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The predictive and diagnostic accuracy of vascular endothelial growth factor and pentraxin-3 in severe dengue

Low GKK 1 , Gan SC 2 , Zainal N 3 , Naidu KD 4 , Amin-Nordin S 5 , Khoo CS 6 Show all authors , Ridzuan MI 7 , Said RM 7 , Mansor MM 7 , Zailani MH 8 , Chee HY 5 , Lim SJ 2 , Suppiah J 9 , Appu S 3 , Ismail I 3 , Zin T 2 , Te KK 2 , Hatta NM 2

Affiliations 

  • 1 a Department of Public Health , Torrens University Australia - Sydney Campus Pyrmont , Sydney , Australia
  • 2 c Department of Pre-Clinical Sciences , Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman , Selangor , Malaysia
  • 3 d Department of Pathology, Haematology Unit , Selangor , Malaysia
  • 4 e Department of Anaesthesiology , Ampang Hospital , Selangor , Malaysia
  • 5 f Department of Medical Microbiology & Parasitology , Faculty of Medicine & Health Sciences, Universiti Putra Malaysia , Selangor , Malaysia
  • 6 g Department of Medicine , Pusat Perubatan Universiti Kebangsaan Malaysia , Selangor , Malaysia
  • 7 h Emergency Department , Ampang Hospital , Selango , Malaysia
  • 8 i Pejabat Kesihatan Daerah Hulu Langat , Selangor , Malaysia
  • 9 j Virology Unit, Infectious Disease Research Centre , Institute Medical Research , Kuala Lumpur , Malaysia
Pathog Glob Health, 2018 09;112(6):334-341.
PMID: 30246621 DOI: 10.1080/20477724.2018.1516417

Abstract

This study aimed to evaluate vascular endothelial growth factor (VEGF) and pentraxin 3 (PTX-3) as predictive and diagnostic markers in differentiating severe dengue from non-severe dengue. The study was conducted in Ampang Health Clinic, Ampang Hospital and Serdang Hospital. The plasma levels of VEGF and PTX-3 were compared between severe dengue and non-severe dengue by ELISA from the day of presentation until discharged. Multiple logistic regression was used to develop predictive and diagnostic models by incorporating other clinical parameters. The receiver operating characteristics (ROC) analysis was used to assess the accuracy of the biomarkers and the developed models. Eighty-two patients were recruited, 29 with severe dengue and four died. The Area Under the Curve (AUC) was statistically significant in VEGF as diagnostic marker at Day 2 and 3 of illness with sensitivity of 80.00%-100.00% and specificity of 76.47%-80.00%. The predictive model with AUC of 0.84 (p 

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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