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Predictive value for cardiovascular events of common carotid intima media thickness and its rate of change in individuals at high cardiovascular risk - Results from the PROG-IMT collaboration.

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Date
2018-01
Authors
Lorenz, Matthias W
Gao, Lu
Ziegelbauer, Kathrin
Norata, Giuseppe Danilo
Empana, Jean Philippe
Schmidtmann, Irene
Lin, Hung-Ju
McLachlan, Stela
Bokemark, Lena
Ronkainen, Kimmo
Amato, Mauro
Schminke, Ulf
Srinivasan, Sathanur R
Lind, Lars
Okazaki, Shuhei
Stehouwer, Coen DA
Willeit, Peter
Polak, Joseph F
Steinmetz, Helmuth
Sander, Dirk
Poppert, Holger
Desvarieux, Moise
Ikram, M Arfan
Johnsen, Stein Harald
Staub, Daniel
Sirtori, Cesare R
Iglseder, Bernhard
Beloqui, Oscar
Engström, Gunnar
Friera, Alfonso
Rozza, Francesco
Xie, Wuxiang
Parraga, Grace
Grigore, Liliana
Plichart, Matthieu
Blankenberg, Stefan
Su, Ta-Chen
Schmidt, Caroline
Tuomainen, Tomi-Pekka
Veglia, Fabrizio
Völzke, Henry
Nijpels, Giel
Willeit, Johann
Sacco, Ralph L
Franco, Oscar H
Uthoff, Heiko
Hedblad, Bo
Suarez, Carmen
Izzo, Raffaele
Zhao, Dong
Wannarong, Thapat
Catapano, Alberico
Ducimetiere, Pierre
Espinola-Klein, Christine
Chien, Kuo-Liong
Price, Jackie F
Bergström, Göran
Kauhanen, Jussi
Tremoli, Elena
Dörr, Marcus
Berenson, Gerald
Kitagawa, Kazuo
Dekker, Jacqueline M
Kiechl, Stefan
Sitzer, Matthias
Bickel, Horst
Rundek, Tatjana
Hofman, Albert
Mathiesen, Ellisiv B
Castelnuovo, Samuela
Landecho, Manuel F
Rosvall, Maria
Gabriel, Rafael
de Luca, Nicola
Liu, Jing
Baldassarre, Damiano
Kavousi, Maryam
de Groot, Eric
Bots, Michiel L
Yanez, David N
Thompson, Simon G
PROG-IMT study group
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Editor
Pirro, Matteo
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Abstract
<h4>Aims</h4>Carotid intima media thickness (CIMT) predicts cardiovascular (CVD) events, but the predictive value of CIMT change is debated. We assessed the relation between CIMT change and events in individuals at high cardiovascular risk.<h4>Methods and results</h4>From 31 cohorts with two CIMT scans (total n = 89070) on average 3.6 years apart and clinical follow-up, subcohorts were drawn: (A) individuals with at least 3 cardiovascular risk factors without previous CVD events, (B) individuals with carotid plaques without previous CVD events, and (C) individuals with previous CVD events. Cox regression models were fit to estimate the hazard ratio (HR) of the combined endpoint (myocardial infarction, stroke or vascular death) per standard deviation (SD) of CIMT change, adjusted for CVD risk factors. These HRs were pooled across studies. In groups A, B and C we observed 3483, 2845 and 1165 endpoint events, respectively. Average common CIMT was 0.79mm (SD 0.16mm), and annual common CIMT change was 0.01mm (SD 0.07mm), both in group A. The pooled HR per SD of annual common CIMT change (0.02 to 0.43mm) was 0.99 (95% confidence interval: 0.95-1.02) in group A, 0.98 (0.93-1.04) in group B, and 0.95 (0.89-1.04) in group C. The HR per SD of common CIMT (average of the first and the second CIMT scan, 0.09 to 0.75mm) was 1.15 (1.07-1.23) in group A, 1.13 (1.05-1.22) in group B, and 1.12 (1.05-1.20) in group C.<h4>Conclusions</h4>We confirm that common CIMT is associated with future CVD events in individuals at high risk. CIMT change does not relate to future event risk in high-risk individuals.
Type
Journal article
Subject
PROG-IMT study group
Humans
Cardiovascular Diseases
Prognosis
Risk Factors
Aged
Middle Aged
Female
Male
Carotid Intima-Media Thickness
Intersectoral Collaboration
Permalink
https://hdl.handle.net/10161/26500
Published Version (Please cite this version)
10.1371/journal.pone.0191172
Publication Info
Lorenz, Matthias W; Gao, Lu; Ziegelbauer, Kathrin; Norata, Giuseppe Danilo; Empana, Jean Philippe; Schmidtmann, Irene; ... PROG-IMT study group (2018). Predictive value for cardiovascular events of common carotid intima media thickness and its rate of change in individuals at high cardiovascular risk - Results from the PROG-IMT collaboration. PloS one, 13(4). pp. e0191172. 10.1371/journal.pone.0191172. Retrieved from https://hdl.handle.net/10161/26500.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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David Yanez

Professor of Biostatistics & Bioinformatics
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