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Clinical Characteristics and Predictors of In-Hospital Mortality of Patients Hospitalized with COVID-19 Infection

Background: The identification of parameters that would serve as predictors of prognosis in COVID-19 patients is very important. In this study, we assessed independent factors of in-hospital mortality of COVID-19 patients during the second wave of the pandemic. Material and methods: The study group...

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Detalles Bibliográficos
Autores principales: Gromadziński, Leszek, Żechowicz, Maciej, Moczulska, Beata, Kasprzak, Michał, Grzelakowska, Klaudyna, Nowek, Paulina, Stępniak, Dominika, Jaje-Rykowska, Natalia, Kłosińska, Aleksandra, Pożarowszczyk, Mikołaj, Wochna, Aleksandra, Kern, Adam, Romaszko, Jerzy, Sobacka, Agata, Podhajski, Przemysław, Kubica, Aldona, Kryś, Jacek, Piasecki, Maciej, Lackowski, Piotr, Jasiewicz, Małgorzata, Navarese, Eliano Pio, Kubica, Jacek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9821385/
https://www.ncbi.nlm.nih.gov/pubmed/36614944
http://dx.doi.org/10.3390/jcm12010143
Descripción
Sumario:Background: The identification of parameters that would serve as predictors of prognosis in COVID-19 patients is very important. In this study, we assessed independent factors of in-hospital mortality of COVID-19 patients during the second wave of the pandemic. Material and methods: The study group consisted of patients admitted to two hospitals and diagnosed with COVID-19 between October 2020 and May 2021. Clinical and demographic features, the presence of comorbidities, laboratory parameters, and radiological findings at admission were recorded. The relationship of these parameters with in-hospital mortality was evaluated. Results: A total of 1040 COVID-19 patients (553 men and 487 women) qualified for the study. The in-hospital mortality rate was 26% across all patients. In multiple logistic regression analysis, age ≥ 70 years with OR = 7.8 (95% CI 3.17–19.32), p < 0.001, saturation at admission without oxygen ≤ 87% with OR = 3.6 (95% CI 1.49–8.64), p = 0.004, the presence of typical COVID-19-related lung abnormalities visualized in chest computed tomography ≥40% with OR = 2.5 (95% CI 1.05–6.23), p = 0.037, and a concomitant diagnosis of coronary artery disease with OR = 3.5 (95% CI 1.38–9.10), p = 0.009 were evaluated as independent risk factors for in-hospital mortality. Conclusion: The relationship between clinical and laboratory markers, as well as the advancement of lung involvement by typical COVID-19-related abnormalities in computed tomography of the chest, and mortality is very important for the prognosis of these patients and the determination of treatment strategies during the COVID-19 pandemic.