Relationship between nailfold videocapillaroscopic findings and cardiovascular risk factors

BACKGROUND

Nailfold Videocapillaroscopy (NVC) is a valuable tool in the differential diagnosis of Raynaud's phenomenon (RP), present in certain Rheumatic diseases (RD). Knowing that many people have cardiovascular risk factors (CVRF), the main objective was to demonstrate that CVRF and carotid plaques produce NVC alterations.

METHODS

Cross-sectional unicentric study carried out from 2020 to 2023. Four groups were formed: subjects with RD and RP, participants with RD without RP, subjects with RP without RD and finally participants without RP or RD (study group). Each subject exhibiting CVRF presented only a single risk factor. The variables collected were: sociodemographic, CVRF (diabetes, tobacco, alcohol (ALC), obesity (OBE), dyslipidemia and arterial hypertension (AH)), diseases, RP, treatments, tortuosities and NVC alterations (ramified capillaries, enlarged capillaries, giant capillaries, haemorrhages and density loss) and carotid ultrasound (CU).

RESULTS

402 subjects were included (76 % women, mean age 51 ± 16 years), 67 % had CVRF, 50 % RP and 38 % RD. Tortuosities were present in 100 % of CVRF participants. A statistically significant association was found between the presence of CVRF and all the NVC alterations: ramified capillaries (OR = 95.6), enlarged capillaries (OR = 59.2), giant capillaries (OR = 8.32), haemorrhages (OR = 17.6) and density loss (OR = 14.4). In particular, an association was found between giant capillaries with AH (p = 0,008) and OBE (p 〈0,001), and haemorrhages and density loss with ALC and OBE (p < 0,001). On the other hand, 40 subjects presented CU plaques (9.9 %), associated with enlarged capillaries (OR = 8.08), haemorrhages (OR = 4.04) and ramified capillaries (OR = 3.01). The pathological intima-media thickness was also associated with haemorrhages (OR = 3.14).

CONCLUSIONS

There is a clear association between CVRF and ultrasound atherosclerotic findings in carotid with NVC alterations. These findings are of special interest for a correct NVC interpretation and to avoid false positives in the diagnosis of primary and secondary RP.

Carotid Duplex Ultrasonography to Assess Severity of Low-Flow Low-Gradient Aortic Stenosis

BACKGROUND

Patients with low-flow, low-gradient aortic valve stenosis constitute a substantial subset of all severe aortic stenosis patients. However, assessment of true severity of these patients can be challenging. In this analysis, we study the utility of the common carotid artery waveforms to distinguish true from pseudo-severe low-flow low-gradient aortic stenosis.

METHODS

This is an observational analysis that included patients who underwent a transthoracic echocardiogram (TTE) and duplex carotid ultrasonography (DCUS) and had low-flow, low-gradient aortic stenosis with reduced left ventricular ejection fraction (LVEF) on the index TTE (LVEF <50%, calculated aortic valve area [AVA] of ≤1.0 cm2, mean and peak gradient of <40 and <64 mm Hg, respectively, and stroke volume index <35 mL/m2). Patients were classified as pseudo-severe and true-severe aortic stenosis based on additional subsequent testing. Differences in various TTE and DCUS waveform parameters across the aortic valve and the common carotid artery were compared between the 2 groups.

RESULTS

The study included 30 patients (60 carotid arteries). Fifteen patients were categorized as pseudo-severe and 15 as true severe aortic stenosis. There were no significant differences in calculated AVA, LVEF, stroke volume/stroke volume index, and Doppler Velocity Index in the 2 groups. Mean and peak gradient were higher in patients with true-severe aortic stenosis. Carotid acceleration time (cAT) was significantly prolonged in patients with true-severe compared with pseudo-severe aortic stenosis. A cAT ≥80 ms was 83.3% sensitive and 83.3% specific for true-severe aortic stenosis.

CONCLUSION

cAT acceleration time may be used to distinguish true from pseudo-severe low-flow, low-gradient aortic valve stenosis.

Cardiovascular event in a cohort of rheumatoid arthritis patients in Castilla-La Mancha: Utility of carotid ultrasound

Rheumatoid Arthritis (RA) has a mortality rate 1,3 to 3 times higher than the general population, with cardiovascular mortality accounting for 40-50% of cases. Currently, cardiovascular disease is considered an extraarticular manifestation of RA (OR: 1,5-4,0). Ultrasound measurement of the intima-media thickness (IMT) of the common carotid artery and the presence of atherosclerotic plaques (AP) is a non-invasive method and a surrogate marker of subclinical arteriosclerosis.

OBJECTIVE

To determine if subclinical arteriosclerosis findings through carotid ultrasound can serve as a good predictor of cardiovascular events (CVE) development in a cohort of RA patients over a 10-year period.

METHODOLOGY

A cohort of RA patients seen in the Rheumatology outpatient clinic of a hospital in Castilla La Mancha in 2013 was evaluated. A prospective evaluation for the development of CVE over the following 10 years was conducted, and its correlation with previous ultrasound findings of IMT and AP was analyzed.

RESULTS

Eight (24%) patients experienced a CVE. Three (9%) had heart failure, three (9%) had a stroke, and two (6%) experienced acute myocardial infarction. RA patients who developed a CVE had a higher IMT (0,97 +/- 0.08 mm) compared to the RA patients without CV complications (0,74 +/- 0.15 mm) (p = 0,003). The presence of IMT ≥ 0.9 mm and AP had a relative risk of 12,25 (p = 0,012) and 18,66 (p = 0,003), respectively, for the development of a CVE.

CONCLUSIONS

Carotid ultrasound in RA patients may allow for early detection of subclinical atherosclerosis before the development of CVE, with IMT ≥ 0.9 mm being the most closely associated finding with CVE, unaffected by age.

New atherogenic index for the prediction of carotid atherosclerosis based on the non-ultrasensitive c-reactive protein/HDL ratio

INTRODUCTION

Current guidelines recommend cardiovascular risk assessment as a preventive measure for cardiovascular diseases, whose fundamental etiology is arteriosclerosis. One of the tools used to estimate risk in clinical practice are atherogenic indices (AI), ratios between lipid fractions with well-established reference ranges. Despite its widespread use, there is still limited information on its clinical utility. In recent years, some research has reinforced the role of inflammation in the etiology and chronicity of the atherosclerotic process. The inclusion of inflammatory parameters in the AI calculation could improve its diagnostic performance in the detection of arteriosclerosis. We sought to evaluate a new AI as a ratio between C-reactive protein (CRP) values and high-density lipoprotein cholesterol (HDL) values.

METHODS

A total of 282 asymptomatic patients with no history of cardiovascular disease were included in the study. Laboratory tests with lipid profile and CRP, and carotid ultrasound to assess the presence of atheromatosis were performed in all of them. The new AI is established as the ratio between non-ultrasensitive CRP value in mg/dL (multiplied by 100) and HDL value in mg/dL. It was compared with the Castelli I and II indices, and the plasma atherogenic index. The optimal cut-off point of the new AI was value=1 as determined by ROC curve, with an area under the curve of 0.678 (95% CI 0.60-0.75; p<0.001).

RESULTS

Mean age of patients was 60.4±14.5 years. A total of 118 patients (41.8% of total) had carotid arteriosclerosis. When evaluating the diagnostic performance of different AIs, we found that CRP·100/HDL ratio showed the highest values of sensitivity and positive predictive value (0.73 and 0.68, respectively) compared to the Castelli I and II indices, and the plasma atherogenic index. It was also the only predictor of carotid atheromatosis both when considering its values quantitatively (with OR 1.4 [95% CI 1.1-1.7]; p=0.005), and qualitatively (with OR 2.9 [95% CI 1.5-5.5]; p<0.001) in patients with a CRP·100/HDL ratio>1.

CONCLUSIONS

The new PCR·100/HDL index showed the best diagnostic performance in the detection of carotid atheromatosis compared to other classic AIs in this Spanish population of asymptomatic patients.

Multi-view carotid ultrasound is stronger associated with cardiovascular risk factors than presence of plaque or single carotid intima media thickness measurements in subclinical atherosclerosis

We aimed to explore the prevalence of atherosclerosis by using multi-view ultrasound examination of the carotid arteries and its association with clinical risk factors in a middle-aged population at low to intermediate risk of cardiovascular disease (CVD). Carotid vascular ultrasound was performed in 3532 participants in the VIPVIZA trial. Mean and maximal carotid intima media thickness (cIMT) at prespecified angles and plaque presence were examined on the left and right side. Associations between CVD risk factors and ultrasound variables were quantified by partial least squares (PLS) regression. A combined ultrasound variable was computed using weights of the first PLS component. Associations between CVD risk factors and the combined multi-view ultrasound variable, single cIMT and plaque measurements, respectively, were determined using linear regression modelling. The participants' mean age was 55.7 years and 52.9% were women. Plaque prevalence was 51.1% in men and 39.0% in women. cIMT was higher in men than in women and in the left compared with the right carotid artery. The strongest association of CVD risk factors was observed with the combined multi-view ultrasound variable (R2 = 24%), compared with single cIMT variables (R2 = 14-18%) and plaque presence (R2 = 15%). The pattern was similar in both sexes. The association with CVD risk factors and the combined ultrasound variable was stronger in 40-year olds (R2 = 22%) compared with 50- or 60-year olds (R = 12%). CVD risk factors are stronger associated with a combined ultrasound variable than plaque presence or single cIMT measures suggesting that carotid multi-view ultrasonography better captures the focality of early atherosclerosis.Clinical Trial Registration: ClinicalTrials.gov, number NCT01849575. May 8, 2013.

Cardiovascular risk in rare diseases: a prognostic stratification model in a cohort of sarcoidosis patients

Sarcoidosis is a rare granulomatous disease that can affect any organ; as other chronic diseases, it leads to increased risk of atherosclerosis and cardiovascular (CV) disease. The aim of our observational study was to define a prognostic stratification model of sarcoidosis patients based on the evaluation of CV risk through common carotid Doppler ultrasound and cardiovascular risk scores assessment; for this reason, a clinical phenotyping of sarcoidosis patients in four subgroups was done, based on the different organ involvement. A cohort of 53 sarcoidosis patients and a cohort of 48 healthy volunteers were enrolled. Results showed that CV risk was higher in sarcoidosis cohort than in the control group when evaluated through CV risk scores and Doppler parameters: peak-systolic velocity (PSV) and end-diastolic velocity (EDV) were significantly lower in sarcoidosis cohort (p = 0.045 and p = 0.017, respectively), whereas intima media thickness (IMT) showed higher values in sarcoidosis group than in controls (p = 0.016). The analysis of sarcoidosis phenotypes showed no significative differences of CV risk among them when CV risk scores were considered, while partial differences emerged by evaluating subclinical atherosclerosis. Results also highlighted a relationship between CV risk score and carotid Doppler ultrasound parameters: EDV showed an inverse correlation with Framingham score (R = - 0.275, p = 0.004), whereas IMT showed a direct one (R = 0.429; p = 0.001); furthermore, an inverse correlation between PSV and EDV and illness duration (R = - 0.298, p = 0.030 and R = - 0.406, p = 0.002, respectively) was found, so suggesting a higher CV risk in patients with a longer story of disease.

Carotid atherosclerosis in the first five years since rheumatoid arthritis diagnosis: a cross sectional study

BACKGROUND

Systemic inflammation, documented before rheumatoid arthritis (RA) diagnosis, is associated with accelerated atherosclerosis. We aimed to compare the prevalence of carotid plaque (CP) in RA patients in the first five years since diagnosis and healthy controls, and to determine disease characteristics associated with the presence of subclinical atherosclerosis in RA patients.

METHODS

This was a cross-sectional study. We recruited 60 RA patients in the first five years since diagnosis and 60 matched healthy controls. Carotid ultrasound was performed to detect the presence of CP and measure carotid-intima media thickness (cIMT). Subclinical atherosclerosis was considered as the presence of CP and/or increased cIMT. Distribution was evaluated with the Kolmogorov-Smirnov test. Comparisons were made with Chi-square or Fisher's exact test for qualitative variables and Student's t or Mann-Whitney's U test for quantitative variables. A p-value < 0.05 was considered significant.

RESULTS

There were no differences in the demographic characteristics between RA patients and controls. The mean disease duration was 2.66 ± 1.39 years. A higher prevalence of CP (30.0% vs. 11.7%, p = 0.013), bilateral CP (18.3% vs. 3.3%, p = 0.008), increased cIMT (30.0% vs. 6.7%, p = 0.001), and subclinical atherosclerosis (53.3% vs. 18.3%, p = < 0.001) was found in RA patients. RA patients with subclinical atherosclerosis were older (56.70 years vs. 50.00 years, p = 0.002), presented a higher prevalence of dyslipidemia (53.1% vs. 14.3%, p = 0.002), and higher prevalence of classification in moderate-high disease activity category measured by DAS28-CRP (68.8% vs. 35.7%, p = 0.010). The latter variable persisted independently associated with subclinical atherosclerosis in the binary logistic regression (OR 6.11, 95% CI 1.51-24.70, p = 0.011).

CONCLUSIONS

In the first five years since diagnosis, higher prevalence of subclinical atherosclerosis, including CP was found in RA patients. Carotid ultrasound should be considered part of the systematic CVR evaluation of RA at the time of diagnosis.

New asymptomatic thrombosis caused by carotid web during the acute period of cerebral infarction

BACKGROUND

At present, the carotid web (CaW) as an important cause of cryptogenic ischemic stroke has gradually received clinical attention. CaW is associated with a high risk of stroke and patient is more likely to have recurrent stroke if the CaW is untreated. We report a patient who developed CaW related thrombosis during the acute period of cerebral infarction.

CASE PRESENTATION

A 49-year-old male patient with CaW in the left internal carotid artery was diagnosed by computed tomography angiography (CTA) and had two cerebral infarctions in two years. Within 72 h after thrombolysis for an acute cerebral infarction, acute thrombosis was identified between the web and the posterior wall of the carotid artery on carotid ultrasound. Emergent carotid endarterectomy (CEA) was performed to remove abnormal CaW structures and thrombosis to prevent stroke. The patient recovered well and was asymptomatic at 2 months follow-up.

CONCLUSION

Carotid web related thromboembolism is a rare cause of stroke. Carotid ultrasound plays an important role in the diagnosis of asymptomatic thrombosis caused by carotid web. Carotid endarterectomy is effective for stroke prevention in patient with carotid web related thrombosis.

Integrating Ultrasound-Derived Carotid Artery Stiffness in the Assessment of Cardiovascular Risk

Historically, pulse wave velocity (PWV) has been used to measure vascular stiffness, but is limited in its utility when certain vascular disease states are present, such as aneurysm or iliac stenosis. PWV can therefore only provide reliable assessment of global vascular stiffness in limited vascular pathology. Speckle tracking is a method of post-hoc ultrasound image analysis that can measure vascular stiffness in a more comprehensive manner. Evidence from in vitro as well as in vivo studies has validated these techniques in the assessment of strain, distensibility, modulus, and stiffness index (β) in the carotid arterial system. Unfortunately, despite the well-established correlation between vascular stiffness and cardiovascular morbidity and mortality, standard vascular laboratory ultrasound protocols do not include stiffness assessment. Herein, we present evidence in favor of integrating speckle tracking into carotid artery duplex protocols to measure vascular stiffness that can be utilized in medical management to modulate cardiovascular risk.

Carotid Vessel-Wall-Volume Ultrasound Measurement via a UNet++ Ensemble Algorithm Trained on Small Data Sets

Vessel wall volume (VWV) is a 3-D ultrasound measurement for the assessment of therapy in patients with carotid atherosclerosis. Deep learning can be used to segment the media-adventitia boundary (MAB) and lumen-intima boundary (LIB) and to quantify VWV automatically; however, it typically requires large training data sets with expert manual segmentation, which are difficult to obtain. In this study, a UNet++ ensemble approach was developed for automated VWV measurement, trained on five small data sets (n = 30 participants) and tested on 100 participants with clinically diagnosed coronary artery disease enrolled in a multicenter CAIN trial. The Dice similarity coefficient (DSC), average symmetric surface distance (ASSD), Pearson correlation coefficient (r), Bland-Altman plots and coefficient of variation (CoV) were used to evaluate algorithm segmentation accuracy, agreement and reproducibility. The UNet++ ensemble yielded DSCs of 91.07%-91.56% and 87.53%-89.44% and ASSDs of 0.10-0.11 mm and 0.33-0.39 mm for the MAB and LIB, respectively; the algorithm VWV measurements were correlated (r = 0.763-0.795, p < 0.001) with manual segmentations, and the CoV for VWV was 8.89%. In addition, the UNet++ ensemble trained on 30 participants achieved a performance similar to that of U-Net and Voxel-FCN trained on 150 participants. These results suggest that our approach could provide accurate and reproducible carotid VWV measurements using relatively small training data sets, supporting deep learning applications for monitoring atherosclerosis progression in research and clinical trials.

Focused carotid ultrasound to predict major adverse cardiac events among emergency department patients with chest pain

BACKGROUND AND OBJECTIVE

Point-of-care focused vascular ultrasound (FOVUS), an assessment of carotid artery plaque, predicts coronary artery disease in outpatients referred for coronary angiography. Our primary objective was to determine the diagnostic accuracy of sonographer-performed FOVUS to predict major adverse cardiac events (MACE) within 30 days among patients with suspected cardiac ischemia in the emergency department (ED).

METHODS

We conducted a prospective cohort study of patients with chest pain presenting to a tertiary care ED who had an electrocardiogram and cardiac troponin testing. The primary outcome was a composite of death, acute myocardial infarction, or re-vascularization at 30 days. A sonographer performed FOVUS scans in consenting eligible subjects. Emergency physicians, blinded to the sonographer FOVUS result, performed a second FOVUS on some subjects.

RESULTS

We recruited 326 subjects (age 62.1 ± 13.5 years; 166 (52%) men), 319 of whom completed an FOVUS scan by the sonographer. Of these, 198 (62%) had a positive FOVUS scan and 41 (13%) had a 30-day MACE. The sensitivity was 83% (95% CI 71-94%), specificity 41% (95% CI 36-47%), positive-likelihood ratio 1.41 (95% CI 1.19-1.68), and negative-likelihood ratio 0.41 (95% CI 0.23-0.75). Among 71 subjects also scanned by an emergency physician, the Kappa was 0.50 (95% CI 0.31-0.70), suggesting moderate agreement between sonographer and emergency physician on the determination of significant carotid plaque.

CONCLUSIONS

The presence of carotid plaque on sonographer-performed FOVUS is associated with 30-day MACE in ED patients presenting with chest pain. The prognostic performance of FOVUS is not sufficient to support its use as a stand-alone risk stratification tool in the ED. Future work should investigate FOVUS in conjunction with validated clinical decision rules for chest pain and the impact of enhanced training and quality improvement in the conduct of FOVUS by emergency physicians.

REGISTRATION

This study was registered at clinicaltrials.gov (NCT02947360).

Carotid ultrasonography as a strategy to optimize cardiovascular risk management in type 1 diabetes: a cohort study

BACKGROUND AND AIMS

Although cardiovascular disease (CVD) remains the leading cause of mortality in type 1 diabetes (T1D), the use of cardioprotective drugs is scarce. We aimed to evaluate the impact of carotid ultrasonography (US) on the improvement in cardiovascular risk factors (CVRFs) in T1D.

METHODS AND RESULTS

T1D patients without CVD meeting criteria for lipid treatment according to guidelines (age ≥ 40 years, nephropathy and/or ≥ 10 years of diabetes duration with ≥ 1 additional CVRFs) were included. The carotid-US group (US-G) underwent a standardized US protocol and CVRF assessment; recommendations were made according to subclinical atherosclerosis status. The control group (CG) followed usual clinical practice. Changes in CVRFs, specially statin use and LDL cholesterol levels, at 1 year were analysed. A total of 318 patients were included (51.3% female, mean age of 49.1 years and 25.5 years of diabetes duration): 211 in the US-G and 107 in the CG. Participants in the US-G had a higher baseline LDL cholesterol than controls (114 vs. 102 mg/dL; p < 0.001). Lipid-lowering treatment was modified in 38.9% in the US-G and 6.5% in the CG (p < 0.001). At 1 year, the US-G was more frequently on statins, had lower LDL cholesterol and 27% had stopped smoking (p < 0.001 for all). Changes were more pronounced in those with plaques (p < 0.001). In multivariate analyses adjusted for age, sex and other CVRFs, belonging to the US-G was independently associated with the intensification of lipid-lowering treatment (OR 10.47 [4.06-27.01]). Propensity score-matching analysis yielded similar results (OR 20.09 [7.86-51.37]).

CONCLUSION

Carotid-US is independently associated with an intensification of lipid-lowering therapy in a high-risk T1D population.

Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularization

OBJECTIVE

Cardiovascular disease (CVD) is a major healthcare challenge and therefore early risk assessment is vital. Previous assessment techniques use either "conventional CVD risk calculators (CCVRC)" or machine learning (ML) paradigms. These techniques are ad-hoc, unreliable, not fully automated, and have variabilities. We, therefore, introduce AtheroEdge-MCDLAI (AE3.0DL) windows-based platform using multiclass Deep Learning (DL) system.

METHODS

Data was collected on 500 patients having both carotid ultrasound and corresponding coronary angiography scores (CAS), measured as stenosis in coronary arteries and considered as the gold standard. A total of 39 covariates were used, clubbed into three clusters, namely (i) Office-based: age, gender, body mass index, smoker, hypertension, systolic blood pressure, and diastolic blood pressure; (ii) Laboratory-based: Hyperlipidemia, hemoglobin A1c, and estimated glomerular filtration rate; and (iii) Carotid ultrasound image phenotypes: maximum plaque height, total plaque area, and intra-plaque neovascularization. Baseline characteristics for four classes (target labels) having significant (p < 0.0001) values were calculated using Chi-square and ANOVA. For handling the cohort's imbalance in the risk classes, AE3.0DL used the synthetic minority over-sampling technique (SMOTE). AE3.0DL used Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) DL models and the performance (accuracy and area-under-the-curve) was computed using 10-fold cross-validation (90% training, 10% testing) frameworks. AE3.0DL was validated and benchmarked.

RESULTS

The AE3.0DL using RNN and LSTM showed an accuracy and AUC (p < 0.0001) pairs as (95.00% and 0.98), and (95.34% and 0.99), respectively, and showed an improvement of 32.93% and 9.94% against CCVRC and ML, respectively. AE3.0DL runs in <1 s.

CONCLUSION

DL algorithms are a powerful paradigm for coronary artery disease (CAD) risk prediction and CVD risk stratification.

Assessment of the predictive value of carotid color Doppler ultrasound Crouse score combined with hs-CRP in elderly diabetics with cerebral infarction

BACKGROUND

Both the carotid Crouse score and high-sensitivity C-reactive protein (hs-CRP) levels are commonly used to evaluate atherosclerosis and vascular inflammatory response. This study was to investigate the correlation between the Crouse score and high-sensitivity C-reactive protein (hs-CRP) and cerebral infarction (CI) in elderly diabetics.

METHODS

We compared the carotid Crouse scores and hs-CRP levels between 2 groups of diabetic patients with and without CIs (n=100 each) and the relationship between changes in these indices and CI.

RESULTS

Between the four groups (control, diabetic with a large CI, diabetic with a small CI, and diabetic with a lacunar CI) there was a significant difference in the age, sex, Crouse scores and hs-CRP levels, as well as fasting blood glucose and HbA1c (All P<0.05). Logistic regression analysis with CI as the dependent variable showed that the age (OR=1.114, 95% CI: 1.063-1.167, P=0.000), fasting blood glucose (OR=1.260, 95% CI: 1.102-1.570, P=0.039), HbA1c (OR=2.036, 95% CI: 1.348-3.703, P=0.001), Crouse score (OR=2.721, 95% CI: 1.800-4.114, P=0.000) and hs-CRP level (OR=3.364, 95% CI: 2.185-5.180, P=0.000) were risk factors for a CI in combination with diabetes mellitus. Significant differences were found in age, DBP, Crouse scores and hs-CRP levels between the male Diabetic-non-CI subgroup, female Diabetic-non-CI subgroup, male Diabetic-CI subgroup and female Diabetic-CI subgroup (All P<0.05).

CONCLUSION

The carotid Crouse score method has high reliability and reflects the severity of carotid atherosclerosis. The age, sex, FBG, HbA1c, Crouse score, an elevated hs-CRP level, and the occurrence of CI in elderly with diabetes mellitus are closely related. This article is protected by copyright. All rights reserved.

Internal Carotid Artery Angle Variations are Poorly Explained by Vascular Risk Factors: The Northern Manhattan Study

OBJECTIVES

The internal carotid artery (ICA) angle of origin may contribute to atherogenesis by altered hemodynamics. We aim to determine the contribution of vascular risk factors and arterial wall changes to ICA angle variations.

METHODS

We analyzed 1,065 stroke-free participants from the population-based Northern Manhattan Study who underwent B-mode ultrasound (mean age 68.7±8.9 years; 59% women). ICA angle was estimated at the intersection between the common carotid artery and the ICA center line projections. Narrower external angles translating into greater carotid bifurcation bending were considered unfavorable. Linear regression models were fitted to assess the relationship between ICA angle and demographics, vascular risk factors, and arterial wall changes including carotid intima-media thickness (cIMT) and plaque presence.

RESULTS

ICA angles were narrower on the left compared to the right side (153±15.4 degrees versus 161.4±12.7 degrees, p<0.01). Mean cIMT was 0.9±0.1 mm and 54.3% had at least one plaque. ICA angle was not associated with cIMT or plaque presence. Unfavorable left and right ICA angles were associated with advanced age (per 10-year increase β=-1.6; p=0.01, and -1.3; p=0.03, respectively) and being Black participant (β=-4.6; p<0.01 and -2.9; p=0.04, respectively), while unfavorable left ICA angle was associated with being female (β=-2.8; p=0.03) and increased diastolic blood pressure (per 10 mmHg increase β=-2.1; p<0.01). Overall, studied factors explained less than 10% of the variance in ICA angle (left R2=0.07; right R2=0.05).

CONCLUSION

Only a small portion of ICA angle variation were explained by demographics, vascular risk factors and arterial wall changes. Whether ICA angle is determined by other environmental or genetic factors, and is an independent risk factor for atherogenesis, requires further investigation.

Ultrasound during neck rotation to reveal a case of positional occlusion of the internal carotid artery

Positional occlusion of the internal carotid artery is an unusual phenomenon. Reports are scarce in the literature and generally related to compression by external agents when the head is rotated. Cases with no extrinsic etiology are even more uncommon and require high suspicion to avoid misdiagnosis. We present a case of a patient with intermittent internal carotid occlusion depending on the position of the head with no external agent identified. Due to the dynamic characteristics of this presentation, diagnostic tests yielded contradictory results. Carotid ultrasound during neck rotation revealed the positional occlusion. Ultrasound is a versatile technique to explore the carotid arteries in different angles of the neck, useful if positional pathology is suspected.

Intelligent Segmentation of Intima-Media and Plaque Recognition in Carotid Artery Ultrasound Images

Ultrasound imaging has been established as an effective method for measuring the thickness of the intima-media, the thickening of which, along with carotid plaque, is an indicator of cerebrovascular diseases. Here, a 2-D V-Net model that can automatically segment the intima-media in carotid artery ultrasound images is proposed. Moreover, a plaque recognition algorithm that automatically identifies plaque-affected areas is described. Performance tests to determine the average accuracy of the intima-media segmentation yielded the following results (expressed as lumen-intima boundary/media-adventitia boundary): intersection over union (IOU) of 0.752/0.813, pixel accuracy of 0.813/0.885 and Dice loss of 0.858/0.897. Finally, average IOU of 0.785, pixel accuracy of 0.825 and Dice loss of 0.866 were obtained for plaque recognition. These results satisfy the threshold for clinical application and indicate that the proposed model can assist doctors in making more efficient and accurate diagnoses.

A machine learning framework for risk prediction of multi-label cardiovascular events based on focused carotid plaque B-Mode ultrasound: A Canadian study

MOTIVATION

Machine learning (ML) algorithms can provide better cardiovascular event (CVE) prediction. However, ML algorithms are mostly explored for predicting a single CVE at a time. The objective of this study is to design and develop an ML-based system to predict multi-label CVEs, such as (i) coronary artery disease, (ii) acute coronary syndrome, and (iii) a composite CVE-a class of AtheroEdge 3.0 (ML) system.

METHODS

Focused carotid B-mode ultrasound and coronary angiography are performed on a group of 459 participants consisting of three cardiovascular labels. Initially, 23 risk predictors comprising (i) patients' demographics, (ii) clinical blood-biomarkers, and (iii) carotid ultrasound image-based phenotypes are collected. Six types of classification techniques comprising (a) four problem transformation methods (PTM) and (b) two algorithm adaptation methods (AAM) are used for multi-label CVE prediction. The performance of the proposed system is evaluated for accuracy, sensitivity, specificity, F1-score, and area-under-the-curve (AUC) using 10-fold cross-validation. The proposed system is also verified using another database of 522 participants.

RESULTS

For the primary database, PTM demonstrated a better multi-label CVE prediction than AAM (mean accuracy: 80.89% vs. 62.83%, mean AUC: 0.89 vs. 0.63), validating our hypothesis. The PTM-based binary relevance (BR) technique provided optimal performance in multi-label CVE prediction. The overall multi-label classification accuracy, sensitivity, specificity, F1-score, and AUC using BR are 81.2 ± 3.01%, 76.5 ± 8.8%, 83.8 ± 3.8%, 75.37 ± 5.8%, and 0.89 ± 0.02 (p < 0.0001), respectively. When used on the second Canadian database with seven cardiovascular events (acute coronary syndrome, myocardial infarction, angina, stroke, transient ischemic attack, heart failure, and death), the proposed system showed an accuracy of 96.36 ± 0.87% (AUC: 0.61 ± 0.06, p < 0.0001).

CONCLUSION

ML-based multi-label classification algorithms, such as binary relevance, yielded the best predictions for three cardiovascular endpoints.

Effect of Statin Treatment in Patients With Advanced Carotid Atherosclerosis: An Observational Outcome Study

Background

Advanced atherosclerosis of the carotid artery is associated with a high risk of cardiovascular disease. The aim of the study was to investigate whether treatment with statins improved the prognosis.

Methods

Sum of all plaque areas (total plaque area (TPA)) and the maximum plaque thickness were determined in healthy subjects using ultrasound. We compared the outcome in subjects with advanced atherosclerosis of the carotid artery (type III-IV b finding) with and without statin treatment. The follow-up was recorded during follow-up examinations as part of preventive occupational health examinations or by personal communication.

Results

In 7,106 subjects aged 35 - 65 years (50 ± 8 years, 43% women), we found 669 subjects with advanced atherosclerosis of the carotid artery (type III-IV b finding). A follow-up was available for 640 (95.4%) subjects. In these subjects (54 ± 8 years, 20.4% women), 94 (88 men) had cardiovascular events (35 myocardial infarctions, 13 bypass operations, 32 stent implantations, and 14 strokes) with a mean follow-up time of 3.9 (1 - 12) years. Two hundred sixty subjects were treated with a statin, while 339 received no statin. Fourteen cardiovascular events occurred in the treated group (eight stent implantations, two heart attacks, two bypass operations, and two strokes). In the untreated group, 80 cardiovascular events occurred (12 strokes, 11 bypass operations, 33 heart attacks, and 24 stent implantations). The event rate was 5.4% for the subjects treated with a statin and 23.6% for the untreated subjects. Both groups were well matched for the baseline presence of cardiovascular risk factors.

Conclusion

Statin treatment in subjects with advanced atherosclerosis of the carotid artery (type III-IV b finding on ultrasound) significantly improves the prognosis in a non-randomized observational cohort study.

Cardiovascular risk reclassification according to six cardiovascular risk algorithms and carotid ultrasound in psoriatic arthritis patients

The objective was to compare the prevalence of subclinical atherosclerosis and cardiovascular risk (CVR) reclassification using six CVR algorithms and a carotid ultrasound in psoriatic arthritis (PsA) patients and controls. The method was cross-sectional study. A total of 81 patients aged 40-75 years, who fulfilled the 2006 CASPAR criteria and 81 controls matched by age, gender, and comorbidities were recruited. CVR was evaluated according to six CVR algorithms, including Framingham Risk Score (FRS)-lipids, FRS-body mass index (BMI), Atherosclerotic Cardiovascular Disease (ASCVD) Algorithm, Systematic Coronary Risk Evaluation (SCORE), QRISK3, and Reynolds Risk Score (RRS). A carotid ultrasound was performed to identify the presence of carotid plaque (CP) defined as a carotid intima media thickness ≥ 1.2 mm or a focal narrowing of the surrounding lumen ≥ 0.5mm. Patients with presence of CP, classified in the low-moderate risk by the CVR algorithms, were reclassified to a higher risk category. CP was more prevalent in PsA patients (44.4% vs 24.7%, p = 0.008), as was subclinical atherosclerosis (51.9% vs 33.3%, p = 0.017). When comparing the CVR reclassification to a higher risk category, a difference was found in the six CVR algorithms. The reclassification was more prevalent in PsA patients: 30.8% vs 12.3%, p = 0.004 with FRS-lipids; 28.4% vs 9.9%, p = 0.003 with FRS-BMI; 40.7% vs 19.8%, p = 0.003 with SCORE; 30.9% vs 16.0%, p = 0.026 with ASCVD algorithm; 37.0% vs 19.8%, p = 0.015 with RRS; and 33.3% vs 16.0%, p = 0.011 with QRISK3. The CVR algorithms underestimate the actual CVR of PsA patients. A carotid ultrasound should be considered as part of the CVR evaluation of PsA patients. KEY POINTS: • Subclinical atherosclerosis was more prevalent in psoriatic arthritis patients than controls. • Cardiovascular risk reclassification, through a carotid ultrasound, according to traditional cardiovascular risk algorithms was more common in psoriatic arthritis patients. • The cardiovascular risk algorithm that showed the lowest reclassification rate in psoriatic arthritis patients was the FRS-BMI. • All cardiovascular risk algorithms underestimate the actual risk of psoriatic arthritis patients, preventing the initiation of an adequate cardiovascular treatment.

Association of traditional risk factors with carotid intima-media thickness and carotid plaque in asymptomatic individuals with a family history of premature cardiovascular disease

The use of imaging to detect subclinical atherosclerosis helps to inform decision-making in people classified as having intermediate risk for cardiovascular disease (CVD). This study sought to use carotid plaque as an alternative to carotid intima media thickness (cIMT). Carotid ultrasound for assessment of cIMT and plaque was obtained in 1031 people (53 years, 61% female) with a family history of atherosclerotic CVD. The association of baseline characteristics and standard atherosclerotic risk factors (RFs) were sought with abnormal cIMT and plaque. The strongest association of plaque was a history of hypertension (odds ratio [OR] 1.87 (1.02-3.42), followed by age (OR 1.08 [95% CI 1.02-1.13]). For cIMT, the strongest association was smoking history (OR 1.57 [1.13-2.19]). The area under the receiver operator curve for the presence of plaque was 0.74 (95% CI 0.68-0.81, p < 0.001) and 0.65 (95% CI 0.61-0.70, p < 0.001) for cIMT elevation. Isolated elevation of cIMT (n = 178) was associated with increased total cholesterol, body mass index (BMI) and systolic blood pressure (SBP). Plaque only (n = 29) was associated with hypertension, male sex and older age. The presence of both markers abnormal (n = 22) was associated with a history of smoking. The absence of either abnormal cIMT or plaque (n = 773), was inversely associated with current or past smoking, SBP and BMI. Abnormalities in carotid vessels are present in a minority of intermediate risk patients with familial premature disease. The associations with RFs differ and are more closely associated with plaque.

The beneficial effect over 3 years by pictorial information to patients and their physician about subclinical atherosclerosis and cardiovascular risk: Results from the VIPVIZA randomized clinical trial

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VIPVIZA is a pragmatic randomized controlled trial performed within the regular primary health care and targeting both individuals and physicians.

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Beneficial effects on risk for cardiovascular disease regardless of sex and education level 3 years after providing pictorial information of subclinical atherosclerosis in addition to regular preventive information.

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The results indicate that the intervention effect is a combined effect of pharmacological treatment and lifestyle modification.

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The intervention effect was observed in the intermediate risk group, the group where most CVD events occur and in which sufficient prevention is often overlooked.

Objective

Non-adherence to guidelines and preventive measures is a major challenge, particularly so to obtain long-term adherence to lifestyle changes and recommended medication. The objective was to investigate if pictorial information regarding subclinical carotid atherosclerosis provided to individuals and physicians gave sustained effects on cardiovascular risk beyond the previously reported effect after 1 year and up to 3 years.

Methods

A Prospective Randomized Open Blinded End-point (PROBE) trial. Within a CVD prevention program in Västerbotten County, Sweden, 3532 healthy individuals aged 40, 50 or 60 years were enrolled and 1:1 randomized to intervention (n = 1749; pictorial information with additional prevention materials to participants and physicians) or control group (n = 1783; no pictorial information to participants and physicians). Preventive measures were managed within primary care. Participants were investigated at baseline during 2013–2016 and at follow-up after 1 and 3 years.

Results

A beneficial effect on cardiovascular risk was observed at 3-year follow-up; Framingham Risk Score (FRS) was 13.38 for the intervention group and 14.08 for the control group (p = 0.047) and SCORE was 1.69 vs. 1.82 (p = 0.022). The effect observed at 1-year was sustained over 3 years after adjustment for sex and education and more pronounced among participants with a severe atherosclerotic picture at baseline.

Conclusions

This study provides evidence of sustained beneficial effects on the adherence to prevention guidelines over 3 years of pictorial information about subclinical carotid atherosclerosis, resulting in lower cardiovascular risk regardless of sex and educational level. Direct visualization of the underlying still subclinical atherosclerotic disease, rather than just indirect information about risk factors and statistical risk of future myocardial infarction, stroke and death, is one way to tackle the problem of non-adherence to prevention of cardiovascular diseases.

Deep Learning-Based Carotid Plaque Segmentation from B-Mode Ultrasound Images

Carotid ultrasound measurement of total plaque area (TPA) provides a method for quantifying carotid plaque burden and monitoring changes in carotid atherosclerosis in response to medical treatment. Plaque boundary segmentation is required to generate the TPA measurement; however, training of observers and manual delineation are time consuming. Thus, our objective was to develop an automated plaque segmentation method to generate TPA from longitudinal carotid ultrasound images. In this study, a deep learning-based method, modified U-Net, was used to train the segmentation model and generate TPA measurement. A total of 510 plaques from 144 patients were used in our study, where the Monte Carlo cross-validation was used by randomly splitting the data set into 2/3 and 1/3 for training and testing. Two observers were trained to manually delineate the 510 plaques separately, which were used as the ground-truth references. Two U-Net models (M1 and M2) were trained using the two different ground-truth data sets from the two observers to evaluate the accuracy, variability and sensitivity on the ground-truth data sets used for training our method. The results of the algorithm segmentations of the two models yielded strong agreement with the two manual segmentations with the Pearson correlation coefficient r = 0.989 (p < 0.0001) and r = 0.987 (p < 0.0001). Comparison of the U-Net and manual segmentations resulted in mean TPA differences of 0.05 ± 7.13 mm² (95% confidence interval: 14.02-13.02 mm²) and 0.8 ± 8.7 mm² (17.85-16.25 mm²) for the two models, which are small compared with the TPA range in our data set from 4.7 to 312.8 mm². Furthermore, the mean time to segment a plaque was only 8.3 ± 3.1 ms. The presented deep learning-based method described has sufficient accuracy with a short computation time and exhibits high agreement between the algorithm and manual TPA measurements, suggesting that the method could be used to measure TPA and to monitor the progression and regression of carotid atherosclerosis.

Assessing Ischemic Stroke with Convolutional Image Features in Carotid Color Doppler

Stroke is a leading cause of disability and death worldwide. Early and accurate recognition of acute stroke is critical for achieving a good prognosis. The novel automated system proposed in this study was based on convolutional neural networks (CNNs), which were used to identify lesion findings on carotid color Doppler (CCD) images in patients with acute ischemic stroke. An image database composed of 1032 CCD images from 106 patients with acute ischemic stroke (549 images) and from 79 normal controls (483 images) was retrospectively analyzed. Taking the consensus of two neuroradiologists as the gold standard, different CNN models with and without transfer learning were evaluated with 10-fold cross-validation. The diagnostic information provided from individual color channels was also explored. AlexNet, which was trained from scratch, achieved an accuracy of 91.67%, a sensitivity of 93.33%, a specificity of 90.20% and an area under the receiver operating characteristic curves (AUC) of 0.9432. Other transferred models achieved accuracies between 77.69% and 83.94%. In channel comparisons, the green channel had the best performance, with an accuracy of 87.50%, a sensitivity of 97.78%, a specificity of 78.43% and an AUC of 0.9507. The proposed CNN architecture, as a computer-aided diagnosis system, suggests using automatic feature extraction from CCD images to predict ischemic stroke. The developed scheme has the potential to provide diagnostic suggestions in clinical use.

A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework

Cardiovascular diseases (CVDs) are the top ten leading causes of death worldwide. Atherosclerosis disease in the arteries is the main cause of the CVD, leading to myocardial infarction and stroke. The two primary image-based phenotypes used for monitoring the atherosclerosis burden is carotid intima-media thickness (cIMT) and plaque area (PA). Earlier segmentation and measurement methods were based on ad hoc conventional and semi-automated digital imaging solutions, which are unreliable, tedious, slow, and not robust. This study reviews the modern and automated methods such as artificial intelligence (AI)-based. Machine learning (ML) and deep learning (DL) can provide automated techniques in the detection and measurement of cIMT and PA from carotid vascular images. Both ML and DL techniques are examples of supervised learning, i.e., learn from "ground truth" images and transformation of test images that are not part of the training. This review summarizes (1) the evolution and impact of the fast-changing AI technology on cIMT/PA measurement, (2) the mathematical representations of ML/DL methods, and (3) segmentation approaches for cIMT/PA regions in carotid scans based for (a) region-of-interest detection and (b) lumen-intima and media-adventitia interface detection using ML/DL frameworks. AI-based methods for cIMT/PA segmentation have emerged for CVD/stroke risk monitoring and may expand to the recommended parameters for atherosclerosis assessment by carotid ultrasound.

Association of Carotid Artery Plaque With Cardiovascular Events and Incident Coronary Artery Calcium in Individuals With Absent Coronary Calcification: The MESA

BACKGROUND

Absence of coronary artery calcium (CAC) identifies asymptomatic individuals at low cardiovascular disease risk. Carotid artery plaque is a marker of increased risk, but its association with cardiovascular risk and incident CAC in people without CAC is unclear.

METHODS

Multi-Ethnic Study of Atherosclerosis participants with CAC score of 0 at enrollment who also underwent carotid plaque measurement using B-mode ultrasonography were prospectively followed for incident coronary heart disease, stroke, and cardiovascular disease events, and CAC (score >0 on up to 3 serial computed tomography scans). The association of carotid plaque presence and plaque score (Ln[score+1]) at baseline with cardiovascular events and incident CAC was evaluated with Cox proportional hazards regression models adjusted for demographics, risk factors, and statin use.

RESULTS

Among these 2673 participants (58 years, 64% women, 34% White, 30% Black, 24% Hispanic, and 12% Chinese), carotid plaque at baseline was observed in 973 (36%) and the median plaque score (range, 1-12) among those with plaque was 1. A total of 79 coronary heart disease, 80 stroke, and 151 cardiovascular disease events were observed during 16.1 years of follow-up. Carotid plaque presence and plaque score were independently associated with coronary heart disease risk (HRs, 1.66 [95% CI, 1.04-2.66]; and 1.48 [95% CI, 1.01-2.17], respectively) but not with stroke and cardiovascular disease risk. A total of 973 (36.4%) participants developed CAC over the evaluation period (median 9.3 years). Carotid plaque presence and plaque score were independently associated with incident CAC (HRs, 1.34 [95% CI, 1.18-1.54]; and 1.37 [95% CI, 1.21-1.54]), respectively.

CONCLUSIONS

The presence and extent of carotid plaque are associated with long-term coronary heart disease risk and incident CAC among middle-aged asymptomatic individuals with an initial CAC score of 0.

Using Ultrasound and Inflammation to Improve Prediction of Ischemic Stroke: A Secondary Analysis of the Multi-Ethnic Study of Atherosclerosis

INTRODUCTION

Current ischemic stroke risk prediction is primarily based on clinical factors, rather than imaging or laboratory markers. We examined the relationship between baseline ultrasound and inflammation measurements and subsequent primary ischemic stroke risk.

METHODS

In this secondary analysis of the Multi-Ethnic Study of Atherosclerosis (MESA), the primary outcome is the incident ischemic stroke during follow-up. The predictor variables are 9 carotid ultrasound-derived measurements and 6 serum inflammation measurements from the baseline study visit. We fit Cox regression models to the outcome of ischemic stroke. The baseline model included patient age, hypertension, diabetes, total cholesterol, smoking, and systolic blood pressure. Goodness-of-fit statistics were assessed to compare the baseline model to a model with ultrasound and inflammation predictor variables that remained significant when added to the baseline model.

RESULTS

We included 5,918 participants. The primary outcome of ischemic stroke was seen in 105 patients with a mean follow-up time of 7.7 years. In the Cox models, we found that carotid distensibility (CD), carotid stenosis (CS), and serum interleukin-6 (IL-6) were associated with incident stroke. Adding tertiles of CD, IL-6, and categories of CS to a baseline model that included traditional clinical vascular risk factors resulted in a better model fit than traditional risk factors alone as indicated by goodness-of-fit statistics.

CONCLUSIONS

In a multiethnic cohort of patients without cerebrovascular disease at baseline, we found that CD, CS, and IL-6 helped predict the occurrence of primary ischemic stroke. Future research could evaluate if these basic ultrasound and serum measurements have implications for primary prevention efforts or clinical trial inclusion criteria.

Ultrasound-Based Carotid Plaque Characteristics Help Predict New Cerebral Ischemic Lesions after Endarterectomy

The aim of this study was to identify the ultrasound-based carotid plaque characteristics associated with new cerebral ischemic lesions after carotid endarterectomy (CEA). Between January 2013 and December 2018, carotid duplex ultrasound was performed in 1061 patients who underwent CEA. Brain magnetic resonance diffusion-weighted imaging (DWI) was performed pre-operatively and within 30 d after CEA. New cerebral ischemic lesions on DWI were observed in 169 patients. The cutoff value gray-scale median (GSM) used to distinguish DWI-positive from DWI-negative patients was 30.5, with an area under the receiver operating characteristic curve of 0.837. A larger proportion of multiple DWI lesions were observed in the GSM ≤30.5 group (59.5% vs. 41.5%, p = 0.030). Univariate and multivariate analyses identified GSM ≤30.5, ulcerated carotid plaques and pre-operative ischemic symptoms as predictors of post-operative cerebral DWI lesions. Our results indicate that ultrasound-based carotid plaque characteristics help predict new cerebral ischemic lesions after CEA.

Echolucency of carotid plaque is useful for selecting high-risk patients with chronic coronary artery disease who benefit from intensive lipid-lowering therapy

BACKGROUND

Ultrasound assessment of the carotid artery provides prognostic information on coronary events. This study examined whether ultrasound assessments of plaque echolucency of the carotid artery are useful for identifying patients with coronary artery disease (CAD) who are at high risk but could benefit from lipid-lowering therapy for secondary prevention.

METHODS

Ultrasound assessment of carotid plaque echolucency with integrated backscatter (IBS) analysis was performed in 393 chronic CAD patients with low-density lipoprotein cholesterol (LDL-C) levels <100 mg/dL on statin therapy. All patients were prospectively followed up for a maximum of 96 months or until the occurrence of one of the following coronary events: cardiac death, nonfatal myocardial infarction, or unstable angina pectoris requiring unplanned revascularization.

RESULTS

During the follow-up period, 45 coronary events occurred. Patients were stratified by IBS (≤-16.3 or >-16.3 dB, median value) and LDL-C level (<70 or 70-99 mg/dL). Multivariate Cox proportional hazards analysis showed that patients with lower IBS and LDL-C 70-99 mg/dL had significantly higher probabilities of coronary events compared with those with higher IBS and LDL-C <70 mg/dL, after adjustment for a baseline model of risk factors (hazard ratio 5.15; 95% confidence interval 1.21-22.0, p = 0.03). In contrast, patients with lower IBS and LDL-C <70 mg/dL had an improved prognosis comparable with those with higher IBS. Addition of LDL-C levels to the baseline model of risk factors improved net reclassification improvement (NRI) and integrated discrimination improvement (IDI) in patients with lower IBS (NRI, 0.44, p = 0.04; and IDI, 0.035, p < 0.01), but not in those with higher IBS.

CONCLUSIONS

Evaluation of echolucency of the carotid artery was useful for selecting CAD patients at high risk of secondary coronary events but who could benefit from lipid-lowering therapy.

Assessing the validity of two-dimensional carotid ultrasound to detect the presence and absence of a pulse

BACKGROUND

Traditional assessment of return of cardiac output in cardiac arrest by manual palpation has poor accuracy. Point of care ultrasound of a major artery has been suggested as an alternative. We conducted a diagnostic accuracy study of two-dimensional carotid ultrasound to detect the presence or absence of a pulse, using cardiopulmonary bypass patients for pulse and pulseless states.

