Multivariate time-series analysis of biomarkers from a dengue cohort offers new approaches for diagnosis and prognosis.

ABSTRACT: Dengue is a major public health problem worldwide with distinct clinical manifestations: an acute presentation (dengue fever, DF) similar to other febrile illnesses (OFI) and a more severe, life-threatening form (severe dengue, SD). Due to nonspecific clinical presentation during the early phase of dengue infection, differentiating DF from OFI has remained a challenge, and current methods to determine severity of dengue remain poor early predictors. We present a prospective clinical cohort study conducted in Caracas, Venezuela from 2001-2005, designed to determine whether clinical and hematological parameters could distinguish DF from OFI, and identify early prognostic biomarkers of SD. From 204 enrolled suspected dengue patients, there were 111 confirmed dengue cases. Piecewise mixed effe

SUBMITTER: Vasey B 

PROVIDER: S-EPMC7380649 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature