Title

Clinical and laboratory features that distinguish dengue from other febrile illnesses in endemic populations

UMMS Affiliation

Center for Infectious Disease and Vaccine Research; Department of Medicine, Division of Infectious Diseases and Immunology; Graduate School of Biomedical Sciences, Clinical and Population Health Research Program

Date

9-23-2008

Document Type

Article

Medical Subject Headings

Adult; Biological Markers; Biomedical Research; Child; Clinical Trials as Topic; Dengue; Dengue Hemorrhagic Fever; Dengue Virus; Developed Countries; Diagnosis, Differential; Female; Fever; Humans; Male; Predictive Value of Tests

Abstract

OBJECTIVE: Clinicians in resource-poor countries need to identify patients with dengue using readily-available data. The objective of this systematic review was to identify clinical and laboratory features that differentiate dengue fever (DF) and/or dengue haemorrhagic fever (DHF) from other febrile illnesses (OFI) in dengue-endemic populations.

METHOD: Systematic review of the literature from 1990 to 30 October 2007 including English publications comparing dengue and OFI.

RESULTS: Among 49 studies reviewed, 34 did not meet our criteria for inclusion. Of the 15 studies included, 10 were prospective cohort studies and five were case-control studies. Seven studies assessed all ages, four assessed children only, and four assessed adults only. Patients with dengue had significantly lower platelet, white blood cell (WBC) and neutrophil counts, and a higher frequency of petechiae than OFI patients. Higher frequencies of myalgia, rash, haemorrhagic signs, lethargy/prostration, and arthralgia/joint pain and higher haematocrits were reported in adult patients with dengue but not in children. Most multivariable models included platelet count, WBC, rash, and signs of liver damage; however, none had high statistical validity and none considered changes in clinical features over the course of illness.

CONCLUSIONS: Several individual clinical and laboratory variables distinguish dengue from OFI; however, some variables may be dependent on age. No published multivariable model has been validated. Study design, populations, diagnostic criteria, and data collection methods differed widely across studies, and the majority of studies did not identify specific aetiologies of OFIs. More prospective studies are needed to construct a valid and generalizable algorithm to guide the differential diagnosis of dengue in endemic countries.

Rights and Permissions

Citation: Trop Med Int Health. 2008 Nov;13(11):1328-40. Epub 2008 Sep 16. Link to article on publisher's site

Related Resources

Link to Article in PubMed

PubMed ID

18803612