Intima-media thickness predicts stroke risk in the Heinz Nixdorf Recall study in association with vascular risk factors, age and gender

Introduction The impact of sleep disordered breathing (SDB) on arterial intima-media thickness (IMT), a surrogate measure for cardiovascular disease, remains uncertain, in part because of the potential for non-SDB vascular risk factor interactions. In the present study, we determined predictors for common carotid (CCA) and femoral (CFA) artery IMT in an adult, sleep clinic cohort where non-SDB vascular risk factors (particularly diabetes) were eliminated or controlled. Methods We recruited 296 participants for polysomnography (standard SDB severity metrics) and CCA/CFA ultrasound examinations, followed by a 12 month vascular risk factor minimisation (RFM) and continuous positive pressure (CPAP) intervention for participants with a range of SDB severity (RFM Sub-Group, n = 157; apnea hyponea index [AHI]: 14.7 (7.2–33.2), median [IQR]). Univariable and multivariable linear regression models determined independent predictors for IMT. Linear mixed effects modelling determined independent predictors for IMT change across the intervention study. P<0.05 was considered significant. Results Age, systolic blood pressure and waist:hip ratio were identified as non-SDB predictive factors for CCA IMT and age, weight and total cholesterol:HDL ratio for CFA IMT. No SDB severity metric emerged as an independent predictor for either CCA or CFA IMT, except in the RFM Sub-Group, where a 2-fold increase in AHI predicted a 2.4% increase in CFA IMT. Across the intervention study, CCA IMT decreased in those who lost weight, but there was no CPAP use interaction. CFA IMT, however, decreased by 12.9% (95%CI 6.8, 18.7%, p = 0.001) in those participants who both lost weight and used CPAP > = 4hours/night. Conclusion We conclude that SDB severity has little impact on CCA IMT values when non-SDB vascular risk factors are minimised or not present. This is the first study, however, to suggest a potential linkage between SDB severity and CFA IMT values. Trial registration Australian New Zealand Clinical Trials Registry, ACTRN12611000250932 and ACTRN12620000694910.

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Subclinical Arteriosclerosis is Associated with Common Vascular Risk Factors in Long-Term Survivors of Testicular Cancer

Journal of Clinical Medicine ◽

10.3390/jcm9040971 ◽

2020 ◽

Vol 9 (4) ◽

pp. 971

Author(s):

Javier Espíldora-Hernández ◽

Tania Díaz-Antonio ◽

Javier Baena-Espinar ◽

Inmaculada Alonso-Calderón ◽

José Rioja ◽

...

Keyword(s):

Risk Factors ◽

Testicular Cancer ◽

Abdominal Aorta ◽

Liver Steatosis ◽

Calcium Score ◽

Intima Media Thickness ◽

Vascular Risk Factors ◽

Metabolic Risk ◽

Vascular Risk ◽

Media Thickness

Cardiovascular disease risk is increased in survivors of testicular cancer because of exposure to treatment (chemotherapy and radiotherapy), as well as modification in lifestyle. Our aim was to assess the presence of subclinical arteriosclerosis in survivors of testicular cancer in comparison with a control group. This was a cross-sectional, observational, case–control study including 50 survivors of Germ Cell Tumor (GCT) (14 years of follow-up) and 53 age-matched controls with no cancer. We registered clinical data, cardiovascular risk factors, physical and Mediterranean questionnaires, intima-media thickness and plaque at carotid and femoral arteries by ultrasound, calcium score at the abdominal aorta, and liver steatosis by computed tomography, and applied analytical tests to quantify metabolic risk factors and inflammation markers. Patients showed a trend toward greater intima-media thickness (IMT) and plaques than controls, as well as a higher calcium score in the abdominal aorta. Remarkably, patients had higher waist circumference, insulin resistance (HOMA-IR), and liver steatosis, but lower physical activity and high-density lipoprotein (HDL) cholesterol than controls (all p < 0.05). In multivariate analyses, only common vascular risk factors were associated with subclinical arteriosclerosis. As a conclusion, in our study, a higher rate of subclinical arteriosclerosis in testicular cancer survivors was associated with classical metabolic risk factors and lifestyle, but not with exposure to chemotherapy.

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Effect of vascular risk factors on increase in carotid and femoral intima-media thickness. Identification of a risk scale

Atherosclerosis ◽

10.1016/j.atherosclerosis.2011.01.034 ◽

2011 ◽

Vol 216 (1) ◽

pp. 109-114 ◽

Cited By ~ 30

Author(s):

A. Berni ◽

A. Giuliani ◽

F. Tartaglia ◽

L. Tromba ◽

M. Sgueglia ◽

...

Keyword(s):

Risk Factors ◽

Intima Media Thickness ◽

Vascular Risk Factors ◽

Vascular Risk ◽

Media Thickness ◽

Risk Scale

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Association of Vascular Risk Factors With Carotid Intima Media Thickness After Kidney Transplant

Transplantation Journal ◽

10.1097/tp.0b013e3181f62fe4 ◽

2010 ◽

Vol 90 (9) ◽

pp. 980-985

Author(s):

Jennifer L. Larsen ◽

Gerald C. Groggel ◽

Jillian M. Witte ◽

Terica L. Hudson ◽

Elizabeth R. Lyden ◽

...

Keyword(s):

Risk Factors ◽

Kidney Transplant ◽

Intima Media Thickness ◽

Carotid Intima Media Thickness ◽

Vascular Risk Factors ◽

Vascular Risk ◽

Media Thickness

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Predictive value of ultrasound assessed carotid and femoral intima media thickness in coronary artery disease and its relation with age and gender

Journal of Indian College of Cardiology ◽

10.1016/j.jicc.2014.12.004 ◽

2015 ◽

Vol 5 (1) ◽

pp. 9-14 ◽

Cited By ~ 1

Author(s):

Geeta ◽

Savita ◽

Balvir Pachar ◽

Pintu Nahta ◽

J.K. Khatri

Keyword(s):

Coronary Artery Disease ◽

Coronary Artery ◽

Predictive Value ◽

Intima Media Thickness ◽

Age And Gender ◽

Media Thickness ◽

Artery Disease ◽

And Gender

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Vascular risk at younger ages most strongly associates with current and future brain volume

Neurology ◽

10.1212/wnl.0000000000006360 ◽

2018 ◽

Vol 91 (16) ◽

pp. e1479-e1486 ◽

Cited By ~ 14

Author(s):

Matthew P. Pase ◽

Kendra Davis-Plourde ◽

Jayandra J. Himali ◽

Claudia L. Satizabal ◽

Hugo Aparicio ◽

...

Keyword(s):

Risk Factors ◽

Risk Factor ◽

Stroke Risk ◽

Brain Volume ◽

Vascular Risk Factor ◽

Vascular Risk Factors ◽

Vascular Risk ◽

Cross Sectional ◽

Strength Of Association ◽

Risk Factor Burden

ObjectiveGiven the potential therapeutic effect of vascular disease control timing to reduce dementia risk, we investigated the age-related influences of vascular risk factor burden on brain structure throughout the lifespan.MethodsWe studied participants from the community-based prospective Framingham Heart Study. Overall vascular risk factor burden was calculated according to the Framingham Stroke Risk Profile, a validated algorithm that predicts stroke risk. Brain volume was estimated by MRI. We used cross-sectional data to examine how the strength of association between vascular risk factor burden and brain volume changed across each age decade from age 45–54 years through to 85–94 years (N = 2,887). Second, we leveraged up to 40 years of longitudinal data to determine how the strength of association between vascular risk factor burden and brain volume changed when vascular risk factors were examined at progressively earlier ages (N = 7,868).ResultsIn both cross-sectional and longitudinal analyses, higher vascular risk factor burden was associated with lower brain volume across each age decade. In the cross-sectional analysis, the strength of this association decreased with each decade of advancing age (p for trend < 0.0001). In longitudinal analysis, the strength of association between vascular risk factor burden and brain volume was stronger when vascular risk factors were measured at younger ages. For example, vascular risk factor burden was most strongly associated with lower brain volume in later life when vascular risk factors were measured at age 45 years.ConclusionVascular risk factors at younger ages appear to have detrimental effects on current and future brain volume.

