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A screening tool for dengue fever in children

  • Wen Pin Lai
  • , Tsair Wei Chien
  • , Hung Jung Lin
  • , Shih Bin Su
  • , Chih Hung Chang*
  • *Corresponding author for this work
  • Chi-Mei Medical Center
  • Chia-Nan University of Pharmacy and Science
  • Southern Taiwan University of Science and Technology
  • Northwestern University
  • China Medical University Taichung

Research output: Contribution to journalJournal Article peer-review

6 Scopus citations

Abstract

Background: Dengue fever (DF) is a significant public health issue in Asia. We aimed to use clinical and laboratory data to derive a rapid and accurate case-finding tool for DF in children. Methods: This retrospective study used 24 DF-related characteristics and clinical features (17 clinical; 7 laboratory) of 177 pediatric patients (69 diagnosed with DF). Data were psychometrically evaluated using a Rasch measurement model, and their values for predicting DF risk were evaluated. Results: The 14-item scale (DF-14) fit the measurement model in assessing the likelihood of DF. When a cutoff point of-1.15 (in logit) of the DF-14 scale was used, the sensitivity was 0.76 and the specificity was 0.76. The area under the curve was 0.93 (95% confidence interval: 0.89-0.97). The DF-2 scale, comprised of white blood cell and platelet counts, was simple but clinically useful. Conclusions: Simple laboratory data, such as those in the DF-2 and DF-14 scales, are useful for the early detection of DF risk in children. The DF-14 scale helps discriminate DF from other febrile illnesses and may eliminate the need for a costly and time-consuming dengue confirmation test.

Original languageEnglish
Pages (from-to)320-324
Number of pages5
JournalPediatric Infectious Disease Journal
Volume32
Issue number4
DOIs
StatePublished - 04 2013
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Dengue fever
  • Dengue serologic test
  • Rasch analysis
  • Receiver operating characteristic curve

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