Anticipating the long-term cardiovascular effects of COVID-19

Journal of Thrombosis and Thrombolysis -     

Anticoagulant treatment in COVID-19: a narrative review

Journal of Thrombosis and Thrombolysis - The actual Coronavirus Disease (COVID 19) pandemic is due to Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a member of the coronavirus...     

Rasch Model of the COVID-19 Symptom Checklist—A Psychometric Validation Study

While self-reported Coronavirus Disease 2019 (COVID-19) symptom checklists have been extensively used during the pandemic, they have not been sufficiently validated from a psychometric perspective. We, therefore, used advanced psychometric modelling to explore the construct validity and internal consistency of an online self-reported COVID-19 symptom checklist and suggested adaptations where necessary. Fit to the Rasch model was examined in a sample of 1638 Austrian citizens who completed the checklist on up to 20 days during a lockdown. The items’ fatigue’, ‘headache’ and ‘sneezing’ had the highest likelihood to be affirmed. The longitudinal application of the symptom checklist increased the fit to the Rasch model. The item ‘cough’ showed a significant misfit to the fundamental measurement model and an additional dependency to ‘dry cough/no sputum production’. Several personal factors, such as gender, age group, educational status, COVID-19 test status, comorbidities, immunosuppressive medication, pregnancy and pollen allergy led to systematic differences in the patterns of how symptoms were affirmed. Raw scores’ adjustments ranged from ±0.01 to ±0.25 on the metric scales (0 to 10). Except for some basic adaptations that increases the scale’s construct validity and internal consistency, the present analysis supports the combination of items. More accurate item wordings co-created with laypersons would lead to a common understanding of what is meant by a specific symptom. Adjustments for personal factors and comorbidities would allow for better clinical interpretations of self-reported symptom data.     

On the Parametrization of Epidemiologic Models—Lessons from Modelling COVID-19 Epidemic

Numerous prediction models of SARS-CoV-2 pandemic were proposed in the past. Unknown parameters of these models are often estimated based on observational data. However, lag in case-reporting, changing testing policy or incompleteness of data lead to biased estimates. Moreover, parametrization is time-dependent due to changing age-structures, emerging virus variants, non-pharmaceutical interventions, and vaccination programs. To cover these aspects, we propose a principled approach to parametrize a SIR-type epidemiologic model by embedding it as a hidden layer into an input-output non-linear dynamical system (IO-NLDS). Observable data are coupled to hidden states of the model by appropriate data models considering possible biases of the data. This includes data issues such as known delays or biases in reporting. We estimate model parameters including their time-dependence by a Bayesian knowledge synthesis process considering parameter ranges derived from external studies as prior information. We applied this approach on a specific SIR-type model and data of Germany and Saxony demonstrating good prediction performances. Our approach can estimate and compare the relative effectiveness of non-pharmaceutical interventions and provide scenarios of the future course of the epidemic under specified conditions. It can be translated to other data sets, i.e., other countries and other SIR-type models.     

COVID-19 and cardiac arrhythmias

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Susac syndrome following COVID-19 vaccination: a case-based review

Clinical Rheumatology - COVID-19 vaccine circulation approval was a turning point for the coronavirus pandemic. The current approved COVID-19 vaccines, including messenger ribonucleic acid...     

Excess Body Mass—A Factor Leading to the Deterioration of COVID-19 and Its Complications—A Narrative Review

Currently, the world is facing two serious pandemics: obesity and COVID-19. It is well-established that the prevalence of obesity has risen dramatically, causing a deterioration in the health quality of the population and increasing susceptibility for the unfavourable course of acute infections. It has been observed that excess body mass significantly influences the COVID-19 outcome. The aim of this review is to present the latest scientific reports on the impact of excess body mass on the course and complications of COVID-19. The Web of Science, PubMed, and Google Scholar databases were searched. Only studies reporting patients stated to be COVID-19 positive based on the results of a nasopharyngeal swab and the ribonucleic acid test were included. It is shown that thromboembolic and ischemic complications, namely stroke, disseminated intravascular coagulation, severe hyperglycaemia, and leukoencephalopathy are more likely to appear in COVID-19 positive patients with obesity compared to non-obese subjects. COVID-19 complications such as cardiomyopathy, dysrhythmias, endothelial dysfunction, acute kidney injury, dyslipidaemia, lung lesions and acute respiratory distress syndrome have a worse outcome among obese patients.     

