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Article

Can Lung Imaging Scores and Clinical Variables Predict Severe Course and Fatal Outcome in COVID-19 Pneumonia Patients? A Single-Center Observational Study

1
Department of Pulmology, University Hospital of Split, 21000 Split, Croatia
2
School of Medicine, University of Split, 21000 Split, Croatia
3
Department of Infectious Diseases, University Hospital of Split, 21000 Split, Croatia
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University Department of Health Studies, University of Split, 21000 Split, Croatia
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Clinical Department of Diagnostic and Interventional Radiology, University Hospital of Split, 21000 Split, Croatia
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Department of Surgery, University Hospital of Split, 21000 Split, Croatia
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Department of Nephrology, University Hospital of Split, 21000 Split, Croatia
*
Author to whom correspondence should be addressed.
Academic Editors: Silvia De Francia and Sarah Allegra
Life 2022, 12(5), 735; https://doi.org/10.3390/life12050735
Received: 20 April 2022 / Revised: 6 May 2022 / Accepted: 11 May 2022 / Published: 15 May 2022
(This article belongs to the Special Issue COVID-19 Prevention and Treatment)
COVID-19 prediction models mostly consist of combined clinical features, laboratory parameters, and, less often, chest X-ray (CXR) findings. Our main goal was to propose a prediction model involving imaging methods, specifically ultrasound. This was a single-center, retrospective cohort observational study of patients admitted to the University Hospital Split from November 2020 to May 2021. Imaging protocols were based on the assessment of 14 lung zones for both lung ultrasound (LUS) and computed tomography (CT), correlated to a CXR score assessing 6 lung zones. Prediction models for the necessity of mechanical ventilation (MV) or a lethal outcome were developed by combining imaging, biometric, and biochemical parameters. A total of 255 patients with COVID-19 pneumonia were included in the study. Four independent predictors were added to the regression model for the necessity of MV: LUS score, day of the illness, leukocyte count, and cardiovascular disease (χ2 = 29.16, p < 0.001). The model accurately classified 89.9% of cases. For the lethal outcome, only two independent predictors contributed to the regression model: LUS score and patient’s age (χ2 = 48.56, p < 0.001, 93.2% correctly classified). The predictive model identified four key parameters at patient admission which could predict an adverse outcome. View Full-Text
Keywords: lung ultrasound; COVID-19; prognostic; pneumonia; CT; chest X-ray lung ultrasound; COVID-19; prognostic; pneumonia; CT; chest X-ray
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MDPI and ACS Style

Skopljanac, I.; Pavicic Ivelja, M.; Budimir Mrsic, D.; Barcot, O.; Jelicic, I.; Domjanovic, J.; Dolic, K. Can Lung Imaging Scores and Clinical Variables Predict Severe Course and Fatal Outcome in COVID-19 Pneumonia Patients? A Single-Center Observational Study. Life 2022, 12, 735. https://doi.org/10.3390/life12050735

AMA Style

Skopljanac I, Pavicic Ivelja M, Budimir Mrsic D, Barcot O, Jelicic I, Domjanovic J, Dolic K. Can Lung Imaging Scores and Clinical Variables Predict Severe Course and Fatal Outcome in COVID-19 Pneumonia Patients? A Single-Center Observational Study. Life. 2022; 12(5):735. https://doi.org/10.3390/life12050735

Chicago/Turabian Style

Skopljanac, Ivan, Mirela Pavicic Ivelja, Danijela Budimir Mrsic, Ognjen Barcot, Irena Jelicic, Josipa Domjanovic, and Kresimir Dolic. 2022. "Can Lung Imaging Scores and Clinical Variables Predict Severe Course and Fatal Outcome in COVID-19 Pneumonia Patients? A Single-Center Observational Study" Life 12, no. 5: 735. https://doi.org/10.3390/life12050735

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