...
首页> 外文期刊>Respiratory Research >Predictive factors of severe coronavirus disease 2019 in previously healthy young adults: a single-center, retrospective study
【24h】

Predictive factors of severe coronavirus disease 2019 in previously healthy young adults: a single-center, retrospective study

机译:2019年重症冠状病毒疾病预测因素在前健康的年轻人中:单中心,回顾性研究

获取原文
   

获取外文期刊封面封底 >>

       

摘要

BACKGROUND:Several previously healthy young adults have developed Coronavirus Disease 2019 (COVID-19), and a few of them progressed to the severe stage. However, the factors are not yet determined.METHOD:We retrospectively analyzed 123 previously healthy young adults diagnosed with COVID-19 from January to March 2020 in a tertiary hospital in Wuhan. Patients were classified as having mild or severe COVID-19 based on their respiratory rate, SpO 2 , and PaO 2 /FiO 2 levels. Patients' symptoms, computer tomography (CT) images, preadmission drugs received, and the serum biochemical examination on admission were compared between the mild and severe groups. Significant variables were enrolled into logistic regression model to predict the factors affecting disease severity. A receiver operating characteristic (ROC) curve was applied to validate the predictive value of predictors.RESULT:Age; temperature; anorexia; and white blood cell count, neutrophil percentage, platelet count, lymphocyte count, C-reactive protein, aspartate transaminase, creatine kinase, albumin, and fibrinogen values were significantly different between patients with mild and severe COVID-19 (P??0.05). Logistic regression analysis confirmed that lymphopenia (P?=?0.010) indicated severe prognosis in previously healthy young adults with COVID-19, with the area under the curve (AUC) was 0.791(95% Confidence Interval (CI) 0.704-0.877)(P??0.001).CONCLUSION:For previously healthy young adults with COVID-19, lymphopenia on admission can predict severe prognosis.
机译:背景:几个以前健康的年轻人已经开发了2019年冠状病毒疾病(Covid-19),其中一些人进入了严重的阶段。然而,这些因素尚未确定。方法:我们回顾性地分析了123名以前的健康年轻人,于193月到2020年3月19日在武汉一家高级医院诊断患有Covid-19。患者根据呼吸速率,SPO 2和PAO 2 / FIO 2水平分类为具有轻度或严重的Covid-19。在轻度和严重的组之间比较了患者症状,计算机断层扫描(CT)图像,预接种血清生物化学检查和血清生物化学检查。重大变量被纳入逻辑回归模型,以预测影响疾病严重程度的因素。应用接收器操作特征(ROC)曲线来验证预测器的预测值。结果:年龄;温度;厌食症;温和和严重的Covid-19患者在轻度和严重的Covid-19患者之间显着差异和白细胞计数,中性粒细胞百分比,血小板计数,淋巴细胞计数,C-反应蛋白,天冬氨酸转氨酶,肌酸激酶,白蛋白和纤维蛋白原值(P?<?0.05) 。 Logistic回归分析证实,淋巴细胞增长(p?= 0.010)表明使用Covid-19的先前健康的年轻成年人的严重预后,曲线下的区域(AUC)为0.791(95%置信区间(CI)0.704-0.877)( p?<0.001)。结论:对于使用Covid-19的先前健康的年轻成年人,入学淋巴病可以预测严重预后。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号