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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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 |
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author | 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 |
author_facet | 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 |
author_sort | Gromadziński, Leszek |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9821385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98213852023-01-07 Clinical Characteristics and Predictors of In-Hospital Mortality of Patients Hospitalized with COVID-19 Infection 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 J Clin Med Article 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. MDPI 2022-12-24 /pmc/articles/PMC9821385/ /pubmed/36614944 http://dx.doi.org/10.3390/jcm12010143 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article 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 Clinical Characteristics and Predictors of In-Hospital Mortality of Patients Hospitalized with COVID-19 Infection |
title | Clinical Characteristics and Predictors of In-Hospital Mortality of Patients Hospitalized with COVID-19 Infection |
title_full | Clinical Characteristics and Predictors of In-Hospital Mortality of Patients Hospitalized with COVID-19 Infection |
title_fullStr | Clinical Characteristics and Predictors of In-Hospital Mortality of Patients Hospitalized with COVID-19 Infection |
title_full_unstemmed | Clinical Characteristics and Predictors of In-Hospital Mortality of Patients Hospitalized with COVID-19 Infection |
title_short | Clinical Characteristics and Predictors of In-Hospital Mortality of Patients Hospitalized with COVID-19 Infection |
title_sort | clinical characteristics and predictors of in-hospital mortality of patients hospitalized with covid-19 infection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9821385/ https://www.ncbi.nlm.nih.gov/pubmed/36614944 http://dx.doi.org/10.3390/jcm12010143 |
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