Clinical Factors and Quantitative CT Parameters Associated With ICU Admission in Patients of COVID-19 Pneumonia: A Multicenter Study

Frontiers in Public Health

Xiuqin Jia¹  Zhenyu Li²  Shuqin Wei³  Jingxu Xu⁴  Chencui Huang⁴  Feifei Gong⁵  Qili Zhao⁶  Huan Yu⁷  Minglei Yang⁸  Zhaoyang Fan⁹  Mingqing Kou^1,10  Wenjing Gou^1,11  Tian Yu^1,12  Yiqiao Wang^1,13  Di Wang^1,14  Penghui Sun^1,15  Sijie Li^1,15  Chengxi Yan^1,15  Qi Yang^1,15  Ying Chang^1,15  Jiali Xu^1,15 

[1] Beijing Chaoyang Hospital, Capital Medical University, Beijing, China;Central Hospital Affiliated to Xinxiang Medical University, Xinxiang, China;Central Hospital Hongxinglong Administration Bureau Youyi County, Shuangyashan, China;Department of Research Collaboration, R&D Center, Beijing Deepwise and League of PHD Technology Co., Ltd., Beijing, China;Harbin Chest Hospital, Harbin, China;Langfang People's Hospital, Hebei, China;Liangxiang Teaching Hospital, Capital Medical University, Beijing, China;Neusoft Institute of Intelligent Healthcare Technology, Beijing, China;Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States;Shanxi Provincial People's Hospital, Taiyuan, China;Sichuan Provincial People's Hospital, Chengdu, China;Sixth People's Hospital of Xinjiang Autonomous Region, Xinjiang, China;The Second Affiliated Hospital of Harbin Medical University, Harbin, China;The Third Central Hospital of Tianjin, Tianjin, China;Xuanwu Hospital, Capital Medical University, Beijing, China;

关键词: COVID-19;    computed tomography;    intensive care unit;    deep learning;    pneumonia;   

DOI  :  10.3389/fpubh.2021.648360

来源: Frontiers

【 摘 要 】

The clinical spectrum of COVID-19 pneumonia is varied. Thus, it is important to identify risk factors at an early stage for predicting deterioration that require transferring the patients to ICU. A retrospective multicenter study was conducted on COVID-19 patients admitted to designated hospitals in China from Jan 17, 2020, to Feb 17, 2020. Clinical presentation, laboratory data, and quantitative CT parameters were also collected. The result showed that increasing risks of ICU admission were associated with age > 60 years (odds ratio [OR], 12.72; 95% confidence interval [CI], 2.42–24.61; P = 0.032), coexisting conditions (OR, 5.55; 95% CI, 1.59–19.38; P = 0.007) and CT derived total opacity percentage (TOP) (OR, 8.0; 95% CI, 1.45–39.29; P = 0.016). In conclusion, older age, coexisting conditions, larger TOP at the time of hospital admission are associated with ICU admission in patients with COVID-19 pneumonia. Early monitoring the progression of the disease and implementing appropriate therapies are warranted.

【 授权许可】

CC BY