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Gender differences in predictors of intensive care units admission among COVID-19 patients: The results of the SARS-RAS study of the Italian Society of Hypertension
BACKGROUND: The global rate of intensive care unit (ICU) admission during the COVID-19 pandemic varies within countries and is among the main challenges for health care systems worldwide. Conflicting results have been reported about the response to coronavirus infection and COVID-19 outcomes in men...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7537902/ https://www.ncbi.nlm.nih.gov/pubmed/33022004 http://dx.doi.org/10.1371/journal.pone.0237297 |
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author | Iaccarino, Guido Grassi, Guido Borghi, Claudio Carugo, Stefano Fallo, Francesco Ferri, Claudio Giannattasio, Cristina Grassi, Davide Letizia, Claudio Mancusi, Costantino Minuz, Pietro Perlini, Stefano Pucci, Giacomo Rizzoni, Damiano Salvetti, Massimo Sarzani, Riccardo Sechi, Leonardo Veglio, Franco Volpe, Massimo Muiesan, Maria Lorenza |
author_facet | Iaccarino, Guido Grassi, Guido Borghi, Claudio Carugo, Stefano Fallo, Francesco Ferri, Claudio Giannattasio, Cristina Grassi, Davide Letizia, Claudio Mancusi, Costantino Minuz, Pietro Perlini, Stefano Pucci, Giacomo Rizzoni, Damiano Salvetti, Massimo Sarzani, Riccardo Sechi, Leonardo Veglio, Franco Volpe, Massimo Muiesan, Maria Lorenza |
author_sort | Iaccarino, Guido |
collection | PubMed |
description | BACKGROUND: The global rate of intensive care unit (ICU) admission during the COVID-19 pandemic varies within countries and is among the main challenges for health care systems worldwide. Conflicting results have been reported about the response to coronavirus infection and COVID-19 outcomes in men and women. Understanding predictors of intensive care unit admission might be of help for future planning and management of the disease. METHODS AND FINDINGS: We designed a cross-sectional observational multicenter nationwide survey in Italy to understand gender-related clinical predictors of ICU admission in patients with COVID-19. We analyzed information from 2378 charts of Italian patients certified for COVID-19 admitted in 26 hospitals. Three hundred ninety-five patients (16.6%) required ICU admission due to COVID19 infection, more frequently men (74%), with a higher prevalence of comorbidities (1,78±0,06 vs 1,54±0,03 p<0.05). In multivariable regression model main predictors of admission to ICU are male gender (OR 1,74 95% CI 1,36–2,22 p<0.0001) and presence of obesity (OR 2,88 95% CI 2,03–4,07 p<0.0001), chronic kidney disease (OR: 1,588; 95%, 1,036–2,434 p<0,05) and hypertension (OR: 1,314; 95% 1,039–1,662; p<0,05). In gender specific analysis, obesity, chronic kidney disease and hypertension are associated with higher rate of admission to ICU among men, whereas in women, obesity (OR: 2,564; 95% CI 1,336–4.920 p<0.0001) and heart failure (OR: 1,775 95% CI: 1,030–3,057) are associated with higher rate of ICU admission. CONCLUSIONS: Our study demonstrates that gender is the primary determinant of the disease’s severity among COVID-19. Obesity is the condition more often observed among those admitted to ICU within both genders. TRIAL REGISTRATION: Clinicaltrials.gov: NCT04331574. |
format | Online Article Text |
id | pubmed-7537902 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-75379022020-10-19 Gender differences in predictors of intensive care units admission among COVID-19 patients: The results of the SARS-RAS study of the Italian Society of Hypertension Iaccarino, Guido Grassi, Guido Borghi, Claudio Carugo, Stefano Fallo, Francesco Ferri, Claudio Giannattasio, Cristina Grassi, Davide Letizia, Claudio Mancusi, Costantino Minuz, Pietro Perlini, Stefano Pucci, Giacomo Rizzoni, Damiano Salvetti, Massimo Sarzani, Riccardo Sechi, Leonardo Veglio, Franco Volpe, Massimo Muiesan, Maria Lorenza PLoS One Research Article BACKGROUND: The global rate of intensive care unit (ICU) admission during the COVID-19 pandemic varies within countries and is among the main challenges for health care systems worldwide. Conflicting results have been reported about the response to coronavirus infection and COVID-19 outcomes in men and women. Understanding predictors of intensive care unit admission might be of help for future planning and management of the disease. METHODS AND FINDINGS: We designed a cross-sectional observational multicenter nationwide survey in Italy to understand gender-related clinical predictors of ICU admission in patients with COVID-19. We analyzed information from 2378 charts of Italian patients certified for COVID-19 admitted in 26 hospitals. Three hundred ninety-five patients (16.6%) required ICU admission due to COVID19 infection, more frequently men (74%), with a higher prevalence of comorbidities (1,78±0,06 vs 1,54±0,03 p<0.05). In multivariable regression model main predictors of admission to ICU are male gender (OR 1,74 95% CI 1,36–2,22 p<0.0001) and presence of obesity (OR 2,88 95% CI 2,03–4,07 p<0.0001), chronic kidney disease (OR: 1,588; 95%, 1,036–2,434 p<0,05) and hypertension (OR: 1,314; 95% 1,039–1,662; p<0,05). In gender specific analysis, obesity, chronic kidney disease and hypertension are associated with higher rate of admission to ICU among men, whereas in women, obesity (OR: 2,564; 95% CI 1,336–4.920 p<0.0001) and heart failure (OR: 1,775 95% CI: 1,030–3,057) are associated with higher rate of ICU admission. CONCLUSIONS: Our study demonstrates that gender is the primary determinant of the disease’s severity among COVID-19. Obesity is the condition more often observed among those admitted to ICU within both genders. TRIAL REGISTRATION: Clinicaltrials.gov: NCT04331574. Public Library of Science 2020-10-06 /pmc/articles/PMC7537902/ /pubmed/33022004 http://dx.doi.org/10.1371/journal.pone.0237297 Text en © 2020 Iaccarino et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Iaccarino, Guido Grassi, Guido Borghi, Claudio Carugo, Stefano Fallo, Francesco Ferri, Claudio Giannattasio, Cristina Grassi, Davide Letizia, Claudio Mancusi, Costantino Minuz, Pietro Perlini, Stefano Pucci, Giacomo Rizzoni, Damiano Salvetti, Massimo Sarzani, Riccardo Sechi, Leonardo Veglio, Franco Volpe, Massimo Muiesan, Maria Lorenza Gender differences in predictors of intensive care units admission among COVID-19 patients: The results of the SARS-RAS study of the Italian Society of Hypertension |
title | Gender differences in predictors of intensive care units admission among COVID-19 patients: The results of the SARS-RAS study of the Italian Society of Hypertension |
title_full | Gender differences in predictors of intensive care units admission among COVID-19 patients: The results of the SARS-RAS study of the Italian Society of Hypertension |
title_fullStr | Gender differences in predictors of intensive care units admission among COVID-19 patients: The results of the SARS-RAS study of the Italian Society of Hypertension |
title_full_unstemmed | Gender differences in predictors of intensive care units admission among COVID-19 patients: The results of the SARS-RAS study of the Italian Society of Hypertension |
title_short | Gender differences in predictors of intensive care units admission among COVID-19 patients: The results of the SARS-RAS study of the Italian Society of Hypertension |
title_sort | gender differences in predictors of intensive care units admission among covid-19 patients: the results of the sars-ras study of the italian society of hypertension |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7537902/ https://www.ncbi.nlm.nih.gov/pubmed/33022004 http://dx.doi.org/10.1371/journal.pone.0237297 |
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