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山东新冠肺炎重症和危重症患者的临床特征:一项回顾性队列研究

Clinical Features for Severely and Critically Ill Patients with COVID-19 in Shandong: A Retrospective Cohort Study.

作者信息

Zhou Shengyu, Xu Jiawei, Sun Wenqing, Zhang Jintao, Zhang Fayan, Zhao Xuesong, Wang Ximing, Zhang Wei, Li Yu, Ning Kang, Pan Yun, Liu Tian, Zhao Jiping, Yu Jiguang, Sun Yunbo, Gao Feng, Zhang Rumin, Fu Chunsheng, Sun Yu, Ouyang Xiuhe, Zhang Fusen, Hu Qing, Teng Haifeng, Li Yun, Zhang Chunke, Tan Wei, Li Jinlai, Yin Lixia, Dong Liang, Wang Chunting

机构信息

Department of Respiratory and Critical Care Medicine, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China.

Clinical Nursing Department, School of Nursing, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China.

出版信息

Ther Clin Risk Manag. 2021 Jan 6;17:9-21. doi: 10.2147/TCRM.S280079. eCollection 2021.

Abstract

BACKGROUND

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel pathogen, has caused an outbreak of coronavirus disease 2019 (COVID-19) that has spread rapidly around the world. Determining the risk factors for death and the differences in clinical features between severely ill and critically ill patients with SARS-CoV-2 pneumonia has become increasingly important.

AIM

This study was intended to provide insight into the difference between severely ill and critically ill patients with SARS-CoV-2 pneumonia.

METHODS

In this retrospective, multicenter cohort study, we enrolled 62 seriously ill patients with SARS-CoV-2 pneumonia who had been diagnosed by March 12, 2020. Clinical data, laboratory indexes, chest images, and treatment strategies collected from routine medical records were compared between severely ill and critically ill patients. Univariate and multivariate logistic regression analyses were also conducted to identify the risk factors associated with the progression of patients with severe COVID-19.

RESULTS

Of the 62 patients with severe or critical illness, including 7 who died, 30 (48%) patients had underlying diseases, of which the most common was cardiovascular disease (hypertension, 34%, and coronary heart disease, 5%). Compared to patients with severe disease, those with critical disease had distinctly higher white blood cell counts, procalcitonin levels, and D-dimer levels, and lower hemoglobin levels and lymphocyte counts. Multivariate regression showed that a lymphocyte count less than 10/L (odds ratio 20.92, 95% CI 1.76-248.18; p=0.02) at admission increased the risk of developing a critical illness.

CONCLUSION

Based on multivariate regression analysis, a lower lymphocyte count (<10/L) on admission is the most critical independent factor that is closely associated with an increased risk of progression to critical illness. Age, underlying diseases, especially hypertension and coronary heart disease, elevated D-dimer, decreased hemoglobin, and SOFA score, and APACH score also need to be taken into account for predicting disease progression. Blood cell counts and procalcitonin levels for the later secondary bacterial infection have a certain reference values.

摘要

背景

严重急性呼吸综合征冠状病毒2(SARS-CoV-2)是一种新型病原体,已引发2019冠状病毒病(COVID-19)疫情,并在全球迅速蔓延。确定SARS-CoV-2肺炎重症和危重症患者的死亡风险因素及临床特征差异变得越来越重要。

目的

本研究旨在深入了解SARS-CoV-2肺炎重症和危重症患者之间的差异。

方法

在这项回顾性多中心队列研究中,我们纳入了62例2020年3月12日前确诊的SARS-CoV-2肺炎重症患者。比较重症和危重症患者从常规病历中收集的临床资料、实验室指标、胸部影像及治疗策略。还进行了单因素和多因素逻辑回归分析,以确定与重症COVID-19患者病情进展相关的风险因素。

结果

62例重症或危重症患者中,7例死亡,30例(48%)患者有基础疾病,其中最常见的是心血管疾病(高血压,34%;冠心病,5%)。与重症患者相比,危重症患者的白细胞计数、降钙素原水平和D-二聚体水平明显更高,血红蛋白水平和淋巴细胞计数更低。多因素回归显示,入院时淋巴细胞计数低于10/L(比值比20.92,95%置信区间1.76 - 248.18;p = 0.02)会增加发展为危重症的风险。

结论

基于多因素回归分析,入院时较低的淋巴细胞计数(<10/L)是与进展为危重症风险增加密切相关的最关键独立因素。年龄、基础疾病,尤其是高血压和冠心病、D-二聚体升高、血红蛋白降低、序贯器官衰竭评估(SOFA)评分和急性生理与慢性健康状况评分系统(APACH)评分在预测疾病进展时也需要考虑。血细胞计数和降钙素原水平对后期继发细菌感染有一定参考价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f08/7797329/cf6d90266aee/TCRM-17-9-g0001.jpg

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