The Role of Inflammatory Factors in the Covid-19 Disease

Fesharaki Mj, Eslami, G. Sandgol, B. Gharaei, Mohammad Vahidi, B. Rezaei, S. Abdi, Ali Pirsalehi, Dorsa Shirini
{"title":"The Role of Inflammatory Factors in the Covid-19 Disease","authors":"Fesharaki Mj, Eslami, G. Sandgol, B. Gharaei, Mohammad Vahidi, B. Rezaei, S. Abdi, Ali Pirsalehi, Dorsa Shirini","doi":"10.26420/austinjinfectdis.2021.1055","DOIUrl":null,"url":null,"abstract":"Late in 2019 a new pandemic was caused by a novel coronavirus which was later named as Covid-19 by WHO. Regarding the unknown behavior of the disease finding some predicting factors was important so it could be possible to curb the mortality and morbidity risk of the disease. Later studies showed the important role of inflammatory factors in the process of the disease. In this retrospective, multicenter study, 1199 adult patients were randomly selected. Patients were divided to three main groups: Severe/Moderate, ICU add/Non- ICU add and Expired/Alive. The clinical data (including heart rate, respiratory rate, systolic blood pressure and diastolic blood pressure) and the laboratory findings (including NLR, PLR, D-dimer, Troponin, and CRP) of their first date of admission were studied from their documents. The mean of each factor was compared within each group and the binary logistic regression was done for each factor. ROC curves were drawn separately based on the results of the binary logistic regression analysis (P-value<0.05). Out of 1199 patients, 908 were in the severe group, 143 were ICU added and 144 were expired. Age and clinical factors were significantly higher (P-value=0.000) in the severe, ICU add, and expired groups. All the inflammatory factors were significantly higher in the severe group (P-value=0.000), were higher among ICU add patients with statistical significance of CRP, NLR, and PLR (P-value = 0.000, 0.000 and 0.001 respectively), and were higher in the expired group with the statistically significant difference in CRP, Troponin, NLR, and PLR (P-value=0.000).","PeriodicalId":346223,"journal":{"name":"Austin Journal of Infectious Diseases","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Austin Journal of Infectious Diseases","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26420/austinjinfectdis.2021.1055","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Late in 2019 a new pandemic was caused by a novel coronavirus which was later named as Covid-19 by WHO. Regarding the unknown behavior of the disease finding some predicting factors was important so it could be possible to curb the mortality and morbidity risk of the disease. Later studies showed the important role of inflammatory factors in the process of the disease. In this retrospective, multicenter study, 1199 adult patients were randomly selected. Patients were divided to three main groups: Severe/Moderate, ICU add/Non- ICU add and Expired/Alive. The clinical data (including heart rate, respiratory rate, systolic blood pressure and diastolic blood pressure) and the laboratory findings (including NLR, PLR, D-dimer, Troponin, and CRP) of their first date of admission were studied from their documents. The mean of each factor was compared within each group and the binary logistic regression was done for each factor. ROC curves were drawn separately based on the results of the binary logistic regression analysis (P-value<0.05). Out of 1199 patients, 908 were in the severe group, 143 were ICU added and 144 were expired. Age and clinical factors were significantly higher (P-value=0.000) in the severe, ICU add, and expired groups. All the inflammatory factors were significantly higher in the severe group (P-value=0.000), were higher among ICU add patients with statistical significance of CRP, NLR, and PLR (P-value = 0.000, 0.000 and 0.001 respectively), and were higher in the expired group with the statistically significant difference in CRP, Troponin, NLR, and PLR (P-value=0.000).
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
炎症因子在Covid-19疾病中的作用
2019年底,一种新型冠状病毒引发了一场新的大流行,世卫组织后来将其命名为Covid-19。对于疾病的未知行为,寻找一些预测因素是很重要的,因此有可能控制疾病的死亡率和发病率风险。后来的研究显示了炎症因子在疾病过程中的重要作用。在这项回顾性的多中心研究中,随机选择了1199名成年患者。患者分为重度/中度、加ICU /非加ICU、过期/存活三组。对患者入院当日的临床资料(包括心率、呼吸频率、收缩压、舒张压)和实验室结果(包括NLR、PLR、d -二聚体、肌钙蛋白、CRP)进行研究。比较各组内各因素的均值,并对各因素进行二元logistic回归。根据二元logistic回归分析结果分别绘制ROC曲线(p值<0.05)。1199例患者中,重症组908例,加ICU 143例,死亡144例。重症组、加ICU组、过期组年龄及临床因素差异均显著高于对照组(p值=0.000)。所有炎症因子在重症组均显著增高(p值=0.000),ICU加护组CRP、NLR、PLR均增高,差异有统计学意义(p值分别为0.000、0.000、0.001),过期组均增高,差异有统计学意义(p值=0.000),CRP、Troponin、NLR、PLR均增高,差异有统计学意义(p值=0.000)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Outcome and Risk Factors for Acquisition of Multi-Drug Resistant Organisms among COVID-19 Patients, A Single Center Case Control Study How does the Geocosmos Control the Viruses in Biosphere: DNA, Ionospheric Microwaves and Water A Mouse Model of Yellow Fever Virus Infection for Study of Pathogenesis and Development of Vaccines and Therapeutics The Pathological Changes in Osteoarthritis and Rheumatoid Arthritis Joint Diseases The Role of the NETosis Phenomena as a Function of Neutrophils in the Pathogenesis of Infection and Cancer
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1