Patient Centered Machine Learning Model for Bleeding and Ischemic Risk
Public ClinicalTrials.gov record NCT06089304. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.
Data is sourced from official ClinicalTrials.gov public API records. Always review the official ClinicalTrials.gov record for the latest information.
Official title
Predicting Ischemic and Bleeding Risk In Patients On Dual Antiplatelet Therapy After Percutaneous Coronary Intervention: An Individualized Patient Centered Machine Learning Model
Brief summary
Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.
Dual antiplatelet therapy (DAPT) is indicated in all patients undergoing coronary stent implantation to prevent ischemic recurrencies despite an increased risk of bleeding. Accordingly, clinical practice guidelines advocate tailoring DAPT duration according to the patient's individual ischemic and bleeding risk profile. Data from 11 clinical trials involving patients who underwent percutaneous coronary intervention (PCI) with an everolimus-eluting stent will be pooled and analyzed to develop a machine learning-based algorithm to predict the probability of an ischemic or bleeding event up to 1 year. These predictive risk models aim to support clinical decision-making on DAPT management after PCI.
Study identification
- NCT ID
- NCT06089304
- Recruitment status
- Completed
- Study type
- Observational
- Phase
- Not listed
- Enrollment
- 19,000 participants
Conditions and interventions
Eligibility (public fields only)
- Age range
- 18 Years to 99 Years
- Sex
- All
- Healthy volunteers
- Not listed
This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.
Study timeline
- Start date
- Apr 30, 2008
- Primary completion
- Jan 31, 2021
- Completion
- Sep 30, 2023
- Last update posted
- Oct 17, 2023
2008 – 2023
United States locations
- U.S. sites
- 1
- U.S. states
- 1
- U.S. cities
- 1
| Facility | City | State | ZIP | Site status |
|---|---|---|---|---|
| Icahn School of Medicine at Mount Sinai | New York | New York | 10029 | — |
Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.
About this trial record page
- What this page shows
- Public field values for ClinicalTrials.gov record NCT06089304, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
- What this page does not do
- No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
- Where the data comes from
- Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
- Last refresh
- Last update posted Oct 17, 2023 · Synced Sep 6, 2026
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Open the official record
The complete protocol, eligibility criteria, and contact information for NCT06089304 live on ClinicalTrials.gov.