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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7766909 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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