportion assigned to COVID-19 was lowest in large central metro areas (79.3%). Regionally, the proportion of excess deaths assigned to COVID-19 was lowest in the Southeast (81.6%), Southwest (82.6%), Far West (83.7%), and Rocky Mountains (86.7%). Across the regions, the number of excess deaths exceeded the number of directly assigned COVID-19 deaths in most counties. The exception to this pattern occurred in New England, which reported more directly assigned COVID-19 deaths than excess deaths in metro and nonmetro areas. Many county sets had substantial numbers of excess deaths that were not accounted for in direct COVID-19 death counts. Estimates of excess mortality at the local level can inform the allocation of resources to areas most impacted by the pandemic and contribute to positive behavior feedback loops, such as increases in mask-wearing and vaccine uptake.

Impact of the COVID-19 lockdown on system usage of an innovative care support system and the mood of older adults

BACKGROUND

Older age is a substantial risk factor for serious illness from COVID-19. Moreover, isolation and quarantine are more likely to cause physical, mental and social deprivation in older age. Information and Communication Tools are means to prevent such consequences.

OBJECTIVE

This study aimed therefore to investigate the impact of the COVID-19 lockdown measures on the usage of an innovative technical support system deployed in Austria (AT) and Luxembourg (LU) consisting of several tools that allow independent living in older age.

METHODS

Thirty-nine older adults (11 male; 28 female) with a mean age of 74.3 (SD 7.3) years were included in the study. In total, 18 older people were recruited in AT and 21 in LU. Descriptive statistics were computed, and longitudinal models were fitted for technology use and self-reported mood.

RESULTS

The number of older adults using the system significantly decreased from the time before lockdown (39 [100%]) to during lockdown (26 [67%]) and thereafter (23 [59%]; p < 0.001). Multiple comparisons revealed a significant reduction in the average number of events for calendar and medication tools, but a substantial increase in communication and messaging events. Self-reported well-being declined during the lockdown and increased afterwards back to baseline levels.

CONCLUSION

Communication was the main reason for using the support system. In addition, strategies and interventions are essential to support older adults when using information technology in the prolonged phases of the pandemic to sustain independent living.

CLINICAL TRIAL REGISTRATION

The DAPAS protocol was published at www.researchgate.net. DOI: 10.13140/RG.2.2.24233.34401.

Systemic Inflammation May Induce Cardiac Injury in COVID-19 Patients Including Children and Adolescents Without Underlying Cardiovascular Diseases: A Systematic Review

Coronavirus disease 2019(COVID-19) is an ongoing global pandemic with a daily increasing number of affected individuals and a relatively high mortality rate. COVID-19 patients that develop cardiac injury are at increased risk of a worse clinical course with higher rates of mortality. Increasing amounts of evidence suggest that a system-wide inflammatory response and a cytokine storm mediated type syndrome plays a crucial role in disease progression. This systematic review investigates the possible role of hyperinflammation in inducing cardiac injury as one of the severe complications of COVID-19. A systematic literature search was performed using PubMed, Embase and Scopus databases to identify relevant clinical studies that investigated cardiovascular injury manifestations and reported inflammatory and cardiac biomarkers in COVID-19 patients. Only 29 studies met our inclusion criteria and the majority of these studies demonstrated significantly elevated inflammatory and cardiac blood markers. It was evident that underlying cardiovascular diseases may increase the risk of developing cardiac injury. However, many COVID-19 patients included in this review, developed different types of cardiac injury without having any underlying cardiovascular diseases. Furthermore, many of these patients were either children or adolescents. Therefore, age and comorbidities may not always be the two main risk factors that dictate the severity and outcome of COVID-19. Further investigations are required to understand the underlying mechanisms of pathogenicity as an urgent requirement to develop the appropriate treatment and prevention strategies. These strategies may specifically target hyperinflammation as a suspected driving factor for some of the severe complications of COVID-19.

