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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Alipour Khabir, Yalda Alipour Khabir, Sevda Anari, Hassan Mohammadzadeh, Bahman Hoseininia, Saeed Aslani, Mohammad Reza |
| Abstract | Background Coronavirus disease 2019 (COVID-19) pandemic is considered a global health crisis. The data related to chronic obstructive pulmonary disease (COPD) patients with COVID-19 are incomplete, especially the findings of the chest computed tomography (CT). The aim of the current study was to investigate the severity of the disease of COVID-19 in patients with COPD based on CT severity score and to evaluate its predictive power in the mortality of patients. Methods In a retrospective study, demographic, clinical, and CT scan findings of COPD patients with COVID-19 were extracted from March 2020 to February 2022. CT severity score was determined based on the extent and nature of involvement of lungs in CT scan findings. By performing receiver operating characteristics (ROC) and Kaplan–Meier survival analysis were determined the disease severity and survival probability. Results The most frequent radiological findings in chest CT scan included ground glass opacities (89.3%), consolidations (51.8%), crazy-paving pattern (46.4%), and septal thickening (35.7%). The mean CT severity score of deceased patients (34.61 ± 18.73) was significantly higher than recovered patients (16.71 ± 14.01, p < 0.001). Based on the ROC and Kaplan–Meier survival curves, it was revealed that CT severity score was a valuable criteria in the diagnosis of mortality in COPD patients with COVID-19. Conclusion The findings of this study revealed that the CT severity scoring in COPD patients with COVID-19 was valuable in identifying poor prognosis, although further studies are needed. |
| Related Links | https://eurjmedres.biomedcentral.com/counter/pdf/10.1186/s40001-023-01336-8.pdf |
| Ending Page | 8 |
| Page Count | 8 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| DOI | 10.1186/s40001-023-01336-8 |
| Journal | European Journal of Medical Research |
| Issue Number | 1 |
| Volume Number | 28 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2023-09-15 |
| Access Restriction | Open |
| Subject Keyword | Medicine Public Health Infectious Diseases Internal Medicine Surgery Oncology Biomedicine COVID-19 Chronic obstructive pulmonary disease Computed tomography Medicine/Public Health |
| Content Type | Text |
| Resource Type | Article |
| Subject | Medicine |
| Journal Impact Factor | 2.8/2023 |
| 5-Year Journal Impact Factor | 2.9/2023 |
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