NCT07126132

Brief Summary

This was a single-center, cross-sectional study designed to investigate a novel composite biomarker, the Hemopexin-Apolipoprotein B (Hpx•apoB) product, for its association with coronary artery disease (CAD). The study aimed to determine if the Hpx•apoB product could serve as an independent predictor for the presence and severity of CAD and to evaluate its incremental value in improving risk stratification when added to existing clinical risk models.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
460

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jan 2019

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
completed

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

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

January 1, 2019

Completed
5 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2023

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2023

Completed
1.6 years until next milestone

First Submitted

Initial submission to the registry

August 10, 2025

Completed
7 days until next milestone

First Posted

Study publicly available on registry

August 17, 2025

Completed
Last Updated

August 17, 2025

Status Verified

August 1, 2025

Enrollment Period

5 years

First QC Date

August 10, 2025

Last Update Submit

August 14, 2025

Conditions

Outcome Measures

Primary Outcomes (2)

  • Odds Ratio for the Presence of Coronary Artery Disease per Unit Increase in Hpx•apoB Product

    This outcome assesses the strength of association between the biomarker and CAD. The plasma concentration of the Hpx•apoB product (Unit: mg²/L²) was used as a continuous variable in a multivariable logistic regression model to predict the presence of CAD. The result is expressed as an Odds Ratio (OR), a unitless measure, with a 95% confidence interval.

    Baseline

  • Change in Area Under the Receiver Operating Characteristic Curve (AUC)

    This outcome measures the incremental predictive value of the Hpx•apoB product. The AUC of a baseline risk model (containing hs-CRP and LDL-C) was compared to the AUC of the same model with the Hpx•apoB product added. The change in AUC (ΔAUC) quantifies the improvement in model discrimination. AUC is a unitless value ranging from 0.5 to 1.0.

    Baseline

Secondary Outcomes (6)

  • Comparison of Hpx•apoB Product Concentration by Number of Diseased Vessels

    Baseline

  • Correlation Between Hpx•apoB Product and Gensini Score

    Baseline

  • Correlation Between Hpx•apoB Product and High-Sensitivity C-Reactive Protein (hs-CRP)

    Baseline

  • Correlation Between Hpx•apoB Product and Low-Density Lipoprotein Cholesterol (LDL-C)

    Baseline

  • Correlation Between Hpx•apoB Product and Triglycerides (TG)

    Baseline

  • +1 more secondary outcomes

Study Arms (2)

Coronary Artery Disease (CAD) Group (n=350)

Patients with angiographically confirmed stenosis of ≥50% in at least one major epicardial artery.

Procedure: Coronary AngiographyDiagnostic Test: Hpx•apoB Product Measurement

Control Group (n=110)

Subjects who underwent coronary angiography for symptoms such as chest pain but were found to have no significant coronary stenosis (\<50%).

Procedure: Coronary AngiographyDiagnostic Test: Hpx•apoB Product Measurement

Interventions

Standard coronary angiography was performed via the radial or femoral approach on all participants to assess the presence and severity of coronary artery disease. Angiograms were used to determine coronary stenosis, which formed the basis for classifying participants into the CAD group (≥50% stenosis) or the control group (\<50% stenosis).

Control Group (n=110)Coronary Artery Disease (CAD) Group (n=350)

Fasting blood samples were collected from all participants to measure the novel Hpx•apoB product. Plasma hemopexin (Hpx) was quantified using liquid chromatography-tandem mass spectrometry (LC-MS/MS) and apolipoprotein B (apoB) was measured using standard automated methods. This biomarker was the primary variable of interest for its association with CAD.

Control Group (n=110)Coronary Artery Disease (CAD) Group (n=350)

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

The study population consisted of consecutive patients aged 18 years or older who were referred for coronary angiography at the Department of Cardiovascular Medicine, Renmin Hospital, Hubei University of Medicine, due to suspected or known coronary artery disease (CAD). From this population, 460 participants were enrolled after applying inclusion and exclusion criteria. Participants were then allocated into a CAD group (n=350) or a control group (n=110) based on angiographic findings.

You may qualify if:

  • Aged ≥18 years.
  • Referred for coronary angiography due to suspected or known CAD.
  • Provided written informed consent.

You may not qualify if:

  • Acute infectious or systemic inflammatory diseases.
  • Severe hepatic or renal dysfunction (eGFR \< 30 mL/min/1.73m²).
  • Malignancy.
  • Autoimmune disease.
  • A history of major surgery within the past three months.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Renmin Hospital, Hubei University of Medicine

Shiyan, Hubei, 442000, China

Location

Biospecimen

Retention: SAMPLES WITHOUT DNA

Fasting blood samples were collected into EDTA-containing tubes. Plasma was separated and used to measure hemopexin (Hpx), apolipoprotein B (apoB), lipid profile, hs-CRP, and other standard laboratory parameters.

MeSH Terms

Conditions

Coronary Artery Disease

Condition Hierarchy (Ancestors)

Coronary DiseaseMyocardial IschemiaHeart DiseasesCardiovascular DiseasesArteriosclerosisArterial Occlusive DiseasesVascular Diseases

Study Design

Study Type
observational
Observational Model
CASE CROSSOVER
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER GOV
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal investigator

Study Record Dates

First Submitted

August 10, 2025

First Posted

August 17, 2025

Study Start

January 1, 2019

Primary Completion

December 31, 2023

Study Completion

December 31, 2023

Last Updated

August 17, 2025

Record last verified: 2025-08

Locations