Cardiometabolic predictive factors for mortality in patients with SARS-CoV-2/COVID-19
Introduction: ending 2019, the first reported cases of Covid-19 broke out in Wuhan, China. This disease may affect directly the cardiovascular system or predispose it to be infected by the SARS-CoV-2. Objective: to identify the cardiometabolic predictive factors for mortality in patients with SARS-C...
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Veröffentlicht in: | Revista información científica 2022-03, Vol.101 (2), p.e3581-e3581 |
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Sprache: | spa |
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Zusammenfassung: | Introduction: ending 2019, the first reported cases of Covid-19 broke out in Wuhan, China. This disease may affect directly the cardiovascular system or predispose it to be infected by the SARS-CoV-2. Objective: to identify the cardiometabolic predictive factors for mortality in patients with SARS-CoV-2/COVID-19 from Santiago de Cuba city in the period May 2020 throughout May 2021. Method: an analytical cohort study was carried out. It was a co-operative research that involved professionals from the Internal Medicine and Intensive Care Services at the Hospital Clínico Quirúrgico “Ambrosio Grillo Portuondo”, as well as professionals from the Dirección Municipal de Salud in Santiago de Cuba city. A sample of 120 patients was selected for the identification of cardiometabolic predictive factors for mortality. Data analysis was based on the performance of a multivariate model (multivariate logistic regression). Results: throughout the hospitalization period 15 diseases were reported. Female sex was predominant but statistically we can´t associate to the deaths these two gender variables. However, age over 60 years, the arterial hypertension, diabetes mellitus and, in a high rank, the vascular involvement, were observed in a strongly association with mortality (p=0.0001). Conclusions: this research allowed the identification of cardiometabolic predictive factors for mortality in COVID-19, where age over 60 years, vascular involvement (cardiogenic shock), hypertension and diabetes mellitus are the main causal factors in the pathophysiological and statistical explanation of mortality. |
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ISSN: | 1028-9933 |