title: Distinguishing dengue fever from other infections on the basis of simple clinical and laboratory features: application of logistic regression analysis.
abstract: BACKGROUND
  Dengue fever is a frequent cause of admission to hospital in South East Asia, however many of the clinical characteristics and abnormalities on laboratory investigations at presentation are found in other common infections.
  
  
  OBJECTIVE
  To describe the clinical and laboratory features of dengue fever and other common febrile illnesses in Singapore.
  
  
  METHODS
  We performed a prospective study of consecutive adult admissions to an infectious diseases hospital. Logistic regression analysis was used to identify symptoms, physical signs and laboratory features that differentiated dengue fever from other febrile illnesses within the first 2 days of admission.
  
  
  RESULTS
  Of the 381 patients studied, 148 had serologically confirmed dengue fever. Most of these had uncomplicated dengue fever, and only 9% had dengue haemorrhagic fever. A model based on clinical features alone (including a variety of cutaneous signs, pulse rate and the presence of pharyngeal injection) was able to differentiate dengue fever from other infections with a sensitivity of 74% and specificity of 79%. A model based on clinical features (rash) and laboratory parameters (white cell count, haemoglobin, prothrombin time, creatinine and bilirubin levels), achieved a sensitivity of 84% and specificity of 85%.
  
  
  CONCLUSIONS
  A combination of simple clinical and laboratory parameters are potentially able to predict dengue fever with a high level of accuracy in adults presenting to hospital with febrile illnesses in Singapore.
authors.affiliation: Department of Infectious Diseases, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Singapore 308433, Singapore. davidr.chadwick@stees.nhs.uk
authors.forename: David
authors.initials: D
authors.lastname: Chadwick
authors.forename: Barbara
authors.initials: B
authors.lastname: Arch
authors.forename: Annelies
authors.initials: A
authors.lastname: Wilder-Smith
authors.forename: Nicholas
authors.initials: N
authors.lastname: Paton
mesh_terms: D000328:Adult; D003715:Dengue / Q000175:diagnosis*; D006801:Humans; D007753:Laboratories; D008954:Models, Biological; D011446:Prospective Studies; D012044:Regression Analysis