County-level estimates of excess mortality associated with COVID-19 in the United States

The COVID-19 pandemic in the U.S. has been largely monitored using death certificates containing reference to COVID-19. However, prior analyses reveal that a significant percentage of excess deaths associated with the pandemic were not directly assigned to COVID-19. In this study, we estimated a generalized linear model of expected mortality based on historical trends in deaths by county of residence between 2011 and 2019. We used the results of the model to generate estimates of excess mortality and excess deaths not assigned to COVID-19 in 2020 for 1470 county sets in the U.S. representing 3138 counties. Across the country, we estimated that 438,386 excess deaths occurred in 2020, among which 87.5% were assigned to COVID-19. Some regions (Mideast, Great Lakes, New England, and Far West) reported the most excess deaths in large central metros, whereas other regions (Southwest, Southeast, Plains, and Rocky Mountains) reported the highest excess mortality in nonmetro areas. The proportion assigned to COVID-19 was lowest in large central metro areas (79.3%). Regionally, the proportion of excess deaths assigned to COVID-19 was lowest in the Southeast (81.6%), Southwest (82.6%), Far West (83.7%), and Rocky Mountains (86.7%). Across the regions, the number of excess deaths exceeded the number of directly assigned COVID-19 deaths in most counties. The exception to this pattern occurred in New England, which reported more directly assigned COVID-19 deaths than excess deaths in metro and nonmetro areas. Many county sets had substantial numbers of excess deaths that were not accounted for in direct COVID-19 death counts. Estimates of excess mortality at the local level can inform the allocation of resources to areas most impacted by the pandemic and contribute to positive behavior feedback loops, such as increases in mask-wearing and vaccine uptake.

•

438,386 excess deaths occurred in 2020, among which 87.5% were assigned to COVID-19.

•

There was substantial heterogeneity in excess death rates across counties.

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The mortality impact of the Covid-19 pandemic was effectively hidden in many counties.

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The percent of excess deaths assigned to COVID-19 was lowest in the South and West.

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New England uniquely reported more direct COVID-19 deaths than excess deaths.

Acute Myocardial Infarction During the COVID-19 Pandemic: An Update on Clinical Characteristics and Outcomes

The outbreak of coronavirus disease 2019 (COVID-19) has rapidly become a worldwide pandemic. On top of respiratory complications, COVID-19 is associated with major direct and indirect cardiovascular consequences, with the latter probably being even more relevant, especially in the setting of time-dependent cardiovascular emergencies. A growing amount of data suggests a dramatic decline in hospital admissions for acute myocardial infarction (AMI) worldwide during the COVID-19 pandemic, mostly since patients did not activate emergency medical systems because hospitals were perceived as dangerous places regarding the infection risk. Moreover, during the COVID-19 pandemic, patients with AMI had a significantly higher in-hospital mortality compared to those admitted before COVID-19, potentially due to late arrival to the hospital. Finally, no consensus has been reached regarding the most adequate healthcare management pathway for AMI and shared guidance on how to handle patients with AMI during the pandemic is still needed. In this review, we will provide an update on epidemiology, clinical characteristics, and outcomes of patients with AMI during the COVID-19 pandemic, with a special focus on its collateral cardiac impact.

Observational study of clinico-radiological follow-up of COVID-19 pneumonia: a district general hospital experience in the UK

BACKGROUND

The British Thoracic Society (BTS) recommends that all patients admitted with COVID-19 pneumonia should have a chest X-ray (CXR) and clinical follow-up at 6 or 12 weeks, depending on the disease severity. Little data is available on long-term CXR follow-up for moderate and severe COVID-19 pneumonia. This study aims to evaluate compliance with clinico-radiological follow-up of patients recovering from COVID-19 pneumonia at a local hospital in the UK, as per the BTS guidance, and to analyse radiological changes at clinical follow-up at 12 weeks, in order to risk-stratify and improve patient outcomes.

METHODS

This is a single-centre retrospective audit of 255 consecutive COVID-19 positive patients admitted to a local hospital in the UK over 5 months between May and October 2020. All CXRs and clinic follow-up at 12 ± 8 weeks were checked on an electronic database.

RESULTS

Over one in two (131/255) patients had CXR evidence of COVID-19 pneumonia during the initial hospital admission. Half of the patients (60/131) died before CXR or clinic follow-up. Fifty-eight percent (41/71) of the surviving patients had a follow-up CXR, and only two developed respiratory complications- one had residual lung fibrosis, another a pulmonary embolism. Eighty-eight percent (36/41) of the patients had either resolution or improved radiological changes at follow-up. Most patients who had abnormal follow-up CXR were symptomatic (6/8), and many asymptomatic patients at follow-up had a normal CXR (10/12).

