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Chronic diseases associated with increased likelihood of hospitalization and mortality in 68,913 COVID-19 confirmed cases in Spain: A population-based cohort study
BACKGROUND: Clinical outcomes among COVID-19 patients vary greatly with age and underlying comorbidities. We aimed to determine the demographic and clinical factors, particularly baseline chronic conditions, associated with an increased risk of severity in COVID-19 patients from a population-based p...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8589220/ https://www.ncbi.nlm.nih.gov/pubmed/34767594 http://dx.doi.org/10.1371/journal.pone.0259822 |
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author | Gimeno-Miguel, Antonio Bliek-Bueno, Kevin Poblador-Plou, Beatriz Carmona-Pírez, Jonás Poncel-Falcó, Antonio González-Rubio, Francisca Ioakeim-Skoufa, Ignatios Pico-Soler, Victoria Aza-Pascual-Salcedo, Mercedes Prados-Torres, Alexandra Gimeno-Feliu, Luis Andrés |
author_facet | Gimeno-Miguel, Antonio Bliek-Bueno, Kevin Poblador-Plou, Beatriz Carmona-Pírez, Jonás Poncel-Falcó, Antonio González-Rubio, Francisca Ioakeim-Skoufa, Ignatios Pico-Soler, Victoria Aza-Pascual-Salcedo, Mercedes Prados-Torres, Alexandra Gimeno-Feliu, Luis Andrés |
author_sort | Gimeno-Miguel, Antonio |
collection | PubMed |
description | BACKGROUND: Clinical outcomes among COVID-19 patients vary greatly with age and underlying comorbidities. We aimed to determine the demographic and clinical factors, particularly baseline chronic conditions, associated with an increased risk of severity in COVID-19 patients from a population-based perspective and using data from electronic health records (EHR). METHODS: Retrospective, observational study in an open cohort analyzing all 68,913 individuals (mean age 44.4 years, 53.2% women) with SARS-CoV-2 infection between 15 June and 19 December 2020 using exhaustive electronic health registries. Patients were followed for 30 days from inclusion or until the date of death within that period. We performed multivariate logistic regression to analyze the association between each chronic disease and severe infection, based on hospitalization and all-cause mortality. RESULTS: 5885 (8.5%) individuals showed severe infection and old age was the most influencing factor. Congestive heart failure (odds ratio -OR- men: 1.28, OR women: 1.39), diabetes (1.37, 1.24), chronic renal failure (1.31, 1.22) and obesity (1.21, 1.26) increased the likelihood of severe infection in both sexes. Chronic skin ulcers (1.32), acute cerebrovascular disease (1.34), chronic obstructive pulmonary disease (1.21), urinary incontinence (1.17) and neoplasms (1.26) in men, and infertility (1.87), obstructive sleep apnea (1.43), hepatic steatosis (1.43), rheumatoid arthritis (1.39) and menstrual disorders (1.18) in women were also associated with more severe outcomes. CONCLUSIONS: Age and specific cardiovascular and metabolic diseases increased the risk of severe SARS-CoV-2 infections in men and women, whereas the effects of certain comorbidities are sex specific. Future studies in different settings are encouraged to analyze which profiles of chronic patients are at higher risk of poor prognosis and should therefore be the targets of prevention and shielding strategies. |
format | Online Article Text |
id | pubmed-8589220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-85892202021-11-13 Chronic diseases associated with increased likelihood of hospitalization and mortality in 68,913 COVID-19 confirmed cases in Spain: A population-based cohort study Gimeno-Miguel, Antonio Bliek-Bueno, Kevin Poblador-Plou, Beatriz Carmona-Pírez, Jonás Poncel-Falcó, Antonio González-Rubio, Francisca Ioakeim-Skoufa, Ignatios Pico-Soler, Victoria Aza-Pascual-Salcedo, Mercedes Prados-Torres, Alexandra Gimeno-Feliu, Luis Andrés PLoS One Research Article BACKGROUND: Clinical outcomes among COVID-19 patients vary greatly with age and underlying comorbidities. We aimed to determine the demographic and clinical factors, particularly baseline chronic conditions, associated with an increased risk of severity in COVID-19 patients from a population-based perspective and using data from electronic health records (EHR). METHODS: Retrospective, observational study in an open cohort analyzing all 68,913 individuals (mean age 44.4 years, 53.2% women) with SARS-CoV-2 infection between 15 June and 19 December 2020 using exhaustive electronic health registries. Patients were followed for 30 days from inclusion or until the date of death within that period. We performed multivariate logistic regression to analyze the association between each chronic disease and severe infection, based on hospitalization and all-cause mortality. RESULTS: 5885 (8.5%) individuals showed severe infection and old age was the most influencing factor. Congestive heart failure (odds ratio -OR- men: 1.28, OR women: 1.39), diabetes (1.37, 1.24), chronic renal failure (1.31, 1.22) and obesity (1.21, 1.26) increased the likelihood of severe infection in both sexes. Chronic skin ulcers (1.32), acute cerebrovascular disease (1.34), chronic obstructive pulmonary disease (1.21), urinary incontinence (1.17) and neoplasms (1.26) in men, and infertility (1.87), obstructive sleep apnea (1.43), hepatic steatosis (1.43), rheumatoid arthritis (1.39) and menstrual disorders (1.18) in women were also associated with more severe outcomes. CONCLUSIONS: Age and specific cardiovascular and metabolic diseases increased the risk of severe SARS-CoV-2 infections in men and women, whereas the effects of certain comorbidities are sex specific. Future studies in different settings are encouraged to analyze which profiles of chronic patients are at higher risk of poor prognosis and should therefore be the targets of prevention and shielding strategies. Public Library of Science 2021-11-12 /pmc/articles/PMC8589220/ /pubmed/34767594 http://dx.doi.org/10.1371/journal.pone.0259822 Text en © 2021 Gimeno-Miguel et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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 Gimeno-Miguel, Antonio Bliek-Bueno, Kevin Poblador-Plou, Beatriz Carmona-Pírez, Jonás Poncel-Falcó, Antonio González-Rubio, Francisca Ioakeim-Skoufa, Ignatios Pico-Soler, Victoria Aza-Pascual-Salcedo, Mercedes Prados-Torres, Alexandra Gimeno-Feliu, Luis Andrés Chronic diseases associated with increased likelihood of hospitalization and mortality in 68,913 COVID-19 confirmed cases in Spain: A population-based cohort study |
title | Chronic diseases associated with increased likelihood of hospitalization and mortality in 68,913 COVID-19 confirmed cases in Spain: A population-based cohort study |
title_full | Chronic diseases associated with increased likelihood of hospitalization and mortality in 68,913 COVID-19 confirmed cases in Spain: A population-based cohort study |
title_fullStr | Chronic diseases associated with increased likelihood of hospitalization and mortality in 68,913 COVID-19 confirmed cases in Spain: A population-based cohort study |
title_full_unstemmed | Chronic diseases associated with increased likelihood of hospitalization and mortality in 68,913 COVID-19 confirmed cases in Spain: A population-based cohort study |
title_short | Chronic diseases associated with increased likelihood of hospitalization and mortality in 68,913 COVID-19 confirmed cases in Spain: A population-based cohort study |
title_sort | chronic diseases associated with increased likelihood of hospitalization and mortality in 68,913 covid-19 confirmed cases in spain: a population-based cohort study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8589220/ https://www.ncbi.nlm.nih.gov/pubmed/34767594 http://dx.doi.org/10.1371/journal.pone.0259822 |
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