ReviewLife (Basel, Switzerland)2022
A Real Pandora's Box in Pandemic Times: A Narrative Review on the Acute Cardiac Injury Due to COVID-19.
Review in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 17 citations in OpenAlex.
- Integrating the Interleukins in the Biomarker Panel for the Diagnosis and Prognosis of Patients with Acute Coronary Syndromes: Unraveling a Multifaceted Conundrum.Diagnostics (Basel, Switzerland) · 2025Article
- Review
- Spectrum of Non-Obstructive Coronary Artery Disease and Its Relationship with Atrial Fibrillation.Journal of clinical medicine · 2024Review
- Electrocardiogram Features in Non-Cardiac Diseases: From Mechanisms to Practical Aspects.Journal of multidisciplinary healthcare · 2024Review
- Symptoms, Treatment, and Outcomes of COVID-19 Patients Coinfected withAntibiotics (Basel, Switzerland) · 2023Article
- Strain Echocardiography in Acute COVID-19 and Post-COVID Syndrome: More than Just a Snapshot.Biomedicines · 2023Review
- Syndecan-1: From a Promising Novel Cardiac Biomarker to a Surrogate Early Predictor of Kidney and Liver Injury in Patients with Acute Heart Failure.Life (Basel, Switzerland) · 2023Article
- An Overview of the Impact of Bacterial Infections and the Associated Mortality Predictors in Patients with COVID-19 Admitted to a Tertiary Center from Eastern Europe.Antibiotics (Basel, Switzerland) · 2023Article
- Distinct Features of Vascular Diseases in COVID-19.Journal of inflammation research · 2023Review
- A Rising Star of the Multimarker Panel: Growth Differentiation Factor-15 Levels Are an Independent Predictor of Mortality in Acute Heart Failure Patients Admitted to an Emergency Clinical Hospital from Eastern Europe.Life (Basel, Switzerland) · 2022Article
- nn-TransUNet: An Automatic Deep Learning Pipeline for Heart MRI Segmentation.Life (Basel, Switzerland) · 2022Article
- Ischemic Heart Disease in the Context of Different Comorbidities.Life (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The intricate relationship between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the cardiovascular system is an extensively studied pandemic topic, as there is an ever-increasing amount of evidence that reports a high prevalence of acute cardiac injury in the context of viral infection. In patients with Coronavirus disease 2019, COVID-19, a significant increase in serum levels of cardiac troponin or other various biomarkers was observed, suggesting acute cardiac injury, thus predicting both a severe course of the disease and a poor outcome. Pathogenesis of acute cardiac injury is not yet completely elucidated, though several mechanisms are allegedly involved, such as a direct cardiomyocyte injury, oxygen supply-demand inequity caused by hypoxia, several active myocardial depressant factors during sepsis, and endothelial dysfunction due to the hyperinflammatory status. Moreover, the increased levels of plasma cytokines and catecholamines and a significantly enhanced prothrombotic environment may lead to the destabilization and rupture of atheroma plaques, subsequently triggering an acute coronary syndrome. In the present review, we focus on describing the epidemiology, pathogenesis, and role of biomarkers in the diagnosis and prognosis of patients with acute cardiac injury in the setting of the COVID-19 pandemic. We also explore some novel therapeutic strategies involving immunomodulatory therapy, as well as their role in preventing a severe form of the disease, with both the short-term outcome and the long-term cardiovascular sequelae being equally important in patients with SARS-CoV-2 induced acute cardiac injury.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.