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Clinical features and disease severity in an Iranian population of inpatients with COVID-19

Coronavirus disease 2019 (COVID-19) can present with a variety of symptoms. Severity of the disease may be associated with several factors. Here, we review clinical features of COVID-19 inpatients with different severities. This cross-sectional study was performed in Imam Reza hospital, Mashhad, Ira...

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Autores principales: Nabavi, Shima, Javidarabshahi, Zahra, Allahyari, Abolghasem, Ramezani, Mohammad, Seddigh-Shamsi, Mohsen, Ravanshad, Sahar, AkbariRad, Mina, Ebrahimzadeh, Farnoosh, Khatami, Shohre, Emadzadeh, Maryam, Saeedian, Neda, Zarifian, Ahmadreza, Miri, Maryam, Rezaeetalab, Fariba, Hejazi, Sepide, Basiri, Reza, Mozdourian, Mahnaz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8062510/
https://www.ncbi.nlm.nih.gov/pubmed/33888747
http://dx.doi.org/10.1038/s41598-021-87917-1
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author Nabavi, Shima
Javidarabshahi, Zahra
Allahyari, Abolghasem
Ramezani, Mohammad
Seddigh-Shamsi, Mohsen
Ravanshad, Sahar
AkbariRad, Mina
Ebrahimzadeh, Farnoosh
Khatami, Shohre
Emadzadeh, Maryam
Saeedian, Neda
Zarifian, Ahmadreza
Miri, Maryam
Rezaeetalab, Fariba
Hejazi, Sepide
Basiri, Reza
Mozdourian, Mahnaz
author_facet Nabavi, Shima
Javidarabshahi, Zahra
Allahyari, Abolghasem
Ramezani, Mohammad
Seddigh-Shamsi, Mohsen
Ravanshad, Sahar
AkbariRad, Mina
Ebrahimzadeh, Farnoosh
Khatami, Shohre
Emadzadeh, Maryam
Saeedian, Neda
Zarifian, Ahmadreza
Miri, Maryam
Rezaeetalab, Fariba
Hejazi, Sepide
Basiri, Reza
Mozdourian, Mahnaz
author_sort Nabavi, Shima
collection PubMed
description Coronavirus disease 2019 (COVID-19) can present with a variety of symptoms. Severity of the disease may be associated with several factors. Here, we review clinical features of COVID-19 inpatients with different severities. This cross-sectional study was performed in Imam Reza hospital, Mashhad, Iran, during February–April 2020. COVID-19 patients with typical computed tomography (CT) patterns and/or positive reverse-transcriptase polymerase chain reaction (RT-PCR) were included. The patients were classified into three groups of moderate, severe, and critical based on disease severity. Demographic, clinical, laboratory, and radiologic findings were collected and compared. P < 0.05 was considered statistically significant. Overall, 200 patients with mean age of 69.75 ± 6.39 years, of whom 82 (41%) were female were studied. Disease was severe/critical in the majority of patients (167, 83.5%). Disease severity was significantly associated with age, malignant comorbidities, dyspnea, nausea/vomiting, confusion, respiratory rate, pulse rate, O(2) saturation, extent of CT involvement, serum C-reactive protein (CRP), pH, pO(2), and aspartate transaminase (P < 0.05). Moreover, complications including shock, coagulopathy, acidosis, sepsis, acute respiratory distress syndrome (ARDS), intensive care unit (ICU) admission, and intubation were significantly higher in patients with higher severities (P < 0.05). O(2) saturation, nausea/vomiting, and extent of lung CT involvement were independent predictors of severe/critical COVID-19 (OR 0.342, 45.93, and 25.48, respectively; P < 0.05). Our results indicate O(2) saturation, nausea/vomiting, and extent of lung CT involvement as independent predictors of severe COVID-19 conditions. Serum CRP levels and pO(2) were also considerably higher patients with higher severity and can be used along with other factors to predict severe disease in COVID-19 patients.
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spelling pubmed-80625102021-04-23 Clinical features and disease severity in an Iranian population of inpatients with COVID-19 Nabavi, Shima Javidarabshahi, Zahra Allahyari, Abolghasem Ramezani, Mohammad Seddigh-Shamsi, Mohsen Ravanshad, Sahar AkbariRad, Mina Ebrahimzadeh, Farnoosh Khatami, Shohre Emadzadeh, Maryam Saeedian, Neda Zarifian, Ahmadreza Miri, Maryam Rezaeetalab, Fariba Hejazi, Sepide Basiri, Reza Mozdourian, Mahnaz Sci Rep Article Coronavirus disease 2019 (COVID-19) can present with a variety of symptoms. Severity of the disease may be associated with several factors. Here, we review clinical features of COVID-19 inpatients with different severities. This cross-sectional study was performed in Imam Reza hospital, Mashhad, Iran, during February–April 2020. COVID-19 patients with typical computed tomography (CT) patterns and/or positive reverse-transcriptase polymerase chain reaction (RT-PCR) were included. The patients were classified into three groups of moderate, severe, and critical based on disease severity. Demographic, clinical, laboratory, and radiologic findings were collected and compared. P < 0.05 was considered statistically significant. Overall, 200 patients with mean age of 69.75 ± 6.39 years, of whom 82 (41%) were female were studied. Disease was severe/critical in the majority of patients (167, 83.5%). Disease severity was significantly associated with age, malignant comorbidities, dyspnea, nausea/vomiting, confusion, respiratory rate, pulse rate, O(2) saturation, extent of CT involvement, serum C-reactive protein (CRP), pH, pO(2), and aspartate transaminase (P < 0.05). Moreover, complications including shock, coagulopathy, acidosis, sepsis, acute respiratory distress syndrome (ARDS), intensive care unit (ICU) admission, and intubation were significantly higher in patients with higher severities (P < 0.05). O(2) saturation, nausea/vomiting, and extent of lung CT involvement were independent predictors of severe/critical COVID-19 (OR 0.342, 45.93, and 25.48, respectively; P < 0.05). Our results indicate O(2) saturation, nausea/vomiting, and extent of lung CT involvement as independent predictors of severe COVID-19 conditions. Serum CRP levels and pO(2) were also considerably higher patients with higher severity and can be used along with other factors to predict severe disease in COVID-19 patients. Nature Publishing Group UK 2021-04-22 /pmc/articles/PMC8062510/ /pubmed/33888747 http://dx.doi.org/10.1038/s41598-021-87917-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Article
Nabavi, Shima
Javidarabshahi, Zahra
Allahyari, Abolghasem
Ramezani, Mohammad
Seddigh-Shamsi, Mohsen
Ravanshad, Sahar
AkbariRad, Mina
Ebrahimzadeh, Farnoosh
Khatami, Shohre
Emadzadeh, Maryam
Saeedian, Neda
Zarifian, Ahmadreza
Miri, Maryam
Rezaeetalab, Fariba
Hejazi, Sepide
Basiri, Reza
Mozdourian, Mahnaz
Clinical features and disease severity in an Iranian population of inpatients with COVID-19
title Clinical features and disease severity in an Iranian population of inpatients with COVID-19
title_full Clinical features and disease severity in an Iranian population of inpatients with COVID-19
title_fullStr Clinical features and disease severity in an Iranian population of inpatients with COVID-19
title_full_unstemmed Clinical features and disease severity in an Iranian population of inpatients with COVID-19
title_short Clinical features and disease severity in an Iranian population of inpatients with COVID-19
title_sort clinical features and disease severity in an iranian population of inpatients with covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8062510/
https://www.ncbi.nlm.nih.gov/pubmed/33888747
http://dx.doi.org/10.1038/s41598-021-87917-1
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