Tuberc Respir Dis Search


Tuberc Respir Dis > Accepted Articles
DOI:    [Accepted]
Published online January 5, 2021.
Factors associated with worsening oxygenation in patient with non-severe COVID-19 pneumonia
Cho Rom Hahm, M.D.1, Young Kyung Lee, M.D., Ph.D.2, Dong Hyun Oh, M.D.1, Mi Young Ahn, M.D., Ph.D.1, Jae-Phil Choi, M.D.1, Na Ree Kang, M.D.1, Jungkyun Oh, M.D.3, Hanzo Choi, M.D., M.S. in Statistics4, Suhyun Kim, M.D.1
1Department of Internal Medicine, Seoul Medical Center, Seoul, South Korea
2Department of Radiology, Seoul Medical Center, Seoul, South Korea
3Department of Hospital Medicine, Seoul Medical Center, Seoul, South Korea
4Emergency Medicine, Myong Ji St. Mary’s Hospital, Seoul, South Korea
Correspondence:  Suhyun Kim, Tel: +82-2-2276-7814, 
Received: 14 November 2020   • Revised: 29 December 2020   • Accepted: 1 January 2021
This study aimed to determine parameters for worsening oxygenation in non-severe COVID-19 pneumonia.
This retrospective cohort study included confirmed COVID-19 pneumonia in a public hospital in South Korea. The worsening oxygenation group was defined as those with SpO2 ≤ 94%, or received oxygen or mechanical ventilation (MV) throughout the clinical course versus the non-worsening group who were without any respiratory event. Parameters were compared, and the extent of viral pneumonia from an initial chest CT were calculated using artificial intelligence (AI) and measured visually by a radiologist.
We included 136 patients with 32 (23.5%) in the worsening oxygenation group, of whom two needed MV and one died. Initial vital signs and duration of symptoms showed no difference between the two groups, however, univariate logistic regression analysis revealed that a variety of parameters at admission were associated with an increased risk of a desaturation event. A subset of patients were studied to eliminate potential bias, that ferritin ≥ 280 μg/L (p=0.029), LDH ≥ 240 U/L (p=0.029), pneumonia volume (p=0.021), and extent (p=0.030) by AI, and visual severity scores (p=0.042) were the predictive parameters for worsening oxygenation in a sex-, age-, and comorbid illness-matched case-control study using propensity score (n=52).
Our study presents initial CT evaluated by AI or visual severity scoring as well as serum markers of inflammation at admission are significantly associated with worsening oxygenation in this COVID-19 pneumonia cohort.
Key Words: Pneumonia, COVID-19, Computed tomography, artificial intelligence, Oxygenation

Article category

Browse all articles >


Browse all articles >

Editorial Office
101-605, 58, Banpo-daero, Seocho-gu (Seocho-dong, Seocho Art-Xi), Seoul 06652, Korea
Tel: +82-2-575-3825, +82-2-576-5347    Fax: +82-2-572-6683    E-mail:                

Copyright © 2021 by The Korean Academy of Tuberculosis and Respiratory Diseases. All rights reserved.

Developed in M2community

Close layer
prev next