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Comparison of brachial and carotid artery ultrasound for assessing extent of subclinical atherosclerosis in HIV: a prospective cohort study

AIDS Research and Therapy volume 6, Article number: 11 (2009) Cite this article

Abstract

Background

Non-invasive surrogate measures which are valid and responsive to change are needed to study cardiovascular risks in HIV. We compared the construct validity of two noninvasive arterial measures: carotid intima medial thickness (IMT), which measures anatomic disease; and brachial flow-mediated vasodilation (FMD), a measure of endothelial dysfunction.

Methods

A sample of 257 subjects aged 35 years or older, attending clinics in five Canadian centres, were prospectively recruited into a study of cardiovascular risk among HIV subjects. The relationship between baseline IMT or FMD and traditional vascular risk factors was studied using regression analysis. We analyzed the relationship between progression of IMT or FMD and risk factors using fixed-effects models. We adjusted for use of statin medication and CD4 count in both models.

Results

Baseline IMT was significantly associated with age (p < 0.001), male gender (p = 0.034), current smoking status (p < 0.001), systolic blood pressure (p < 0.001) and total:HDL cholesterol ratio (p = 0.004), but not statin use (p = 0.904) and CD4 count (p = 0.929). IMT progression was significantly associated with age (p < 0.001), male gender (p = 0.0051) and current smoking status (p = 0.011), but not statin use (p = 0.289) and CD4 count (p = 0.927). FMD progression was significantly associated with current statin use (p = 0.019), but not CD4 count (p = 0.84). Neither extent nor progression of FMD was significantly associated with any of the examined vascular risk factors.

Conclusion

IMT correlates better than FMD with established cardiovascular risk factors in this cohort of HIV patients. Standardization of protocols for FMD and IMT will facilitate the comparison of results across studies.

Background

HIV patients may have a higher risk of developing cardiovascular diseases than the general population [1–3]. This higher risk may be attributed to HIV infection or to individual drugs (or drug classes) used in treating the infection [1, 4]. In particular, studies have shown that protease inhibitors [4] and nucleoside reverse transcriptase inhibitors such as abacavir and didanosine are associated with increased risk of myocardial infarction in HIV patients [5].

Cardiovascular disease is often characterized by development of atherosclerosis, in which plaque is accumulated on the inside of arterial walls [6]. The reference standard for assessing extent of atherosclerosis is coronary angiography, which is costly, invasive and has occasional complications such as vascular injury [7]. Inexpensive, reproducible, validated, non-invasive measurement of sub-clinical atherosclerosis involves the use of ultrasound (US) methods for imaging the carotid and branchial arteries [8–10]. Summary measures obtained from arterial wall thickness have been used as surrogates of extent, severity and progression of atherosclerosis in numerous studies of cardiovascular health involving diverse patient populations [10]. Examples of such measures include carotid intimal medial thickness (IMT), brachial artery flow-mediated vasodilation (FMD) and plaque area [10, 11].

Carotid IMT is a measure of anatomic disease, used to identify and determine the extent of early arterial wall changes or structural vascular abnormalities [10, 12–14]. Increased carotid IMT is a strong predictor of acute coronary events [10, 14, 15], and is significantly associated with established cardiovascular risk factors among various study populations [1, 9, 10, 13, 14, 16–18].

Brachial FMD is a non-invasive and validated measure of endothelial function [19, 20]. The endothelium helps to maintain vascular health by releasing both paracrine and autocrine factors such as nitric oxide (also called endothelium-derived relaxing factor). Nitric oxide (NO) promotes smooth muscle relaxation, inhibition of platelet aggregation and adhesion, vasodilation and increased blood flow [21, 22]. Thus, endothelial generation of NO is protective against atherogenesis [22]. A reduction in endothelial release of NO indicates endothelial dysfunction and is regarded as an early evidence of atherosclerosis [21–25]. Individuals with coronary artery disease (CAD) may exhibit impaired brachial FMD responses in the brachial arteries [11, 20, 26].

Impaired brachial FMD has been shown to be significantly associated with cardiovascular risk factors in some [11, 24, 27], but not all, studies [13, 28]. Also, there are conflicting results regarding the association between brachial FMD and cardiovascular events in various patient populations [20, 29].