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Abstract TMP58: Determinants of White Matter Hyperintensity in Acute Ischemic Stroke Patients: The MRI-GENIE Study

Stroke ◽

10.1161/str.48.suppl_1.tmp58 ◽

2017 ◽

Vol 48 (suppl_1) ◽

Author(s):

Anne-Katrin Giese ◽

Markus D Schirmer ◽

Adrian V Dalca ◽

Ramesh Sridharan ◽

Lisa Cloonan ◽

...

Keyword(s):

Diabetes Mellitus ◽

Risk Factors ◽

Ischemic Stroke ◽

White Matter ◽

Stroke Risk ◽

Smoking Status ◽

Vascular Risk Factors ◽

White Matter Hyperintensity ◽

Vascular Risk ◽

Prior Stroke

Introduction: White matter hyperintensity (WMH) is a highly heritable trait and a significant contributor to stroke risk and severity. Vascular risk factors contribute to WMH severity; however, knowledge of the determinants of WMH in acute ischemic stroke (AIS) is still limited. Hypothesis: WMH volume (WMHv) varies across AIS subtypes and is modified by vascular risk factors. Methods: We extracted WMHv from the clinical MRI scans of 2683 AIS subjects from the MRI-Genetics Interface Exploration (MRI-GENIE) study using a novel fully-automated, volumetric analysis pipeline. Demographic data, stroke risk factors and stroke subtyping for the Causative Classification of Stroke (CCS) were performed at each of the 12 international study sites. WMHv was natural log-transformed for linear regression analyses. Results: Median WMHv was 5.7cm 3 (interquartile range (IQR): 2.2-12.8cm 3 ). In univariable analysis, age (63.1 ± 14.7 years, β=0.04, SE=0.002), prior stroke (10.2%, β=0.66, SE=0.08), hypertension (65.4%, β=0.75, SE=0.05), diabetes mellitus (23.1%, β=0.35, SE=0.06), coronary artery disease (17.6%, β=0.04, SE=0.002), and atrial fibrillation (14.6%, β=0.48, SE=0.07) were significant predictors of WMHv (all p<0.0001), as well as smoking status (52.2%, β=0.15, SE=0.05, p=0.005), race (16.5% Non-Caucasian, β=0.25, SE=0.07) and ethnicity (8.2% Hispanic, β=0.30, SE=0.11) (all p<0.01). In multivariable analysis, age (β=0.04, SE=0.002), prior stroke (β=0.56, SE=0.08), hypertension (β=0.33, SE=0.05), smoking status (β=0.16, SE=0.05), race (β=0.42, SE=0.06), and ethnicity (β=0.34, SE=0.09) were independent predictors of WMHv (all p<0.0001), as well as diabetes mellitus (β=0.13, SE=0.06, p=0.02). WMHv differed significantly (p<0.0001, unadjusted) across CCS stroke subtypes: cardioembolic stroke (8.0cm 3 , IQR: 4.2-15.4cm 3 ), large-artery stroke (6.9cm 3 , IQR: 3.1-14.7cm 3 ), small-vessel stroke (5.8cm 3 , IQR: 2.5-13.5cm 3 ), stroke of undetermined (4.7cm 3 , IQR: 1.6-11.0cm 3 ) or other (2.55cm 3 , IQR: 0.9-8.8cm 3 ) causes. Conclusion: In this largest-to-date, multicenter hospital-based cohort of AIS patients with automated WMHv analysis, common vascular risk factors contribute significantly to WMH burden and WMHv varies by CCS subtype.

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