The Use of Biomarkers in Predicting Dengue Outcome
The burden of dengue infection has increased due to the current non-specific classification. A pilot study was conducted to evaluate the five of the biomarkers: neopterin, vascular endothelial growth factor (VEGF), thrombomodulin, Vascular Cell Adhesion Molecule 1 (VCAM-1) and pentraxin 3 (PTX-3). VEGF and PTX-3 was the only two potential biomarkers in differentiating severe dengue from non-severe dengue cases. The analysis between severe dengue and non-severe dengue cases indicated that only VEGF was able to discriminate the two categories. Though VCAM-1 and PTX-3 were not statistically significant, the p-values were at the margin of the pre-determined p-value of less than 0.05.
Hence, this study aims to evaluate VEGF and PTX-3 levels in differentiating severe dengue from non-severe dengue cases. The secondary objective is to evaluate the correlation of VEGF and PTX-3 levels with full blood count (platelet, white blood cell count and haematocrit) and liver function test (alanine aminotransferase and aspartate).
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
The burden of dengue infection has increased due to the current non-specific classification. A pilot study was conducted to evaluate the five of the biomarkers: neopterin, vascular endothelial growth factor (VEGF), thrombomodulin, Vascular Cell Adhesion Molecule 1 (VCAM-1) and pentraxin 3 (PTX-3). VEGF and PTX-3 was the only two potential biomarkers in differentiating severe dengue from non-severe dengue cases. The analysis between severe dengue and non-severe dengue cases indicated that only VEGF was able to discriminate the two categories. Though VCAM-1 and PTX-3 were not statistically significant, the p-values were at the margin of the pre-determined p-value of less than 0.05.
Hence, this study aims to evaluate VEGF and PTX-3 levels in differentiating severe dengue from non-severe dengue cases. The secondary objective is to evaluate the correlation of VEGF and PTX-3 levels with full blood count (platelet, white blood cell count and haematocrit) and liver function test (alanine aminotransferase and aspartate).
This is a prospective cohort study in which the patient will be followed up from the day of presentation to the attending practitioner until the patient is discharged. The blood samples will be obtained daily during the follow-up. The demography and clinical final diagnosis will be obtained from the medical record of the patient.
This study will aid triaging of dengue cases thereby reducing the need of unnecessary admission and better focused management to those might develop complication of dengue infection. This in turn reduces the workload and cost of the treating the dengue infection.
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Gary Low, MPH
- Phone Number: +60123150115
- Email: garylowkk@utar.edu.my
Study Locations
-
-
Selangor
-
Ampang, Selangor, Malaysia
- Recruiting
- Ampang Hospital
-
Contact:
- Ridzuan Isa
- Email: dmiaw2@gmail.com
-
Principal Investigator:
- Rosaida Mohammad Said
-
Principal Investigator:
- Ching Soong Khoo
-
Principal Investigator:
- Melor Mohd Mansor
-
Ampang, Selangor, Malaysia
- Recruiting
- Klinik Kesihatan Ampang (Ampang Health Clinic)
-
Contact:
- Hanif Zailani, MPH
- Email: hanif@moh.gov.my
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Participants who are age 15 or more.
- Participants must be recruited within the first three days of fever.
- Positive dengue by NS1Ag. Confirmed later on by paired dengue IgM/IgG.
- Final diagnosis of severe dengue or non-severe dengue.
Exclusion Criteria:
- Participants who are less than 15 years old.
- Pregnant mothers.
- Participants should not have autoimmune disorder, haematological disorder, cancer, cardiovascular disease, on long term warfarin and aspirin.
- Participants who have been previously treated with dengue infection (secondary dengue infection will be excluded by dengue IgM/IgG).
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Sensitivity (%) of biomarkers (PTX3 and VEGF)
Time Frame: upon study completion, 3 years
|
The measures will be analysed using Receiver Operating Characteristics (ROC) during the first 4 days of illness to predict the outcome of dengue infection (severe dengue versus non-severe dengue.
Both univariate and multivariate analysis will be performed to identify and control for confounding factors.
|
upon study completion, 3 years
|
|
Specificity (%) of biomarkers (PTX3 and VEGF)
Time Frame: upon study completion, 3 years
|
The measures will be analysed using Receiver Operating Characteristics (ROC) during the first 4 days of illness to predict the outcome of dengue infection (severe dengue versus non-severe dengue.
Both univariate and multivariate analysis will be performed to identify and control for confounding factors.
|
upon study completion, 3 years
|
|
Positive predictive value (%) of biomarkers (PTX3 and VEGF)
Time Frame: upon study completion, 3 years
|
The measures will be analysed using Receiver Operating Characteristics (ROC) during the first 4 days of illness to predict the outcome of dengue infection (severe dengue versus non-severe dengue.
Both univariate and multivariate analysis will be performed to identify and control for confounding factors.
|
upon study completion, 3 years
|
|
Negative predictive value (%) of biomarkers (PTX3 and VEGF)
Time Frame: upon study completion, 3 years
|
The measures will be analysed using Receiver Operating Characteristics (ROC) during the first 4 days of illness to predict the outcome of dengue infection (severe dengue versus non-severe dengue.
Both univariate and multivariate analysis will be performed to identify and control for confounding factors.
|
upon study completion, 3 years
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Correlation of routine blood parameters with PTX 3 and VEGF.
Time Frame: upon study completion, 3 years
|
Pearson's/Spearmann correlation routine blood parameters (ALT, AST, PLT count, HCT and WBC count) with the biomarkers to identify possible prognostic value.
|
upon study completion, 3 years
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Gary Low, Universiti Tunku Abdul Rahman
Study record dates
Study Major Dates
Study Start
Study Start
Primary Completion (ANTICIPATED)
Primary Completion
Study Completion (ANTICIPATED)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ESTIMATE)
First Posted
Study Record Updates
Last Update Posted (ESTIMATE)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- NMRR-15-1045-25937
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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