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Intensive care unit admission and associated factors in patients hospitalised for COVID-19: A national retrospective cohort study in Iran

OBJECTIVES: This study aimed to determine factors associated with intensive care unit (ICU) admission in patients hospitalised due to COVID-19. DESIGN: Retrospective cohort. SETTING: Confirmed hospitalised patients from all over Iran were considered for the study. PARTICIPANTS: All patients with COV...

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Autores principales: Izadi, Neda, Shahbazi, Fatemeh, Mokhayeri, Yaser, Seifi, Arash, Taherpour, Niloufar, Mehri, Ahmad, Fallah, Saeid, Sotoodeh Ghorbani, Sahar, Farhadi-Babadi, Kosar, Taherian, Mohammad Reza, Rahimi, Elham, Etemed, Koorosh, Hashemi Nazari, Seyed Saeed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445395/
https://www.ncbi.nlm.nih.gov/pubmed/37607784
http://dx.doi.org/10.1136/bmjopen-2022-070547
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author Izadi, Neda
Shahbazi, Fatemeh
Mokhayeri, Yaser
Seifi, Arash
Taherpour, Niloufar
Mehri, Ahmad
Fallah, Saeid
Sotoodeh Ghorbani, Sahar
Farhadi-Babadi, Kosar
Taherian, Mohammad Reza
Rahimi, Elham
Etemed, Koorosh
Hashemi Nazari, Seyed Saeed
author_facet Izadi, Neda
Shahbazi, Fatemeh
Mokhayeri, Yaser
Seifi, Arash
Taherpour, Niloufar
Mehri, Ahmad
Fallah, Saeid
Sotoodeh Ghorbani, Sahar
Farhadi-Babadi, Kosar
Taherian, Mohammad Reza
Rahimi, Elham
Etemed, Koorosh
Hashemi Nazari, Seyed Saeed
author_sort Izadi, Neda
collection PubMed
description OBJECTIVES: This study aimed to determine factors associated with intensive care unit (ICU) admission in patients hospitalised due to COVID-19. DESIGN: Retrospective cohort. SETTING: Confirmed hospitalised patients from all over Iran were considered for the study. PARTICIPANTS: All patients with COVID-19 admitted to the hospital from March 2020 to May 2021 were included by census. ICU admission was defined by the following criteria: (1) admission to the ICU ward; (2) level of consciousness (loss of consciousness); and (3) use of invasive ventilation. METHODS: This is a secondary data analysis from the Medical Care Monitoring Center. The association between different variables and ICU admission was assessed by forward Logistic regression and restricted cubic spline method. RESULTS: The mean age of the 1 469 620 patients with COVID-19 was 54.49±20.58 years old, and 51.32% of the patients were male. The prevalence of ICU admission was 19.19%. The mean age of patients admitted to the ICU was higher than that of other hospitalised patients (62.49±19.73 vs 52.59±20.31 years). The prevalence of ICU admission was 17.17% in the first, 21.52% in the second, 19.72% in the third, 21.43 in the fourth and 17.4% in the fifth wave. In the multivariable model, age groups, sex, waves of the epidemic, comorbidities and saturation of peripheral oxygen (SpO(2)) <93% and acute respiratory distress syndrome (ARDS) were associated with an increased odds of ICU admission. The OR for ICU admission indicates a significant protective effect at a young age and then a significant risk factor for admission to the ICU ward at an old age. CONCLUSIONS: Men, older adults, people who suffer from ARDS, patients with SpO(2) levels of less than 93% and cases with comorbidities had the highest odds of ICU admission. Therefore, these groups should take all necessary precautions to avoid contracting COVID-19.
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spelling pubmed-104453952023-08-24 Intensive care unit admission and associated factors in patients hospitalised for COVID-19: A national retrospective cohort study in Iran Izadi, Neda Shahbazi, Fatemeh Mokhayeri, Yaser Seifi, Arash Taherpour, Niloufar Mehri, Ahmad Fallah, Saeid Sotoodeh Ghorbani, Sahar Farhadi-Babadi, Kosar Taherian, Mohammad Reza Rahimi, Elham Etemed, Koorosh Hashemi Nazari, Seyed Saeed BMJ Open Epidemiology OBJECTIVES: This study aimed to determine factors associated with intensive care unit (ICU) admission in patients hospitalised due to COVID-19. DESIGN: Retrospective cohort. SETTING: Confirmed hospitalised patients from all over Iran were considered for the study. PARTICIPANTS: All patients with COVID-19 admitted to the hospital from March 2020 to May 2021 were included by census. ICU admission was defined by the following criteria: (1) admission to the ICU ward; (2) level of consciousness (loss of consciousness); and (3) use of invasive ventilation. METHODS: This is a secondary data analysis from the Medical Care Monitoring Center. The association between different variables and ICU admission was assessed by forward Logistic regression and restricted cubic spline method. RESULTS: The mean age of the 1 469 620 patients with COVID-19 was 54.49±20.58 years old, and 51.32% of the patients were male. The prevalence of ICU admission was 19.19%. The mean age of patients admitted to the ICU was higher than that of other hospitalised patients (62.49±19.73 vs 52.59±20.31 years). The prevalence of ICU admission was 17.17% in the first, 21.52% in the second, 19.72% in the third, 21.43 in the fourth and 17.4% in the fifth wave. In the multivariable model, age groups, sex, waves of the epidemic, comorbidities and saturation of peripheral oxygen (SpO(2)) <93% and acute respiratory distress syndrome (ARDS) were associated with an increased odds of ICU admission. The OR for ICU admission indicates a significant protective effect at a young age and then a significant risk factor for admission to the ICU ward at an old age. CONCLUSIONS: Men, older adults, people who suffer from ARDS, patients with SpO(2) levels of less than 93% and cases with comorbidities had the highest odds of ICU admission. Therefore, these groups should take all necessary precautions to avoid contracting COVID-19. BMJ Publishing Group 2023-08-22 /pmc/articles/PMC10445395/ /pubmed/37607784 http://dx.doi.org/10.1136/bmjopen-2022-070547 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Epidemiology
Izadi, Neda
Shahbazi, Fatemeh
Mokhayeri, Yaser
Seifi, Arash
Taherpour, Niloufar
Mehri, Ahmad
Fallah, Saeid
Sotoodeh Ghorbani, Sahar
Farhadi-Babadi, Kosar
Taherian, Mohammad Reza
Rahimi, Elham
Etemed, Koorosh
Hashemi Nazari, Seyed Saeed
Intensive care unit admission and associated factors in patients hospitalised for COVID-19: A national retrospective cohort study in Iran
title Intensive care unit admission and associated factors in patients hospitalised for COVID-19: A national retrospective cohort study in Iran
title_full Intensive care unit admission and associated factors in patients hospitalised for COVID-19: A national retrospective cohort study in Iran
title_fullStr Intensive care unit admission and associated factors in patients hospitalised for COVID-19: A national retrospective cohort study in Iran
title_full_unstemmed Intensive care unit admission and associated factors in patients hospitalised for COVID-19: A national retrospective cohort study in Iran
title_short Intensive care unit admission and associated factors in patients hospitalised for COVID-19: A national retrospective cohort study in Iran
title_sort intensive care unit admission and associated factors in patients hospitalised for covid-19: a national retrospective cohort study in iran
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445395/
https://www.ncbi.nlm.nih.gov/pubmed/37607784
http://dx.doi.org/10.1136/bmjopen-2022-070547
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