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The prevalence and contributing risk factors of coronavirus disease 2019 infection in patients with metabolic syndrome

BACKGROUND: Components of metabolic syndrome (MetS) was reported to contribute to severe and worse outcomes of coronavirus disease 2019 (COVID-19). Hereby, we evaluated the association of MetS and its components with susceptibility to COVID-19. METHODS: Here, 1000 subjects with MetS were recruited t...

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Autores principales: Bagheri-Hosseinabadi, Zahra, Moadab, Fatemeh, Amiri, Ali, Abbasifard, Mitra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157563/
https://www.ncbi.nlm.nih.gov/pubmed/37142990
http://dx.doi.org/10.1186/s12902-023-01351-0
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author Bagheri-Hosseinabadi, Zahra
Moadab, Fatemeh
Amiri, Ali
Abbasifard, Mitra
author_facet Bagheri-Hosseinabadi, Zahra
Moadab, Fatemeh
Amiri, Ali
Abbasifard, Mitra
author_sort Bagheri-Hosseinabadi, Zahra
collection PubMed
description BACKGROUND: Components of metabolic syndrome (MetS) was reported to contribute to severe and worse outcomes of coronavirus disease 2019 (COVID-19). Hereby, we evaluated the association of MetS and its components with susceptibility to COVID-19. METHODS: Here, 1000 subjects with MetS were recruited that were diagnosed via the International Diabetes Federation (IDF) criterion. Real-time PCR was exerted to detect SARS-CoV-2 in the nasopharyngeal swabs. RESULTS: Among the MetS patients, 206 (20.6%) cases were detected to have COVID-19. Smoking (OR = 5.04, 95%CI = 3.53–7.21, P < 0.0001) and CVD (OR = 1.62, 95%CI = 1.09–2.40, P = 0.015) were associated with increased chance of COVID-19 infection in the MetS patients. BMI was significantly higher (P = 0.0001) in MetS cases with COVID-19 than those without COVID-19. Obesity was associated with increased susceptibility to COVID-19 in MetS patients (OR = 2.00, 95%CI = 1.47–2.74, P < 0.0001). Total cholesterol, TG, LDL were significantly higher in the MetS cases with COVID-19 than those without COVID-19. Dyslipidemia was associated with increased chance of COVID-19 (OR = 1.50, 95%CI = 1.10–2.05, P = 0.0104). FBS level was significantly higher in the MetS cases with COVID-19. T2DM was associated with increased risk of COVID-19 in MetS patients (OR = 1.43, 95%CI = 1.01-2.00, P = 0.0384). Hypertension was associated with increased chance of COVID-19 in the MetS patients (OR = 1.44, 95%CI = 1.05–1.98, P = 0.0234). CONCLUSIONS: MetS and its components, like obesity, diabetes, dyslipidemia, cardiovascular complications were associated with increased chance of COVID-19 infection development and probably with aggravated symptoms in such patients.
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spelling pubmed-101575632023-05-05 The prevalence and contributing risk factors of coronavirus disease 2019 infection in patients with metabolic syndrome Bagheri-Hosseinabadi, Zahra Moadab, Fatemeh Amiri, Ali Abbasifard, Mitra BMC Endocr Disord Research BACKGROUND: Components of metabolic syndrome (MetS) was reported to contribute to severe and worse outcomes of coronavirus disease 2019 (COVID-19). Hereby, we evaluated the association of MetS and its components with susceptibility to COVID-19. METHODS: Here, 1000 subjects with MetS were recruited that were diagnosed via the International Diabetes Federation (IDF) criterion. Real-time PCR was exerted to detect SARS-CoV-2 in the nasopharyngeal swabs. RESULTS: Among the MetS patients, 206 (20.6%) cases were detected to have COVID-19. Smoking (OR = 5.04, 95%CI = 3.53–7.21, P < 0.0001) and CVD (OR = 1.62, 95%CI = 1.09–2.40, P = 0.015) were associated with increased chance of COVID-19 infection in the MetS patients. BMI was significantly higher (P = 0.0001) in MetS cases with COVID-19 than those without COVID-19. Obesity was associated with increased susceptibility to COVID-19 in MetS patients (OR = 2.00, 95%CI = 1.47–2.74, P < 0.0001). Total cholesterol, TG, LDL were significantly higher in the MetS cases with COVID-19 than those without COVID-19. Dyslipidemia was associated with increased chance of COVID-19 (OR = 1.50, 95%CI = 1.10–2.05, P = 0.0104). FBS level was significantly higher in the MetS cases with COVID-19. T2DM was associated with increased risk of COVID-19 in MetS patients (OR = 1.43, 95%CI = 1.01-2.00, P = 0.0384). Hypertension was associated with increased chance of COVID-19 in the MetS patients (OR = 1.44, 95%CI = 1.05–1.98, P = 0.0234). CONCLUSIONS: MetS and its components, like obesity, diabetes, dyslipidemia, cardiovascular complications were associated with increased chance of COVID-19 infection development and probably with aggravated symptoms in such patients. BioMed Central 2023-05-04 /pmc/articles/PMC10157563/ /pubmed/37142990 http://dx.doi.org/10.1186/s12902-023-01351-0 Text en © The Author(s) 2023 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Bagheri-Hosseinabadi, Zahra
Moadab, Fatemeh
Amiri, Ali
Abbasifard, Mitra
The prevalence and contributing risk factors of coronavirus disease 2019 infection in patients with metabolic syndrome
title The prevalence and contributing risk factors of coronavirus disease 2019 infection in patients with metabolic syndrome
title_full The prevalence and contributing risk factors of coronavirus disease 2019 infection in patients with metabolic syndrome
title_fullStr The prevalence and contributing risk factors of coronavirus disease 2019 infection in patients with metabolic syndrome
title_full_unstemmed The prevalence and contributing risk factors of coronavirus disease 2019 infection in patients with metabolic syndrome
title_short The prevalence and contributing risk factors of coronavirus disease 2019 infection in patients with metabolic syndrome
title_sort prevalence and contributing risk factors of coronavirus disease 2019 infection in patients with metabolic syndrome
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157563/
https://www.ncbi.nlm.nih.gov/pubmed/37142990
http://dx.doi.org/10.1186/s12902-023-01351-0
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