Literature DB >> 30246621

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

Gary Kim Kuan Low1,2, Seng-Chiew Gan3, Norsafina Zainal4, Komala Devi Naidu5, Syafinaz Amin-Nordin6, Ching-Soong Khoo7, Mohd Isa Ridzuan8, Rosaida Mohd Said8, Melor Mohd Mansor8, Mohd Hanif Zailani9, Hui-Yee Chee6, Sheng Jye Lim3, Jeyanthi Suppiah10, Santhi Appu4, Izani Ismail4, Thaw Zin3, Kian Keong Te3, Nadia Mohd Hatta3.   

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 < 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.

Entities:  

Keywords:  Severe dengue; accuracy; diagnostic; predict; screening

Mesh:

Substances:

Year:  2018        PMID: 30246621      PMCID: PMC6381533          DOI: 10.1080/20477724.2018.1516417

Source DB:  PubMed          Journal:  Pathog Glob Health        ISSN: 2047-7724            Impact factor:   2.894


  3 in total

1.  The predictive and diagnostic accuracy of long pentraxin-3 in COVID-19 pneumonia

Authors:  Ahmed Bilal Genç; Selçuk Yaylacı; Hamad Dheir; Ahmed Cihad Genç; Kubilay İşsever; Deniz Çekiç; Havva Kocayiğit; Erdem Çokluk; Alper Karacan; Mehmet Ramazan Şekeroğlu; Hande Toptan Çakar; Ertuğrul Güçlü
Journal:  Turk J Med Sci       Date:  2021-04-30       Impact factor: 0.973

2.  Predictive markers for the early prognosis of dengue severity: A systematic review and meta-analysis.

Authors:  Tran Quang Thach; Heba Gamal Eisa; AlMotsim Ben Hmeda; Hazem Faraj; Tieu Minh Thuan; Manal Mahmoud Abdelrahman; Mario Gerges Awadallah; Nam Xuan Ha; Michael Noeske; Jeza Muhamad Abdul Aziz; Nguyen Hai Nam; Mohamed El Nile; Shyam Prakash Dumre; Nguyen Tien Huy; Kenji Hirayama
Journal:  PLoS Negl Trop Dis       Date:  2021-10-05

3.  Route of inoculation and mosquito vector exposure modulate dengue virus replication kinetics and immune responses in rhesus macaques.

Authors:  Michael K McCracken; Gregory D Gromowski; Lindsey S Garver; Brad A Goupil; Kathryne D Walker; Heather Friberg; Jeffrey R Currier; Wiriya Rutvisuttinunt; Kevin L Hinton; Rebecca C Christofferson; Christopher N Mores; Yannick Vanloubbeeck; Clarisse Lorin; Marie-Pierre Malice; Stephen J Thomas; Richard G Jarman; David W Vaughn; J Robert Putnak; Lucile Warter
Journal:  PLoS Negl Trop Dis       Date:  2020-04-08
  3 in total

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