Non-invasive surrogate measures which are valid and responsive to change are needed to study cardiovascular risks associated with HIV or HIV treatment regimens. There are limited data on the relationship between extent/progression of carotid IMT or brachial FMD and traditional vascular risk factors in HIV patients. Further, the relationship between carotid IMT and brachial FMD has not been well studied in HIV patients. In this study, we compare the validity and responsiveness to change of two ultrasound measures: 12-segment carotid artery IMT and brachial artery FMD in Canadian HIV vascular study participants. We also investigate the relationship between these two measures.

Methods

Study design and study population

HIV patients aged 35 years or older, attending university-affiliated clinics in five Canadian centers (Hamilton, Toronto, Calgary, Quebec City and Vancouver) are being recruited into an ongoing five-year, prospective, multi-center cohort study to evaluate the association between atherosclerotic progression, anti-retroviral drug regimen, immune reconstitution and standard cardiovascular risk factors. Subjects are recruited regardless of cardiovascular risk factors or past cardiac history. The study was approved by research ethics boards of each study site, and informed consent was obtained from all participants.

All participants provide a medical history and undergo yearly high-resolution ultrasound using a standardized protocol and centralized reading. As of March 2008, 257 subjects had baseline measurements for carotid IMT and brachial FMD, with 168 patients having one-year follow-up assessments. Measurement of carotid IMT is ongoing, but brachial FMD was discontinued after one-year follow-up due to cost considerations. For this ancillary study, two datasets were created namely: (1) cross-sectional data consisting of 257 patients with baseline carotid IMT and brachial FMD; and (2) progression data consisting of 168 patients with baseline and follow-up measurements for carotid IMT and brachial FMD (Figure 1).

Figure 1
figure 1

Flowchart of patients.

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Clinical characteristics

Data on demographic and certain clinical characteristics of subjects were collected at each centre using questionnaires administered by research staff, or by chart review. Blood pressure was measured twice using a mercury sphygmomanometer, and results averaged. Lipids (total and HDL cholesterol and triglycerides) were measured after overnight fast. LDL-cholesterol concentration was calculated by the Friedewald formula. CD4-T-lymphocyte counts were obtained by FACS analysis performed by the Hamilton Regional Laboratory Medicine Program, and plasma HIV viral load were measured by Chiron bDNA assay at the Central Public Health Laboratory in Toronto, Ontario.

Ultrasound methods

Ultrasound imaging and readings are conducted by trained personnel using high resolution B-mode ultrasonography, standardized protocol and centralized reading. The ultrasound laboratory in each study site uses imaging systems equipped with 7.5 to 10 MHz linear phase-arrayed vascular transducers. The same imaging system is used for all ultrasound imaging within each center. Ultrasound measurements are recorded on S-VHS tapes, which are later digitized and analyzed offline at the Core Carotid Ultrasound Laboratory (Hamilton, Ontario) by a certified reader blinded to patients' clinical information.

Patients were advised to fast and abstain from caffeine/vasoactive medications 12 hours prior to measurement, and were advised to avoid cigarette smoking (second-hand inclusive) at least four hours prior to imaging. Imaging for carotid IMT was done before brachial FMD on the same day.

(A) 12-segment carotid intimal medial thickness (IMT)

Carotid IMT identifies and quantitates early arterial wall changes or structural vascular abnormalities [10, 12, 13]. A rigorously-standardized, reliable, validated method of '12-segment carotid IMT' developed by Lonn et al [8, 30] was used to assess the global extent of atherosclerosis in patients. Images of six well-defined segments (near and far wall of the common carotid, the bifurcation and the internal carotid) were obtained in each of the left and right carotid arteries using high resolution B-mode ultrasonography.

Ultrasound measurements were recorded on S-VHS tapes, which were later digitized and analyzed using the Image-Pro V4.5.1 software (Glen Burnie, Maryland). For each segment a minimum of three frames were measured. The maximum of all measurements from each segment were summed-up and divided by 12 to obtain the "12-segment mean-maximal carotid IMT" [8]. Twelve-segment mean-maximal carotid IMT is higher in individuals with CAD [8, 30].

