title: The carotid artery plaque size and echogenicity are related to different cardiovascular risk factors in the elderly: the Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS) study.
abstract: Carotid plaques can be characterised by ultrasound by size and echogenicity. Both size and echogenicity are predictors of cardiovascular events. The aim of this study was to examine whether traditional risk factors and markers of inflammation and oxidation were associated with plaque size and echogenicity. Computerised analysis of carotid plaque size and echogenicity (grey scale median, GSM) were performed by ultrasound in a population-based health survey in 1,016 subjects aged 70 years (PIVUS study). Information on cardiovascular risk factors was collected, together with markers of inflammation and oxidation. Increased Framingham risk score, systolic blood pressure, higher BMI and decreased HDL, lower glutathione levels were related to echolucent plaques. Previous or present smoking was common with significantly more pack-years related to the echorich plaques. Plaque size was associated with increased Framingham risk score, systolic blood pressure, blood glucose levels, smoking, ApoB/A1 ratio, OxLDL, TNF alpha, HOMA insulin resistance, leucocyte count, decreased BCD-LDL and low levels of l-selectin. Low HDL, increased BMI and decreased glutathione levels were associated with the echolucency of carotid plaques, implying metabolic factors to play a role for plaque composition. Markers of inflammation were related to plaque size alone, implying inflammation to be predominantly associated with the amount of atherosclerosis. These results suggest that plaque size and echogenicity are influenced by different risk factors.
authors.affiliation: Department of Medicine, Uppsala University Hospital, 75185 Uppsala, Sweden. jessika.andersson@medsci.uu.se
authors.forename: Jessika
authors.initials: J
authors.lastname: Andersson
authors.forename: Johan
authors.initials: J
authors.lastname: Sundström
authors.forename: Lisa
authors.initials: L
authors.lastname: Kurland
authors.forename: Thomas
authors.initials: T
authors.lastname: Gustavsson
authors.forename: Johannes
authors.initials: J
authors.lastname: Hulthe
authors.forename: Anders
authors.initials: A
authors.lastname: Elmgren
authors.forename: Kersti
authors.initials: K
authors.lastname: Zilmer
authors.forename: Mihkel
authors.initials: M
authors.lastname: Zilmer
authors.forename: Lars
authors.initials: L
authors.lastname: Lind
mesh_terms: D000368:Aged; D050197:Atherosclerosis / Q000000981:diagnostic imaging; D015415:Biomarkers / Q000032:analysis; D002318:Cardiovascular Diseases / Q000453:epidemiology*; D016893:Carotid Stenosis / Q000000981:diagnostic imaging* / Q000453:epidemiology / Q000473:pathology*; D005260:Female; D006801:Humans; D007249:Inflammation; D008297:Male; D018384:Oxidative Stress; D011446:Prospective Studies; D012307:Risk Factors; D018615:Ultrasonography, Doppler, Color
chemical_list: D015415:Biomarkers