Innovative Multidisciplinary Strategies for Combating Severe Dengue
COMBAT
Advancing Pandemic Preparedness: Innovative Multidisciplinary Strategies for COMBATing Severe Dengue
2 other identifiers
observational
1,400
2 countries
2
Brief Summary
The goal of this observational study is to identify biomarkers and host factors associated with dengue severity in patients from dengue-endemic regions. The main question it aims to answer is: Can multi-omics approaches predict disease severity and identify key factors contributing to severe dengue infections? Participants will include individuals with dengue infection, and the study will analyze their blood samples using multi-omics techniques to uncover host immune responses, disease pathogenesis, and cellular pathway interactions. The study will also assess the role of primary and secondary infections, virus serotypes, and immunological factors in disease progression. Findings aim to support disease management, improve severity prediction, and identify potential therapeutic targets to prevent severe outcomes.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2025
Longer than P75 for all trials
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
December 13, 2024
CompletedFirst Posted
Study publicly available on registry
December 30, 2024
CompletedStudy Start
First participant enrolled
January 3, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
October 31, 2029
February 10, 2025
December 1, 2024
2 years
December 13, 2024
February 6, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
DISCOVER predictive biomarkers and AI tool for Dengue Severity
This project aims to identify prognostic plasma protein biomarkers for disease severity in dengue virus (DENV) using data from a clinical cohort in an endemic region experiencing a surge in DENV morbidity and mortality. It involves developing a novel consensus association-based gene/protein cooperation network to uncover key host factors driving severe disease. Additionally, the project seeks to create AI-driven prognostic tools for predicting DENV severity by integrating patient demographic and clinical data with gene and protein biomarkers, DENV serotyping, and climate information.
From enrollment to the end of hospitalisation at 2 weeks
Study Arms (4)
Dengue without warning signs (DwoWS)
Laboratory confirmed Dengue without plasma leakage
Dengue with warning signs (DWS)
Laboratory confirmed Dengue without plasma leakage plus abdominal pain, persistent vomiting, fluid accumulation, mucosal bleeding, lethargy, liver enlargement, increasing haematocrit with decreasing platelets
Severe Dengue (SD)
Dengue with severe plasma leakage, severe bleeding, or organ failure
Healthy Control
Healthy participants who have tested negative for dengue infection
Interventions
No intervention apart from the dengue infection
Eligibility Criteria
* Patients who are pregnant, immunocompromised, or undergoing chemotherapy, on steroids or immunosuppressive drugs in the last year, liver cirrhosis, or coinfection with a non-dengue pathogen. * Cases with a lab-confirmed dengue infection within the past three months will excluded from the case cohort.
You may qualify if:
- Group 1: Dengue without warning signs Patients presenting with the following symptoms confirmed positive for dengue infection by lab diagnosis by anti-dengue IgM or NS1 ELISA will be recruited for the study under this cohort.
- Symptoms will be fever along with at least two of the following -
- Myalgia, arthralgia
- Nausea and/or vomiting
- Rashes
- Leukopenia Group 2: DENV with warning signs This cohort will include patients with the above symptoms and any of the following clinical signs.
- Abdominal pain with tenderness
- Persistent vomiting
- Fluid accumulation
- Mucosal bleeding
- Restlessness, lethargy
- Liver enlargement \>2cm
- Laboratory findings: An increase in hematocrit levels and a rapid decrease in platelet count Group 3: Severe dengue
- Severe plasma leakage leads to hypovolemic shock (dengue shock syndrome) and fluid accumulation with respiratory distress.
- Severe bleeding, such as epistaxis, internal bleeding, etc., is evaluated by a clinician.
- +4 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Karolinska Institutetlead
- BIO BOX GUATEMALA ONG DE INVESTIGACIÓN, SERVICIOS Y DE MEDIO AMBIENTEcollaborator
- DEVKI DEVI FOUNDATION SOCIETY, Indiacollaborator
- MANIPAL ACADEMY OF HIGHER EDUCATION, Indiacollaborator
- Artemis Medicare Services Ltd., Indiacollaborator
Study Sites (2)
Bio Box Guatemala Ong de Investigación, Servicios Y de Medio Ambiente
Guatemala City, Guatemala
Manipal Academy of Higher Education (MAHE)
Mangalore, Karnataka, 576104, India
Related Publications (1)
Bhatt P, Varma M, Sood V, Ambikan A, Jayaram A, Babu N, Gupta S, Mukhopadhyay C, Neogi U. Temporal cytokine storm dynamics in dengue infection predicts severity. Virus Res. 2024 Mar;341:199306. doi: 10.1016/j.virusres.2023.199306. Epub 2024 Jan 6.
PMID: 38176525BACKGROUND
Biospecimen
Whole blood, plasma.
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Senior Lecturer
Study Record Dates
First Submitted
December 13, 2024
First Posted
December 30, 2024
Study Start
January 3, 2025
Primary Completion (Estimated)
December 31, 2026
Study Completion (Estimated)
October 31, 2029
Last Updated
February 10, 2025
Record last verified: 2024-12