Journal of cardiac failure
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Cardiac complications, including clinically suspected myocarditis, have been described in novel coronavirus disease 2019. Here, we review current data on suspected myocarditis in the course of severe acute respiratory syndrome novel coronavirus-2 (SARS-CoV-2) infection. Hypothetical mechanisms to explain the pathogenesis of troponin release in patients with novel coronavirus disease 2019 include direct virus-induced myocardial injury (ie, viral myocarditis), systemic hyperinflammatory response (ie, cytokine storm), hypoxemia, downregulation of angiotensin-converting enzyme 2, systemic virus-induced endothelialitis, and type 1 and type 2 myocardial infarction. ⋯ Data from endomyocardial biopsies and autopsies in clinically suspected SARS-CoV-2 myocarditis are scarce. Overall, current clinical epidemiologic data do not support the hypothesis that viral myocarditis is caused by SARS-CoV-2, or that it is common. More endomyocardial biopsy and autopsy data are also needed for a better understanding of pathogenesis of clinically suspected myocarditis in the course of SARS-CoV-2 infection, which may include virus-negative immune-mediated or already established subclinical autoimmune forms, triggered or accelerated by the hyperinflammatory state of severe novel coronavirus disease 2019.
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Lymphocytopenia is associated with mortality in acute heart failure (AHF), and portal congestion has been suggested to play a role in leukocyte distribution. The associations between lymphocytopenia and ultrasound surrogates for portal congestion have never been studied. We aimed to characterize the determinants of lymphocytopenia, explore the associations between lymphocytopenia and portal congestion, and explore the relationships between lymphocytopenia and outcomes in AHF. ⋯ In AHF, lymphocytopenia is associated with ultrasound surrogates for portal congestion and right ventricular dysfunction. Whether these associations depict a potent pathophysiologic pathway or whether they only reflect a more advanced disease remains uncertain.
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Impella (Abiomed Inc, Danvers, MA) is a temporary mechanical support device positioned across the aortic valve, and can be used to support patient before LVAD implantation. There are no data on the incidence of aortic insufficiency (AI) in patients supported with Impella as a bridge to durable LVAD implantation. We sought to assess the incidence of AI in patients with Impella support as a bridge to durable left ventricular assist device (LVAD) implantation. ⋯ Patients supported by Impella as a bridge to durable LVAD have a higher risk of developing AI. Further studies are needed to assess this risk as the use of the Impella increases.
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Surveillance and outcome studies for heart failure (HF) require accurate identification of patients with HF. Algorithms based on International Classification of Diseases (ICD) codes to identify HF from administrative data are inadequate owing to their relatively low sensitivity. Detailed clinical information from electronic medical records (EMRs) is potentially useful for improving ICD algorithms. This study aimed to enhance the ICD algorithm for HF definition by incorporating comprehensive information from EMRs. ⋯ Applying natural language processing and machine learning on the discharge summaries of inpatient EMR data can improve the capture of cases of HF compared with the widely used ICD algorithm. The utility of the HFC algorithm is straightforward, making it easily applied for HF case identification.