Enhancing Cardiovascular Risk Prediction with a Simplified Carotid IMT Protocol: Evidence from the IMPROVE Study

<b>Background/Objectives</b>: Carotid intima-media thickness (CIMT) has long been used as an index of subclinical atherosclerosis, but its role as a risk modifier in cardiovascular (CV) risk optimization has recently been questioned due to methodological problems, such as lack of protocol standardization and scanning difficulties. In this multicentre, longitudinal, and observational study, we tested the predictive ability of two new CIMT variables detectable with a simplified, quick, and easy-to-standardize protocol. <b>Methods</b>: CIMT was measured in 3165 subjects from six centers, in five European countries, belonging to the IMPROVE study. The two variables tested were the average of two maximal CIMT measures taken, from a single angle, in the right and left common carotids (1CC-IMT<sub>mean-of-2-max</sub>) or bifurcations (BIF-IMT<sub>mean-of-2-max</sub>). The ability to predict CV events, on top of the SCORE2/SCORE2-OP risk algorithm, was quantified by the time-dependent increase in the receiver operating characteristic (ROC) area under the curve (AUC). <b>Results</b>: During a median follow-up of 7.1 years, 367 cardio-, cerebro-, and peripheral-vascular events were registered. Both CIMT variables tested were associated with CV risk, but 1CC-IMT<sub>mean-of-2-max</sub> was also able to significantly increase the ROC AUC over the risk score (+0.017, <i>p</i> = 0.014). The result was stable after running several sensitivity analyses. <b>Conclusions</b>: 1CC-IMT<sub>mean-of-2-max</sub> is able to significantly improve the predictive capacity of SCORE2/SCORE2-OP. Being based on a simple and easily standardized measurement protocol, this new variable is a promising candidate for application in mass screening and risk assessment in primary prevention.

Authors

Institutions

Publication Details

Journal
Biomedicines
Published
2025-02-26
DOI
https://doi.org/10.3390/biomedicines13030584
Citations
3
Primary Topic
Cardiovascular Health and Disease Prevention
Type
article
Field-Weighted Citation Impact
4.16

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Cardiovascular Risk Prediction with a Simplified Carotid IMT Protocol: Evidence from the IMPROVE Study

Matteo Pirro, Roberta Baetta, Bruna Gigante, Anna Maria Malagoni et al.
3 citations
Biomedicines
Cardiovascular Health and Disease Prevention
4.16
article

Enhancing Cardiovascular Risk Prediction with a Simplified Carotid IMT Protocol: Evidence from the IMPROVE Study

Matteo Pirro, Roberta Baetta, Bruna Gigante, Anna Maria Malagoni, Philippe Giral, B. Frigerio, Per Eriksson, Daniela Sansaro, Nicolò Capra, A. Ravani, Fabrizio Veglia, Mauro Amato, Antonio Gallo, Rona J. Strawbridge, Damiano Baldassarre, Daniela Coggi, Douwe J. Mulder, Kai Savonen, Elena Tremoli
article en
3 citations

Abstract

<b>Background/Objectives</b>: Carotid intima-media thickness (CIMT) has long been used as an index of subclinical atherosclerosis, but its role as a risk modifier in cardiovascular (CV) risk optimization has recently been questioned due to methodological problems, such as lack of protocol standardization and scanning difficulties. In this multicentre, longitudinal, and observational study, we tested the predictive ability of two new CIMT variables detectable with a simplified, quick, and easy-to-standardize protocol. <b>Methods</b>: CIMT was measured in 3165 subjects from six centers, in five European countries, belonging to the IMPROVE study. The two variables tested were the average of two maximal CIMT measures taken, from a single angle, in the right and left common carotids (1CC-IMT<sub>mean-of-2-max</sub>) or bifurcations (BIF-IMT<sub>mean-of-2-max</sub>). The ability to predict CV events, on top of the SCORE2/SCORE2-OP risk algorithm, was quantified by the time-dependent increase in the receiver operating characteristic (ROC) area under the curve (AUC). <b>Results</b>: During a median follow-up of 7.1 years, 367 cardio-, cerebro-, and peripheral-vascular events were registered. Both CIMT variables tested were associated with CV risk, but 1CC-IMT<sub>mean-of-2-max</sub> was also able to significantly increase the ROC AUC over the risk score (+0.017, <i>p</i> = 0.014). The result was stable after running several sensitivity analyses. <b>Conclusions</b>: 1CC-IMT<sub>mean-of-2-max</sub> is able to significantly improve the predictive capacity of SCORE2/SCORE2-OP. Being based on a simple and easily standardized measurement protocol, this new variable is a promising candidate for application in mass screening and risk assessment in primary prevention.

BiomedicinesVol. 13(3)
University Medical Center Groningen (NL), Karolinska University Hospital (SE), Inserm (FR), University of Groningen (NL), University of Eastern Finland (FI), University of Milan (IT), University of Perugia (IT), Karolinska Institutet (SE), Sorbonne Université (FR), Centro Cardiologico Monzino (IT), Assistance Publique – Hôpitaux de Paris (FR), Maria Cecilia Hospital (IT), Pitié-Salpêtrière Hospital (FR), Health Data Research UK (GB), Unité de recherche sur les maladies cardiovasculaires et métaboliques (FR), University of Glasgow (GB)
European Commission, Ministero della Salute
Partnerships for the goals
Openalex Percentile: Top 7%
Cardiovascular Health and Disease Prevention
4.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.