[Correlation between early inflammation indicators and the severity of coronavirus disease 2019]

doi:10.3760/cma.j.cn121430-20200515-00387

科研成果详情

题名	[Correlation between early inflammation indicators and the severity of coronavirus disease 2019]
其他题名	Correlation between early inflammation indicators and the severity of coronavirus disease 2019
作者	Yong Li 1; Suhan Lin 1; Yueying Zhou 2; Jingye Pan3; Yuxi Chen 1
发表日期	2021-02-01
发表期刊	Zhonghua wei zhong bing ji jiu yi xue 影响因子和分区
语种	英语
原始文献类型	期刊论文
关键词	新型冠状病毒肺炎炎症指标 C-反应蛋白预测病毒性肺炎死亡风险模型评分
其他关键词	Coronavirus disease 2019 ; Inflammation index ; C-reactive protein ; MuLBSTA score
摘要	Objective:To explore the correlation between early inflammation indicators and the severity of coronavirus disease 2019 (COVID-19). Methods:A retrospective study was conducted. Patients with COVID-19 admitted to Wenzhou Central Hospital from January 17 to February 14, 2020 were enrolled. The general information, chest CT before admission, the first laboratory parameters and chest CT within 24 hours after admission were collected. Patients were followed up for 30 days after the first onset of dyspnea or pulmonary imaging showed that the lesions progressed more than 50% within 24 to 48 hours (according to the criteria for severe cases) as the study endpoint. According to the endpoint, the patients were divided into two groups: mild type/common type group and severe/critical group, and the differences in general information and inflammation index of the two groups were compared. Logistic regression was used to analyze the inflammation index and the severity of COVID-19. Receiver operating characteristic (ROC) curve was draw to evaluate the predictive value of early inflammation indicators for severe/critical in patients with COVID-19. Results:A total of 140 patients with COVID-19 were included, 74 males and 66 females; the average age was (45±14) years old; 6 cases (4.3%) of mild type, 107 cases (76.4%) of common type, and 22 cases (15.7%) of severe type, 5 cases (3.6%) were critical. There were significantly differences in ages (years old: 43±13 vs. 57±13), the proportion of patients with one chronic disease (17.7% vs. 55.6%), C-reactive protein [CRP (mg/L): 7.3 (2.3, 21.0) vs. 40.1 (18.8, 62.6)], lymphocyte count [LYM (×109/L): 1.3 (1.0, 1.8) vs. 0.8 (0.7, 1.1)], the neutrophil/lymphocyte ratio [NLR: 2.1 (1.6, 3.0) vs. 3.1 (2.2, 8.8)] and multilobularinltration, hypo-lymphocytosis, bacterial coinfection, smoking history, hyper-tension and age [MuLBSTA score: 5.0 (3.0, 5.0) vs. 5.0 (5.0, 7.0)] between mild/common group and severe/critical group (all P < 0.05). Univariate Logistic regression analysis showed that CRP, NLR, MuLBSTA score, age, and whether chronic diseases were associated with the severity of COVID-19 [odds ratio (OR) and 95% confidence interval (95%CI) were 1.037 (1.020-1.055), 1.374 (1.123-1.680), 1.574 (1.296-1.911), 1.082 (1.042-1.125), 6.393 (2.551-16.023), respectively, all P < 0.01]. Further multivariate Logistic regression analysis showed that CRP and MuLBSTA score were risk factors for the development of COVID-19 to severe/critical cases [OR and 95%CI were 1.024 (1.002-1.048) and 1.321 (1.027-1.699) respectively, both P < 0.05]. ROC curve analysis showed that the area under the curve for CRP and MuLBSTA score to predict severe/critical cases were both 0.818, and the best cut-off points were 27.4 mg/L and 6.0 points, respectively. Conclusions:CRP and MuLBSTA score are related to the severity of COVID-19, and may have good independent predictive ability for the development of severe/critical illness.