(B) Brachial flow-mediated vasodilation (FMD)

Brachial FMD was measured using an extensively validated and reliable method [13, 31–33]. End-diastolic ultrasound images of the brachial artery diameter (longitudinally and slightly above the antebrachial fossa or upper arm) were obtained at rest and during vasodilator response induced by passive hyperemia (endothelium-dependent dilation).

Each patient rested in a quiet room for 10 minutes, after which sequential images of the brachial artery were obtained within a 45 second interval. Subsequently, a blood pressure cuff was inflated around the right lower arm to at least 200 mm Hg, resulting in occlusion of blood flow to the upper arm. The cuff was released after five minutes, resulting in a marked increase in blood flow due to resistance vessel dilation. The increase in blood flow stimulates the release of NO which mediates the dilation of conduit vessels. Peak brachial artery dilation occurs approximately one minute after cuff release [26]. Another set of sequential images was obtained during peak dilation.

The ultrasound image frames obtained were recorded on S-VHS tapes, from which brachial artery diameters were calculated using Dynamic Endothelial Assessment (DEA) software (Montreal, Quebec). Average diameter of brachial artery (before and after dilation) was obtained from nine sequential images taken at rest and 12 taken during peak artery dilation. Percent flow mediated dilation was expressed as

Conduit vessel dilation is attenuated (smaller %FMD) in individuals with CAD [26].

Twelve-segment carotid IMT and brachial FMD have been standardized and validated in previous studies at the Core Carotid Ultrasound Laboratory (Hamilton, Ontario), with intraclass correlation > 90% and coefficient of variation < 5% for repeat examinations [13, 30].

Statistical analysis

Continuous variables are expressed as mean (standard deviation), while categorical variables are expressed as count (percent) unless otherwise stated.

We hypothesized that "brachial FMD and carotid IMT should correlate well with traditional vascular risk factors for them to be considered good measures of extent, severity or progression of atherosclerosis". This formed the basis for assessment of construct validity. Multiple linear regression models were used to examine the association between baseline carotid IMT or brachial FMD and the well-validated traditional "Framingham" cardiovascular risk factors of age, male gender, current smoking status, systolic blood pressure (SBP) and total:HDL cholesterol ratio using the cross-sectional data. Goodness-of-fit was evaluated by plotting the residuals from models to assess the normality assumption. The distribution of residuals should approximate the normal distribution for good model fit. We also used the co-efficient of determination (R2) to quantify the proportion of variation in the dependent variable explained by the independent variables included in the multiple regression models [34].

Fixed effects models were used to study the relationship between progression of carotid IMT or brachial FMD and known cardiovascular risk factors using the progression data. Fixed effects models are useful for longitudinal data in which changes in time-varying covariates such as age, total:HDL cholesterol and SBP may affect the repeated outcome of interest [35]. There is no reason to assume that these quantities are constant over time. Further, the correlation between baseline and follow-up response is incorporated into model specification by assuming a plausible correlation structure. We assumed a "continuous time" version of the auto-regressive (AR(1)) correlation structure (available only for mixed/fixed effects models in SAS© software), to adjust for irregularities in follow-up times [36]. The reason is that many scheduled follow-up visits were not feasible due to circumstances beyond the control of investigators, thus resulting in differential follow-up times for patients. A time variable was created by designating the first visit for each patient as (t1 = 1) and follow-up visits as

The time component is closer to reality by making it a continuous, rather than a discrete, variable. Model fit was assessed using the "Null Model Likelihood Ratio Test" [37]. The "Null Model Likelihood Ratio Test" is a likelihood ratio test of whether the model with a specified covariance structure fits better than a model where repeated responses are assumed independent. An independent covariance structure is often implausible for repeated measures data. A p-value < 0.05 for the likelihood ratio test shows that the fitted model is better than an independent covariance structure model [37]. Model adequacy was also evaluated using Akaike's Information Criterion (AIC) to compare between "continuous time" and "fixed time" AR(1) structures. A smaller AIC indicates better fit [37].

