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Not yet recruiting NCT07184034

Lipoprotein a Assessment and Relation to Ca Score in CAD Patients Using MSCT

Observational Coronary Artery Disease (CAD)

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
This is an observational study: the protocol does not assign a study treatment.
Who it may be relevant to
Registry conditions: Coronary Artery Disease (CAD). Basic parameters: 30 years — 80 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
Center list to be confirmed — check the primary protocol.
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Official title

Assessment of the Correlation Between Lipoprotein (a) Levels and Coronary Artery Findings on Multislice Computed Tomography

Overview

The goal of this observational study is to evaluate whether serum Lipoprotein(a) \[Lp(a)\] levels are associated with coronary artery calcium (CAC) score measured by multi-slice computed tomography (MSCT) in adults undergoing cardiac risk assessment. The main questions it aims to answer are: * Is there a correlation between elevated Lp(a) levels and higher CAC scores? * Does Lp(a) provide additional predictive value for subclinical atherosclerosis beyond traditional cardiovascular risk factors? Participants will: * Undergo a non-contrast MSCT scan to measure CAC score. * Provide a blood sample for measurement of Lp(a) and routine lipid profile. * Have baseline clinical and demographic data collected, including cardiovascular risk factors.

Detailed description

Lipoprotein(a) \[Lp(a)\] is a genetically determined lipoprotein particle structurally similar to LDL, with an additional apolipoprotein(a) component. Elevated Lp(a) levels have been identified as an independent and causal risk factor for atherosclerotic cardiovascular disease (ASCVD). The pro-atherogenic, pro-thrombotic, and pro-inflammatory properties of Lp(a) contribute to plaque development and vascular calcification.

Coronary artery calcium (CAC) score, assessed by non-contrast multi-slice computed tomography (MSCT), is a widely validated imaging biomarker of subclinical coronary atherosclerosis. CAC burden strongly predicts future cardiovascular events and is frequently used for individualized risk stratification. Recent studies suggest that individuals with elevated Lp(a) may also demonstrate higher CAC scores and faster progression of coronary calcification. However, the strength and consistency of this association remain insufficiently defined across different populations.

This observational study is designed to evaluate the correlation between serum Lp(a) levels and CAC score in adult participants undergoing cardiovascular risk assessment. Participants will undergo non-contrast MSCT scanning for CAC scoring, fasting blood sampling for Lp(a) and routine lipid profile, and collection of baseline demographic and clinical risk factors. Multivariable analyses will assess the independent relationship between Lp(a) and CAC score, as well as the potential incremental predictive value of Lp(a) beyond traditional risk factors such as LDL-C, hypertension, diabetes, and smoking.

We hypothesize that higher Lp(a) levels will be associated with higher CAC scores, independent of conventional cardiovascular risk factors, and that patients with both elevated Lp(a) and high CAC (≥100) will represent the subgroup at greatest risk for ASCVD. Demonstrating this relationship may improve cardiovascular risk stratification and highlight the importance of integrating Lp(a) measurement with imaging-based assessment in the early prevention of ASCVD.

Primary outcome measures

  • Correlation between serum lipoprotein (a) levels and coronary artery calcium (CAC) score as measured by MSCT. [Time frame: Baseline]
Secondary outcome measures (1)
  • Check which of these patients will need revascularization after 6 to 12 months [Time frame: Baseline]

Eligibility criteria

Inclusion criteria

  • 1-adults aged 40-70
  • 2- classified as intermediate cardiovascular risk (10-20% 10 years ASCVD risk)
  • 3-undergoing MsCT for suspected coronary artery disease
  • 4- ability to provide informed consent

Exclusion criteria

  • 1- known CAD or prior revascularization
  • 2-history of myocardial infarction or stroke
  • 3- statin or PCK9 inhibitor use in the past 3 months
  • 4-renal insufficiency (eGFR < 45ml/min/1.73m2)
  • 5-active inflammation or autoimmune disease

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: No

Study design

Observational model
Cohort

Study locations

Center list to be confirmed — check the primary protocol.

Publications

  • Zeitouni M, Nanna MG, Sun JL, Chiswell K, Peterson ED, Navar AM. Performance of Guideline Recommendations for Prevention of Myocardial Infarction in Young Adults. J Am Coll Cardiol. 2020 Aug 11;76(6):653-664. doi: 10.1016/j.jacc.2020.06.030. PMID 32762899
  • Kobayashi R, Kawakatsu S, Morioka D, Suzuki A. Diversity of dopamine transporter images in frontotemporal lobar degeneration-motor neuron disease. Psychogeriatrics. 2022 Sep;22(5):771. doi: 10.1111/psyg.12860. Epub 2022 Jun 5. No abstract available. PMID 35665572
  • Thanassoulis G, Campbell CY, Owens DS, Smith JG, Smith AV, Peloso GM, Kerr KF, Pechlivanis S, Budoff MJ, Harris TB, Malhotra R, O'Brien KD, Kamstrup PR, Nordestgaard BG, Tybjaerg-Hansen A, Allison MA, Aspelund T, Criqui MH, Heckbert SR, Hwang SJ, Liu Y, Sjogren M, van der Pals J, Kalsch H, Muhleisen TW, Nothen MM, Cupples LA, Caslake M, Di Angelantonio E, Danesh J, Rotter JI, Sigurdsson S, Wong Q, PMID 23388002
  • Hemmelgarn BR, Manns BJ, Lloyd A, James MT, Klarenbach S, Quinn RR, Wiebe N, Tonelli M; Alberta Kidney Disease Network. Relation between kidney function, proteinuria, and adverse outcomes. JAMA. 2010 Feb 3;303(5):423-9. doi: 10.1001/jama.2010.39. PMID 20124537
  • Kamstrup PR, Benn M, Tybjaerg-Hansen A, Nordestgaard BG. Extreme lipoprotein(a) levels and risk of myocardial infarction in the general population: the Copenhagen City Heart Study. Circulation. 2008 Jan 15;117(2):176-84. doi: 10.1161/CIRCULATIONAHA.107.715698. Epub 2007 Dec 17. PMID 18086931
  • Tsimikas S. A Test in Context: Lipoprotein(a): Diagnosis, Prognosis, Controversies, and Emerging Therapies. J Am Coll Cardiol. 2017 Feb 14;69(6):692-711. doi: 10.1016/j.jacc.2016.11.042. PMID 28183512
  • Budoff MJ, Shaw LJ, Liu ST, Weinstein SR, Mosler TP, Tseng PH, Flores FR, Callister TQ, Raggi P, Berman DS. Long-term prognosis associated with coronary calcification: observations from a registry of 25,253 patients. J Am Coll Cardiol. 2007 May 8;49(18):1860-70. doi: 10.1016/j.jacc.2006.10.079. Epub 2007 Apr 20. PMID 17481445
  • Greenland P, Blaha MJ, Budoff MJ, Erbel R, Watson KE. Coronary Calcium Score and Cardiovascular Risk. J Am Coll Cardiol. 2018 Jul 24;72(4):434-447. doi: 10.1016/j.jacc.2018.05.027. PMID 30025580

Identifiers

NCT: NCT07184034 · Lipoprotein a assessment

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