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Article details
Title
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
Published in
PLOS ONE, April 2018
DOI 10.1371/journal.pone.0191172
Pubmed ID
Authors
Abstract

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. 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. 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.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 17 17%
Professor 9 9%
Student > Bachelor 6 6%
Student > Ph. D. Student 6 6%
Student > Doctoral Student 4 4%
Other 16 16%
Unknown 40 41%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 23 23%
Nursing and Health Professions 5 5%
Biochemistry, Genetics and Molecular Biology 4 4%
Social Sciences 3 3%
Economics, Econometrics and Finance 2 2%
Other 11 11%
Unknown 50 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 March 2022.
All research outputs
#26,809,226
of 32,455,721 outputs
Outputs from PLOS ONE
#175,537
of 216,784 outputs
Outputs of similar age
#288,850
of 361,731 outputs
Outputs of similar age from PLOS ONE
#2,793
of 3,460 outputs
Altmetric has tracked 32,455,721 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
So far Altmetric has tracked 216,784 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.9. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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