Chest Computed Tomography Scoring in Patients With Novel Coronavirus-infected Pneumonia: Correlation With Clinical and Laboratory Features and Disease Outcome.


Journal

In vivo (Athens, Greece)
ISSN: 1791-7549
Titre abrégé: In Vivo
Pays: Greece
ID NLM: 8806809

Informations de publication

Date de publication:
Historique:
received: 16 09 2020
revised: 23 09 2020
accepted: 24 09 2020
entrez: 4 11 2020
pubmed: 5 11 2020
medline: 18 11 2020
Statut: ppublish

Résumé

This study investigated the correlation of chest computed tomography (CT), findings, graded using two different scoring methods, with clinical and laboratory features and disease outcome, including a novel clinical predictive score, in patients with novel coronavirus-infected pneumonia (NCIP). In this retrospective, observational study, CT scan of 92 NCIP patients admitted to Policlinico Tor Vergata, were analyzed using a quantitative, computed-based and a semiquantitative, radiologist-assessed scoring system. Correlations of the two radiological scores with clinical and laboratory features, the CALL score, and their association with a composite adverse outcome were assessed. The two scores correlated significantly with each other (ρ=0.637, p<0.0001) and were independently associated with age, LDH, estimated glomerular filtration rate, diabetes, and with the composite outcome, which occurred in 24 patients. In NCIP patients, two different radiological scores correlated with each other and with several clinical, laboratory features, and the CALL score. The quantitative score was a better independent predictor of the composite adverse outcome than the semiquantitative score.

Sections du résumé

BACKGROUND/AIM OBJECTIVE
This study investigated the correlation of chest computed tomography (CT), findings, graded using two different scoring methods, with clinical and laboratory features and disease outcome, including a novel clinical predictive score, in patients with novel coronavirus-infected pneumonia (NCIP).
PATIENTS AND METHODS METHODS
In this retrospective, observational study, CT scan of 92 NCIP patients admitted to Policlinico Tor Vergata, were analyzed using a quantitative, computed-based and a semiquantitative, radiologist-assessed scoring system. Correlations of the two radiological scores with clinical and laboratory features, the CALL score, and their association with a composite adverse outcome were assessed.
RESULTS RESULTS
The two scores correlated significantly with each other (ρ=0.637, p<0.0001) and were independently associated with age, LDH, estimated glomerular filtration rate, diabetes, and with the composite outcome, which occurred in 24 patients.
CONCLUSION CONCLUSIONS
In NCIP patients, two different radiological scores correlated with each other and with several clinical, laboratory features, and the CALL score. The quantitative score was a better independent predictor of the composite adverse outcome than the semiquantitative score.

Identifiants

pubmed: 33144492
pii: 34/6/3735
doi: 10.21873/invivo.12223
pmc: PMC7811662
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3735-3746

Informations de copyright

Copyright© 2020, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

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Auteurs

Luca Pugliese (L)

Department of Biomedicine and Prevention, Division of Diagnostic Imaging, Tor Vergata University, and Unit of Diagnostic Imaging, Policlinico Tor Vergata, Rome, Italy.

Francesco Paolo Sbordone (FP)

Department of Biomedicine and Prevention, Division of Diagnostic Imaging, Tor Vergata University, and Unit of Diagnostic Imaging, Policlinico Tor Vergata, Rome, Italy.

Francesco Grimaldi (F)

Department of Biomedicine and Prevention, Division of Diagnostic Imaging, Tor Vergata University, and Unit of Diagnostic Imaging, Policlinico Tor Vergata, Rome, Italy.

Francesca Ricci (F)

Department of Biomedicine and Prevention, Division of Diagnostic Imaging, Tor Vergata University, and Unit of Diagnostic Imaging, Policlinico Tor Vergata, Rome, Italy.

Federica DI Tosto (F)

Department of Biomedicine and Prevention, Division of Diagnostic Imaging, Tor Vergata University, and Unit of Diagnostic Imaging, Policlinico Tor Vergata, Rome, Italy.

Luigi Spiritigliozzi (L)

Department of Biomedicine and Prevention, Division of Diagnostic Imaging, Tor Vergata University, and Unit of Diagnostic Imaging, Policlinico Tor Vergata, Rome, Italy.

Carlo DI Donna (C)

Department of Biomedicine and Prevention, Division of Diagnostic Imaging, Tor Vergata University, and Unit of Diagnostic Imaging, Policlinico Tor Vergata, Rome, Italy.

Matteo Presicce (M)

Department of Biomedicine and Prevention, Division of Diagnostic Imaging, Tor Vergata University, and Unit of Diagnostic Imaging, Policlinico Tor Vergata, Rome, Italy.

Vincenzo DE Stasio (V)

Department of Biomedicine and Prevention, Division of Diagnostic Imaging, Tor Vergata University, and Unit of Diagnostic Imaging, Policlinico Tor Vergata, Rome, Italy.

Leonardo Benelli (L)

Department of Biomedicine and Prevention, Division of Diagnostic Imaging, Tor Vergata University, and Unit of Diagnostic Imaging, Policlinico Tor Vergata, Rome, Italy.

Francesca D'Errico (F)

Department of Biomedicine and Prevention, Division of Diagnostic Imaging, Tor Vergata University, and Unit of Diagnostic Imaging, Policlinico Tor Vergata, Rome, Italy.

Monia Pasqualetto (M)

Department of Biomedicine and Prevention, Division of Diagnostic Imaging, Tor Vergata University, and Unit of Diagnostic Imaging, Policlinico Tor Vergata, Rome, Italy.

Jacopo Maria Legramante (JM)

Department of System Medicine, Tor Vergata University, and Emergency Department, Rome, Italy.

Marco Materazzo (M)

Breast Unit, Department of Surgical Science, Policlinico Tor Vergata University, Rome, Italy mrcmaterazzo@gmail.com.

Marco Pellicciaro (M)

Breast Unit, Department of Surgical Science, Policlinico Tor Vergata University, Rome, Italy.

Oreste Claudio Buonomo (OC)

Breast Unit, Department of Surgical Science, Policlinico Tor Vergata University, Rome, Italy.

Gianluca Vanni (G)

Breast Unit, Department of Surgical Science, Policlinico Tor Vergata University, Rome, Italy.

Stefano Rizza (S)

Department of System Medicine, Tor Vergata University, and Department of Medical Sciences, Policlinico Tor Vergata, Rome, Italy.

Alfonso Bellia (A)

Department of System Medicine, Tor Vergata University, and Department of Medical Sciences, Policlinico Tor Vergata, Rome, Italy.

Roberto Floris (R)

Department of Biomedicine and Prevention, Division of Diagnostic Imaging, Tor Vergata University, and Unit of Diagnostic Imaging, Policlinico Tor Vergata, Rome, Italy.

Francesco Garaci (F)

Department of Biomedicine and Prevention, Division of Diagnostic Imaging, Tor Vergata University, and Unit of Diagnostic Imaging, Policlinico Tor Vergata, Rome, Italy.

Marcello Chiocchi (M)

Department of Biomedicine and Prevention, Division of Diagnostic Imaging, Tor Vergata University, and Unit of Diagnostic Imaging, Policlinico Tor Vergata, Rome, Italy.

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