Biomarkers in differentiating clinical dengue cases: A prospective cohort study

Kim, Gary; Low, Gary Kim Kuan; Gan, Seng Chiew; Ho, Shu Cheow

doi:10.12980/jclm.3.2015j5-141

Cited by 1 publication

(2 citation statements)

References 31 publications

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“…The calculated sample size was based on the previous study conducted [7,17]. With a power of 80%, the total sample size was 90 patients.…”

Section: Discussionmentioning

confidence: 99%

“…A pilot study was conducted to evaluate five biomarkers: neopterin, vascular endothelial growth factor (VEGF), thrombomodulin, vascular cell adhesion molecule 1 and pentraxin 3 (PTX-3). VEGF and PTX-3 were the best two potential biomarkers in differentiating severe dengue from non-severe dengue cases [7]. VEGF is specifically involved in plasma leakage when the endothelial cells in CONTACT Gary Kim Kuan Low garishy@hotmail.com Department of Public Health, Torrens University Australia -Sydney Campus Pyrmont, Sydney, Australia This article has been republished with minor changes.…”

Section: Introductionmentioning

confidence: 99%

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

Low

Gan

Zainal³

et al. 2018

Pathogens and Global Health

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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 < 0.01) has a sensitivity of 100.00% and specificity of 79.25% for predicting severe dengue. The diagnostic model with AUC of 0.71 (p < 0.01) has a sensitivity of 76.19% and specificity of 73.58% for diagnosing severe dengue. The AUC for PTX-3 was not statistically significant. VEGF may be used in combination with other clinical parameters to predict the severity of the disease. As a single biomarker, it may be used as an adjunct investigation to support the diagnosis of severe dengue. PTX-3 was not able to differentiate severe dengue from non-severe dengue.

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“…The calculated sample size was based on the previous study conducted [7,17]. With a power of 80%, the total sample size was 90 patients.…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%