the Value of Chest CT scan Findings in Predicting Mortality and ICU Admission in COVID-19 in the Elderly

Author:

Zandieh Zhale1ORCID

Affiliation:

1. Iranian Research Center on Ageing, and Assistant Professor of Geriatric Medicine, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran

Abstract

Abstract Introduction: The novel coronavirus pandemic has taken many people’s lives globally, which has been worse in vulnerable groups. The elderly showed higher mortality rate during the pandemic, compared with other age groups. A Chest Computed Tomography (CT) scan has been implemented as a diagnostic tool in Coronavirus Disease 2019 (COVID-19); however, the mortality increased in the presence of some chest CT scan manifestations. Materials and methods: This is a retrospective cross-sectional study. 411 COVID-19 patients, aged 60 years and above, analyzing demographic characteristics (age and gender), the severity (ICU admission, non-ICU admission), the outcomes (deceased or recovered), and chest CT scan findings (typical, indeterminate, and atypical) in this population. Results: 411 patients entered the study; 52.3% females, 47.7% males. The average age of the total population was 73.5± 8.75 years. 19% of the patients were admitted to ICU. 24.8% of the subjects did not survive. 76.1% of subjects showed typical chest CT scan findings of COVID, while 15.6 were indeterminate and in 8.3% atypical. The mortality rate of 60-75 years was 19.8%, and 76-80, and >80 were 34% and 35.4% respectively. Mortality with typical findings was 21.4%, and with indeterminate findings, 28.1%, while with atypical was 50%. Mortality in ICU admitted patients was 78.2%. The frequencies of atypical finding in ICU cases was 15.4%, and in non-ICU cases was 6.6%. Conclusion: Mortality significantly increased with age and ICU admission. Atypical chest CT scan findings were accompanied by higher mortality and ICU admission that proved their poor prognostic value. MeSH terms: COVID-19, SARS-CoV-2, Computed Tomography, Aged, Mortality, Prognosis

Publisher

Research Square Platform LLC

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