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Prognostic Value of Admission Chest CT Findings for Invasive Ventilation Therapy in COVID-19 Pneumonia.
Gresser, Eva; Rueckel, Johannes; Puhr-Westerheide, Daniel; Schwarze, Vincent; Fink, Nicola; Kunz, Wolfgang G; Wassilowsky, Dietmar; Irlbeck, Michael; Ricke, Jens; Ingrisch, Michael; Sabel, Bastian O.
Afiliación
  • Gresser E; Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany.
  • Rueckel J; Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany.
  • Puhr-Westerheide D; Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany.
  • Schwarze V; Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany.
  • Fink N; Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany.
  • Kunz WG; Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany.
  • Wassilowsky D; Department of Anaesthesiology, University Hospital, LMU Munich, 81377 Munich, Germany.
  • Irlbeck M; Department of Anaesthesiology, University Hospital, LMU Munich, 81377 Munich, Germany.
  • Ricke J; Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany.
  • Ingrisch M; Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany.
  • Sabel BO; Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany.
Diagnostics (Basel) ; 10(12)2020 Dec 19.
Article en En | MEDLINE | ID: mdl-33352758
ABSTRACT
(1)

Background:

To assess the value of chest CT imaging features of COVID-19 disease upon hospital admission for risk stratification of invasive ventilation (IV) versus no or non-invasive ventilation (non-IV) during hospital stay. (2)

Methods:

A retrospective single-center study was conducted including all patients admitted during the first three months of the pandemic at our hospital with PCR-confirmed COVID-19 disease and admission chest CT scans (n = 69). Using clinical information and CT imaging features, a 10-point ordinal risk score was developed and its diagnostic potential to differentiate a severe (IV-group) from a more moderate course (non-IV-group) of the disease was tested. (3)

Results:

Frequent imaging findings of COVID-19 pneumonia in both groups were ground glass opacities (91.3%), consolidations (53.6%) and crazy paving patterns (31.9%). Characteristics of later stages such as subpleural bands were observed significantly more often in the IV-group (52.2% versus 26.1%, p = 0.032). Using information directly accessible during a radiologist's reporting, a simple risk score proved to reliably differentiate between IV- and non-IV-groups (AUC 0.89 (95% CI 0.81-0.96), p < 0.001). (4)

Conclusions:

Information accessible from admission CT scans can effectively and reliably be used in a scoring model to support risk stratification of COVID-19 patients to improve resource and allocation management of hospitals.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Diagnostics (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Diagnostics (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Alemania
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