We evaluated the nature of the relationship between baseline carotid IMT and brachial FMD using Pearson correlation co-efficient.

Patients were classified as very low, low, medium/high risk if individual Framingham risk scores were < 5%, 5–9% and ≥ 10% respectively [38]. The medium and high risk categories were combined due to limited numbers of subjects in these categories. Framingham risk scores quantify the 10-year risk of developing "hard" coronary heart disease including myocardial infarction and coronary death [38]. Framingham risk score is a strong predictor of coronary heart disease [38]. One-way analysis of variance (ANOVA) models were used to cross-sectionally examine differences in brachial FMD or carotid IMT by Framingham risk group classification.

We adjusted for current use of statin medication and CD4 count in each regression model. All statistical tests were conducted at 5% significance level. Graphs and analysis results were obtained using SPSS Version 15.0 (SPSS Inc., Chicago, Illinois, USA) and SAS Version 9.1 (SAS Institute Inc., Cary, NC, USA).

The authors had full access to the data and take responsibility for its integrity. All authors have read and agree to the manuscript as written.

Results

Baseline and follow-up characteristics

Cross-sectional data

There were 257 patients in the baseline extent data with 232(90.3%) males and 25(9.7%) females. Carotid IMT ranged from 0.47 mm to 2.24 mm, with mean(SD) of 0.81(0.23) mm. Brachial FMD ranged from -7.36% to 29.96%, with mean(SD) of 4.95(4.50)%. We found a weak inverse relationship between carotid IMT and brachial FMD at baseline (r = -0.126; p = 0.043; see Figure 2). Other patient characteristics are listed in Table 1.

Figure 2
figure 2

Carotid IMT versus brachial FMD at baseline.

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Table 1 Baseline characteristics for extent data (n = 257)
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Stratifying by Framingham risk group, dose-response relationships were found between risk group classification and carotid IMT or brachial FMD (Table 2). Carotid IMT differed significantly between risk groups from ANOVA analysis (p < 0.001). Brachial FMD did not differ significantly across the risk groups from ANOVA results (p = 0.227).

Table 2 Baseline characteristics for extent data by Framingham risk group
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Of the 257 patients assessed at baseline, information on anti-retroviral therapy was available for 253 individuals. There were 85 (34%) patients who were currently on Abacavair, 106 (42%) were on Zidovudine, 61 (24%) on Stavudine, 21 (8%) on Didanosine, 98 (39%) on Efavirenz, 21 (8%) on Nelfinavir and 21 (8%) on Nevirapine. However, we did not test the effects of HIV medications on Carotid IMT/brachial FMD as that was not part of our main goal, which was to validate these measures against traditional risk factors.

Progression data

There were 168 patients in the progression dataset with 151(89.9%) males and 17(10.1%) females. Median (interquartile range) follow-up time was 1.02 (0.43) years. At baseline, carotid IMT varied from 0.47 mm to 1.57 mm with mean(SD) of 0.82(0.22) mm, while brachial FMD varied from -6.81% to 29.96% with mean(SD) of 5.10(4.58)%. At one-year follow-up, the measures ranged from 0.50 mm to 1.57 mm with mean(SD) of 0.84(0.23) mm and -13.61% to 25.52% with mean(SD) of 4.40(4.96)% respectively. On average, carotid IMT progressed at 0.02(standard error (SE) = 0.01) mm/year while brachial FMD decreased at 0.84(SE = 0.79)%/year. Summary statistics for other variables are listed in Table 3. Summary data for patients excluded from the progression analyses are summarized in Table 4. Patient distribution appears to be comparable in both included and excluded data, except for viral load and current statin use.

Table 3 Baseline and follow-up characteristics for progression data (n = 168)
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Table 4 Baseline characteristics of excluded cases (n = 89)
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Examining the data cross-sectionally at baseline and follow-up, there was a dose-response relationship between carotid IMT and risk group classification (Table 5). Carotid IMT differed significantly by risk group classification at baseline and follow-up (p < 0.001 respectively in each case). There was neither a dose-response relationship nor significant difference in brachial FMD across risk groups at baseline and follow-up (p = 0.540 and 0.312 respectively).

