Early Platelet Indices as Biomarkers of Deep Vein Thrombosis and Prognostic Markers in Mechanically Ventilated ICU Patients
NCT ID: NCT07197333
Last Updated: 2025-09-29
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
100 participants
OBSERVATIONAL
2026-09-01
2027-12-30
Brief Summary
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Detailed Description
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The study will explore whether elevated MPV and PDW values at ICU admission and during follow-up are associated with higher incidence of DVT and increased ICU mortality. Patients will undergo baseline investigations, followed by repeated platelet measurements every 48 hours until ICU discharge or death. Doppler ultrasound assessments will be done on Day 5-7 or earlier if symptoms suggest thrombosis.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Adult critically ill patients aged ≥18 years admitted to the ICU of Assiut University Hospital who r
The population will consist of mechanically ventilated ICU patients, a group at particularly high risk of thrombotic events due to immobility, systemic inflammation, and sedation, which limit symptom reporting. Eligible participants must be adults (\>18 years) who remain intubated for ≥48 hours.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
Admitted to ICU at Assiut University Hospital
Mechanically ventilated for ≥48 hours
Exclusion Criteria
Recent platelet transfusion within 7 days
Known pre-existing deep vein thrombosis
Previous anticoagulation treatment prior to ICU admission
Pregnancy
18 Years
ALL
No
Sponsors
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Assiut University
OTHER
Responsible Party
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Roiea Abd El Reheem Aref
resident at the Critical Care Medicine department
References
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Zhou Y, Xu Z, Li Z, et al. Mean platelet volume and platelet distribution width as prognostic markers in critically ill patients with sepsis. J Crit Care. 2019;50:213-219. doi:10.1016/j.jcrc.2018.12.003
Other Identifiers
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Predictors of DVT
Identifier Type: -
Identifier Source: org_study_id
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