CONCLUSIONS

Although there were concerns about interstitial lung disease (ILD) incidence in patients with COVID-19 pneumonia, most of our patients with COVID-19 pneumonia had no pulmonary complications at follow-up with CXR. This emphasises that CXR, a cost-effective investigation, can be used to risk-stratify patients for long term pulmonary complications following their COVID-19 pneumonia. However, we acknowledge the limitations of a low CXR and clinic follow-up rate in our cohort.

[Guideline S1: Long COVID: Diagnostics and treatment strategies]

This guideline comprises the state of science at the time of the editorial deadline. In view of the high turnover of knowledge the guideline is designed as a living guideline. The main objective was to provide a tool for the use in primary care, being considered well suited as a first point of entry and for the provision of care. The guideline gives recommendations on the differential diagnosis of symptoms following SARS-CoV‑2 infection, on their therapeutic options, as well as for guidance and care of the patients concerned. It also offers advice concerning return to daily life and rehabilitation. Long COVID being a very variable condition, we chose an interdisciplinary approach.

The Impact of COVID-19 Pandemic and Lockdown Restrictions on Cardiac Implantable Device Recipients with Remote Monitoring

From 2020, many countries have adopted several restrictions to limit the COVID-19 pandemic. The forced containment impacted on healthcare organizations and the everyday life of patients with heart disease. We prospectively analyzed data recorded from implantable defibrillators and/or cardiac resynchronization devices of Italian patients during the lockdown (LDP), post-lockdown period (PLDP) and a control period (CP) of the previous year. We analyzed device data of the period 9 March 2019–31 May 2020 of remotely monitored patients from 34 Italian centers. Patients were also categorized according to areas with high/low infection prevalence. Among 696 patients, we observed a significant drop in median activity in LDP as compared to CP that significantly increased in the PLDP, but well below CP (all p < 0.0001). The median day heart rate and heart rate variability showed a similar trend. This behavior was associated during LDP with a significant increase in the burden of atrial arrhythmias (p = 0.0150 versus CP) and of ventricular arrhythmias [6.6 vs. 1.5 per 100 patient-weeks in CP; p = 0.0026]; the latter decreased in PLDP [0.3 per 100 patient-weeks; p = 0.0035 vs. LDP]. No modifications were recorded in thoracic fluid levels. The high/low prevalence of COVID-19 infection had no significant impact. We found an increase in the arrhythmic burden in LDP coupled with a decrease in physical activity and heart rate variability, without significant modifications of transthoracic impedance, independent from COVID-19 infection prevalence. These findings suggest a negative impact of the COVID-19 pandemic, probably related to lockdown restrictions.

Post-COVID-19 acute sarcopenia: physiopathology and management

In this review, we discuss the pathophysiologic and management aspects of acute sarcopenia in relation to SARS-CoV-2 infection. COVID-19 is as a multi-organ infectious disease characterized by a severe inflammatory and highly catabolic status, influencing the deep changes in the body build, especially the amount, structure, and function of skeletal muscles which would amount to acutely developed sarcopenia. Acute sarcopenia may largely impact patients’ in-hospital prognosis as well as the vulnerability to the post-COVID-19 functional and physical deterioration. The individual outcome of the COVID-19 and the degree of muscle mass and functional loss may be influenced by multiple factors, including the patient’s general pre-infection medical and functional condition, especially in older adults. This paper gathers the information about how the SARS-CoV-2 hyper-inflammatory involvement exacerbates the immunosenescence process, enhances the endothelial damage, and due to mitochondrial dysfunction and autophagy, induces myofibrillar breakdown and muscle degradation. The aftermath of these acute and complex immunological SARS-CoV-2-related phenomena, augmented by anosmia, ageusia and altered microbiota may lead to decreased food intake and exacerbated catabolism. Moreover, the imposed physical inactivity, lock-down, quarantine or acute hospitalization with bedrest would intensify the acute sarcopenia process. All these deleterious mechanisms must be swiftly put to a check by a multidisciplinary approach including nutritional support, early physical as well cardio-pulmonary rehabilitation, and psychological support and cognitive training. The proposed holistic and early management of COVID-19 patients appears essential to minimize the disastrous functional outcomes of this disease and allow avoiding the long COVID-19 syndrome.