Literature DB >> 33144492

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

Luca Pugliese1, Francesco Paolo Sbordone1, Francesco Grimaldi1, Francesca Ricci1, Federica DI Tosto1, Luigi Spiritigliozzi1, Carlo DI Donna1, Matteo Presicce1, Vincenzo DE Stasio1, Leonardo Benelli1, Francesca D'Errico1, Monia Pasqualetto1, Jacopo Maria Legramante2, Marco Materazzo3, Marco Pellicciaro4, Oreste Claudio Buonomo4, Gianluca Vanni4, Stefano Rizza5, Alfonso Bellia5, Roberto Floris1, Francesco Garaci1, Marcello Chiocchi1.   

Abstract

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

Entities:  

Keywords:  Novel coronavirus-infected pneumonia; computer tomography; death; intensive care unit; radiological scores

Mesh:

Year:  2020        PMID: 33144492     DOI: 10.21873/invivo.12223

Source DB:  PubMed          Journal:  In Vivo        ISSN: 0258-851X            Impact factor:   2.155


  1 in total

1.  COVID-19 safety measures at the Radiology Unit of a Transplant Institute: the non-COVID-19 patient's confidence with safety procedures.

Authors:  Roberta Gerasia; Giuseppe Mamone; Santina Amato; Antonino Cucchiara; Giuseppe Salvatore Gallo; Corrado Tafaro; Giuseppe Fiorello; Calogero Caruso; Roberto Miraglia
Journal:  Radiol Med       Date:  2022-03-13       Impact factor: 6.313

  1 in total

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