Literature DB >> 28938968

The Lipid-Rich Plaque Study of vulnerable plaques and vulnerable patients: Study design and rationale.

Ron Waksman1, Rebecca Torguson2, Mia-Ashley Spad2, Hector Garcia-Garcia2, James Ware3, Rui Wang3, Sean Madden4, Priti Shah4, James Muller5.   

Abstract

BACKGROUND: It has been hypothesized that the outcome post-PCI could be improved by the detection and subsequent treatment of vulnerable patients and lipid-rich vulnerable coronary plaques (LRP). A near-infrared spectroscopy (NIRS) catheter capable of detecting LRP is being evaluated in The Lipid-Rich Plaque Study. STUDY
DESIGN: The LRP Study is an international, multicenter, prospective cohort study conducted in patients with suspected coronary artery disease (CAD) who underwent cardiac catheterization with possible ad hoc PCI for an index event. Patient level and plaque level events were detected by follow-up in the subsequent 2 years. Enrollment began in February 2014 and was completed in March 2016; a total of 1,562 patients were enrolled. Adjudication of new coronary event occurrence and de novo culprit lesion location during the 2-year follow-up is performed by an independent clinical end-points committee (CEC) blinded to NIRS-IVUS findings. The first analysis of the results will be performed when at least 20 de novo events have occurred for which follow-up angiographic data and baseline NIRS-IVUS measurements are available. It is expected that results of the study will be announced in 2018.
SUMMARY: The LRP Study will test the hypotheses that NIRS-IVUS imaging to detect LRP in patients can identify vulnerable patients and vulnerable plaques. Identification of vulnerable patients will assist future studies of novel systemic therapies; identification of localized vulnerable plaques would enhance future studies of possible preventive measures.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28938968     DOI: 10.1016/j.ahj.2017.02.010

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  6 in total

Review 1.  A Survey on Coronary Atherosclerotic Plaque Tissue Characterization in Intravascular Optical Coherence Tomography.

Authors:  Alberto Boi; Ankush D Jamthikar; Luca Saba; Deep Gupta; Aditya Sharma; Bruno Loi; John R Laird; Narendra N Khanna; Jasjit S Suri
Journal:  Curr Atheroscler Rep       Date:  2018-05-21       Impact factor: 5.113

Review 2.  Evolving concepts of the vulnerable atherosclerotic plaque and the vulnerable patient: implications for patient care and future research.

Authors:  Prakriti Gaba; Bernard J Gersh; James Muller; Jagat Narula; Gregg W Stone
Journal:  Nat Rev Cardiol       Date:  2022-09-23       Impact factor: 49.421

Review 3.  The changing landscape of atherosclerosis.

Authors:  Peter Libby
Journal:  Nature       Date:  2021-04-21       Impact factor: 69.504

4.  Near-infrared spectroscopy predicts events in men and women: Results from the Lipid Rich Plaque study.

Authors:  Frans B Mensink; Tim J F Ten Cate; Sander A J Damen; Kit Roes; Carlo Di Mario; Varinder Singh; Ziad A Ali; William Skinner; Andre Artis; Rebecca Torguson; Cheng Zhang; Gheorghe Doros; Hector M Garcia-Garcia; Gary S Mintz; Robert-Jan van Geuns; Ron Waksman
Journal:  Int J Cardiol Heart Vasc       Date:  2022-03-08

5.  Comparative Quantification of Arterial Lipid by Intravascular Photoacoustic-Ultrasound Imaging and Near-Infrared Spectroscopy-Intravascular Ultrasound.

Authors:  Ayeeshik Kole; Yingchun Cao; Jie Hui; Islam A Bolad; Mouhamad Alloosh; Ji-Xin Cheng; Michael Sturek
Journal:  J Cardiovasc Transl Res       Date:  2018-11-28       Impact factor: 4.132

6.  Quantitative Validation of the Coronary Angioscopic Yellow Plaque with Lipid Core Burden Index Assessed by Intracoronary Near-Infrared Spectroscopy.

Authors:  Takashi Omatsu; Yohei Sotomi; Tomoaki Kobayashi; Yuma Hamanaka; Akio Hirata; Atsushi Hirayama; Yasunori Ueda; Yasushi Sakata; Yoshiharu Higuchi
Journal:  J Atheroscler Thromb       Date:  2021-01-22       Impact factor: 4.928

  6 in total

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