Patterns of cardiovascular diseases in COVID-19 patients admitted to tertiary cardiac care centre

ObjectivesTo analyse the pattern of cardiovascular diseases (CVDs) in COVID-19 patients admitted to tertiary cardiac care centre.MethodsWe retrospectively analysed 511 adult patients admitted between July 1, 2020, and November 30, 2020, with COVID-19 infection and having either new onset or pre-existing CVDs. Clinical features, electrocardiogram (ECG), echocardiography, chest X-ray, biomarkers, haematological and biochemical parameters were analysed.ResultsThe mean age of the patients was 56.62 ± 14.74 years. Male: Female ratio was 2.78:1. Pre-existing CVDs were present in 258 patients (50.5%). The most common cardiovascular manifestation was acute coronary syndrome (ACS), seen in 259 patients (50.7%). ST-segment elevation myocardial infarction (STEMI) was more common than non-ST-segment elevation ACS (NSTE-ACS). Possible myocarditis was seen in 52 patients (10.1%). Rhythm and conduction abnormalities were noted in 144 patients (28.2%), the most common being QT prolongation, seen in 51 patients (10%). In-hospital mortality occurred in 97 patients (18.9%). Age, serum Ferritin level, D-dimer, NT-pro-BNP and total leukocyte count were significantly higher among patients with in-hospital mortality compared to survival group. Blood lymphocyte count and Haemoglobin level were significantly lower in mortality-group, compared to survival-group. Incidence of pre-existing CVDs, cardiogenic shock, heart failure, atrial fibrillation (AF), and renal failure were significantly higher in mortality-group compared to survival-group.ConclusionThe most common CVD in COVID-19 patients in our study was ACS. STEMI was more common than NSTE-ACS. Advanced age, elevated serum ferritin, D-dimer, NT pro-BNP, leucocytosis, lymphopenia, lower haemoglobin, pre-existing CVDs heart failure, cardiogenic shock, AF and renal failure were associated with increased mortality in these patients.     

Literature Surveillance on COVID-19: COVID-19 literature surveillance—A framework to manage the literature and support evidence-based decision-making on a rapidly evolving public health topic

BackgroundThe coronavirus disease 2019 (COVID-19) pandemic has led to a rapid surge of literature on severe acute respiratory syndrome coronavirus 2 and the wider impacts of the pandemic. Research on COVID-19 has been produced at an unprecedented rate, and the ability to stay on top of the most relevant evidence is top priority for clinicians, researchers, public health professionals and policymakers. This article presents a knowledge synthesis methodology developed and used by the Public Health Agency of Canada for managing and maintaining a literature surveillance system to identify, characterize, categorize and disseminate COVID-19 evidence daily.MethodsThe Daily Scan of COVID-19 Literature project comprised a systematic process involving four main steps: literature search; screening for relevance; classification and summarization of studies; and disseminating a daily report.ResultsAs of the end of March 2022 there were approximately 300,000 COVID-19 and pandemic-related citations in the COVID-19 database, of which 50%–60% were primary research. Each day, a report of all new COVID-19 citations, literature highlights and a link to the updated database was generated and sent to a mailing list of over 200 recipients including federal, provincial and local public health agencies and academic institutions.ConclusionThis central repository of COVID-19 literature was maintained in real time to aid in accelerated evidence synthesis activities and support evidence-based decision-making during the pandemic response in Canada. This systematic process can be applied to future rapidly evolving public health topics that require the continuous evaluation and dissemination of evidence.     

Impact of metabolic and cardiovascular disease on COVID-19 mortality: A systematic review and meta-analysis

Background and aimsThis meta-analysis aims to highlight the impact of cardio-metabolic comorbidities on COVID-19 severity and mortality.MethodsA thorough search on major online databases was done for studies describing the clinical outcomes of COVID-19 patients. We used random-effects model to compute pooled estimates for critical or fatal disease.ResultsA total of 20,475 patients from 33 eligible studies were included. Maximum risk of development of critical or fatal COVID-19 disease was seen in patients with underlying cardiovascular disease [OR: 3.44, 95% CI: 2.65–4.48] followed by chronic lung disease, hypertension and diabetes mellitus. Of the total cases, 64% had one of the four comorbidities with the most prevalent being hypertension with a pooled prevalence of 27%.ConclusionsPresence of comorbidities like cardiovascular disease, chronic lung disease, hypertension and diabetes mellitus led to a higher risk of development of critical or fatal COVID-19 disease, with maximum risk seen with underlying cardiovascular disease.     

COVID-19 infection and cardiac arrhythmias

As the coronavirus 2019 (COVID-19) pandemic marches unrelentingly, more patients with cardiac arrhythmias are emerging due to the effects of the virus on the respiratory and cardiovascular (CV) systems and the systemic inflammation that it incurs, and also as a result of the proarrhythmic effects of COVID-19 pharmacotherapies and other drug interactions and the associated autonomic imbalance that enhance arrhythmogenicity. The most worrisome of all arrhythmogenic mechanisms is the QT prolonging effect of various anti-COVID pharmacotherapies that can lead to polymorphic ventricular tachycardia in the form of torsade des pointes and sudden cardiac death. It is therefore imperative to monitor the QT interval during treatment; however, conventional approaches to such monitoring increase the transmission risk for the staff and strain the health system. Hence, there is dire need for contactless monitoring and telemetry for inpatients, especially those admitted to the intensive care unit, as well as for outpatients needing continued management. In this context, recent technological advances have ushered in a new era in implementing digital health monitoring tools that circumvent these obstacles. All these issues are herein discussed and a large body of recent relevant data are reviewed.     

