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Age-Related Risk Factors and Complications of Patients With COVID-19: A Population-Based Retrospective Study

Objective: To study the differences in clinical characteristics, risk factors, and complications across age-groups among the inpatients with the coronavirus disease 2019 (COVID-19). Methods: In this population-based retrospective study, we included all the positive hospitalized patients with COVID-1...

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Autores principales: Zhang, Han, Wu, Yingying, He, Yuqing, Liu, Xingyuan, Liu, Mingqian, Tang, Yuhong, Li, Xiaohua, Yang, Guang, Liang, Gang, Xu, Shabei, Wang, Minghuan, Wang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786909/
https://www.ncbi.nlm.nih.gov/pubmed/35087843
http://dx.doi.org/10.3389/fmed.2021.757459
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author Zhang, Han
Wu, Yingying
He, Yuqing
Liu, Xingyuan
Liu, Mingqian
Tang, Yuhong
Li, Xiaohua
Yang, Guang
Liang, Gang
Xu, Shabei
Wang, Minghuan
Wang, Wei
author_facet Zhang, Han
Wu, Yingying
He, Yuqing
Liu, Xingyuan
Liu, Mingqian
Tang, Yuhong
Li, Xiaohua
Yang, Guang
Liang, Gang
Xu, Shabei
Wang, Minghuan
Wang, Wei
author_sort Zhang, Han
collection PubMed
description Objective: To study the differences in clinical characteristics, risk factors, and complications across age-groups among the inpatients with the coronavirus disease 2019 (COVID-19). Methods: In this population-based retrospective study, we included all the positive hospitalized patients with COVID-19 at Wuhan City from December 29, 2019 to April 15, 2020, during the first pandemic wave. Multivariate logistic regression analyses were used to explore the risk factors for death from COVID-19. Canonical correlation analysis (CCA) was performed to study the associations between comorbidities and complications. Results: There are 36,358 patients in the final cohort, of whom 2,492 (6.85%) died. Greater age (odds ration [OR] = 1.061 [95% CI 1.057–1.065], p < 0.001), male gender (OR = 1.726 [95% CI 1.582–1.885], p < 0.001), alcohol consumption (OR = 1.558 [95% CI 1.355–1.786], p < 0.001), smoking (OR = 1.326 [95% CI 1.055–1.652], p = 0.014), hypertension (OR = 1.175 [95% CI 1.067–1.293], p = 0.001), diabetes (OR = 1.258 [95% CI 1.118–1.413], p < 0.001), cancer (OR = 1.86 [95% CI 1.507–2.279], p < 0.001), chronic kidney disease (CKD) (OR = 1.745 [95% CI 1.427–2.12], p < 0.001), and intracerebral hemorrhage (ICH) (OR = 1.96 [95% CI 1.323–2.846], p = 0.001) were independent risk factors for death from COVID-19. Patients aged 40–80 years make up the majority of the whole patients, and them had similar risk factors with the whole patients. For patients aged <40 years, only cancer (OR = 17.112 [95% CI 6.264–39.73], p < 0.001) and ICH (OR = 31.538 [95% CI 5.213–158.787], p < 0.001) were significantly associated with higher odds of death. For patients aged >80 years, only age (OR = 1.033 [95% CI 1.008–1.059], p = 0.01) and male gender (OR = 1.585 [95% CI 1.301–1.933], p < 0.001) were associated with higher odds of death. The incidence of most complications increases with age, but arrhythmias, gastrointestinal bleeding, and sepsis were more common in younger deceased patients with COVID-19, with only arrhythmia reaching statistical difference (p = 0.039). We found a relatively poor correlation between preexisting risk factors and complications. Conclusions: Coronavirus disease 2019 are disproportionally affected by age for its clinical manifestations, risk factors, complications, and outcomes. Prior complications have little effect on the incidence of extrapulmonary complications.
