Correlation between arterial blood gas and CT volumetry in patients with SARS-CoV-2 in the emergency department

Autor: Norbert Pfeifer, Gianni Turcato, Christoph Scheurer, Luca Panebianco, Arian Zaboli, Anton Wieser, Dietmar Ausserhofer
Rok vydání: 2020
Předmět:
0301 basic medicine
Male
0302 clinical medicine
Patient Admission
CT volumetry
030212 general & internal medicine
Original Research
musculoskeletal
neural
and ocular physiology
General Medicine
Middle Aged
Prognosis
Hospitalization
Intensive Care Units
Infectious Diseases
Arterial blood
Radiographic Image Interpretation
Computer-Assisted
Emergency medicine
Female
Radiology
Coronavirus Infections
Emergency Service
Hospital
Microbiology (medical)
2019-20 coronavirus outbreak
medicine.medical_specialty
Coronavirus disease 2019 (COVID-19)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
030106 microbiology
Pneumonia
Viral
macromolecular substances
Article
lcsh:Infectious and parasitic diseases
Thoracic Imaging
03 medical and health sciences
Betacoronavirus
Predictive Value of Tests
medicine
Humans
In patient
lcsh:RC109-216
COVID-19 pneumonia
Ct volumetry
Pandemics
Aged
Retrospective Studies
business.industry
Emergency department
SARS-CoV-2
fungi
COVID-19
Tomography x ray computed
nervous system
ROC Curve
Arterail blood gas
business
Tomography
X-Ray Computed
Zdroj: Radiology
International Journal of Infectious Diseases
International Journal of Infectious Diseases, Vol 97, Iss, Pp 233-235 (2020)
ISSN: 1878-3511
Popis: Background Computed tomography (CT) of patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease depicts the extent of lung involvement in COVID-19 pneumonia. Purpose The aim of the study was to determine the value of quantification of the well-aerated lung obtained at baseline chest CT for determining prognosis in patients with COVID-19 pneumonia. Materials and Methods Patients who underwent chest CT suspected for COVID-19 pneumonia at the emergency department admission between February 17 to March 10, 2020 were retrospectively analyzed. Patients with negative reverse-transcription polymerase chain reaction (RT-PCR) for SARS-CoV-2 in nasal-pharyngeal swabs, negative chest CT, and incomplete clinical data were excluded. CT was analyzed for quantification of well aerated lung visually (%V-WAL) and by open-source software (%S-WAL and absolute volume, VOL-WAL). Clinical parameters included demographics, comorbidities, symptoms and symptom duration, oxygen saturation and laboratory values. Logistic regression was used to evaluate relationship between clinical parameters and CT metrics versus patient outcome (ICU admission/death vs. no ICU admission/ death). The area under the receiver operating characteristic curve (AUC) was calculated to determine model performance. Results The study included 236 patients (females 59/123, 25%; median age, 68 years). A %V-WAL
Databáze: OpenAIRE
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