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NCT Number: NCT06793787

Risk Evaluation by COronary Imaging and Artificial intelliGence Based fuNctIonal analyZing tEchniques - IV

This study is a single-center, prospective cohort study. The study is designed to identify novel circulating biomarkers for early prediction of high-risk coronary plaques. Patients diagnosed with chronic coronary syndrome (CCS) or non-ST-segment elevation acute coronary syndrome (NSTE-ACS), with marginal lesions or obstructive lesions in major coronary arteries detected by noninvasive coronary CT angiography (CCTA) or invasive coronary angiography (ICA), will be consecutively enrolled. Optical coherence tomography (OCT), with or without other intracoronary imaging modalities such as intravascular ultrasound (IVUS) and near infrared spectroscopy (NIRS), will be performed. Liquid chromatography-mass spectrometry (LC-MS/MS), bioinformatic analysis, and machine learning methods will be performed to characterize plasma proteomic profiles. The cohort will be followed-up every 3 months for 2 years. The association of novel biomarkers with the occurrence of major adverse cardiovascular events (MACEs) will be examined.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Ruijin Hospital, Shanghai Jiaotong University School of Medicine

Shanghai, Shanghai Municipality, 200025, China

Location status: Recruiting

Location contact

Jian Li, BS

CONTACT

[email protected]

0086 021 64370045

Ruiyan Zhang, M.D., Ph.D.

PRINCIPAL_INVESTIGATOR

Shuo Feng, M.D.,Ph,D,

SUB_INVESTIGATOR

Xiaoqun Wang, M.D., Ph.D.

SUB_INVESTIGATOR

About this study

This study is a single-center, prospective cohort study. The study is designed to identify novel circulating biomarkers for early prediction of high-risk plaques. Patients diagnosed with chronic coronary syndrome (CCS) or non-ST-segment elevation acute coronary syndrome (NSTE-ACS), with marginal lesions (diameter stenosis [DS] between 40%-69%) or obstructive lesions (DS ≥70% or CT-FFR/FFR <0.8) in major coronary arteries detected by noninvasive coronary CT angiography (CCTA) or invasive coronary angiography (ICA), will be consecutively enrolled. Optical coherence tomography (OCT), with or without other intracoronary imaging modalities including intravascular ultrasound (IVUS) and near infrared spectroscopy (NIRS), will be performed to precisely measure plaque burden and other geometric parameters.

Under the guidance of OCT, these plaques will be classified into different types (intimal xanthoma, early and late fibroatheroma, thin-cap fibroatheroma [TCFA], plaque rupture [PR], plaque erosion [PE], calcified nodules, healed lesions). If IVUS is additionally performed, total atheroma volume (TAV), percent atheroma volume (PAV), and remodeling index will be calculated. If NIRS is additionally performed, lipid core burden index (LCBI) will be calculated. Integrated analysis will also be performed to investigate the relationship between plaque characteristics obtained from different imaging modalities.

Afterwards, liquid chromatography-mass spectrometry (LC-MS/MS), bioinformatic analysis, and machine learning methods will be performed to characterize plasma proteomic profiles in patients with different types of coronary atherosclerotic plaques. Differentially expressed proteins will be analyzed to identify novel biomarkers for high-risk plaques.

The cohort will be followed-up every 3 months for 2 years. The association of novel biomarkers with the occurrence of major adverse cardiovascular events (MACEs) will be examined.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Age ≥ 18 years
  • Patients with CCS or NSTE-ACS
  • Receive CCTA scan or ICA, with marginal lesions (DS between 40%-69%) or obstructive lesions (DS ≥70% or CT-FFR/FFR <0.8) in major coronary arteries
  • Receive invasive coronary angiography and OCT, with or without other intracoronary imaging techniques such as IVUS and NIRS

Exclusion criteria

  • Receive percutaneous coronary intervention (PCI) within 6 months
  • Prior history of myocardial infarction or heart failure
  • Prior history of coronary artery bypass graft (CABG)
  • Abnormal liver function (serum alanine aminotransferase [ALT] level exceeding 3 times the upper limit of normal) or abnormal kidney function (eGFR ≤30%)
  • Familial hypercholesterolemia
  • Estimated survival ≤ 1 year
  • Malignant tumor
  • Pregnant or lactation, or have the intention to give birth within one year
  • Poor compliance, unable to follow-up

Treatment and study plan

Primary outcomes

  1. Prediction performance of high-risk plaques by novel biomarkers

    Time frame: 2 years

    The prediction performance of high-risk plaques (area under receiver operating characteristics curve, etc.) by novel biomarkers will be compared with traditional risk factors.

Secondary outcomes

  1. Major cardiovascular events (MACEs)

    Time frame: 2 years

    A composite endpoint of cardiovascular death, non-fatal myocardial infarction, and unplanned revascularization during follow-up. The prediction performance of MACEs by novel biomarkers and traditional risk factors will be compared.

  2. Cardiovascular death

    Time frame: 2 years

    The occurrence of cardiovascular death during follow-up. The prediction performance of cardiovascular death by novel biomarkers and traditional risk factors will be compared.

  3. Myocardial infarction

    Time frame: 2 years

    The occurrence of myocardial infarction during follow-up. The prediction performance of myocardial infarction by novel biomarkers and traditional risk factors will be compared.

  4. Unplanned revascularization

    Time frame: 2 years

    The occurrence of unplanned revascularization during follow-up. The prediction performance of novel biomarkers and traditional risk factors will be compared.

Study contacts

Contact information is provided by the study sponsor or research team.

Shuo Feng, M.D.,Ph.D.

CONTACT

[email protected]

+86 21 64370045 ext. 671605

Xiao Qun Wang, M.D.,Ph.D.

CONTACT

[email protected]

+86 21 64370045 ext. 671605

Sponsors and collaborators

Lead sponsor

Ruijin Hospital

Other

Registry information

Official study title

Risk Evaluation by Coronary Imaging and Artificial Intelligence-Based Functional Analyzing Techniques: Plasma Proteomic Profiles of Atheroma Classified by Intracoronary Imaging.

Acronym: RECOGNIZE-IV

Important dates

Study start
2024
Primary completion
2025
Study completion
2027
First posted
Jan 27, 2025
Registry last updated
Jan 27, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

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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