METHODS

A cross-sectional multi-patient, multi-reader repeated measures diagnostic study was conducted. For patients undergoing routine cardiopulmonary bypass, a portable ultrasound was used to record four 10-s videos the common carotid artery, three aimed for a pulse in high (>90 mmHg), medium (70-90 mmHg) and low (<70 mmHg) systolic blood pressure (SBP) ranges, and a pulseless video was recorded on cardiopulmonary bypass. Critical care physicians viewed the videos and were asked to nominate within 10 s if a pulse was present. True pulse-status was determined via the arterial-line waveform.

RESULTS

Twenty-three patients had all four videos collected. Median patient age was 64 (IQR 14), sixteen were male (70%) and median BMI was 27. The median SBP in high-, medium- and low-SBP groups were 120 mmHg, 83 mmHg and 69 mmHg respectively. Forty-six physicians reviewed a subset of 24 videos. Overall sensitivity was 0.91 (95% confidence interval 0.89-0.93) and specificity 0.90 (95% CI 0.86-0.93). Sensitivity was highest in the high-SBP group (0.96, 95% CI 0.93-0.98) and lowest in the low-SBP group (0.83, 95% CI 0.78-0.87).

CONCLUSION

2D ultrasound of the common carotid artery is both sensitive and specific for detection of the presence or absence of a pulse.

Blood Flow Visualization and Wall Shear Stress Measurement of Carotid Arteries Using Vascular Vector Flow Mapping

Carotid artery ultrasound is extensively used to assess early- and late-stage atherosclerosis via the intima-media thickness and increased blood flow velocity caused by stenosis, respectively. However, the effect of wall shear stress (WSS) has not been considered to date. This study aimed to visualize the blood flow of carotid arteries and measured WSS using vector flow mapping (VFM) developed specifically for vascular use. Patients with cerebrovascular diseases were prospectively enrolled and examined with carotid ultrasound using VFM Vascular. WSS was calculated in the common carotid artery and internal carotid artery. Blood flow in 82 common carotid arteries was visualized with VFM Vascular. The maximum and mean WSSs were negatively correlated with age and intima-media thickness. The WSS in 16 internal carotid artery plaques was significantly higher upstream of the plaque than downstream. Therefore, VFM Vascular is a promising method that provides a novel indicator of atherosclerosis.

Change in Carotid Blood Flow and Carotid Corrected Flow Time Assessed by Novice Sonologists Fails to Determine Fluid Responsiveness in Spontaneously Breathing Intensive Care Unit Patients

Measurement of carotid blood flow (CBF) and corrected carotid flow time (ccFT) has been proposed as a non-invasive means of determining fluid responsiveness. We evaluated the ability of CBF and ccFT as assessed by novice sonologists to determine fluid responsiveness in intensive care unit patients. Three novice physician sonologists performed carotid ultrasounds before and after a fluid bolus and calculated changes in CBF and ccFT. Fluid responsiveness was defined as a ≥10% increase in cardiac index as measured using bioreactance. Of 112 participants, 56 (50%) were fluid responders. Changes in CBF and ccFT performed poorly at determining fluid responsiveness: 19 mL/min (area under the receiver operating characteristic curve: 0.58, 95% confidence interval: 0.47-0.68) and 6 ms (0.59, 0.46-0.65) respectively. Novice physician sonologists are unable to determine fluid responsiveness using CBF or ccFT. Further research is needed to identify the key limiting factors in using carotid ultrasound to determine fluid responsiveness.

Carotid intima-media thickness and metabolic syndrome in a rural population: Results from the Baependi Heart Study

Background and aims

Carotid intima-media thickness (cIMT) is a strong predictor of cardiovascular events and associated with metabolic syndrome (MetS). MetS is a cluster of cardiovascular risk factors, but the association structure between specific factors and disease development is not well-established in rural populations. We described the association structure between MetS factors and cIMT in a sample from rural Brazil.

Methods

We studied 1937 participants from the Baependi Heart Study who underwent carotid ultrasound exam. We used ATP–III–2001 for MetS definition and linear mixed-effects models, adjusting by the family structure, to assess independent associations between the cardiovascular risk factors which define MetS and cIMT.

Results

The sample's mean age was 46 ± 16y, 61% female, 73% white, mean body-mass-index 26±5 kg/m², mean cIMT 0.53 ± 0.16 mm, with 35% of the sample classified with MetS. As expected, cIMT demonstrated a linear relationship with increasing age, and cIMT higher values were observed for MetS (0.58 ± 0.16 mm) compared to non-MetS (0.49 ± 0.14 mm). Considering models for cIMT with MetS and all of its factors, we found that blood pressure, glucose and obesity were independently associated with cIMT, but not HDL or triglycerides.

Conclusions

cIMT showed a linear relationship with increasing age. Blood pressure, obesity, and glucose were independently associated with cIMT, but not HDL-cholesterol or triglycerides. In a rural population, hypertension, diabetes and obesity play a more important role than lipids in determining cIMT interindividual variability.

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Metabolic Syndrome (MetS) is independently associated with cIMT in a rural sample.

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Age showed a linear relationship with cIMT.

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Blood pressure, glucose, and obesity measurements are independently associated with cIMT, but not cholesterol fractions.

Prediction and early detection of cardiovascular disease in South Asians with diabetes mellitus

BACKGROUND

Although diabetes mellitus (DM) is no longer considered "coronary heart disease risk equivalent", the risk remains sufficiently high, necessitating early recognition and management of cardiovascular disease (CVD) in these patients. Despite this understanding, the optimum strategy for prediction and early detection of CVD in DM remains debatable.

METHODS

Major societal guidelines for prediction and evaluation of CVD in subjects with or without DM were reviewed. Available evidence about various risk stratification strategies-their advantages, disadvantages and current role in clinical practice-were extensively reviewed. Special emphasis was placed on evidence from South Asian/Indian populations.

RESULTS

The inconsistency and variability inherent to the clinical risk algorithms, lack of consensus regarding the incremental value of subclinical atherosclerosis imaging and the lack of sufficient data to demonstrate the benefits of recognizing asymptomatic atherosclerotic disease are some of the reasons underlying prevailing uncertainty about the optimum approach for cardiovascular risk assessment in DM. These challenges notwithstanding, an evidence-based cardiovascular risk stratification strategy incorporating clinical risk algorithms, biomarkers, atherosclerosis imaging, and cardiac stress testing is proposed.

CONCLUSIONS

The proposed algorithm should help clinicians in optimizing cardiovascular evaluation and management of their patients with DM. However, this remains a dynamic field; further research into different risk assessment tools, esp. focusing on their impact on improving clinical outcomes, should help refine the evaluation strategy in future.

The Determination of the Plaque Burden on the Carotid Artery With Ultrasound Significantly Improves the Risk Prediction in Middle-Aged Subjects Compared to PROCAM: An Outcome Study

Background

There are only few data about the predictive value of atherosclerosis imaging beyond traditional risk calculators in younger subjects.

Methods

We assessed cardiovascular risk prediction with the PROCAM (the Prospective Cardiovascular Munster Study) risk equation and with carotid plaque imaging (determination of total plaque area (TPA) and the maximum plaque thickness with ultrasound) in subjects without known cardiovascular diseases. The follow-up was generated during follow-up examinations as part of preventive medical examinations or by telephone calls.

Results

In 2,508 subjects aged 35 - 64 years (50 ± 8 years, 34% women), 132 (5.3%) cardiovascular events occurred (42 myocardial infarction, 17 bypass surgery, 31 stent implantation, 42 coronary artery disease defined by invasive angiography) during a mean follow-up period of 5.4 (1 - 12) years. TPA in combination with the maximum plaque thickness (type III - IV b plaques ) tended to be superior compared to TPA, and both plaque imaging methods were superior to PROCAM: area under the curve (AUC) 0.9 (95% confidence interval (CI): 0.91 - 0.89) vs. 0.89 (95% CI: 0.90 - 0.88), P = 0.2 vs. 0.82 (95% CI: 0.84 - 0.81), P = 0.001; positive predictive value (PPV) 27% (95% CI: 0.31 - 0.22) vs. 19% (95% CI: 0.22 - 0.16) vs.19% (95% CI: 0.27 - 0.13).

Conclusions

Amount of carotid plaque assessed by carotid plaque imaging significantly improves cardiovascular risk prediction beyond the PROCAM risk equation.

Abnormally increased carotid intima media-thickness and elasticity in patients with Morquio A disease

Background

Cardiovascular disease frequently causes morbidity and mortality in mucopolysaccharidoses (MPS); however, cardiovascular anatomy and dysfunction in MPS IVA (Morquio A disease) is not well described. Consequently, the study aimed to compare carotid artery structure and elasticity of MPS IVA patients with other MPS patients and healthy control subjects, and quantitate frequency of MPS IVA cardiac structural and functional abnormalities.

Methods

Prospective, multi-center echocardiogram and carotid ultrasound evaluations of 12 Morquio A patients were compared with other MPS and healthy control subjects. Average differences between groups were adjusted for age, sex, and height with robust variance estimation for confidence intervals and P-values.

Results

Morquio A patients demonstrated significantly higher (P < 0.001) adjusted carotid intima-media thickness (cIMT), mean (SD) of 0.56 mm (0.03) compared to control subjects, 0.44 mm (0.04). The Morquio A cohort had significantly greater adjusted carotid elasticity (carotid cross-sectional compliance + 43%, P < 0.001; carotid incremental elastic modulus − 33%, P = 0.003) than control subjects and other MPS patients. Aortic root dilatation was noted in 56% of the Morquio A cohort, which also had highly prevalent mitral (73%) and aortic (82%) valve thickening, though hemodynamically significant valve dysfunction was less frequent (9%).

Conclusions

Increased carotid elasticity in Morquio A patients is an unexpected contrast to the reduced elasticity observed in other MPS. These Morquio A cIMT findings corroborate MPS IVA arterial post-mortem reports and are consistent with cIMT of other MPS. Aortic root dilatation in Morquio A indicates arterial elastin dysfunction, but their carotid hyperelasticity indicates other vascular intima/media components, such as proteoglycans, may also influence artery function. Studying MPS I and IVA model systems may uniquely illuminate the function of glycosaminoglycan-bearing proteoglycans in arterial health.