Table 5 Baseline and follow-up characteristics for progression data by Framingham risk group
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Validity of baseline extent measures (cross-sectional data)

Goodness-of-fit tests were satisfied. The distribution of residuals did not deviate systematically from the normal distribution. Validity of measurement method was assessed by how well each method correlated with classical cardiovascular risk factors at baseline. From multiple regression models: older patients (p < 0.001), male patients (p = 0.034), current smokers (p < 0.001), patients with higher SBP (p < 0.001), or higher total:HDL cholesterol (p = 0.004) were statistically significantly associated with higher carotid IMT (Table 6). The cardiovascular risk factors explained approximately 45% of the variation in carotid IMT (R2 = 0.45). Neither current statin use nor CD4 count were statistically significantly associated with IMT (p = 0.904 and 0.929 respectively).

Table 6 Estimates from multiple regression models for baseline of Carotid IMT and Brachial FMD (%)
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In contradistinction, none of these risk factors was significantly associated with brachial FMD (Table 6). The cardiovascular risk factors explained only 3% of the variation in brachial FMD (R2 = 0.031). Current use of statins explained negligible amount of variation in both IMT and FMD regression models. It should however be noted that the percentage of patients on statin was very small to make strong inferences regarding the effect of the drug.

Responsiveness to change (progression data)

The "continuous time" AR(1) structure was assumed for carotid IMT while the "fixed time" structure was assumed for brachial FMD using results from the AICs. Both models provided better fits than the independent correlation structure model from the "Null Model Likelihood Ratio" tests.

From fixed-effects models, positive change in carotid IMT was statistically significantly associated with older age (p < 0.001), male gender (p = 0.005), and current smoking status (p = 0.011). Increase in SBP or total:HDL cholesterol was not statistically significantly associated with progression of carotid IMT (Table 7).

Table 7 Estimates from fixed effects models for progression of Carotid IMT and Brachial FMD (%)
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In comparison to non-statin users, patients on current (baseline) statin medication had significantly better FMD response after one-year follow-up (mean difference = 3.11, 95% CI: 0.53 to 5.69). None of the traditional cardiovascular risk factors was significantly associated with progression of brachial FMD (Table 7).

Discussion

Non-invasive, validated and reproducible arterial imaging techniques such as brachial FMD and carotid IMT are often used to measure the extent, severity or progression of subclinical atherosclerosis in vascular health studies [13, 20]. Brachial FMD is a measure of endothelial dysfunction [13, 20] whereas carotid IMT measures structural vascular integrity [13]. Studies have shown that anti-atherogenic interventions such as statins, angiotensin-converting enzyme (ACE) inhibitors and other blood-pressure lowering agents help to improve brachial FMD [13, 32, 39, 40], and retard carotid IMT progression [12, 13, 30, 31], thus highlighting the importance of both measures in the atherosclerotic process.

In our study of HIV patients, neither extent nor progression of brachial FMD was significantly associated with any of the examined classical vascular risk factors. The cardiovascular risk factors explained only 3% of the variation in brachial FMD. Use of statin medication led to statistically significant improvement in brachial FMD, thus replicating results from other studies [39]. Extent of carotid IMT was significantly associated with age, male gender, current smoking status, SBP and total:HDL cholesterol, whereas progression of carotid IMT was significantly associated with age, male gender and current smoking status. The cardiovascular risk factors explained approximately 45% of the variation in carotid IMT.