COVID-19 vaccination and cardiac dysfunction

The coronavirus disease 2019 (COVID-19) mRNA vaccine against severe acute respiratory syndrome coronavirus 2 infections has reduced the number of symptomatic patients globally. A case series of vaccine-related myocarditis or pericarditis has been published with extensive vaccination, most notably in teenagers and young adults. Men seem to be impacted more often, and symptoms commonly occur within 1 wk after immunization. The clinical course is mild in the majority of cases. Based on the evidence, a clinical framework to guide physicians to examine, analyze, identify, and report suspected and confirmed cardiac dysfunction cases is needed. A standardized workup for every patient with strongly suspicious symptoms associated with the COVID-19 mRNA vaccine comprises serum cardiac troponin measurement and a 12-lead electrocardiogram (ECG). For patients with unexplained elevation of cardiac troponin and pathologic ECG, echocardiography is recommended. Consultation with a cardiovascular expert and hospitalization should be considered in this group of patients. Treatment is primarily symptomatic and supportive. Deferring a 2^nd dose of the COVID-19 mRNA vaccination in individuals with suspected myocarditis or pericarditis after the 1^st dose is suggested until further safety data become available.     

Rapid and Successful Implementation of a COVID-19 Convalescent Plasma Programme—The South African Experience

Background: COVID-19 convalescent plasma (CCP) has been considered internationally as a treatment option for COVID-19. CCP refers to plasma collected from donors who have recovered from and made antibodies to SARS-CoV-2. To date, convalescent plasma has not been collected in South Africa. As other investigational therapies and vaccination were not widely accessible, there was an urgent need to implement a CCP manufacture programme to service South Africans. Methods: The South African National Blood Service and the Western Cape Blood Service implemented a CCP programme that included CCP collection, processing, testing and storage. CCP units were tested for SARS-CoV-2 Spike ELISA and neutralising antibodies and routine blood transfusion parameters. CCP units from previously pregnant females were tested for anti-HLA and anti-HNA antibodies. Results: A total of 987 CCP units were collected from 243 donors, with a median of three donations per donor. Half of the CCP units had neutralising antibody titres of >1:160. One CCP unit was positive on the TPHA serology. All CCP units tested for anti-HLA antibodies were positive. Conclusion: Within three months of the first COVID-19 diagnosis in South Africa, a fully operational CCP programme was set up across South Africa. The infrastructure and skills implemented will likely benefit South Africans in this and future pandemics.     

Environmental perspectives of COVID-19 outbreaks: A review

The coronavirus disease 2019 (COVID-19) pandemic, caused by the novel virus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), began in December 2019 in China and has led to a global public health emergency. Previously, it was known as 2019-nCoV and caused disease mainly through respiratory pathways. The COVID-19 outbreak is ranked third globally as the most highly pathogenic disease of the twenty-first century, after the outbreak of SARS-CoV and Middle East respiratory syndrome in 2002 and 2012, respectively. Clinical, laboratory, and diagnostic methodology have been demonstrated in some observational studies. No systematic reviews on COVID-19 have been published regarding the integration of COVID-19 outbreaks (monitoring, fate and treatment) with environmental and human health perspectives. Accordingly, this review systematically addresses environmental aspects of COVID-19 outbreak such as the origin of SARS-CoV-2, epidemiological characteristics, diagnostic methodology, treatment options and technological advancement for the prevention of COVID-19 outbreaks. Finally, we integrate COVID-19 outbreaks (monitoring, fate and treatment) with environmental and human health perspectives. We believe that this review will help to understand the SARS-CoV-2 outbreak as a multipurpose document, not only for the scientific community but also for global citizens. Countries should adopt emergency preparedness such as prepare human resources, infrastructure and facilities to treat severe COVID-19 as the virus spreads rapidly globally.     

The Potential Role of COVID-19 in the Pathogenesis of Multiple Sclerosis—A Preliminary Report

Coronavirus 2019 (COVID-19) is an infectious respiratory disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that mainly affects the lungs. COVID-19 symptoms include the presence of fevers, dry coughs, fatigue, sore throat, headaches, diarrhea, and a loss of taste or smell. However, it is understood that SARS-CoV-2 is neurotoxic and neuro-invasive and could enter the central nervous system (CNS) via the hematogenous route or via the peripheral nerve route and causes encephalitis, encephalopathy, and acute disseminated encephalomyelitis (ADEM) in COVID-19 patients. This review discusses the possibility of SARS-CoV-2-mediated Multiple Sclerosis (MS) development in the future, comparable to the surge in Parkinson’s disease cases following the Spanish Flu in 1918. Moreover, the SARS-CoV-2 infection is associated with a cytokine storm. This review highlights the impact of these modulated cytokines on glial cell interactions within the CNS and their role in potentially prompting MS development as a secondary disease by SARS-CoV-2. SARS-CoV-2 is neurotropic and could interfere with various functions of neurons leading to MS development. The influence of neuroinflammation, microglia phagocytotic capabilities, as well as hypoxia-mediated mitochondrial dysfunction and neurodegeneration, are mechanisms that may ultimately trigger MS development.