Relationship Between High-Density Lipoprotein Subtypes and Coronary Heart Disease Prognosis.

NCT ID: NCT06190834

Last Updated: 2024-01-05

Study Results

Results pending

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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Recruitment Status

RECRUITING

Total Enrollment

5000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-12-01

Study Completion Date

2026-08-31

Brief Summary

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Cardiovascular disease (CVD) is the leading cause of human mortality worldwide, imposing substantial societal and economic burdens. Traditionally, high-density lipoprotein (HDL) has been branded as the "beneficial" lipoprotein. The Framingham study found that for every 1mg/dl increase in HDL, the risk of coronary heart disease (CHD) was reduced by 2% in men and 3% in women. Subsequent studies further affirmed the inverse correlation between HDL and the risk of CHD. However, these findings were first challenged by Mendelian randomization studies which failed to identify a causal relationship between HDL and CHD. Moreover, randomized controlled trials demonstrated that therapeutically increasing plasma HDL concentrations did not reduce the risk of CHD events, prompting doubts about HDL's status as "good cholesterol." The relationship between HDL and CHD might be more intricate than previously believed, possibly not just mediated by the quantity of HDL but also intimately linked with its function.

Several cross-sectional studies have confirmed the relationship between HDL subtypes and the severity of disease in CHD patients, yet findings are inconsistent. Conventional testing methods lack a universally accepted standard for defining or describing HDL subfractions, with issues like expensive equipment, poor repeatability, cumbersome operation, slow analysis, and low throughput. Microfluidic electrophoresis technology combines the merits of electrophoresis with microfluidic chip technology. This method facilitates efficient separation of substances in microchannels on a substrate, providing rapid and consistent results. Utilizing the latest microfluidic chip technology for HDL subfraction detection offers quick, accurate, and straightforward analysis with minimal sample volume and automation. It precisely reflects the serum concentrations of HDL subfractions HDL2b and HDL3, addressing the current pitfalls of clinical HDL subfraction analysis methods. This approach is poised to become the standard method for HDL subfraction testing.

In conclusion, existing studies on the association between HDL subtypes and CHD remain inconsistent, with most having a small sample size. Our study, leveraging microfluidic chip technology for HDL subfraction detection, aims to further investigate: the prognostic value of HDL subtypes for the long-term outcomes of CHD patients, building a risk prediction model for adverse cardiovascular events that includes HDL subtypes.

Detailed Description

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Conditions

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HDL Coronary Heart Disease

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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The patients with coronary heart disease diagnosed by coronary angiography

The patients with coronary heart disease diagnosed by coronary angiography in the department of cardiology of Beijing Tsinghua Changgeng Hospital. Except patients with severe valvular disease, severe myocarditis, severe hepatic and renal insufficiency, thyroid insufficiency, severe infectious or systemic inflammatory diseases, severe blood diseases, malignant tumors, etc.

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

1. The age of the patients is over 18 years old;
2. Coronary artery disease was confirmed by coronary angiography.

Exclusion Criteria

1. Severe valvular disease, severe myocarditis, severe hepatic and renal insufficiency, thyroid insufficiency, severe infectious or systemic inflammatory diseases, severe blood diseases, malignant tumors.
2. Lack of data on HDL subtypes.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Guangdong Guosheng Medical Technology

UNKNOWN

Sponsor Role collaborator

Beijing Tsinghua Chang Gung Hospital

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Yu Geng

Role: STUDY_DIRECTOR

Beijing Tsinghua Changgeng Hospital

Locations

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Beijing Tsinghua Changgung Hospital

Beijing, Beijing Municipality, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Yu Geng

Role: CONTACT

010-56119519

Facility Contacts

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Yu Geng

Role: primary

010-56119519

Other Identifiers

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2023-RHDLS-CHD

Identifier Type: -

Identifier Source: org_study_id

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