[Meaningful diagnostics: imaging]

Imaging of subclinical atherosclerosis is an integrated component of a preventive medicine algorithm; i.e. on the basis of a cardiovascular risk stratification patients with a low and intermediate risk qualify for further imaging (cave: Bayes' theorem). Imaging procedures for subclinical atherosclerosis have one thing in common: atherosclerosis is detected and localized directly, for which cardiac multidetector computed tomography (MDCT; coronary calcium scoring, CACS) and vascular ultrasound (carotid and/or femoral arteries) are used to measure the plaque burden. The result is viewed as a risk modifier. The risk assessment is not related to symptoms. In addition to the detection and localization of atherosclerosis this also enables assessment of the "risk age" according to the tables of the European Society of Cardiology (ESC) and even the biological age, which can be estimated based on nomograms. This knowledge can be used to promote patient compliance and adherence to medication.

Autodetect extracranial and intracranial artery stenosis by machine learning using ultrasound

BACKGROUND

and Purpose: This study proposed a machine learning method for identifying ≥50% stenosis of the extracranial and intracranial arteries.

PATIENTS AND METHODS

A total of 8211 patients with both carotid ultrasound and cerebral angiography were enrolled. Support vector machine (SVM) was employed as the machine learning classifier. Carotid Doppler parameters and transcranial Doppler parameters were used as the input features. Feature selection was performed using the Extra-Trees (extremely randomized trees) method.

RESULTS

For the machine learning method, the sensitivities and specificities of identifying stenosis of the extracranial arteries were 88.5%-100% and 96.0%-100%, respectively. The sensitivities and specificities of identifying stenosis of the intracranial arteries were 71.7%-100% and 88.9%-100%, respectively.

CONCLUSIONS

The SVM classifier with feature selection is an efficient method for identifying the stenosis of both intracranial and extracranial arteries. Comparing with traditional Doppler criteria, this machine learning method achieves up to 20% higher in accuracy and 45% in sensitivity, respectively.

Genome-wide linkage analysis of carotid artery traits in exceptionally long-lived families

BACKGROUND AND AIMS

Atherosclerosis develops with age and is partially controlled by genetics. Research to date has identified common variants with small effects on atherosclerosis related traits. We aimed to use family-based genome-wide linkage analysis to identify chromosomal regions potentially harboring rare variants with larger effects for atherosclerosis related traits.

METHODS

Participants included 2205 individuals from the Long Life Family Study (LLFS), which recruited families with exceptional longevity from Boston, New York, Pittsburgh, and Denmark. Participants underwent B-mode ultrasonography of the carotid arteries to measure intima-media thickness (IMT), inter-adventitial diameter (IAD), and plaque presence and severity. We conducted residual heritability and genome-wide linkage analyses adjusted for age, age², sex, and field center using pedigree-based maximum-likelihood methods in SOLAR.

RESULTS

All carotid traits were significantly heritable with a range of 0.68 for IAD to 0.38 for IMT. We identified three chromosomal regions with linkage to IAD (3q13; max LOD 5.3), plaque severity (17q22-q23, max LOD 3.2), and plaque presence (17q24, max LOD 3.1). No common allelic variants within these linkage peaks were associated with the carotid artery traits.

CONCLUSIONS

We identified three chromosomal regions with evidence of linkage to carotid artery diameter and atherosclerotic plaque in exceptionally long-lived families. Since common allelic variants within our linkage peaks did not account for our findings, future follow-up resequencing of these regions in LLFS families should help advance our understanding of atherosclerosis, CVD, and healthy vascular aging.

Carotid artery plaque detected on ultrasound is associated with impaired cognitive state in the elderly: A population-based study in Wakiso district, Uganda

Carotid artery disease which includes carotid artery stenosis, plaques, clots and increased intima media thickness, have been reported by many studies to be associated with dementia. Dementia is an end stage of usually asymptomatic cognitive impairment. Risk factors of carotid artery disease include; age, atherosclerosis, arteriosclerosis, shorter years in school, history of hypertension, diabetes mellitus, stroke and depression. This study set out to determine the prevalence of abnormal carotid ultrasound findings and their association with cognitive function among the adults ≥60 years in Wakiso district, Uganda in 2018. A total of 210 participants were included. Carotid artery stenosis, presence of plaque, stenosis and intima-media thickness were assessed by ultrasound. Cognitive status was assessed using a Mini Mental State Exam (MMSE) test. The prevalence of plaque was 21.4%. Variables which included; presence of plaque, age, education, gender, marital status, whether participant stayed alone or with someone else, care for self, occupation status, division of staying and history of smoking. The presence of plaque was associated with an abnormal cognitive function at both univariate and multivariate analysis with respective OR = 3.8 (95% CI = 1.90-7.54, p-value = 0.0001) and OR = 3.4 (95% CI = 1.38-8.15, p-value = 0.007). The cognitive function distribution was 43.8%, 19%, 34.3% and 2.9% within the normal, mild, moderate, and severe cognitive function status respectively. This study showed that prevalence of carotid artery plaque was high in this elderly population in Wakiso district Uganda. Also, carotid artery plaque was associated with abnormal cognitive function.

Clinical utility of carotid ultrasonography: Application for the management of patients with diabetes

Carotid ultrasonography is a non-invasive, simple and inexpensive modality to assess the severity of atherosclerosis. This article reviews related articles, summarizes the rationale for the application of carotid ultrasonography in clinical practice, and addresses the features and the limitations of carotid ultrasonography in cardiovascular risk prediction. Numerous large studies have confirmed that various carotid ultrasound measures, such as carotid intima-media thickness, the presence or absence of carotid plaque, plaque number and plaque area, can be independent predictors of cardiovascular diseases in individuals with and without diabetes mellitus. Furthermore, many studies showed that the use of carotid intima-media thickness (especially maximum intima-media thickness, including plaque thickness) and/or carotid plaque in addition to traditional risk factors significantly improved the prediction of the occurrence of cardiovascular diseases, while controversy remains. Several studies showed that the progression of carotid intima-media thickness also can be a surrogate end-point of cardiovascular events. However, the accumulated evidence has not been sufficient. Further study with sufficient power should be carried out. As plaque disruption, which plays a crucial role in the pathogenesis of cardiovascular events, is dependent on the content of lipid in the atheroma and the thickness of the fibrous cap, tissue characterization of a plaque might be useful for determining its fragility. Interestingly, recent studies have shown that ultrasonic tissue characterization of carotid lesions could improve the prediction ability of future cardiovascular diseases. Thus, carotid ultrasonography is a useful modality for better clinical practice of atherosclerosis in patients with diabetes.

Segment-specific association of carotid-intima-media thickness with cardiovascular risk factors - findings from the STAAB cohort study

Background

The guideline recommendation to not measure carotid intima-media thickness (CIMT) for cardiovascular risk prediction is based on the assessment of just one single carotid segment. We evaluated whether there is a segment-specific association between different measurement locations of CIMT and cardiovascular risk factors.

Methods

Subjects from the population-based STAAB cohort study comprising subjects aged 30 to 79 years of the general population from Würzburg, Germany, were investigated. CIMT was measured on the far wall of both sides in three different predefined locations: common carotid artery (CCA), bulb, and internal carotid artery (ICA). Diabetes, dyslipidemia, hypertension, smoking, and obesity were considered as risk factors. In multivariable logistic regression analysis, odds ratios of risk factors per location were estimated for the endpoint of individual age- and sex-adjusted 75th percentile of CIMT.

Results

2492 subjects were included in the analysis. Segment-specific CIMT was highest in the bulb, followed by CCA, and lowest in the ICA. Dyslipidemia, hypertension, and smoking were associated with CIMT, but not diabetes and obesity. We observed no relevant segment-specific association between the three different locations and risk factors, except for a possible interaction between smoking and ICA.

Conclusions

As no segment-specific association between cardiovascular risk factors and CIMT became evident, one simple measurement of one location may suffice to assess the cardiovascular risk of an individual.

Carotid Ultrasound

Doppler ultrasound (US) is the primary noninvasive imaging modality for detecting, grading, and monitoring extracranial internal carotid artery (ICA) stenosis, which is a well-established surrogate marker for stroke risk. In addition, Doppler US is the primary imaging modality for surveillance of patients following carotid intervention with endarterectomy or stent placement. This article reviews the pathophysiology and epidemiology of stroke, technique for performing a carotid US examination, normal findings, and diagnostic US criteria for evaluating carotid plaque, grading stenosis in the native ICA and following intervention, as well as waveform analysis of the carotid arteries.

Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning-Based Tissue Characterization

PURPOSE OF THE REVIEW

Rheumatoid arthritis (RA) is a chronic, autoimmune disease which may result in a higher risk of cardiovascular (CV) events and stroke. Tissue characterization and risk stratification of patients with rheumatoid arthritis are a challenging problem. Risk stratification of RA patients using traditional risk factor-based calculators either underestimates or overestimates the CV risk. Advancements in medical imaging have facilitated early and accurate CV risk stratification compared to conventional cardiovascular risk calculators.

RECENT FINDING

In recent years, a link between carotid atherosclerosis and rheumatoid arthritis has been widely discussed by multiple studies. Imaging the carotid artery using 2-D ultrasound is a noninvasive, economic, and efficient imaging approach that provides an atherosclerotic plaque tissue-specific image. Such images can help to morphologically characterize the plaque type and accurately measure vital phenotypes such as media wall thickness and wall variability. Intelligence-based paradigms such as machine learning- and deep learning-based techniques not only automate the risk characterization process but also provide an accurate CV risk stratification for better management of RA patients. This review provides a brief understanding of the pathogenesis of RA and its association with carotid atherosclerosis imaged using the B-mode ultrasound technique. Lacunas in traditional risk scores and the role of machine learning-based tissue characterization algorithms are discussed and could facilitate cardiovascular risk assessment in RA patients. The key takeaway points from this review are the following: (i) inflammation is a common link between RA and atherosclerotic plaque buildup, (ii) carotid ultrasound is a better choice to characterize the atherosclerotic plaque tissues in RA patients, and (iii) intelligence-based paradigms are useful for accurate tissue characterization and risk stratification of RA patients.

