Padua Prediction Score for VTE Risk in Thoracic Surgery Patients
NCT ID: NCT06732726
Last Updated: 2025-03-18
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
150 participants
OBSERVATIONAL
2025-04-20
2025-07-15
Brief Summary
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The study aims to answer the following question:
Does the PPS provide a more accurate prediction of VTE risk?
Participants will:
Have their VTE risk assessed using the PPS during their hospital admission.
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Detailed Description
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To address this risk, tools like the Padua Prediction Score (PPS) have been developed. PPS is a validated scoring system that uses clinical and demographic criteria to categorize patients as high- or low-risk for VTE, allowing healthcare providers to tailor prophylactic measures accordingly. Although the Padua Prediction Score has been increasingly adopted in various healthcare settings, its applicability in Iraq remains understudied. There is limited local data on the prevalence of VTE, risk assessment practices and adherence to prophylaxis protocols, leaving a clear gap in the literature. This study aims to explore the utility and predictive accuracy of the Padua Prediction Score in the Iraqi healthcare context. By addressing this gap, the findings could help refine VTE prevention strategies, improve resource allocation, and ultimately reduce complications associated with this condition.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* Inpatients with a hospital stay over 3 days
* Written informed consent obtained from patients or their legal guardians.
* Availability for postoperative follow-up to assess outcomes like LEVT development or related complications.
Exclusion Criteria
* Severe Coagulopathy: Patients with inherited or acquired bleeding disorders (e.g., hemophilia, advanced liver disease).
* receiving any anticoagulation therapy for any reason.
* patients who did not undergo a postoperative D-dimer test.
* Incomplete Data: missing essential clinical or laboratory data.
* Pregnancy: pregnant women or those within six weeks postpartum.
* Noncompliance: Patients unwilling or unable to adhere to study follow-up protocols.
18 Years
ALL
No
Sponsors
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Al-Nahrain University
OTHER
Responsible Party
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Abdul-Ilah R. Khamis
Principal Investigator
Principal Investigators
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Yaser aamer Eisa Alhaibi, Assistant professor
Role: STUDY_DIRECTOR
College Of Medicine - Nahrain University
Locations
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College of Medicine - Al-Nahrain University
Baghdad, Kadhimiya, Iraq
Countries
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Central Contacts
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References
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Al Yami MS, Silva MA, Donovan JL, Kanaan AO. Venous thromboembolism prophylaxis in medically ill patients: a mixed treatment comparison meta-analysis. J Thromb Thrombolysis. 2018 Jan;45(1):36-47. doi: 10.1007/s11239-017-1562-5.
Barbar S, Noventa F, Rossetto V, Ferrari A, Brandolin B, Perlati M, De Bon E, Tormene D, Pagnan A, Prandoni P. A risk assessment model for the identification of hospitalized medical patients at risk for venous thromboembolism: the Padua Prediction Score. J Thromb Haemost. 2010 Nov;8(11):2450-7. doi: 10.1111/j.1538-7836.2010.04044.x.
Other Identifiers
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008
Identifier Type: OTHER
Identifier Source: secondary_id
UNCOMIRB20241210
Identifier Type: -
Identifier Source: org_study_id
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