NCT06544681

Brief Summary

This is a retrospective, multicenter, observational study aimed at assessing stent apposition for coronary stent implantation by an optical coherence tomography system constructed by deep learning algorithms and evaluating the prognosis of patients after stent implantation in conjunction with multimodal diagnostic and therapeutic information.

Trial Health

65
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
2,000

participants targeted

Target at P75+ for all trials

Timeline
8mo left

Started Aug 2024

Typical duration for all trials

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Progress73%
Aug 2024Dec 2026

First Submitted

Initial submission to the registry

August 5, 2024

Completed
4 days until next milestone

First Posted

Study publicly available on registry

August 9, 2024

Completed
11 days until next milestone

Study Start

First participant enrolled

August 20, 2024

Completed
2.4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2026

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2026

Last Updated

August 9, 2024

Status Verified

August 1, 2024

Enrollment Period

2.4 years

First QC Date

August 5, 2024

Last Update Submit

August 5, 2024

Conditions

Outcome Measures

Primary Outcomes (1)

  • MACE

    Patients were followed up within 1 year after OCT and PCI. The follow-up included major adverse cardiac events: All causes were death, recurrent myocardial infarction, target vessel reconstruction, and stent thrombosis.

    Post-procedure within 1 year

Study Arms (2)

Coronary Stent Malapposition

Measurement results of deep learning-based OCT system: Coronary Stent Malapposition

Procedure: Coronary stenting with planned drug eluting stent (DES).

Coronary Stent Well Apposed

Measurement results of a deep learning-based OCT system: Coronary Stent Well Apposed

Procedure: Coronary stenting with planned drug eluting stent (DES).

Interventions

Stenting will be performed with OCT guidance according to the algorithm described in the protocol. A deep learning-based OCT system was used to measure the adherence of coronary stents.

Coronary Stent MalappositionCoronary Stent Well Apposed

Eligibility Criteria

Age20 Years - 80 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Retrospective data were collected from the First Affiliated Hospital of Xinjiang Medical University and Jining, Shandong Province from 2015 to 2022 Coronary artery disease patients undergoing coronary angiography and OCT examination in the First People's Hospital of China and Xigu District People's Hospital of Gansu Province.

You may qualify if:

  • Age ≥20 years old;
  • Angiography was performed, and OCT imaging of criminal blood vessels was performed before intervention;
  • Type of coronary heart disease: Unstable angina pectoris (UA), ST elevation myocardial infarction (STEMI) And non-ST elevation myocardial infarction (NSTEMI);

You may not qualify if:

  • Lack of medical records;
  • Failure to complete follow-up;
  • Previous coronary artery bypass grafting;
  • Severe liver or kidney insufficiency;
  • Infectious diseases, malignancies and bleeding diseases;
  • OCT image quality was caused by large thrombus volume or residual blood in lumen and percutaneous coronary angiography Poor and further excluded.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

MeSH Terms

Conditions

Coronary DiseaseCoronary Artery Disease

Condition Hierarchy (Ancestors)

Myocardial IschemiaHeart DiseasesCardiovascular DiseasesVascular DiseasesArteriosclerosisArterial Occlusive Diseases

Study Officials

  • Pengfei Liu, M.D

    First Affiliated Hospital of Xinjiang Medical University

    PRINCIPAL INVESTIGATOR
  • Xinliang Peng, M.D

    First Affiliated Hospital of Xinjiang Medical University

    PRINCIPAL INVESTIGATOR
  • Abudusalamu Tuerdimaimaiti, M.D

    First Affiliated Hospital of Xinjiang Medical University

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Pengfei Liu, M.D

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR INVESTIGATOR
PI Title
professor

Study Record Dates

First Submitted

August 5, 2024

First Posted

August 9, 2024

Study Start

August 20, 2024

Primary Completion (Estimated)

December 31, 2026

Study Completion (Estimated)

December 31, 2026

Last Updated

August 9, 2024

Record last verified: 2024-08