What role does rheumatoid arthritis disease activity have in cardiovascular risk?

Rheumatoid arthritis (RA) is associated with a 1.3 to 3-fold increase in mortality, being the major cause of death from cardiovascular complications (40%-50%). Therefore, the initial approach should include cardiovascular risk (CVR) assessment using algorithms adapted for this population. Although, SCOREM is an important advance, there are data indicating that subclinical atherosclerosis may be underdiagnosed.

OBJECTIVE

To estimate the strength of association between carotid ultrasound and SCOREM in this population, as well as the implication of disease activity.

METHODOLOGY

Cross-sectional, observational, analytical study performed at the General Hospital of Ciudad Real, Spain, between June 2013 and May 2014. The evaluation of CVR was performed and, according to SCOREM, the population was divided into low and high (medium, high and very high) risk. We studied the presence of subclinical atherosclerosis in low-risk patients.

RESULTS

Of the total of 119 RA patients, 73.1% had traditional risk factors. Thirty-eight patients were excluded because of a previous cardiovascular event, diabetes mellitus and/or nephropathy. Atheromatous plaque was observed in 14.63% of the low-risk population. The factor with the strongest association to the presence of subclinical atherosclerosis was a moderate or high activity of RA measured by the simplified disease activity index with an odds ratio of 4.95 (95% CI: 1.53-16.01).

CONCLUSIONS

Although there was an acceptable correlation between the presence of subclinical atherosclerosis and SCOREM, there was a considerable proportion of atheromatous plaques in low-risk patients. Disease activity was the risk factor most closely associated with increased CVR.

Ultrasound carotid plaque features, cardiovascular disease risk factors and events: The Multi-Ethnic Study of Atherosclerosis.Atherosclerosis. 2018;276:195-202. [PMID: 29970256 DOI: 10.1016/j.atherosclerosis.2018.06.005]

BACKGROUND AND AIMS

It is not known if ultrasound carotid plaque features are associated with cardiovascular disease (CVD) risk factors or if they predict future CVD events.

METHODS

We measured total carotid plaque area (TPA) and grayscale plaque features (grayscale median, black areas, and discrete white areas) by B-mode carotid ultrasound among 2205 participants who participated in the first (baseline) visit of the Multi-Ethnic Study of Atherosclerosis. Multivariable linear regression was used to examine relationships between ultrasound plaque features and CVD risk factors at baseline. Cox proportional hazards models were used to assess if TPA, grayscale features, and carotid plaque score (number of arterial segments with a plaque) could predict incident coronary heart disease and cerebrovascular disease events over a mean follow-up of 13.3 years.

RESULTS

Participants were mean (standard deviation [SD]) 65.4 (9.6) years, 49% male, 39% White, 11% Chinese, 28% Black, and 22% Hispanic. Mean TPA 27.7 (24.7) mm², but no grayscale plaque features, was associated with CVD risk factors. In fully adjusted models, TPA but no grayscale features predicted incident coronary heart disease (CHD) events (HR 1.23; 95%CI 1.11-1.36; p<0.001), however, C-statistics for CHD were similar to carotid plaque score but less than for coronary artery calcium (CAC) scoring. Neither TPA nor grayscale features independently predicted cerebrovascular events.

CONCLUSIONS

In middle-aged adults free of known cardiovascular disease, TPA but not grayscale plaque features was associated with CVD risk factors and predicted incident CHD events. For CHD, prediction indices for TPA were similar to carotid plaque score but less than for CAC.

Flip-Flop Phenomenon: Swallowing-Induced Arterial Displacement as an Indicator of Carotid Artery Disease

BACKGROUND AND PURPOSE

The dynamic displacement of the carotid arteries with interference of the hyoid bone during swallowing, named as "flip-flop" phenomenon (FFP), may be associated with ischemic stroke. However, the extent to which FFP is prevalent in carotid artery disease remains unknown. We aimed to investigate its exact prevalence to explore the relationship between FFP and carotid artery disease.

METHODS

We examined 202 consecutive patients who were affected by neurological diseases including cerebrovascular diseases. Using carotid ultrasound, we evaluated carotid intima-media thickness, internal carotid artery stenosis (ICS), and FFP during swallowing with neck rotation.

RESULTS

FFP was observed in 39 of the 202 patients (19.3%). Patients with FFP showed significantly higher prevalence of ICS than those without FFP (12/39 [30.8] vs. 21/163 [12.9%]; p = 0.007). Among those with ICS (n = 33; 36 vessels), FFP was associated with symptomatic ICS more frequently than with asymptomatic ICS (6/11 [54.5] vs. 5/25 [20.0%]; p = 0.038). Among those with unilateral FFP (n = 37), the prevalence of ipsilateral ICS was higher than that of contralateral ICS (9/37 [24.3] vs. 2/37 [5.4%]; p = 0.035).

CONCLUSIONS

FFP accompanies the swallowing movement in some neurological patients, and more frequently in patients with ICS. FFP may thus be a novel indicator of stroke.

Early Diagnosis and Treatment of Coronary Heart Disease in Asymptomatic Subjects With Advanced Vascular Atherosclerosis of the Carotid Artery (Type III and IV b Findings Using Ultrasound) and Risk Factors

Background

A study was conducted as to whether the early diagnosis of coronary heart disease in asymptomatic subjects with advanced atherosclerosis of the carotid artery which additionally shows at least one risk factor is successful using ultrasound technology.

Methods

Within the scope of an occupational screening program using subjects from diverse employment sectors, people were given the opportunity to determine their risk of heart attack. During the study the total plaque area (TPA), the maximum plaque thickness in the carotid artery and the PROCAM-Scores of 3,748 healthy men and 2,260 healthy women between the ages of 20 and 64 years were determined. During the subsequent follow-up study 94 subjects sickened. An ultrasound examination of the carotid artery of 79 patients revealed a type III or IV b finding. In a pilot study 33 asymptomatic subjects with a type III or IV b finding in the ultrasound examination were assessed using a computed tomography (CT) coronary angiogram. Additional 10 asymptomatic subjects were examined independently to undergo further cardiac examinations.

Results

In the final analysis only five patients had entirely smooth coronary arteries, six had coronary sclerosis, eight had a 30% stenosis, one had a 30-50% stenosis and 23 patients had a stenosis ≥ 50%; and in extreme case, a left main coronary artery stenosis with three-vessel disease.

Conclusions

Asymptomatic subjects with advanced atherosclerosis of the carotid artery (type III and type IV b findings) had a high risk for coronary heart disease (CHD). Early treatment of the disease improves the patient's prognosis. A screening consisting in the combination of TPA measurement and determining the maximum plaque thickness is recommended.

Interleukin-6 is an independent predictor of progressive atherosclerosis in the carotid artery: The Tromsø Study

BACKGROUND AND AIMS

Novel biomarkers are linked to cardiovascular disease (CVD). The aim of the present study was to investigate the association between 28 blood biomarkers and the formation and progression of carotid plaque.

METHODS

In a nested case control study with 703 participants from the population based Tromsø Study, a large biomarker panel was measured in blood obtained at baseline. Carotid ultrasound was assessed both at baseline and at 6 years of follow-up. Four groups were defined: Group 1: no plaque at baseline or at follow-up (reference group); Group 2: novel plaque at follow-up; Group 3: stable plaque at follow-up; Group 4: progression of plaque at follow-up. By multinomial logistic regression analyses, we assessed the risk of being in the different plaque groups with regard to traditional cardiovascular risk factors and levels of biomarkers at baseline.

RESULTS

Adjusted for traditional risk factors, interleukin-6 (IL-6) was an independent predictor of plaque progression (OR 1.44, 95% CI 1.12-1.85 per SD increase in IL-6 level). This result remained significant after inclusion of other novel biomarkers to the model, and when subjects with former CVD were excluded. Neopterin was protective of novel plaque formation (OR 0.73, 95% CI 0.57-0.93). Myeloperoxidase and Caspase-1 were independent predictors of plaque progression, but this effect disappeared when excluding subjects with former CVD.

CONCLUSIONS

IL-6 is an independent predictor of plaque progression, suggesting that it may be a marker of progressive atherosclerosis in the general population and that its central role in CVD may be related to promotion of plaque growth.

Evaluation of the Effect of Alogliptin on Tissue Characteristics of the Carotid Wall: Subanalysis of the SPEAD-A Trial

INTRODUCTION

Ultrasonic tissue characterization of the carotid wall using gray-scale median (GSM) reflects its composition and low-GSM plaque is considered to be unstable. The present study evaluated the effect of alogliptin, a dipeptidyl peptidase-4 inhibitor, on the longitudinal change in GSM, an index of the tissue characteristics of the carotid wall, in patients with type 2 diabetes (T2DM).

METHODS

This is a post hoc subanalysis using data obtained from the SPEAD-A trial, a randomized controlled trial that demonstrated the beneficial effect of alogliptin treatment on the progression of carotid intima-media thickness in patients with T2DM with no past history of apparent cardiovascular disease. A total of 322 subjects (161 in the alogliptin treatment group and 161 in the conventional treatment group) were enrolled. The primary outcome was the change from baseline in mean GSM-CCA (common carotid artery) during the 104-week observation period.

RESULTS

Both alogliptin treatment and conventional treatment significantly increased the mean GSM-CCA (from 60.7 ± 12.3 to 65.9 ± 10.1, p < 0.001 and 58.8 ± 14.4-65.2 ± 12.2, p < 0.001, respectively) and there was no significant difference in changes in mean GSM-CCA between the treatment groups (p = 0.95). Additionally, there were no differences in the changes in the left and right GSM-CCA between the groups.

CONCLUSIONS

A post hoc subanalysis revealed an improvement of tissue characteristics in the carotid arterial wall in both the alogliptin treatment group and the conventional treatment group during the 104-week treatment period and that there was no significant difference between the treatment groups.

CLINICAL TRIAL REGISTRATION

UMIN000019951.