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Risk Factors for SARS-CoV-2 Infection Severity in Abu Dhabi

BACKGROUND: Prediction models are essential for informing screening, assessing prognosis, and examining options for treatment. This study aimed to assess the risk of SARS-CoV-2 infection severity in the Abu Dhabi population. METHODS: This is a mixed retrospective cohort study and case–control study...

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Autores principales: Baynouna AlKetbi, Latifa Mohammad, Nagelkerke, Nico, Abdelbaqi, Hanan, ALBlooshi, Fatima, AlSaedi, Mariam, Almansoori, Shamsa, AlNuaimi, Ruqaya, AlKhoori, Amal, AlAryani, Aysha, AlShamsi, Mariam, Kayani, Fatima, Alblooshi, Noura, AlKhajeh, Shamma, AlFalahi, Jehan, AlAmeri, Sumaya, AlDhahei, Saeed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8381146/
https://www.ncbi.nlm.nih.gov/pubmed/34734381
http://dx.doi.org/10.1007/s44197-021-00006-4
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author Baynouna AlKetbi, Latifa Mohammad
Nagelkerke, Nico
Abdelbaqi, Hanan
ALBlooshi, Fatima
AlSaedi, Mariam
Almansoori, Shamsa
AlNuaimi, Ruqaya
AlKhoori, Amal
AlAryani, Aysha
AlShamsi, Mariam
Kayani, Fatima
Alblooshi, Noura
AlKhajeh, Shamma
AlFalahi, Jehan
AlAmeri, Sumaya
AlDhahei, Saeed
author_facet Baynouna AlKetbi, Latifa Mohammad
Nagelkerke, Nico
Abdelbaqi, Hanan
ALBlooshi, Fatima
AlSaedi, Mariam
Almansoori, Shamsa
AlNuaimi, Ruqaya
AlKhoori, Amal
AlAryani, Aysha
AlShamsi, Mariam
Kayani, Fatima
Alblooshi, Noura
AlKhajeh, Shamma
AlFalahi, Jehan
AlAmeri, Sumaya
AlDhahei, Saeed
author_sort Baynouna AlKetbi, Latifa Mohammad
collection PubMed
description BACKGROUND: Prediction models are essential for informing screening, assessing prognosis, and examining options for treatment. This study aimed to assess the risk of SARS-CoV-2 infection severity in the Abu Dhabi population. METHODS: This is a mixed retrospective cohort study and case–control study to explore the associated factors of receiving treatment in the community, being hospitalized, or requiring complex hospital care among patients with a diagnosis of SARS-CoV-2. Of 641 patients included, 266 were hospitalized; 135 were hospitalized and either died or required complex care, i.e., required ICU admission, intubation, or oxygen and 131 did not develop severe disease requiring complex care. The third group (“controls”) were 375 patients who were not hospitalized. Logistic regression analyses were used to study predictors of disease severity. RESULTS: Among hospitalized patients older age and low oxygen saturation at admission were the consistent and strongest predictors of an adverse outcome. Risk factors for the death in addition to age and low oxygen saturation were elevated white blood count and low reported physical activity. Chronic kidney disease and diabetes were also associated with more severe disease in logistic regression. The mortality rate among those with less than 30 min per week of physical activity was 4.9%, while the mortality rate was 0.35% for those with physical activity > 30 min at least once a week. The interval from the onset of symptoms to admission and mortality was found to have a significant inverse relationship, with worse survival for shorter intervals. CONCLUSION: Oxygen saturation is an important measure that should be introduced at screening sites and used in the risk assessment of patients with SARS-CoV-2. In addition, an older age was a consistent factor in all adverse outcomes, and other factors, such as low physical activity, elevated WBC, CKD, and DM, were also identified as risk factors.
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spelling pubmed-83811462021-08-23 Risk Factors for SARS-CoV-2 Infection Severity in Abu Dhabi Baynouna AlKetbi, Latifa Mohammad Nagelkerke, Nico Abdelbaqi, Hanan ALBlooshi, Fatima AlSaedi, Mariam Almansoori, Shamsa AlNuaimi, Ruqaya AlKhoori, Amal AlAryani, Aysha AlShamsi, Mariam Kayani, Fatima Alblooshi, Noura AlKhajeh, Shamma AlFalahi, Jehan AlAmeri, Sumaya AlDhahei, Saeed J Epidemiol Glob Health Research Article BACKGROUND: Prediction models are essential for informing screening, assessing prognosis, and examining options for treatment. This study aimed to assess the risk of SARS-CoV-2 infection severity in the Abu Dhabi population. METHODS: This is a mixed retrospective cohort study and case–control study to explore the associated factors of receiving treatment in the community, being hospitalized, or requiring complex hospital care among patients with a diagnosis of SARS-CoV-2. Of 641 patients included, 266 were hospitalized; 135 were hospitalized and either died or required complex care, i.e., required ICU admission, intubation, or oxygen and 131 did not develop severe disease requiring complex care. The third group (“controls”) were 375 patients who were not hospitalized. Logistic regression analyses were used to study predictors of disease severity. RESULTS: Among hospitalized patients older age and low oxygen saturation at admission were the consistent and strongest predictors of an adverse outcome. Risk factors for the death in addition to age and low oxygen saturation were elevated white blood count and low reported physical activity. Chronic kidney disease and diabetes were also associated with more severe disease in logistic regression. The mortality rate among those with less than 30 min per week of physical activity was 4.9%, while the mortality rate was 0.35% for those with physical activity > 30 min at least once a week. The interval from the onset of symptoms to admission and mortality was found to have a significant inverse relationship, with worse survival for shorter intervals. CONCLUSION: Oxygen saturation is an important measure that should be introduced at screening sites and used in the risk assessment of patients with SARS-CoV-2. In addition, an older age was a consistent factor in all adverse outcomes, and other factors, such as low physical activity, elevated WBC, CKD, and DM, were also identified as risk factors. Springer Netherlands 2021-08-23 /pmc/articles/PMC8381146/ /pubmed/34734381 http://dx.doi.org/10.1007/s44197-021-00006-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Baynouna AlKetbi, Latifa Mohammad
Nagelkerke, Nico
Abdelbaqi, Hanan
ALBlooshi, Fatima
AlSaedi, Mariam
Almansoori, Shamsa
AlNuaimi, Ruqaya
AlKhoori, Amal
AlAryani, Aysha
AlShamsi, Mariam
Kayani, Fatima
Alblooshi, Noura
AlKhajeh, Shamma
AlFalahi, Jehan
AlAmeri, Sumaya
AlDhahei, Saeed
Risk Factors for SARS-CoV-2 Infection Severity in Abu Dhabi
title Risk Factors for SARS-CoV-2 Infection Severity in Abu Dhabi
title_full Risk Factors for SARS-CoV-2 Infection Severity in Abu Dhabi
title_fullStr Risk Factors for SARS-CoV-2 Infection Severity in Abu Dhabi
title_full_unstemmed Risk Factors for SARS-CoV-2 Infection Severity in Abu Dhabi
title_short Risk Factors for SARS-CoV-2 Infection Severity in Abu Dhabi
title_sort risk factors for sars-cov-2 infection severity in abu dhabi
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8381146/
https://www.ncbi.nlm.nih.gov/pubmed/34734381
http://dx.doi.org/10.1007/s44197-021-00006-4
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