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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...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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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. |
format | Online Article Text |
id | pubmed-8062510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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