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Prognostic Value of Admission Chest CT Findings for Invasive Ventilation Therapy in COVID-19 Pneumonia

(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 includ...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766909/
https://www.ncbi.nlm.nih.gov/pubmed/33352758
http://dx.doi.org/10.3390/diagnostics10121108
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author 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.
author_facet 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.
author_sort Gresser, Eva
collection PubMed
description (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.
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spelling pubmed-77669092020-12-28 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. Diagnostics (Basel) Article (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. MDPI 2020-12-19 /pmc/articles/PMC7766909/ /pubmed/33352758 http://dx.doi.org/10.3390/diagnostics10121108 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
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.
Prognostic Value of Admission Chest CT Findings for Invasive Ventilation Therapy in COVID-19 Pneumonia
title Prognostic Value of Admission Chest CT Findings for Invasive Ventilation Therapy in COVID-19 Pneumonia
title_full Prognostic Value of Admission Chest CT Findings for Invasive Ventilation Therapy in COVID-19 Pneumonia
title_fullStr Prognostic Value of Admission Chest CT Findings for Invasive Ventilation Therapy in COVID-19 Pneumonia
title_full_unstemmed Prognostic Value of Admission Chest CT Findings for Invasive Ventilation Therapy in COVID-19 Pneumonia
title_short Prognostic Value of Admission Chest CT Findings for Invasive Ventilation Therapy in COVID-19 Pneumonia
title_sort prognostic value of admission chest ct findings for invasive ventilation therapy in covid-19 pneumonia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766909/
https://www.ncbi.nlm.nih.gov/pubmed/33352758
http://dx.doi.org/10.3390/diagnostics10121108
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