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Prognostic Value of Admission Chest CT Findings for Invasive Ventilation Therapy in COVID-19 Pneumonia
Diagnostics ; 10(12):1108, 2020.
Article in English | ScienceDirect | ID: covidwho-984342
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.
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Collection: Databases of international organizations Database: ScienceDirect Document Type: Article Type of study: Diagnostic study / Prognostic study Language: English Journal: Diagnostics Clinical aspect: Prognosis Year: 2020

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Collection: Databases of international organizations Database: ScienceDirect Document Type: Article Type of study: Diagnostic study / Prognostic study Language: English Journal: Diagnostics Clinical aspect: Prognosis Year: 2020
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