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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Research Institute of Tuberculosis and Lung Disease
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618582/ https://www.ncbi.nlm.nih.gov/pubmed/37920323 |
Sumario: | 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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