Our results on carotid IMT are similar to results obtained in other vascular studies in both non-HIV [13, 15, 41, 42] and HIV subject populations [1, 43]. In a cross-sectional study involving 119 indigenous Australians at risk of cardiovascular disease, carotid IMT was significantly associated with traditional cardiovascular risk factors, while brachial FMD was associated with none of the examined risk factors [28]. A case-control study by Lekakis et al [3] found a significant association between extent of IMT and blood pressure, cholesterol and glucose levels, duration of HIV disease and use of protease inhibitors. In contrast, brachial FMD was only associated with triglyceride measurements [3]. Yan et al [13] in a cross-sectional analysis of data from a large cohort of middle-aged healthy men found significant associations between carotid IMT increase and age, SBP, body mass index, total and LDL cholesterol and fasting plasma glucose. Among all risk factors examined, increasing SBP was the only one associated with impaired brachial FMD [13]. In a small study (total sample size = 37) involving a relatively homogenous sample of adult HIV patients on anti-retroviral therapy, Stein et al [44] found an association between impaired brachial FMD and VLDL (very low density), IDL (intermediate density), HDL and total cholesterol levels [44]. Brachial FMD has been shown to correlate with vascular risk factors in non-HIV subjects [24, 27] and use of protease inhibitors in HIV subjects [44].

We also found a weak inverse relationship between carotid IMT and brachial FMD with borderline significance (r = -0.126, p = 0.043). A much larger study (sample size of 1,578) by Yan et al [11] found no significant correlation (r = -0.006, p = 0.82) between IMT and FMD in healthy middle-aged men without cardiovascular disease [11]. Irace et al [45] found a moderate linear association between FMD and IMT in treatment naïve subjects at risk of CAD (r = -0.217, p = 0.058). In a large study involving 2,109 healthy adults aged 24 to 39 years in Finland, Juonala et al [46] found a statistically significant inverse relationship (p < 0.001) between IMT and FMD, thus adding to a series of conflicting results on the "true" nature of the relationship between these two important measures. Several relatively smaller studies have found significant inverse relationship between IMT and FMD suggesting that these two measures assess the same "aspects and stages of early atherosclerosis" [47–52]. The results from smaller studies are suspect due to sample size limitation. Findings from Yan et al [13] suggest that brachial FMD and carotid IMT are likely "unique" and unrelated surrogates that assess varying aspects and stages vascular disease [13]. In contrast, Juonala et al [46] suggest a strong inverse relationship between FMD and IMT, which would be expected if both measures are assessing the same construct. However, we note that while Yan et al [13] employed an IMT method that includes both far and near walls of all segments in the right and left carotid arteries (similar to our study), Juonala et al [46] employed a method that includes only the far wall of the left carotid artery. Perhaps this may serve to explain the contrasting results.

Various explanations have been proposed for conflicting results regarding brachial FMD in the literature. These include heterogeneity in patient populations being studied, different measurement protocols or inadequate sample sizes [11, 13, 14]. In our study, brachial FMD was measured using an extensively validated and reliable method [13, 31–33]. Rundek et al [11] suggest a possibly direct relationship between endothelial dysfunction and atherosclerosis, independent of traditional vascular risk factors. Thus beyond traditional vascular factors, endothelial dysfunction may independently provide additional prognostic information on atherosclerosis through other risk factors not currently assessed [11, 13, 20]. Nevertheless, the validity of brachial FMD as a measure of cardiovascular risk in HIV remains largely unproven. There is need for large, long-term observational studies (with standardized FMD protocols) to critically evaluate the specific role of brachial FMD in atherosclerosis relating to HIV patients. The results presented in our paper were based on baseline and one-year follow-up results.

From our study, IMT progressed at an annual rate of 0.02 mm/year. Hsue et al [1] estimated the annual progression of IMT as 0.074 mm/year in an ancillary cohort study involving 121 HIV-infected adults [1]. The distinction between progression estimates from different studies may result from demographic or clinical differences in the HIV populations studied. Further, more precise progression estimates can be obtained from studies with longer follow-up such as the ongoing "Canadian HIV vascular study". The Canadian HIV vascular study also aims to investigate the relationship between atherosclerotic progression, anti-retroviral drug regimen and immune reconstitution.

There were significant cross-sectional dose-response relationships between baseline (or follow-up) carotid IMT and Framingham risk group classification. Framingham risk classification was a strong predictor of extent of carotid IMT, thus highlighting the prognostic value of risk group classification.

