Enhancing Cardiovascular Risk Prediction with a Simplified Carotid IMT Protocol: Evidence from the IMPROVE Study
Fabrizio Veglia,
Anna Maria Malagoni,
Mauro Amato,
Rona J. Strawbridge,
Kai Savonen,
Philippe Giral,
Antonio Gallo,
Matteo Pirro,
Bruna Gigante,
Per Eriksson,
Douwe J. Mulder,
Beatrice Frigerio,
Daniela Sansaro,
Alessio Ravani,
Daniela Coggi,
Roberta Baetta,
Nicolò Capra,
Elena Tremoli,
Damiano Baldassarre
Affiliations
Fabrizio Veglia
Maria Cecilia Hospital, GVM Care & Research, 48033 Cotignola, Italy
Anna Maria Malagoni
Maria Cecilia Hospital, GVM Care & Research, 48033 Cotignola, Italy
Mauro Amato
Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
Rona J. Strawbridge
Department of Medicine Solna, Division of Cardiovascular Medicine, Karolinska Institutet, Stockholm, Karolinska University Hospital, 17177 Solna, Sweden
Kai Savonen
Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, 70100 Kuopio, Finland
Philippe Giral
INSERM, Unité de Recherche sur les Maladies Cardiovasculaires, le Métabolisme et la Nutrition, ICAN, Sorbonne Université, F-75013 Paris, France
Antonio Gallo
INSERM, Unité de Recherche sur les Maladies Cardiovasculaires, le Métabolisme et la Nutrition, ICAN, Sorbonne Université, F-75013 Paris, France
Matteo Pirro
Internal Medicine, Angiology and Arteriosclerosis Diseases, Department of Medicine and Surgery, University of Perugia, 06129 Perugia, Italy
Bruna Gigante
Department of Medicine Solna, Division of Cardiovascular Medicine, Karolinska Institutet, Stockholm, Karolinska University Hospital, 17177 Solna, Sweden
Per Eriksson
Department of Medicine Solna, Division of Cardiovascular Medicine, Karolinska Institutet, Stockholm, Karolinska University Hospital, 17177 Solna, Sweden
Douwe J. Mulder
Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands
Beatrice Frigerio
Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
Daniela Sansaro
Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
Alessio Ravani
Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
Daniela Coggi
Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
Roberta Baetta
Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
Nicolò Capra
Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
Elena Tremoli
Maria Cecilia Hospital, GVM Care & Research, 48033 Cotignola, Italy
Damiano Baldassarre
Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy
Background/Objectives: 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. Methods: 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-IMTmean-of-2-max) or bifurcations (BIF-IMTmean-of-2-max). 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). Results: 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-IMTmean-of-2-max was also able to significantly increase the ROC AUC over the risk score (+0.017, p = 0.014). The result was stable after running several sensitivity analyses. Conclusions: 1CC-IMTmean-of-2-max 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.