Nagasaki University Vietnam Research Station, Nha Trang
Nha Trang, Vietnam
Location contact
Lay Myint Yoshida, PhD
PRINCIPAL_INVESTIGATOR
Matthew JW Kain
CONTACT
NCT Number: NCT07799168
The goal of this observational study is to investigate the natural history of dengue in hospitalised patients in Vietnam, to better understand the disease process, and utilise the data to improve future clinical trials. The main questions it aims to answer are:
In participants hospitalised with dengue in Vietnam:
1. How does dengue illness change over time, particularly the development and recovery of vascular leak (where blood vessels leak)? 2. Can a new statistical approaches describe dengue illness accurately and be suitable for use in future clinical trials? 3. Which blood biomarkers are associated with worsening or improving dengue illness, and what do they tell us about how severe dengue develops? Could these blood biomarkers act as reliable indicators of disease severity and recovery, making them useful outcome measures in future dengue treatment trials? 4. How accurately do simplified diagnostic tests identify dengue compared with laboratory reference methods, and are they suitable for use in research and clinical settings in low- and middle-income countries?
Participants will be observed without any intervention throughout their hospitalisation. Participants will be be asked to provide informed consent for:
* Recording of their routine clinical data * Regular blood tests * Regular ultrasound scans * A follow up appointment.
Trial opening soon.
Get Notified16 year and older
All sexes
Observational
Nha Trang, Vietnam
Lay Myint Yoshida, PhD
PRINCIPAL_INVESTIGATOR
Matthew JW Kain
CONTACT
Dengue is a life-threatening infection caused by a virus, spread between humans by the bite of mosquitoes. It is present throughout the tropics, including in Vietnam, where cases have dramatically increased in recent years. Dengue causes severe illness predominantly through vascular leak, where patients' blood vessels break down, becoming leaky, leading to fluid from the vessels moving into tissues and organs such as the lungs.
However, it is still not fully understand how the virus causes vascular leak, or in which patients it is most likely to occur in. There are no licensed treatments for vascular leak. This is because the mechanism of vascular leak is incompletely understood, making therapeutic targeting difficult. Additionally, when drugs are trialled, many trials have been poorly designed and not included enough patients.
To answer our research questions, the investigators will recruit 142 patients admitted to hospital with dengue in Nha Trang, Vietnam who have dengue vascular leak. If they are happy to enter the study, data will be recorded that is already being collected as part of their hospital admission; this will include clinical data (such as blood pressure, pulse and treatments given) and the results of their blood tests. Investigators will also run tests beyond what they would normally have in hospital; this will include the results of regular ultrasound scans and biomarker blood tests (small molecules that can be detected in their blood in response to stress and vascular leak). Most patients have blood tests daily in hospital, and clinicians will aim to take the extra tubes of blood required at the same time, to minimise the number of extra procedures requested from participants.
Investigators will put this data it into a statistical model of dengue vascular leak they have been developing, called a multi-state model. These models have previously been used in other areas of medicine, but this would be their first application in dengue and infectious diseases research. Multi-state models aim to track how patients move through different stages of illness over time. Models such as this make better use of all the information collected during a patient's illness. Rather than only looking at a single outcome, such as whether a patient had recovered by a certain day, or how long recovery took, they track how patients move through different stages of dengue over time and how long they spend in each stage. This may give a more complete picture of how treatments affect the course of illness. If successful, it could improve how future dengue clinical trials are designed, helping researchers detect whether new treatments work more quickly and with fewer volunteers.
Investigators will also use data and samples collected from this study to explore why vascular leak occurs and evaluate new ways of diagnosing dengue, particularly in low-resource settings. To achieve this, investigators will need to compare patients who have dengue to people who have not got dengue, looking for differences. As such 93 people who do not have dengue (called "control" participants) will be recruited. Some will have a fever from another cause, and others will be healthy volunteers. Comparing these control populations with patients who have dengue helps us understand which findings are specific to dengue and how accurate new dengue tests are. People in these groups will only have a single small blood sample taken and will not receive any treatment or need follow-up visits.
Overall, this study aims to support the development of better treatments and more efficient clinical trials for dengue.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
(hospitalised cohort):
Inclusion criteria
(diagnostic control cohort):
Inclusion criteria
(platelet control cohort):
Exclusion criteria
Exclusion criteria
(platelet substudy only):
Time frame: From enrollment until day 10 of illness, or discharge
Presence and severity of vascular leak (none, moderate, severe) per Tomashek et al. 2018 consensus definitions - composite of change of haematocrit from baseline, presence of ascites/pleural effusion by point of care ultrasound and presence of respiratory/cardiovascular compromise.
Time frame: Assessed at 3 days and 5 days post admission
Confidence in model parameters: 95% confidence interval width around 3- and 5-day probabilities of all state transition pairs (probability with 95% confidence interval)
Time frame: From enrollment until day 10 of illness or discharge
Goodness of fit of model compared to observed data, as assessed by Akaike information criteria (AIC) values, Bayesian information criteria (BIC) values and Likelihood-ratio test (p-value)
Time frame: From enrollment until day 10 of illness, or discharge
Dengue viral load by reverse-transcriptase polymerase chain reaction (copies per microlitre)
Time frame: From enrollment until day 10 of illness or discharge
Presence and severirty of thrombocytopenia (none, moderate, severe) per Tomashek et al. 2018 consensus definitions - measured by platelet count (10^9/L)
Time frame: From enrollment until day 10 of illness or discharge
Presence and severirty of bleeding (none, moderate, severe) per Tomashek et al. 2018 consensus definitions - composite score measured by presence/absence of clinical bleeding, requirement for local intervention, cardiovascular compromise, requirement for blood transfusion.
Time frame: From enrollment until day 10 of illness or discharge
mSOFA score composite score (0-24) with 6 systems assessed, each component contributing 0-4 points to the overal score. Systems assessed: respiratory system (peripheral saturations of oxygen/fraction inspired oxygen, mmHg), Coagulation (platelet count / microlitre), Liver function (Bilirubin, mg/dl), Cardiovascular system (mean arterial pressure / pulse pressure, mmHg), Central nervous system (glasgow coma score), renal function (creatinin, mg/dL or urine output, mL/day)
Time frame: From enrollment until day 10 of illness or discharge
Fluid type and volume (mL)
Time frame: From enrollment until day 10 of illness or discharge
Dengue clinical severity classification per WHO 2009 criteria (dengue without warning signs, dengue with warning signs, severe dengue)
Time frame: From enrollment until day 10 of illness, or discharge
Longitudinal measurement of biomarkers such as Syndecan-1, Angiopoietin 1/2, VCAM-1, CRP, Ferritin, platelet function assay, platelet-leucocyte aggregate assay, platelet receptor panel
Time frame: From enrollment until day 10 of illness or discharge
Correlation of biomarker values with clinical and model outcomes
Time frame: At enrollment
Diagnostic accuracy of novel LAMP assay compared to reference standard and RDT: sensitivity, specificity and predictive values of diagnostic platforms against RT-PCR as reference and RDTs as standard of care.
Contact information is provided by the study sponsor or research team.
Liverpool School of Tropical Medicine
Other
Dengue Evaluation of Multi-State Models (DENEM Study): A Prospective Observational Study of Patients Hospitalised With Dengue Vascular Leak in Nha Trang, Vietnam, to Develop Novel Statistical Methodology
Acronym: DENEM
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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