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Epidemiological characteristics and mortality risk factors among COVID-19 patients in Ardabil, Northwest of Iran

BACKGROUND: Coronavirus disease highly contagious, is prevalent in all age and sex groups infecting the respiratory system. The present study seeks to investigate the epidemiology and effective factors in mortality of patients with COVID-19 in Ardabil province, northwestern Iran. METHODS: In a retro...

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Autores principales: Adham, Davoud, Habibzadeh, Shahram, Ghobadi, Hassan, Jajin, Shabnam Asghari, Abbasi-Ghahramanloo, Abbas, Moradi-Asl, Eslam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8170426/
https://www.ncbi.nlm.nih.gov/pubmed/34078273
http://dx.doi.org/10.1186/s12873-021-00463-x
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author Adham, Davoud
Habibzadeh, Shahram
Ghobadi, Hassan
Jajin, Shabnam Asghari
Abbasi-Ghahramanloo, Abbas
Moradi-Asl, Eslam
author_facet Adham, Davoud
Habibzadeh, Shahram
Ghobadi, Hassan
Jajin, Shabnam Asghari
Abbasi-Ghahramanloo, Abbas
Moradi-Asl, Eslam
author_sort Adham, Davoud
collection PubMed
description BACKGROUND: Coronavirus disease highly contagious, is prevalent in all age and sex groups infecting the respiratory system. The present study seeks to investigate the epidemiology and effective factors in mortality of patients with COVID-19 in Ardabil province, northwestern Iran. METHODS: In a retrospective study, the hospitalized patients with laboratory-diagnosed COVID-19 between February to August 2020 were enrolled. The data registration portal was designated according to Iranian Ministry of Health and Medical Education guidelines. In this portal, demographic information, clinical presentation, laboratory and imaging data were registered for patients in all hospitals in the same format. The Hosmer-Lemeshow strategy was used for variable selection in a multiple model. RESULTS: Of the patients involved 2812(50.3%) were male and 150 (2.7%) had contact with a confirmed case of COVID-19 in the last 14 days. Pre-existing comorbidity was reported in 1310 (23.4%) patients. Of all patients, 477(8.5%) died due to COVID-19. the result of the multiple logistic regression model indicated that after adjusting for other factors, higher age (OR = 3.11), fever or chills (OR = 1.61), shortness of breath (OR = 1.82), fatigue (OR = 0.71), headache (OR = 0.64), runny nose (OR = 1.54), Skeletal muscle pain (OR = 1.53), hospitalization (OR = 5.66), and hospitalization in ICU (OR = 5.12) were associated with death. CONCLUSIONS: Hospitalization had the strongest effect on mortality followed by hospitalization in ICU, and higher age. This study showed that having some extra-pulmonary symptoms in contrast with pulmonary symptoms can predict as good prognostic factors.
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spelling pubmed-81704262021-06-02 Epidemiological characteristics and mortality risk factors among COVID-19 patients in Ardabil, Northwest of Iran Adham, Davoud Habibzadeh, Shahram Ghobadi, Hassan Jajin, Shabnam Asghari Abbasi-Ghahramanloo, Abbas Moradi-Asl, Eslam BMC Emerg Med Research Article BACKGROUND: Coronavirus disease highly contagious, is prevalent in all age and sex groups infecting the respiratory system. The present study seeks to investigate the epidemiology and effective factors in mortality of patients with COVID-19 in Ardabil province, northwestern Iran. METHODS: In a retrospective study, the hospitalized patients with laboratory-diagnosed COVID-19 between February to August 2020 were enrolled. The data registration portal was designated according to Iranian Ministry of Health and Medical Education guidelines. In this portal, demographic information, clinical presentation, laboratory and imaging data were registered for patients in all hospitals in the same format. The Hosmer-Lemeshow strategy was used for variable selection in a multiple model. RESULTS: Of the patients involved 2812(50.3%) were male and 150 (2.7%) had contact with a confirmed case of COVID-19 in the last 14 days. Pre-existing comorbidity was reported in 1310 (23.4%) patients. Of all patients, 477(8.5%) died due to COVID-19. the result of the multiple logistic regression model indicated that after adjusting for other factors, higher age (OR = 3.11), fever or chills (OR = 1.61), shortness of breath (OR = 1.82), fatigue (OR = 0.71), headache (OR = 0.64), runny nose (OR = 1.54), Skeletal muscle pain (OR = 1.53), hospitalization (OR = 5.66), and hospitalization in ICU (OR = 5.12) were associated with death. CONCLUSIONS: Hospitalization had the strongest effect on mortality followed by hospitalization in ICU, and higher age. This study showed that having some extra-pulmonary symptoms in contrast with pulmonary symptoms can predict as good prognostic factors. BioMed Central 2021-06-02 /pmc/articles/PMC8170426/ /pubmed/34078273 http://dx.doi.org/10.1186/s12873-021-00463-x 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/) . 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 Article
Adham, Davoud
Habibzadeh, Shahram
Ghobadi, Hassan
Jajin, Shabnam Asghari
Abbasi-Ghahramanloo, Abbas
Moradi-Asl, Eslam
Epidemiological characteristics and mortality risk factors among COVID-19 patients in Ardabil, Northwest of Iran
title Epidemiological characteristics and mortality risk factors among COVID-19 patients in Ardabil, Northwest of Iran
title_full Epidemiological characteristics and mortality risk factors among COVID-19 patients in Ardabil, Northwest of Iran
title_fullStr Epidemiological characteristics and mortality risk factors among COVID-19 patients in Ardabil, Northwest of Iran
title_full_unstemmed Epidemiological characteristics and mortality risk factors among COVID-19 patients in Ardabil, Northwest of Iran
title_short Epidemiological characteristics and mortality risk factors among COVID-19 patients in Ardabil, Northwest of Iran
title_sort epidemiological characteristics and mortality risk factors among covid-19 patients in ardabil, northwest of iran
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8170426/
https://www.ncbi.nlm.nih.gov/pubmed/34078273
http://dx.doi.org/10.1186/s12873-021-00463-x
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