Ebola Virus Disease Treatment
- Funded by National Institutes of Health (NIH)
- Total publications:0 publications
Grant number: 5P20GM156688-02
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Key facts
Disease
EbolaStart & end year
20252030Known Financial Commitments (USD)
$330,248Funder
National Institutes of Health (NIH)Principal Investigator
Alicia GeniscaResearch Location
United States of AmericaLead Research Institution
RHODE ISLAND HOSPITALResearch Priority Alignment
N/A
Research Category
Therapeutics research, development and implementationResearch Subcategory
Prophylactic use of treatmentsSpecial Interest Tags
N/AStudy Type
ClinicalClinical Trial Details
Not applicableBroad Policy Alignment
PendingAge Group
UnspecifiedVulnerable Population
UnspecifiedOccupations of Interest
Unspecified
Abstract
PROJECT SUMMARY Ebola Virus Disease (EVD) has been responsible for over 40 human outbreaks since 1976. The remarkable case fatality ratio, reaching up to 90% in certain outbreaks, has prompted investigations into specific treatments. Despite advancements in EVD care, there is a significant lack of research on adjunctive therapeutics, particularly those targeting the gastrointestinal system. Research during outbreaks highlighted EVD's substantial impact on the gastrointestinal system, including symptoms such as nausea, vomiting, and diarrhea, and the worrisome clinical feature of gastrointestinal hemorrhage. Emerging evidence suggests that EVD may trigger gut bacterial translocation, contributing to secondary bacterial sepsis and high mortality. The impact of gastrointestinal diseases remains unexplored. thousands of individuals were treated during the 2018- 2020 outbreak, providing a valuable dataset for assessing the impact of gastrointestinal therapeutic interventions on EVD mortality. This research aims to address crucial gaps in understanding EVD pathophysiology and improve treatment. Specifically, the project will use the data collected during key outbreaks to evaluate the effects of omeprazole, metronidazole, and albendazole on various EVD outcomes, including mortality, using novel statistical methods including propensity score matching.