Infection & chemotherapy最新文献

筛选
英文 中文
Chest Computed Tomography Severity Score to Predict Adverse Outcomes of Patients with COVID-19. 胸部计算机断层扫描严重程度评分预测COVID-19患者不良结局
IF 4.2
Infection & chemotherapy Pub Date : 2021-06-01 DOI: 10.3947/ic.2021.0024
Somayeh Hajiahmadi, Azin Shayganfar, Mohsen Janghorbani, Mahsa Masjedi Esfahani, Mehdi Mahnam, Nagar Bakhtiarvand, Ramin Sami, Nilufar Khademi, Mehrnegar Dehghani
{"title":"Chest Computed Tomography Severity Score to Predict Adverse Outcomes of Patients with COVID-19.","authors":"Somayeh Hajiahmadi,&nbsp;Azin Shayganfar,&nbsp;Mohsen Janghorbani,&nbsp;Mahsa Masjedi Esfahani,&nbsp;Mehdi Mahnam,&nbsp;Nagar Bakhtiarvand,&nbsp;Ramin Sami,&nbsp;Nilufar Khademi,&nbsp;Mehrnegar Dehghani","doi":"10.3947/ic.2021.0024","DOIUrl":"https://doi.org/10.3947/ic.2021.0024","url":null,"abstract":"<p><strong>Background: </strong>The novel coronavirus disease 2019 (COVID-19) continues to wreak havoc worldwide. This study assessed the ability of chest computed tomography (CT) severity score (CSS) to predict intensive care unit (ICU) admission and mortality in patients with COVID-19 pneumonia.</p><p><strong>Materials and methods: </strong>A total of 192 consecutive patients with COVID-19 pneumonia aged more than 20 years and typical CT findings and reverse-transcription polymerase chain reaction positive admitted in a tertiary hospital were included. Clinical symptoms at admission and short-term outcome were obtained. A semi-quantitative scoring system was used to evaluate the parenchymal involvement. The association between CSS, disease severity, and outcomes were evaluated. Prediction of CSS was assessed with the area under the receiver-operating characteristic (ROC) curves.</p><p><strong>Results: </strong>The incidence of admission to ICU was 22.8% in men and 14.1% in women. CSS was related to ICU admission and mortality. Areas under the ROC curves were 0.764 for total CSS. Using a stepwise binary logistic regression model, gender, age, oxygen saturation, and CSS had a significant independent relationship with ICU admission and death. Patients with CSS ≥12.5 had about four-time risk of ICU admission and death (odds ratio 1.66, 95% confidence interval 1.66 - 9.25). The multivariate regression analysis showed the superiority of CSS over other clinical information and co-morbidities.</p><p><strong>Conclusion: </strong>CSS was a strong predictor of progression to ICU admission and death and there was a substantial role of non-contrast chest CT imaging in the presence of typical features for COVID-19 pneumonia as a reliable predictor of clinical severity and patient's outcome.</p>","PeriodicalId":520645,"journal":{"name":"Infection & chemotherapy","volume":" ","pages":"308-318"},"PeriodicalIF":4.2,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/54/bf/ic-53-308.PMC8258285.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39145072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 20
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信