Evidence map›Paper›PMID 37715265›Full record

ArticleEuropean journal of medical research2023

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, Sevda Alipour Khabir, Hassan Anari, Bahman Mohammadzadeh, Saeed Hoseininia, Mohammad Reza Aslani

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Article in European journal of medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Yalda Alipour Khabir *Students Research Committee, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.ORCID http://orcid.org/0000-0001-9588-7852
Sevda Alipour Khabir *Students Research Committee, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.ORCID http://orcid.org/0000-0002-8056-5700
Hassan AnariDepartment of Radiology, Faculty of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.ORCID http://orcid.org/0000-0003-0669-5838
Bahman MohammadzadehDepartment of Radiology, Faculty of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.
Saeed HoseininiaLung Diseases Research Center, Ardabil University of Medical Sciences, Ardabil, Iran.ORCID https://orcid.org/0000-0002-8816-3378
Mohammad Reza AslaniLung Diseases Research Center, Ardabil University of Medical Sciences, Ardabil, Iran. mraslani105@yahoo.com.ORCID http://orcid.org/0000-0003-1519-7611

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus 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.

methodsIn 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.

resultsThe 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.

conclusionThe 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.

Indexed as

COVID-19Pulmonary Disease, Chronic ObstructiveHumansLung Diseases, InterstitialRetrospective StudiesTomography, X-Ray ComputedChronic obstructive pulmonary diseaseComputed tomographyCOVID-19

Identifiers

PMID37715265
PMCPMC10503086

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