Evaluation of the value of chest CT severity score in assessment of COVID-19 severity and short-term prognosis

Author:

Roostaee Ayda1,Lima Zeinab Safarpour1,Aziz-Ahari Alireza1,Doosalivand Hadi1,Younesi Ladan1

Affiliation:

1. Department of Radiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran

Abstract

ABSTRACT Background: Evaluations have shown that the severity of pulmonary involvement is very important in the mortality rate of patients with coronavirus disease 2019 (COVID-19). The purpose of this study was to evaluate the value of chest CT severity score in assessment of COVID-19 severity and short-term prognosis. Materials and Methods: This study was a cross-sectional study with a sample size of 197 patients, including all patients admitted to Rasoul Akram Hospital, with positive polymerase chain reaction, to investigate the relationship between computed tomography (CT) severity score and mortality. The demographic data and CT scan findings (including the pattern, side, and distribution of involvement), co-morbidities, and lab data were collected. Finally, gathered data were analyzed by SPSS-26. Results: 119 (60.4%) patients were male, and 78 (39.6%) were female. The mean age was 58.58 ± 17.3 years. Totally, 61 patients died; of those, 41 (67.2%) were admitted to the intensive care unit (ICU), so there was a significant relation between death and ICU admission (P value = 0.000). Diabetes was the most common co-morbidity, followed by hypertension and IHD. There was no significant relation between co-morbidities and death (P value = 0.13). The most common patterns of CTs were interlobular septal thickening and ground glass opacities, and a higher CT severity score was in the second week from the onset of symptoms, which was associated with more mortality (P value < 0.05). Conclusion: Our study showed that a patient with a higher CT severity score of the second week had a higher risk of mortality. Also, association of the CT severity score, laboratory data, and symptoms could be applicable in predicting the patient’s condition.

Publisher

Medknow

Reference29 articles.

1. Tests with proven value in diagnosis of COVID-19;Hussain;Iranian Journal of Microbiology,2020

2. CT severity score in COVID-19 patients, assessment of performance in triage and outcome prediction: a comparative study of different methods;Almasi;Egyptian Journal of Radiology and Nuclear Medicine,2022

3. Diagnosis and treatment protocol for novel coronavirus pneumonia (Trial Version 7);Chinese Medical Journal,2020

4. WITHDRAWN: Potential false-positive rate among the'asymptomatic infected individuals'in close contacts of COVID-19 patients;Zhuang;Zhonghua liu xing bing xue za zhi=Zhonghua liuxingbingxue zazhi,2020

5. CT imaging features of 2019 novel coronavirus (2019-nCoV);Chung;Radiology,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3