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spelling pubmed-87869092022-01-26 Age-Related Risk Factors and Complications of Patients With COVID-19: A Population-Based Retrospective Study Zhang, Han Wu, Yingying He, Yuqing Liu, Xingyuan Liu, Mingqian Tang, Yuhong Li, Xiaohua Yang, Guang Liang, Gang Xu, Shabei Wang, Minghuan Wang, Wei Front Med (Lausanne) Medicine Objective: To study the differences in clinical characteristics, risk factors, and complications across age-groups among the inpatients with the coronavirus disease 2019 (COVID-19). Methods: In this population-based retrospective study, we included all the positive hospitalized patients with COVID-19 at Wuhan City from December 29, 2019 to April 15, 2020, during the first pandemic wave. Multivariate logistic regression analyses were used to explore the risk factors for death from COVID-19. Canonical correlation analysis (CCA) was performed to study the associations between comorbidities and complications. Results: There are 36,358 patients in the final cohort, of whom 2,492 (6.85%) died. Greater age (odds ration [OR] = 1.061 [95% CI 1.057–1.065], p < 0.001), male gender (OR = 1.726 [95% CI 1.582–1.885], p < 0.001), alcohol consumption (OR = 1.558 [95% CI 1.355–1.786], p < 0.001), smoking (OR = 1.326 [95% CI 1.055–1.652], p = 0.014), hypertension (OR = 1.175 [95% CI 1.067–1.293], p = 0.001), diabetes (OR = 1.258 [95% CI 1.118–1.413], p < 0.001), cancer (OR = 1.86 [95% CI 1.507–2.279], p < 0.001), chronic kidney disease (CKD) (OR = 1.745 [95% CI 1.427–2.12], p < 0.001), and intracerebral hemorrhage (ICH) (OR = 1.96 [95% CI 1.323–2.846], p = 0.001) were independent risk factors for death from COVID-19. Patients aged 40–80 years make up the majority of the whole patients, and them had similar risk factors with the whole patients. For patients aged <40 years, only cancer (OR = 17.112 [95% CI 6.264–39.73], p < 0.001) and ICH (OR = 31.538 [95% CI 5.213–158.787], p < 0.001) were significantly associated with higher odds of death. For patients aged >80 years, only age (OR = 1.033 [95% CI 1.008–1.059], p = 0.01) and male gender (OR = 1.585 [95% CI 1.301–1.933], p < 0.001) were associated with higher odds of death. The incidence of most complications increases with age, but arrhythmias, gastrointestinal bleeding, and sepsis were more common in younger deceased patients with COVID-19, with only arrhythmia reaching statistical difference (p = 0.039). We found a relatively poor correlation between preexisting risk factors and complications. Conclusions: Coronavirus disease 2019 are disproportionally affected by age for its clinical manifestations, risk factors, complications, and outcomes. Prior complications have little effect on the incidence of extrapulmonary complications. Frontiers Media S.A. 2022-01-11 /pmc/articles/PMC8786909/ /pubmed/35087843 http://dx.doi.org/10.3389/fmed.2021.757459 Text en Copyright © 2022 Zhang, Wu, He, Liu, Liu, Tang, Li, Yang, Liang, Xu, Wang and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Zhang, Han
Wu, Yingying
He, Yuqing
Liu, Xingyuan
Liu, Mingqian
Tang, Yuhong
Li, Xiaohua
Yang, Guang
Liang, Gang
Xu, Shabei
Wang, Minghuan
Wang, Wei
Age-Related Risk Factors and Complications of Patients With COVID-19: A Population-Based Retrospective Study
title Age-Related Risk Factors and Complications of Patients With COVID-19: A Population-Based Retrospective Study
title_full Age-Related Risk Factors and Complications of Patients With COVID-19: A Population-Based Retrospective Study
title_fullStr Age-Related Risk Factors and Complications of Patients With COVID-19: A Population-Based Retrospective Study
title_full_unstemmed Age-Related Risk Factors and Complications of Patients With COVID-19: A Population-Based Retrospective Study
title_short Age-Related Risk Factors and Complications of Patients With COVID-19: A Population-Based Retrospective Study
title_sort age-related risk factors and complications of patients with covid-19: a population-based retrospective study
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786909/
https://www.ncbi.nlm.nih.gov/pubmed/35087843
http://dx.doi.org/10.3389/fmed.2021.757459
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