其他摘要	Objective To explore the correlation between early inflammation indicators and the severity of coronavirus disease 2019 (COVID-19). Methods A retrospective study was conducted. Patients with COVID-19 admitted to Wenzhou Central Hospital from January 17 to February 14, 2020 were enrolled. The general information, chest CT before admission, the first laboratory parameters and chest CT within 24 hours after admission were collected. Patients were followed up for 30 days after the first onset of dyspnea or pulmonary imaging showed that the lesions progressed more than 50% within 24 to 48 hours (according to the criteria for severe cases) as the study endpoint. According to the endpoint, the patients were divided into two groups: mild type/common type group and severe/critical group, and the differences in general information and inflammation index of the two groups were compared. Logistic regression was used to analyze the inflammation index and the severity of COVID-19. Receiver operating characteristic (ROC) curve was draw to evaluate the predictive value of early inflammation indicators for severe/critical in patients with COVID-19. Results A total of 140 patients with COVID-19 were included, 74 males and 66 females; the average age was (45 ± 14) years old; 6 cases (4.3%) of mild type, 107 cases (76.4%) of common type, and 22 cases (15.7%) of severe type, 5 cases (3.6%) were critical. There were significantly differences in ages (years old: 43 ± 13 vs. 57 ± 13),the proportion of patients with one chronic disease (17.7% vs. 55.6%), C-reactive protein [CRP (mg/L): 7.3 (2.3, 21.0) vs. 40.1 (18.8, 62.6)], lymphocyte count [LYM (× 10~9/L): 1.3 (1.0,1.8) vs. 0.8 (0.7, 1.1)], the neutrophil/lymphocyte ratio [NLR: 2.1 (1.6,3.0) vs. 3.1 (2.2, 8.8)] and multilobularinltration, hypo-lymphocytosis, bacterial coinfection, smoking history, hyper-tension and age [MuLBSTA score: 5.0 (3.0, 5.0) vs. 5.0 (5.0, 7.0)] between mild/common group and severe/critical group (all P < 0.05). Univariate Logistic regression analysis showed that CRP, NLR, MuLBSTA score, age, and whether chronic diseases were associated with the severity of COVID-19 [odds ratio (OR) and 95% confidence interval (95%CI) were 1.037 (1.020-1.055), 1.374 (1.123-1.680), 1.574 (1.296-1.911), 1.082 (1.042-1.125), 6.393 (2.551-16.023), respectively, all P < 0.01]. Further multivariate Logistic regression analysis showed that CRP and MuLBSTA score were risk factors for the development of COVID-19 to severe/critical rases [OR and 95%CI were 1.024 (1.002-1.048) and 1.321 (1.027-1.699) respectively, both P < 0.05]. ROC curve analysis showed that the area under the curve for CRP and MuLBSTA score to predict severe/critical cases were both 0.818, and the best cut-off points were 27.4 mg/L and 6.0 points, respectively. Conclusion CRP and MuLBSTA score are related to the severity of COVID-19, and may have good independent predictive ability for the development of severe/critical illness.
资助项目	浙江省医学创新学科建设项目
出版者	Heilongjiang Institute of Science and Technology Information
ISSN	2095-4352
卷号	33 期号:2 页码:145-149.
DOI	10.3760/cma.j.cn121430-20200515-00387
页数	5
收录类别	PUBMED ; CSCD ; 万方 ; SCOPUS ; ISTIC ; PKU ; 北大核心
学科领域	医药、卫生
URL	查看原文
CSCD记录号	CSCD:6913317
PubMed ID	33729130
SCOPUSEID	2-s2.0-85103056664
通讯作者地址	[Yuxi, Chen]Department of Emergency,Wenzhou Central Hospital,Wenzhou,325000,China
Scopus学科分类	Critical Care and Intensive Care Medicine
引用统计
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/34463
专题	附属第一医院_重症医学科（ICU）
作者单位	1.Department of Emergency, Wenzhou Central Hospital, Wenzhou 325000, Zhejiang, China.; 2.Department of Infectious Diseases, Wenzhou Central Hospital, Wenzhou 325000, Zhejiang, China.; 3.Department of Intensive Care Unit, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang, China. Corresponding author: Chen Yuxi, Email: 18267739218@163.com.
推荐引用方式 GB/T 7714	Yong Li,Suhan Lin,Yueying Zhou,et al. [Correlation between early inflammation indicators and the severity of coronavirus disease 2019][J]. Zhonghua wei zhong bing ji jiu yi xue,2021,33(2):145-149..
APA	Yong Li, Suhan Lin, Yueying Zhou, Jingye Pan, & Yuxi Chen. (2021). [Correlation between early inflammation indicators and the severity of coronavirus disease 2019]. Zhonghua wei zhong bing ji jiu yi xue, 33(2), 145-149..
MLA	Yong Li,et al."[Correlation between early inflammation indicators and the severity of coronavirus disease 2019]".Zhonghua wei zhong bing ji jiu yi xue 33.2(2021):145-149..