详情页 - 聚合机构库演示平台

当前位置：首页 > 详情页

Development and Validation of a Prognostic Risk Score System for COVID-19 Inpatients: A Multi-Center Retrospective Study in China.

文献详情

资源类型：

Pubmed体系：

收录情况： ◇ 统计源期刊 ◇ EI ◇ 卓越：领军期刊

作者：

单位： [1]School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China. [2]School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China. [3]Luxembourg Centre for Systems Biomedicine, University of Luxembourg, L-4367 Belvaux, Luxembourg. [4]Department of Emergency,Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan 430030,China. [5]AMITA Health Saint Joseph Hospital Chicago, Chicago, IL 60657, USA. [6]Department of Anesthesiology,Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan 430030,China. [7]Huazhong University of Science and Technology-Wuxi Research Institute, Wuxi 214000, China. [8]Division of Cardiology,Department of Internal Medicine,Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan 430030,China. [9]Institute of Health Informatics, University College London, London, WC1E 6BT, UK. [10]Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen 518055, China. [11]Department of Infectious Diseases, Shenzhen Key Laboratory of Pathogenic Microbiology and Immunology, National Clinical Research Center for Infectious Disease, The Third People's Hospital of Shenzhen (Second Hospital Affiliated with the Southern University of Science and Technology), Shenzhen 518055, China. [12]Department of Electrical and Computer Engineering &Division of Systems Engineering & Department of Biomedical Engineering, Boston University, MA 02215, USA. [13]Department of Plant Sciences, University of Cambridge, Cambridge, CB2 1TN, UK.

出处：

DOI：

ISSN：

关键词： COVID-19 Risk score Mortality risk prediction

摘要：

Coronavirus disease 2019 (COVID-19) has become a worldwide pandemic. Hospitalized patients of COVID-19 suffer from a high mortality rate, motivating the development of convenient and practical methods that allow clinicians to promptly identify high-risk patients. Here, we have developed a risk score using clinical data from 1479 inpatients admitted to Tongji Hospital, Wuhan, China (development cohort) and externally validated with data from two other centers: 141 inpatients from Jinyintan Hospital, Wuhan, China (validation cohort 1) and 432 inpatients from The Third People's Hospital of Shenzhen, Shenzhen, China (validation cohort 2). The risk score is based on three biomarkers that are readily available in routine blood samples and can easily be translated into a probability of death. The risk score can predict the mortality of individual patients more than 12 d in advance with more than 90% accuracy across all cohorts. Moreover, the Kaplan-Meier score shows that patients can be clearly differentiated upon admission as low, intermediate, or high risk, with an area under the curve (AUC) score of 0.9551. In summary, a simple risk score has been validated to predict death in patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); it has also been validated in independent cohorts. © 2020 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company.

基金：

语种：

PubmedID：

中科院(CAS)分区：

出版当年[2019]版：

大类 | 1 区

工程技术

小类 | 1 区工程：综合

最新[2025]版：

大类 | 2 区工程技术

小类 | 2 区工程：综合

第一作者：

第一作者单位： [1]School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China.

推荐引用方式(GB/T 7714)：

APA：

MLA：

相关文献

[1]Development and Validation of a Prognostic Risk Score System for COVID-19 Inpatients: A Multi-Center Retrospective Study in China. [2]Prediction of HF-Related Mortality Risk Using Genetic Risk Score Alone and in Combination With Traditional Risk Factors [3]Early prediction of mortality risk among patients with severe COVID-19, using machine learning. [4]Early prediction of mortality risk among patients with severe COVID-19, using machine learning [5]Machine learning based early warning system enables accurate mortality risk prediction for COVID-19. [6]Author Response to "Generalizability of COVID-19 Mortality Risk Score Model" [7]The mNCP-SPI Score Predicting Risk of Severe COVID-19 among Mild-Pneumonia Patients on Admission [8]A risk score based on baseline risk factors for predicting mortality in COVID-19 patients [9]年龄和ct评分预测新冠肺炎住院患者的死亡风险:基于a-drop评分 [10]Major Characteristics of Severity and Mortality in Diabetic Patients With COVID-19 and Establishment of Severity Risk Score