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Chest X-ray for predicting mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department.
Balbi, Maurizio; Caroli, Anna; Corsi, Andrea; Milanese, Gianluca; Surace, Alessandra; Di Marco, Fabiano; Novelli, Luca; Silva, Mario; Lorini, Ferdinando Luca; Duca, Andrea; Cosentini, Roberto; Sverzellati, Nicola; Bonaffini, Pietro Andrea; Sironi, Sandro.
  • Balbi M; Department of Radiology, Azienda Socio-Sanitaria Territoriale Papa Giovanni XXIII, Bergamo, Italy. balbi.m@libero.it.
  • Caroli A; University of Milano-Bicocca, Milan, Italy. balbi.m@libero.it.
  • Corsi A; Bioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy.
  • Milanese G; Department of Radiology, Azienda Socio-Sanitaria Territoriale Papa Giovanni XXIII, Bergamo, Italy.
  • Surace A; University of Milano-Bicocca, Milan, Italy.
  • Di Marco F; Scienze Radiologiche, Department of Medicine and Surgery, University of Parma, Parma, Italy.
  • Novelli L; Department of Radiology, Azienda Socio-Sanitaria Territoriale Papa Giovanni XXIII, Bergamo, Italy.
  • Silva M; University of Milano-Bicocca, Milan, Italy.
  • Lorini FL; Respiratory Unit, Azienda Socio-Sanitaria Territoriale Papa Giovanni XXIII, Bergamo, Italy.
  • Duca A; Department of Health Sciences, University of Milan, Milan, Italy.
  • Cosentini R; Respiratory Unit, Azienda Socio-Sanitaria Territoriale Papa Giovanni XXIII, Bergamo, Italy.
  • Sverzellati N; Scienze Radiologiche, Department of Medicine and Surgery, University of Parma, Parma, Italy.
  • Bonaffini PA; Department of Anesthesia and Intensive Care, Azienda Socio-Sanitaria Territoriale Papa Giovanni XXIII, Bergamo, Italy.
  • Sironi S; Emergency Department (Emergenza Alta Specializzazione), Azienda Socio-Sanitaria Territoriale Papa Giovanni XXIII, Bergamo, Italy.
Eur Radiol ; 31(4): 1999-2012, 2021 Apr.
Article in English | MEDLINE | ID: covidwho-841709
ABSTRACT

OBJECTIVES:

To evaluate the inter-rater agreement of chest X-ray (CXR) findings in coronavirus disease 2019 (COVID-19) and to determine the value of initial CXR along with demographic, clinical, and laboratory data at emergency department (ED) presentation for predicting mortality and the need for ventilatory support.

METHODS:

A total of 340 COVID-19 patients who underwent CXR in the ED setting (March 1-13, 2020) were retrospectively included. Two reviewers independently assessed CXR abnormalities, including ground-glass opacities (GGOs) and consolidation. Two scoring systems (Brixia score and percentage of lung involvement) were applied. Inter-rater agreement was assessed by weighted Cohen's kappa (κ) or intraclass correlation coefficient (ICC). Predictors of death and respiratory support were identified by logistic or Poisson regression.

RESULTS:

GGO admixed with consolidation (n = 235, 69%) was the most common CXR finding. The inter-rater agreement was almost perfect for type of parenchymal opacity (κ = 0.90), Brixia score (ICC = 0.91), and percentage of lung involvement (ICC = 0.95). The Brixia score (OR 1.19; 95% CI 1.06, 1.34; p = 0.003), age (OR 1.16; 95% CI 1.11, 1.22; p < 0.001), PaO2/FiO2 ratio (OR 0.99; 95% CI 0.98, 1; p = 0.002), and cardiovascular diseases (OR 3.21; 95% CI 1.28, 8.39; p = 0.014) predicted death. Percentage of lung involvement (OR 1.02; 95% CI 1.01, 1.03; p = 0.001) and PaO2/FiO2 ratio (OR 0.99; 95% CI 0.99, 1.00; p < 0.001) were significant predictors of the need for ventilatory support.

CONCLUSIONS:

CXR is a reproducible tool for assessing COVID-19 and integrates with patient history, PaO2/FiO2 ratio, and SpO2 values to early predict mortality and the need for ventilatory support. KEY POINTS • Chest X-ray is a reproducible tool for assessing COVID-19 pneumonia. • The Brixia score and percentage of lung involvement on chest X-ray integrate with patient history, PaO2/FIO2 ratio, and SpO2 values to early predict mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: Eur Radiol Journal subject: Radiology Year: 2021 Document Type: Article Affiliation country: S00330-020-07270-1

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: Eur Radiol Journal subject: Radiology Year: 2021 Document Type: Article Affiliation country: S00330-020-07270-1