Unveiling the prognostic power of early symptomology in moderate to severe form of COVID-19 disease

Author:

Beronja BrankoORCID,Stevanović Olja,Nikolić Nataša,Todorović Nevena,Filipović AnaORCID,Simić Jelena,Gazibara TatjanaORCID,Dotlić JelenaORCID,Lukić Biljana,Karan Aleksandra,Milošević IvanaORCID

Abstract

Introduction/Aim: It is not entirely clear what initial symptoms could predict poorer COVID-19 outcomes. The purpose of this study was to identify the initial COVID-19 symptoms associated with the need for an intensive care unit (ICU) treatment and having fatal outcomes of COVID-19. Methods: A retrospective analysis was conducted on patients who were hospitalized in two health care facilities (in Belgrade and Sombor) from March 2021 to April 2022. Data were collected from the electronic medical records. The main outcomes were treatment in the ICU and ICU mortality. The Cox proportional hazard model was used to identify the initial COVID-19 symptoms associated with the ICU treatment and mortality. Results: This research included 457 patients. The average age of patients was 63.77±13.75 years. The most common initial symptoms of COVID-19 were fever (85.1%), cough (77.2%), and fatigue (54.5%). The least common initial symptoms were hoarseness (2.8%), difficulty swallowing (2.8%), and eye itching (1.7%). The adjusted model showed that being older and having chest pain were independently associated with needing the ICU treatment. Furthermore, being older, having shortness of breath, headache and diarrhea, but absence of nasal congestion, were independently associated with poorer survival. Conclusion: The results of this study emphasize the importance of vigilant monitoring and swift intervention in patients presenting with chest pain, shortness of breath, headache, and diarrhea, particularly among older people.

Publisher

Centre for Evaluation in Education and Science (CEON/CEES)

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