Prediction of COVID-19 deterioration in high-risk patients at diagnosis: an early warning score for advanced COVID-19 developed by machine learning

被引：0
作者：
Carolin E. M. Jakob
Ujjwal Mukund Mahajan
Marcus Oswald
Melanie Stecher
Maximilian Schons
Julia Mayerle
Siegbert Rieg
Mathias Pletz
Uta Merle
Kai Wille
Stefan Borgmann
Christoph D. Spinner
Sebastian Dolff
Clemens Scherer
Lisa Pilgram
Maria Rüthrich
Frank Hanses
Martin Hower
Richard Strauß
Steffen Massberg
Ahmet Görkem Er
Norma Jung
Jörg Janne Vehreschild
Hans Stubbe
Lukas Tometten
Rainer König
机构：
[1] University of Cologne,Department I of Internal Medicine, University Hospital of Cologne
[2] Partner Site Bonn-Cologne,German Center for Infection Research
[3] LMU Munich,Department of Medicine II, University Hospital
[4] Jena University Hospital,Institute for Infectious Diseases and Infection Control, RG Systemsbiology
[5] University of Freiburg,Division of Infectious Diseases, Department of Medicine II, Faculty of Medicine, Medical Center
[6] University Hospital Heidelberg,University of Freiburg
[7] University of Bochum,Department of Internal Medicine IV
[8] Ingolstadt Hospital,Johannes Wesling Hospital Minden, University Clinic for Hematology, Oncology, Hemostaseology and Palliative Care
[9] Technical University of Munich,Department of Infectious Diseases and Infection Control
[10] University Hospital Essen,Department of Internal Medicine II, School of Medicine, University Hospital Rechts Der Isar
[11] LMU Munich,Department of Infectious Diseases, West German Centre of Infectious Diseases
[12] Goethe University Frankfurt,Department of Medicine I, University Hospital
[13] University Hospital Jena,Department of Internal Medicine, Hematology and Oncology
[14] University Hospital Regensburg,Department of Internal Medicine II, Hematology and Medical Oncology
[15] University Hospital Regensburg,Emergency Department
[16] Klinikum Dortmund gGmbH,Department of Infection Prevention and Infectious Diseases
[17] University Hospital Erlangen,Department of Pneumology, Infectious Diseases and Intensive Care
[18] Hacettepe University Faculty of Medicine,Department of Medicine 1
来源：
Infection | 2022年 / 50卷
关键词：
COVID-19; Machine learning; Predictive model; Advanced stage; Complicated stage; LEOSS;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：359 / 370
页数：11
相关论文
共 127 条
[1]  
Guan W(2020)The species severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2 Nat Microbiol 5 536-544
[2]  
Ni Z(2020)Clinical characteristics of coronavirus disease 2019 in China N Engl J Med 382 1708-1720
[3]  
Hu Y(2020)Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study Lancet 395 1054-1062
[4]  
Liang W(2020)Development and validation of a clinical risk score to predict the occurrence of critical illness in hospitalized patients with COVID-19 JAMA Intern Med 180 1081-2080
[5]  
Ou C(2021)Evaluation and improvement of the National Early Warning Score (NEWS2) for COVID-19: a multi-hospital study BMC Med 19 23-1766
[6]  
He J(2020)Predictive performance of SOFA and qSOFA for in-hospital mortality in severe novel coronavirus disease Am J Emerg Med 38 2074-887
[7]  
Zhou F(2020)Risk factors for disease progression in COVID-19 patients BMC Infect Dis 20 445-280
[8]  
Yu T(2020)Systematic evaluation and external validation of 22 prognostic models among hospitalised adults with COVID-19: an observational cohort study Eur Respir J 56 2003498-605
[9]  
Du R(2020)Mild or moderate Covid-19 N Engl J Med 383 1757-745
[10]  
Fan G(2020)Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention JAMA 323 1239-73
12345678910