Background: Coronavirus disease 2019 (COVID-19) is associated with cardiovascular (CV) complications including myocardial injury, myocarditis, arrhythmias, and venous thromboembolism. The infection is more severe in patients with pre-existing cardiovascular disease (CVD), where systemic inflammation due to cytokine storm, hypercoagulation, as well as high hematocrit and platelet (PLT) count may contribute to an increased CV risk. The authors hypothesize that anticoagulants and antiplatelets prevent miocardial infarction (MI) in patients with pre-existing CVD.
Methods: A cohort study enrolled patients with a confirmed diagnosis of COVID-19. Clinical and laboratory data, total and CV mortality, as well as MI incidence and treatment regimens were compared according to the time of hospitalization: 40-day period in April-May (Group 1) and in October-November (Group 2).
Results: A total of 195 patients were enrolled: 93 in Group 1, with 36.5%, and 102 in Group 2 with 38.2% pre-existing CVD. Group 1 was managed with infusion therapy; only 10.7% received anticoagulation. Group 2 received preventive anticoagulants, antiplatelets, and infusion therapy. In Group 1, seven cases of MI were recorded compared to only three in Group 2. No significant difference in overall mortality (4.3% vs 6.86%, p = 0.441) and MI incidence (7.5% vs 2.9%, p = 0.149) was found, but significant differences were seen in the incidence of severe and critically ill cases between the groups (69.9% and 7.5% vs 75.5% and 20.6%, p < 0.001).
Conclusions: Poorer outcomes in the early COVID-19 wave were associated with inadequate anticoagulation due to lack of knowledge about the new virus. Despite significantly more severe cases, there was no significant difference in overall mortality and MI incidence in patients with anticoagulation.
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http://dx.doi.org/10.1007/s00399-021-00786-z | DOI Listing |
Background: Drivers of COVID-19 severity are multifactorial and include multidimensional and potentially interacting factors encompassing viral determinants and host-related factors (i.e., demographics, pre-existing conditions and/or genetics), thus complicating the prediction of clinical outcomes for different severe acute respiratory syndrome coronavirus (SARS-CoV-2) variants.
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Department of Critical Care Medicine, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Trauma Center, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China.
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Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, North Kargar Ave, Tehran 1411713138, Iran.
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Thalheimer Center for Cardio-Oncology, Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Background: Cardiovascular (CV) comorbidities and concurrent medications with risk of heart rate-corrected QT interval (QTc) prolongation can impact treatment decisions and safety discussions for patients with breast cancer. However, limited data are available regarding their prevalence in patients with HR + /HER2- metastatic breast cancer (mBC). We evaluated the prevalence of CV comorbidities, the use of concurrent medications with risk of QTc prolongation, and treatment patterns in patients with newly diagnosed HR + /HER2 - mBC.
View Article and Find Full Text PDFBMC Surg
January 2025
Department of Statistics, Debremarkos University, Debremarkos, Ethiopia.
Introduction: Post-surgical recovery time is influenced by various factors, including patient demographics, surgical details, pre-existing conditions, post-operative care, and socioeconomic status. Understanding these dynamics is crucial for improving patient outcomes. This study aims to identify significant predictors of post-surgical recovery time in a resource-limited Ethiopian hospital setting and to evaluate the variability attributable to individual patient differences and surgical team variations.
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