View clinical trials related to Dengue.
Filter by:This study aims to evaluate the effect of anakinra in dengue patients with hyperinflammation as compared to placebo Primary Objective: To evaluate the efficacy of Anakinra in moderate-severe dengue patients with hyperinflammation. Secondary Objectives: - To assess the safety of anakinra therapy in dengue with hyperinflammation - To assess the effect of anakinra therapy in patients with dengue on physiological, clinical and virological parameters - To assess the immunomodulation effects of anakinra in dengue - Immune cell signatures in dengue with and without anakinra - To assess difference in gene expression between treatment group compared to non-treatment population
In recent years, dengue has become endemic on La Réunion island, which has led to subsequent increase of secondary dengue infections, higher severity and higher mortality of the cases referred to the hospital. This project will investigate the factors associated with the hospitalization for dengue and the factors associated with dengue severity in a hospital-based cohort study conducted over two dengue seasons, as well as the long-term outcomes over aN18-month follow-up.
RT-PCR and virus isolation are considered gold standard for diagnosis of Dengue from blood during first few days of infection. Serological methods such as enzyme-linked immunosorbent assays (ELISA), confirms the presence of a recent or past infection with detection of NS1 antigen and anti-dengue antibodies. However, these methods are time-consuming and need significant laboratory infrastructure, including instrumentation, trained personnel and refrigeration for reagents. Hence, in areas where DENV is endemic, have limited resources and inadequate laboratory capacity to perform these tests, rapid diagnostic tests (RDTs) can be used for quick and simple screening. Recently various RDTs which detect Antigen (NS1) and Antibodies (IgM and IgG) in single format are widely available and in use, but the performance data are not available or not consistent from one study to another. Therefore, this study aims to evaluate the sensitivity and specificity of different RDTs that detect antigens and antibodies to Dengue viruses in one cassette during acute febrile stage thereby helping healthcare providers to decide on the best test.
The primary objective of this study is to compare the dengue virus-neutralizing antibody geometric mean titers (GMTs) for each of the 4 dengue serotypes (DENV1, DENV2, DENV3, and DENV4) at Day 28 post-vaccination for participants administered the V181 Low-Potency Level vaccine versus the V181 Mid-Potency Level vaccine. This study will also evaluate the safety and tolerability of 3 different V181 potency level vaccines. The primary hypothesis of the study is that the V181 Low-Potency Level vaccine is non-inferior to the V181 Mid-Potency Level vaccine for each of the 4 dengue serotypes based on GMTs at Day 28 post-vaccination.
The study is a cluster-randomised controlled trial set in Singapore, to assess if the deployment of male Wolbachia-infected Aedes aegypti mosquitoes can reduce dengue incidence in intervention clusters.
Dengue viral infection and dengue hemorrhagic fever (DHF) are important emerging health problems worldwide. Several candidate dengue vaccines are currently in different stages of development but CYD is the only licensed vaccine currently available. Although this vaccine can induce neutralizing antibodies against all four DENV serotypes, the vaccine showed enhanced hospitalization in recipients who were dengue-naïve before vaccination. The long-term safety assessment of the vaccine in endemic regions demonstrated that the risk of hospitalization in year 3 of vaccination was higher in the vaccine group especially among recipients under 9 years of age with a relative risk of 1.58 [95% CI, 0.83 to 3.02]. Surrogate animal models are not good models to see whether the vaccine or therapeutic is able to be tested in clinical trials since animals do not develop symptoms of infection as in humans. The ADE phenomenon and the lack of known correlates of protection in animal models are still the major problems and challenges in the development of an effective dengue vaccine and make it difficult to identify candidate vaccines. The efficacy and safety situation of CYD also highlights the requirement of verification of candidate vaccines before performing clinical trials with a large number of participants. The controlled human infection model, therefore, has been proposed to pre-evaluate candidate vaccines before moving into larger clinical trials. It has been previously used for several infectious diseases i.e., malaria, norovirus, influenza, cholera, Campylobacter, and Shigella, to accelerate vaccine or therapeutic development. For dengue, two controlled dengue human infection models (DHIM) have been established for vaccine testing and evaluation of therapeutics in a dengue naïve population in the USA. Although it has been proved useful for studies of dengue in naïve individuals, it is necessary to set up DHIM in endemic regions like Thailand as more than 90% of the population has been previously exposed to the virus and, importantly, host immune status prior to the introduction of viruses can influence clinical outcomes and vaccine efficacy. It will also be very challenging in terms of safety concerns since having pre-existing immune responses to natural DENV infection is a risk factor for severe dengue. The establishment of DHIM will not only allow a small-scale demonstration for safety and efficacy of vaccines or therapeutics which can appropriately guide the design of phase III to be more cost-effective but it will also allow the investigation of immune correlates of protection and determination of factors correlated with disease protection and pathogenesis as clinical endpoints can be closely followed up in all participants. Safety, Virological and Immunological Assessment of the Controlled Dengue Human Infection Model in Thailand (DHIT) is proposed to challenge the live attenuated dengue virus serotype 2, rDEN2Δ30-7169, in 5 flavivirus naïve participants recruited from Bangkok, Thailand, and aims to assess the safety, viremia, NS1 antigenemia profile, and immunogenicity of the challenge virus in the volunteers. In addition, this DHIT project will vaccinated all 5 participants with Dengvaxia® after inoculation with the challenge virus to reduce the risk of severe disease of dengue in the future. Blood collection will be obtained after each vaccination to assess virological and immunological profiles. Active and passive surveillance will be set up to monitor for dengue infection after vaccination. The overall study period from administration of live attenuated virus until last follow-up visit is 38 months.
The Phase 2 study will be conducted in adult patients with confirmed Dengue infection and will investigate safety, PK, and pharmacodynamics (PD) in this population. The study will be conducted in several dosing cohorts to enable dose selection for subsequent trials
Liver dysfunction marked by elevated alanine transaminase enzymes is quite common in dengue patients and subsequently affects the disease's severity and healing process. Unfortunately, liver function tests cannot always be done, especially in hospitals with limited facilities. In contrast, routine hematology tests are considered regular and inexpensive tests that can be performed on dengue patients. Therefore, this study aims to determine hematological parameters as markers of elevated liver enzymes in dengue patients.
This study will assess the safety and antiviral activity of AT-752 in healthy subjects in a Dengue Human Challenge Model
This study will assess the effect of an educational nursing intervention in adults to promote dengue control and prevention behaviors, in comparison with the usual strategy of a health service provider institution. The intervention uses the Nola Pender Health Promotion Model as a theoretical framework. Findings will be assessed using the nursing outcomes "risk control" and "participation in health care decisions" from the Nursing Outcomes Classification (NOC).