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Predictors of critical COVID-19 in an Iranian population: Age and disabilities play a special role

Author(s):
Bidari A.
,
Hassanzadeh M.
,
Naderkhani M.
,
Mesgarha M.G.
,
Mohammad A.P.
,
Azadeh A.
,
Hossein H.
,
Zarei E.
,
Khodadost M.
Source: Medical Journal of the Islamic Republic of Iran
Publisher:
Iran University of Medical Sciences
Date
: 2021
Abstract: Background: Ever since coronavirus disease 2019 (COVID-19) has emerged as a global public health problem, risk factors for severe disease have been reported in studies from Western countries. However, apart from studies of Chinese origin, few reports are available on COVID-19 severity among the Asian population. This study investigates potential risk factors for development of critical COVID-19 in an Iranian population. Methods: In this retrospective cohort study, we included all adults with COVID-19 from 2 tertiary centers in Iran who had been diagnosed between February 20 and April 1, 2020, in either inpatient or outpatient settings. “Critical COVID-19” was proposed when a hospitalized patient was scheduled for admission to intensive care unit, assisted by mechanical ventilation, or pronounced dead. We used univariable and multivariable logistic and linear regression models to explore the potential risk factors associated with critical COVID-19, admission to hospital, and length of hospital stay. Results: Of the 590 recruited patients, 427 (72.4%) were hospitalized, 186 (31.5%) had critical COVID-19, and 107 (18.2%) died. In the multivariable regression analysis, age >60 years and physical/mental disabilities were associated with critical COVID-19 (odds ratio (OR), 2.33 and 7.03; 95% CI, 1.51-3.60 and 2.88-17.13, respectively); and history of renal, heart, or liver failure was associated with both COVID-19 hospitalization (OR, 4.13; 95% CI 1.91-8.95; p<0.001) and length of hospital stay (Beta 1.90; 95% CI, 0.763.04; p=0.001). Conclusion: Age >60 years and physical/mental disabilities can predict development of critical COVID-19 in the Iranian population. Also, the presence of renal, heart, or liver failure might predict both COVID-19 hospitalization and length of hospital stay. © 2021 Iran University of Medical Sciences. All Rights Reserved.
DOI: 10.34171/mjiri.35.94
Keyword(s): Age,COVID-19,Disability,Iran,Prognosis,Risk Factor
Collections :
  • COVID-19
URI: https://vlib.kmu.ac.ir/kmu/handle/kmu/1033878
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contributor authorBidari A.
contributor authorHassanzadeh M.
contributor authorNaderkhani M.
contributor authorMesgarha M.G.
contributor authorMohammad A.P.
contributor authorAzadeh A.
contributor authorHossein H.
contributor authorZarei E.
contributor authorKhodadost M.
date accessioned2021-09-21T04:45:11Z
date available2021-09-21T04:45:11Z
date issued2021
identifier urihttps://vlib.kmu.ac.ir/kmu/handle/kmu/1033878
description abstractBackground: Ever since coronavirus disease 2019 (COVID-19) has emerged as a global public health problem, risk factors for severe disease have been reported in studies from Western countries. However, apart from studies of Chinese origin, few reports are available on COVID-19 severity among the Asian population. This study investigates potential risk factors for development of critical COVID-19 in an Iranian population. Methods: In this retrospective cohort study, we included all adults with COVID-19 from 2 tertiary centers in Iran who had been diagnosed between February 20 and April 1, 2020, in either inpatient or outpatient settings. “Critical COVID-19” was proposed when a hospitalized patient was scheduled for admission to intensive care unit, assisted by mechanical ventilation, or pronounced dead. We used univariable and multivariable logistic and linear regression models to explore the potential risk factors associated with critical COVID-19, admission to hospital, and length of hospital stay. Results: Of the 590 recruited patients, 427 (72.4%) were hospitalized, 186 (31.5%) had critical COVID-19, and 107 (18.2%) died. In the multivariable regression analysis, age >60 years and physical/mental disabilities were associated with critical COVID-19 (odds ratio (OR), 2.33 and 7.03; 95% CI, 1.51-3.60 and 2.88-17.13, respectively); and history of renal, heart, or liver failure was associated with both COVID-19 hospitalization (OR, 4.13; 95% CI 1.91-8.95; p<0.001) and length of hospital stay (Beta 1.90; 95% CI, 0.763.04; p=0.001). Conclusion: Age >60 years and physical/mental disabilities can predict development of critical COVID-19 in the Iranian population. Also, the presence of renal, heart, or liver failure might predict both COVID-19 hospitalization and length of hospital stay. © 2021 Iran University of Medical Sciences. All Rights Reserved.
languageEnglish
publisherIran University of Medical Sciences
subject otherCOVID-19
titlePredictors of critical COVID-19 in an Iranian population: Age and disabilities play a special role
typeArticle
contenttypeMetadata Only
subject keywordsAge
subject keywordsCOVID-19
subject keywordsDisability
subject keywordsIran
subject keywordsPrognosis
subject keywordsRisk Factor
journal titleMedical Journal of the Islamic Republic of Iran
identifier doi10.34171/mjiri.35.94
identifier linkhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85107446919&doi=10.34171%2fmjiri.35.94&partnerID=40&md5=686cc4adfc12eb05bd7ef6469c294314
address authorBidari, A., Department of Rheumatology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran; Hassanzadeh, M., Department of Internal Medicine, School of Medicine, Iran University of Medical Sciences, Tehran, Iran; Naderkhani, M., Emergency Medicine Management Research Center, Iran University of Medical Sciences, Tehran, Iran; Mesgarha, M.G., School of Medicine, Iran University of Medical Sciences, Tehran, Iran; Mohammad, A.P., Student Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran; Azadeh, A., School of Medicine, Iran University of Medical Sciences, Tehran, Iran; Hossein, H., Physiology Research Center, School of Medicine, Iran University of Medical Sciences, Tehran, Iran; Zarei, E., Ali-Asghar Children Hospital, Department of Radiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran; Khodadost, M., Department of Epidemiology, School of Public Health, Larestan University of Medical Sciences, Larestan, Iran, Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
databaseScopus
affiliationsDepartment of Rheumatology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran; Department of Internal Medicine, School of Medicine, Iran University of Medical Sciences, Tehran, Iran; Emergency Medicine Management Research Center, Iran University of Medical Sciences, Tehran, Iran; School of Medicine, Iran University of Medical Sciences, Tehran, Iran; Student Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran; Physiology Research Center, School of Medicine, Iran University of Medical Sciences, Tehran, Iran; Ali-Asghar Children Hospital, Department of Radiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran; Department of Epidemiology, School of Public Health, Larestan University of Medical Sciences, Larestan, Iran; Department of Epidemiology, School of Public Health, Iran University of Medical Sciences, Tehran, Iran

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  • Central Library and Documentation Center of the University of Medical Sciences

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Related links

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Statistics

  • Visit Today:6
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نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
DSpace software copyright © 2020  DuraSpace