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1.
Cureus ; 15(6): e39905, 2023 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-37404436

RESUMO

Coronavirus disease 2019 and influenza B can have similar presentations and are self-limited in most cases. They are rarely associated with fatal cardiovascular complications. Coronavirus and influenza B-induced myocarditis is a rare but reversible cause of cardiogenic shock. Early detection plus administration of antiviral agents and supportive care with mechanical circulatory support in the form of an intra-aortic balloon pump can be a lifesaving measure in myocarditis.

2.
Crit Care Res Pract ; 2021: 9963274, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34367693

RESUMO

As SARS-CoV-2 continues to spread across the globe and significantly impacts health-care systems and strains resources, identifying prognostic factors to predict clinical outcome remains essential. We conducted a retrospective cohort study to further explore the prognostic value of serum hypoalbuminemia and other factors in hospitalized COVID-19 patients. The primary endpoint was defined as the risk of in-hospital mortality. 300 patients were included in the analysis, with 56% being male and a mean (±SD) age of 61.5 ± 15.3 years. The mean (±SD) albumin was 2.86 ± 0.5 g/dL. Our analysis showed that patients with in-hospital mortality had lower albumin levels than patients without in-hospital mortality (2.6 ± 0.49 vs. 2.9 ± 0.48 g/dL, respectively, with P value = <0.001). A multivariant logistic regression analysis was subsequently conducted, and after adjustment, the serum albumin level remained a strong predictor of the primary outcome. Based on the data gathered, we were able to create a model predictive of mortality in this patient group based on the serum albumin level and other pertinent factors. In this model, with all other variables remaining constant, each one-unit increase in albumin is estimated to reduce the odds of mortality by 73%. Our results strengthen the current available data on the prognostic value of serum albumin in COVID-19 patients and provide a model to predict in-hospital mortality.

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