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Determinants of Carotid Wall Echolucency in a Cohort of European High Cardiovascular Risk Subjects: A Cross-Sectional Analysis of IMPROVE Baseline Data.
Frigerio, Beatrice; Coggi, Daniela; Bonomi, Alice; Amato, Mauro; Capra, Nicolò; Colombo, Gualtiero I; Sansaro, Daniela; Ravani, Alessio; Savonen, Kai; Giral, Philippe; Gallo, Antonio; Pirro, Matteo; Gigante, Bruna; Eriksson, Per; Strawbridge, Rona J; Mulder, Douwe J; Tremoli, Elena; Veglia, Fabrizio; Baldassarre, Damiano.
Affiliation
  • Frigerio B; Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy.
  • Coggi D; Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy.
  • Bonomi A; Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy.
  • Amato M; Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy.
  • Capra N; Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy.
  • Colombo GI; Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy.
  • Sansaro D; Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy.
  • Ravani A; Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy.
  • Savonen K; Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, 70100 Kuopio, Finland.
  • Giral P; Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, 70210 Kuopio, Finland.
  • Gallo A; INSERM, Unité de Recherche sur les Maladies Cardiovasculaires, le Métabolisme et la Nutrition, ICAN, Sorbonne Université, F-75013 Paris, France.
  • Pirro M; Lipidology and Cardiovascular Prevention Unit, Department of Nutrition, APHP, Sorbonne Université, Hôpital Pitié-Salpêtrière, F-75013 Paris, France.
  • Gigante B; INSERM, Unité de Recherche sur les Maladies Cardiovasculaires, le Métabolisme et la Nutrition, ICAN, Sorbonne Université, F-75013 Paris, France.
  • Eriksson P; Lipidology and Cardiovascular Prevention Unit, Department of Nutrition, APHP, Sorbonne Université, Hôpital Pitié-Salpêtrière, F-75013 Paris, France.
  • Strawbridge RJ; Internal Medicine, Angiology and Arteriosclerosis Diseases, Department of Medicine and Surgery, University of Perugia, 06129 Perugia, Italy.
  • Mulder DJ; Department of Medicine Solna, Division of Cardiovascular Medicine, Karolinska Institutet, Stockholm, Karolinska University Hospital, 17177 Solna, Sweden.
  • Tremoli E; Department of Medicine Solna, Division of Cardiovascular Medicine, Karolinska Institutet, Stockholm, Karolinska University Hospital, 17177 Solna, Sweden.
  • Veglia F; Department of Medicine Solna, Division of Cardiovascular Medicine, Karolinska Institutet, Stockholm, Karolinska University Hospital, 17177 Solna, Sweden.
  • Baldassarre D; School of Health and Wellbeing, University of Glasgow, Glasgow G12 8TB, UK.
Biomedicines ; 12(4)2024 Mar 26.
Article in En | MEDLINE | ID: mdl-38672093
ABSTRACT
Echolucency, a measure of plaque instability associated with increased cardiovascular risk, can be assessed in both the carotid plaque and the plaque-free common carotid intima-media (IM) complex as a gray-scale median (plaque-GSM and IM-GSM, respectively). The impact of specific vascular risk factors on these two phenotypes remains uncertain, including the nature and extent of their influence. This study aims to seek the determinants of plaque-GSM and IM-GSM. Plaque-GSM and IM-GSM were measured in subjects from the IMPROVE study cohort (aged 54-79, 46% men) recruited in five European countries. Plaque-GSM was measured in subjects who had at least one IMTmax ≥ 1.5 mm (n = 2138), whereas IM-GSM was measured in all subjects included in the study (n = 3188). Multiple regression with internal cross-validation was used to find independent predictors of plaque-GSM and IM-GSM. Plaque-GSM determinants were plaque-size (IMTmax), and diastolic blood pressure. IM-GSM determinants were the thickness of plaque-free common carotid intima-media complex (PF CC-IMTmean), height, systolic blood pressure, waist/hip ratio, treatment with fibrates, mean corpuscular volume, treatment with alpha-2 inhibitors (sartans), educational level, and creatinine. Latitude, and pack-yearscode were determinants of both plaque-GSM and IM-GSM. The overall models explain 12.0% of plaque-GSM variability and 19.7% of IM-GSM variability. A significant correlation (r = 0.51) was found between plaque-GSM and IM-GSM. Our results indicate that IM-GSM is a weighty risk marker alternative to plaque-GSM, offering the advantage of being readily measurable in all subjects, including those in the early phases of atherosclerosis where plaque occurrence is relatively infrequent.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Biomedicines Year: 2024 Document type: Article Affiliation country: Italy

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Biomedicines Year: 2024 Document type: Article Affiliation country: Italy