• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Eur J Med Res . Chest computed tomography severity score is a reliable predictor of mortality in patients with chronic obstructive pulmonary disease

tetano

Editor, Senior Moderator
Eur J Med Res


. 2023 Sep 15;28(1):346.
doi: 10.1186/s40001-023-01336-8. Chest computed tomography severity score is a reliable predictor of mortality in patients with chronic obstructive pulmonary disease co-infected with COVID-19

Yalda Alipour Khabir[SUP] #[/SUP][SUP] 1 [/SUP], Sevda Alipour Khabir[SUP] #[/SUP][SUP] 1 [/SUP], Hassan Anari[SUP] 2 [/SUP], Bahman Mohammadzadeh[SUP] 2 [/SUP], Saeed Hoseininia[SUP] 3 [/SUP], Mohammad Reza Aslani[SUP] 4 5 [/SUP]



Affiliations
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.

Keywords: COVID-19; Chronic obstructive pulmonary disease; Computed tomography.

 
Back
Top Bottom