title: Classification of dengue illness based on readily available laboratory data.
abstract: The aim of this study was to examine retrospective dengue-illness classification using only clinical laboratory data, without relying on X-ray, ultrasound, or percent hemoconcentration. We analyzed data from a study of children who presented with acute febrile illness to two hospitals in Thailand. Multivariable logistic regression models were used to distinguish: (1) dengue hemorrhagic fever (DHF) versus dengue fever (DF), (2) DHF versus DF + other febrile illness (OFI), (3) dengue versus OFI, and (4) severe dengue versus non-severe dengue + OFI. Data from the second hospital served as a validation set. There were 1,227 patients in the analysis. The sensitivity of the models ranged from 89.2% (dengue versus OFI) to 79.6% (DHF versus DF). The models showed high sensitivity in the validation dataset. These models could be used to calculate a probability and classify patients based on readily available clinical laboratory data, and they will need to be validated in other dengue-endemic regions.
authors.affiliation: Center for Infectious Disease and Vaccine Research and Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts, USA. James.Potts@umassmed.edu
authors.forename: James A
authors.initials: JA
authors.lastname: Potts
authors.forename: Stephen J
authors.initials: SJ
authors.lastname: Thomas
authors.forename: Anon
authors.initials: A
authors.lastname: Srikiatkhachorn
authors.forename: Pra-on
authors.initials: PO
authors.lastname: Supradish
authors.forename: Wenjun
authors.initials: W
authors.lastname: Li
authors.forename: Ananda
authors.initials: A
authors.lastname: Nisalak
authors.forename: Suchitra
authors.initials: S
authors.lastname: Nimmannitya
authors.forename: Timothy P
authors.initials: TP
authors.lastname: Endy
authors.forename: Daniel H
authors.initials: DH
authors.lastname: Libraty
authors.forename: Robert V
authors.initials: RV
authors.lastname: Gibbons
authors.forename: Sharone
authors.initials: S
authors.lastname: Green
authors.forename: Alan L
authors.initials: AL
authors.lastname: Rothman
authors.forename: Siripen
authors.initials: S
authors.lastname: Kalayanarooj
mesh_terms: D000293:Adolescent; D000465:Algorithms; D002648:Child; D002675:Child, Preschool; D003715:Dengue / Q000145:classification* / Q000175:diagnosis*; D005260:Female; D006801:Humans; D007223:Infant; D008297:Male; D015999:Multivariate Analysis; D016017:Odds Ratio; D010820:Physicians; D012189:Retrospective Studies; D012307:Risk Factors; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D014944:World Health Organization