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

Diagnostics

Dietmar Wassilowsky¹  Michael Irlbeck¹  Nicola Fink²  Vincent Schwarze²  Michael Ingrisch²  Daniel Puhr-Westerheide²  Johannes Rueckel²  BastianO. Sabel²  Eva Gresser²  WolfgangG. Kunz²  Jens Ricke² 

[1] Department of Anaesthesiology, University Hospital, LMU Munich, 81377 Munich, Germany;Department of Radiology, University Hospital, LMU Munich, 81377 Munich, Germany;

关键词: COVID-19;    SARS-CoV-2;    diagnostic imaging;    intensive care;    risk factors;   

DOI  :  10.3390/diagnostics10121108

来源: DOAJ

【 摘 要 】

(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.

【 授权许可】

Unknown