Establishment of a Predictive Model Related to Pathogen Invasion for Infectious Diseases and Its Diagnostic Value in Fever of Unknown Origin
作者机构:Department of Infectious DiseasesTongji HospitalTongji Medical CollegeHuazhong University of Science and Technology Wuhan 430030China Department of Epidemiology and BiostatisticsSchool of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China Department of Oncologythe Third Affiliated Hospital of Xinxiang Medical UniversityXinxiang 453000China
出 版 物:《Current Medical Science》 (当代医学科学(英文))
年 卷 期:2018年第38卷第6期
页 面:1025-1031页
核心收录:
学科分类:10[医学]
主 题:fever of unknown origin predictive model etiology empiric therapy
摘 要:The present study aimed to establish a list of parameters indicative of pathogen invasion and develop a predictive model to distinguish the etiologies of fever of unknown origin (FUO) into infectious and non-infectious *** January 2014 to September 2017,431 patients with FUO were prospectively enrolled in the study *** study established a list of 26 variables from the following 4aspects:host factors,epidemiological factors,behavioral factors,and iatrogenic *** predicted variables were included in a multivariate logistic regression analysis to develop a predictive *** predictive model and the corresponding scoring system were developed using data from the confirmed diagnoses and 9 variables were eventually *** factors were incorporated into the predictive *** model discriminated between infectious and non-infectious causes of FUO with an AUC of 0.72,sensitivity of 0.71, and specificity of *** predictive model and corresponding scoring system based on factors concerning pathogen invasion appear to be reliable screening tools to discriminate between infectious and non-infectious causes of FUO.