Selected article for: "acute respiratory infection and admission age"

Author: Josa-Laorden, Claudia; Crestelo-Vieitez, Anxela; García Andreu, María del Mar; Rubio-Rivas, Manuel; Sánchez, Marcos; Toledo Samaniego, Neera; Arnalich Fernández, Francisco; Iguaran Bermudez, Rosario; Fonseca Aizpuru, Eva Ma; Vargas Núñez, Juan Antonio; Pesqueira Fontan, Paula Maria; Serrano Ballesteros, Jorge; Freire Castro, Santiago Jesús; Pestaña Fernández, Melani; Viana García, Alba; Nuñez Rodriguez, Victoria; Giner-Galvañ, Vicente; Carrasco Sánchez, Francisco Javier; Hernández Milián, Almudena; Cobos-Siles, Marta; Napal Lecumberri, Jose Javier; Herrero García, Virginia; Pascual Pérez, Maria de los Reyes; Millán Núñez-Cortés, Jesús; Casas Rojo, José Manuel
Title: Gender-Based Differences by Age Range in Patients Hospitalized with COVID-19: A Spanish Observational Cohort Study
  • Cord-id: i4hjp9xn
  • Document date: 2021_2_25
  • ID: i4hjp9xn
    Snippet: There is some evidence that male gender could have a negative impact on the prognosis and severity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The aim of the present study was to compare the characteristics of coronavirus disease 2019 (COVID-19) between hospitalized men and women with confirmed SARS-CoV-2 infection. This multicenter, retrospective, observational study is based on the SEMI-COVID-19 Registry. We analyzed the differences between men and women for a wi
    Document: There is some evidence that male gender could have a negative impact on the prognosis and severity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The aim of the present study was to compare the characteristics of coronavirus disease 2019 (COVID-19) between hospitalized men and women with confirmed SARS-CoV-2 infection. This multicenter, retrospective, observational study is based on the SEMI-COVID-19 Registry. We analyzed the differences between men and women for a wide variety of demographic, clinical, and treatment variables, and the sex distribution of the reported COVID-19 deaths, as well as intensive care unit (ICU) admission by age subgroups. This work analyzed 12,063 patients (56.8% men). The women in our study were older than the men, on average (67.9 vs. 65.7 years; p < 001). Bilateral condensation was more frequent among men than women (31.8% vs. 29.9%; p = 0.007). The men needed non-invasive and invasive mechanical ventilation more frequently (5.6% vs. 3.6%, p < 0.001, and 7.9% vs. 4.8%, p < 0.001, respectively). The most prevalent complication was acute respiratory distress syndrome, with severe cases in 19.9% of men (p < 0.001). In men, intensive care unit admission was more frequent (10% vs. 6.1%; p < 0.001) and the mortality rate was higher (23.1% vs. 18.9%; p < 0.001). Regarding mortality, the differences by gender were statistically significant in the age groups from 55 years to 89 years of age. A multivariate analysis showed that female sex was significantly and independently associated with a lower risk of mortality in our study. Male sex appears to be related to worse progress in COVID-19 patients and is an independent prognostic factor for mortality. In order to fully understand its prognostic impact, other factors associated with sex must be considered.

    Search related documents:
    Co phrase search for related documents
    • absolute frequency and logistic regression model: 1
    • active smoking and admission hospitalization: 1, 2
    • active smoking and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14
    • active smoking and logistic regression model: 1
    • acute ards respiratory distress syndrome and additional factor: 1, 2
    • acute ards respiratory distress syndrome and admission dyspnea: 1, 2, 3, 4, 5, 6, 7
    • acute ards respiratory distress syndrome and admission hospitalization: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23
    • acute ards respiratory distress syndrome and lmwh low molecular weight heparin: 1, 2, 3, 4, 5, 6, 7
    • acute ards respiratory distress syndrome and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • acute ards respiratory distress syndrome and logistic regression model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13
    • acute ards respiratory distress syndrome and low molecular: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
    • acute ards respiratory distress syndrome and low molecular weight: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
    • acute ards respiratory distress syndrome and low molecular weight heparin: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
    • acute respiratory distress syndrome and lmwh low molecular weight heparin: 1, 2, 3, 4, 5, 6, 7, 8, 9
    • acute respiratory distress syndrome and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • acute respiratory distress syndrome and logistic regression model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23
    • acute respiratory distress syndrome and low molecular: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • acute respiratory distress syndrome and low molecular weight: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24
    • acute respiratory distress syndrome and low molecular weight heparin: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20