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Time-Dependent Changes in COVID-19 Severity Based on the Information of Patients Referring to Masih Daneshvari Hospital, Tehran, Iran

BACKGROUND: Coronavirus disease 2019 (COVID-19) is a newly emerged disease with many unknown facets, so both the treatment and the cause of spreading this disease have remained mysterious so far. MATERIALS AND METHODS: Based on the information of 4372 patients with COVID-19 referring to Dr. Masih Da...

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Autores principales: Kazempour-Dizaji, Mehdi, Zare, Ali, Varahram, Mohammad, Abedini, Atefeh, Kiani, Arda, Roozbahani, Rahim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Research Institute of Tuberculosis and Lung Disease 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618582/
https://www.ncbi.nlm.nih.gov/pubmed/37920323
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author Kazempour-Dizaji, Mehdi
Zare, Ali
Varahram, Mohammad
Abedini, Atefeh
Kiani, Arda
Roozbahani, Rahim
author_facet Kazempour-Dizaji, Mehdi
Zare, Ali
Varahram, Mohammad
Abedini, Atefeh
Kiani, Arda
Roozbahani, Rahim
author_sort Kazempour-Dizaji, Mehdi
collection PubMed
description BACKGROUND: Coronavirus disease 2019 (COVID-19) is a newly emerged disease with many unknown facets, so both the treatment and the cause of spreading this disease have remained mysterious so far. MATERIALS AND METHODS: Based on the information of 4372 patients with COVID-19 referring to Dr. Masih Daneshvari Hospital in Tehran, the time-dependent changes in COVID-19 severity were investigated in this study using correlation analysis. RESULTS: According to the results of this study, on average 154.80 patients were infected with mild to moderate COVID-19, and 39.06 were infected with severe COVID-19. The results of this study also indicated a descending trend in the number of patients with mild to moderate COVID-19 (r=−0.40, P-value=0.004) and an ascending trend in the number of patients with severe COVID-19 (r=0.43, P-value=0.003) overtime on a daily basis so that almost two patients were removed from those with mild to moderate COVID-19 and one was added to the patients with severe COVID-19 on average per day. CONCLUSION: Based on the current study results, it is concluded that COVID-19 severity will not be constant over time, and there is a probability of COVID-19 becoming more aggressive. Therefore, by the lack of timely control of the disease over time, we will witness an increased number of patients with severe COVID-19 and an increased number of hospitalizations in the intensive care unit (ICU) ward.
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spelling pubmed-106185822023-11-02 Time-Dependent Changes in COVID-19 Severity Based on the Information of Patients Referring to Masih Daneshvari Hospital, Tehran, Iran Kazempour-Dizaji, Mehdi Zare, Ali Varahram, Mohammad Abedini, Atefeh Kiani, Arda Roozbahani, Rahim Tanaffos Original Article BACKGROUND: Coronavirus disease 2019 (COVID-19) is a newly emerged disease with many unknown facets, so both the treatment and the cause of spreading this disease have remained mysterious so far. MATERIALS AND METHODS: Based on the information of 4372 patients with COVID-19 referring to Dr. Masih Daneshvari Hospital in Tehran, the time-dependent changes in COVID-19 severity were investigated in this study using correlation analysis. RESULTS: According to the results of this study, on average 154.80 patients were infected with mild to moderate COVID-19, and 39.06 were infected with severe COVID-19. The results of this study also indicated a descending trend in the number of patients with mild to moderate COVID-19 (r=−0.40, P-value=0.004) and an ascending trend in the number of patients with severe COVID-19 (r=0.43, P-value=0.003) overtime on a daily basis so that almost two patients were removed from those with mild to moderate COVID-19 and one was added to the patients with severe COVID-19 on average per day. CONCLUSION: Based on the current study results, it is concluded that COVID-19 severity will not be constant over time, and there is a probability of COVID-19 becoming more aggressive. Therefore, by the lack of timely control of the disease over time, we will witness an increased number of patients with severe COVID-19 and an increased number of hospitalizations in the intensive care unit (ICU) ward. National Research Institute of Tuberculosis and Lung Disease 2023-01 /pmc/articles/PMC10618582/ /pubmed/37920323 Text en Copyright© 2023 National Research Institute of Tuberculosis and Lung Disease 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 Original Article
Kazempour-Dizaji, Mehdi
Zare, Ali
Varahram, Mohammad
Abedini, Atefeh
Kiani, Arda
Roozbahani, Rahim
Time-Dependent Changes in COVID-19 Severity Based on the Information of Patients Referring to Masih Daneshvari Hospital, Tehran, Iran
title Time-Dependent Changes in COVID-19 Severity Based on the Information of Patients Referring to Masih Daneshvari Hospital, Tehran, Iran
title_full Time-Dependent Changes in COVID-19 Severity Based on the Information of Patients Referring to Masih Daneshvari Hospital, Tehran, Iran
title_fullStr Time-Dependent Changes in COVID-19 Severity Based on the Information of Patients Referring to Masih Daneshvari Hospital, Tehran, Iran
title_full_unstemmed Time-Dependent Changes in COVID-19 Severity Based on the Information of Patients Referring to Masih Daneshvari Hospital, Tehran, Iran
title_short Time-Dependent Changes in COVID-19 Severity Based on the Information of Patients Referring to Masih Daneshvari Hospital, Tehran, Iran
title_sort time-dependent changes in covid-19 severity based on the information of patients referring to masih daneshvari hospital, tehran, iran
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618582/
https://www.ncbi.nlm.nih.gov/pubmed/37920323
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