The Prediction of Extent and Risk Profile of Coronary Atherosclerosis and Their Changes During Lipid-lowering Therapy Based on Non-invasive Techniques

NCT ID: NCT01773512

Last Updated: 2013-01-23

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

UNKNOWN

Clinical Phase

PHASE4

Total Enrollment

60 participants

Study Classification

INTERVENTIONAL

Study Start Date

2012-06-30

Study Completion Date

2015-06-30

Brief Summary

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* The prediction of extent and risk profile of coronary atherosclerosis based on clinical evaluation and non-invasive techniques.
* Detailed analysis of plaque volume, plaque composition, risk plaque features and shear stress (WSS) changes during lipid lowering therapy (rosuvastatin 40mg) from 3D vessel reconstruction.
* Prediction of changes in coronary arteries based on changes in non-invasive examinations.
* Examination of WSS influence on atherosclerosis development and changes of WSS during lipid lowering therapy.

Detailed Description

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The fundamental aim of this project is development of reliable algorithm for detection of extent and risk profile of coronary atherosclerosis based on non-invasive examinations (carotid ultrasound, examination of retinal vessel, diagnosis of endothelial dysfunction, pro-inflammatory markers including new markers of atherosclerosis and gene polymorphisms) with maximal effort on diagnosis of vulnerable plaques. The second part of the study is prediction of coronary atherosclerosis changes during high-dose lipid-lowering therapy (rosuvastatin 40 mg daily). Coronary artery impairment will be examined by up-to date technology using the fusion of angiography, intravascular ultrasound and virtual histology for 3D coronary artery reconstruction together with information about mechanical properties of arteries like a vessel shear stress. This algorithm for non-invasive assessment of coronary impairment and its changes during will be used for detection of high risk patients (in terms of acute coronary syndrome development) and of patients with low response to statin therapy. Further target is detailed assessment of atherosclerosis development and its changes during lipid-lowering therapy.

Conditions

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Coronary Artery Disease

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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Rosuvastatin

All patients will be using rosuvastatin 40 mg

Group Type EXPERIMENTAL

Rosuvastatin

Intervention Type DRUG

All patients will be using rosuvastatin 40 mg

Interventions

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Rosuvastatin

All patients will be using rosuvastatin 40 mg

Intervention Type DRUG

Eligibility Criteria

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Inclusion Criteria

* stable angina pectoris

Exclusion Criteria

* age less than 18 or more than 80
* renal insufficiency
* liver insufficiency
* pregnancy or , child potential without contraception
* intolerance of statins
* rhabdomyolysis or other myopathy in patient´s history
* acute coronary syndrome in last 6 weeks
* coronary anatomy unsuitable for intravascular ultrasound
* active cancer
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Ministry of Health, Czech Republic

OTHER_GOV

Sponsor Role collaborator

Czech Ministry of Education

OTHER_GOV

Sponsor Role collaborator

University of Iowa

OTHER

Sponsor Role collaborator

Loyola University Chicago

OTHER

Sponsor Role collaborator

General University Hospital, Prague

OTHER

Sponsor Role lead

Responsible Party

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Tomas Kovarnik

MD, PhD

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Loyola University Hospital

Maywood, Illinois, United States

Site Status ACTIVE_NOT_RECRUITING

The University of Iowa

Iowa City, Iowa, United States

Site Status ACTIVE_NOT_RECRUITING

General University Hospital

Prague, , Czechia

Site Status RECRUITING

Countries

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United States Czechia

Facility Contacts

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Tomas Kovarnik, MD, PhD

Role: primary

+420224962687

Jan Horak, MD, PhD

Role: backup

+420224962605

References

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Kovarnik T, Kral A, Skalicka H, Mintz GS, Kralik L, Chval M, Horak J, Skalicka L, Sonka M, Wahle A, Downe RW, Uhrova J, Benakova H, Cernohousova L, Martasek P, Belohlavek J, Aschermann M, Linhart A. The prediction of coronary artery disease based on non-invasive examinations and heme oxygenase 1 polymorphism versus virtual histology. J Invasive Cardiol. 2013 Jan;25(1):32-7.

Reference Type BACKGROUND
PMID: 23293173 (View on PubMed)

Sonka M, Downe RW, Garvin JW, Lopez J, Kovarnik T, Wahle A. IVUS-based assessment of 3D morphology and virtual histology: prediction of atherosclerotic plaque status and changes. Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:6647-50. doi: 10.1109/IEMBS.2011.6091639.

Reference Type BACKGROUND
PMID: 22255863 (View on PubMed)

Kovarnik T, Chen Z, Mintz GS, Wahle A, Bayerova K, Kral A, Chval M, Kopriva K, Lopez J, Sonka M, Linhart A. Plaque volume and plaque risk profile in diabetic vs. non-diabetic patients undergoing lipid-lowering therapy: a study based on 3D intravascular ultrasound and virtual histology. Cardiovasc Diabetol. 2017 Dec 7;16(1):156. doi: 10.1186/s12933-017-0637-0.

Reference Type DERIVED
PMID: 29212544 (View on PubMed)

Other Identifiers

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IGA 2012 NT/13224

Identifier Type: OTHER_GRANT

Identifier Source: secondary_id

UK2012

Identifier Type: -

Identifier Source: org_study_id

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