The use of fixed effects models to analyze progression data is one of the strengths of our study. Fixed effects models allow for the inclusion of time-varying covariates such as age, SBP and total:HDL cholesterol. Changes in these covariates are likely to affect progression of either brachial FMD or carotid IMT, thus including this information in model specification is vital to obtaining a closer representation of reality. Secondly, the use of the "continuous-time autoregressive correlation structure" option in SAS software allowed for patients to have differential follow-up times, which more closely depicts circumstances surrounding our study. Also, information on the correlation between baseline and follow-up outcome measures was included as part of model specification.

Conclusion

Carotid IMT is a useful surrogate marker of extent and progression of cardiovascular risk in HIV patients 35 years of age and older, correlating better than FMD with established cardiovascular risk factors. Extent of carotid IMT correlates well with current risk stratification of patients using Framingham risk scores. Use of carotid IMT in ongoing and future observational studies and randomized trials may help to better define the atherosclerotic risk associated with HIV infection and with specific HIV treatments.

Comparison of results across studies is often quite difficult due to differing measurement protocols employed by different investigators. Standardization of protocols for FMD and IMT will aid the comparison of results across studies.

References

  1. Hsue PY, Lo JC, Franklin A, Bolger AF, Martin JN, Deeks SG, Waters DD: Progression of atherosclerosis as assessed by carotid intima-media thickness in patients with HIV infection. Circulation. 2004, 109: 1603-1608. 10.1161/01.CIR.0000124480.32233.8A

    Article  PubMed  Google Scholar 

  2. James JS: Atherosclerosis risk increased with HIV; treatment effects unclear. AIDS Treat News. 2004, 399: 4-5.

    PubMed  Google Scholar 

  3. Lekakis J, Tsiodras S, Ikonomidis I, Palios J, Poulakou G, Rallidis L, Antoniadou A, Panagopoulos P, Papadopoulos A, Giamarellou H, Kremastinos DT: HIV positive patients treated with protease inhibitors have vascular changes resembling those observed in atherosclerotic cardiovascular disease. Clin Sci (Lond). 2008, 115: 189-196.

    Article  CAS  Google Scholar 

  4. DAD Study Group, Friis-Møller N, Reiss P, Sabin CA, Weber R, Monforte A, El-Sadr W, Thiébaut R, De Wit S, Kirk O, Fontas E, Law MG, Phillips A, Lundgren JD: Class of antiretroviral drugs and the risk of myocardial infarction. N Engl J Med. 2007, 356: 1723-1735. 10.1056/NEJMoa062744

    Article  Google Scholar 

  5. Dad Study Group, Sabin CA, Worm SW, Weber R, Reiss P, El-Sadr W, Dabis F, De Wit S, Law M, D'Arminio Monforte A, Friis-Møller N, Kirk O, Pradier C, Weller I, Phillips AN, Lundgren JD: Use of nucleoside reverse transcriptase inhibitors and risk of myocardial infarction in HIV-infected patients enrolled in the D:A:D study: a multi-cohort collaboration. Lancet. 2008, 371: 1417-1426. 10.1016/S0140-6736(08)60423-7

    Article  Google Scholar 

  6. Burger-Kentischer A, Göbel H, Kleemann R, Zernecke A, Bucala R, Leng L, Finkelmeier D, Geiger G, Schaefer HE, Schober A, Weber C, Brunner H, Rütten H, Ihling C, Bernhagen J: Reduction of the aortic inflammatory response in spontaneous atherosclerosis by blockade of macrophage migration inhibitory factor (MIF). Atherosclerosis. 2006, 184: 28-38. 10.1016/j.atherosclerosis.2005.03.028

    Article  CAS  PubMed  Google Scholar 

  7. Revkin JH, Shear CL, Pouleur HG, Ryder SW, Orloff DG: Biomarkers in the prevention and treatment of atherosclerosis: Need, validation, and future. Pharmacol Rev. 2007, 59: 40-53. 10.1124/pr.59.1.1

    Article  CAS  PubMed  Google Scholar 

  8. Lonn EM, Yusuf S, Doris CI, Sabine MJ, Dzavik V, Hutchison K, Riley WA, Tucker J, Pogue J, Taylor W: Study design and baseline characteristics of the study to evaluate carotid ultrasound changes in patients treated with ramipril and vitamin E: SECURE. Am J Cardiol. 1996, 78: 914-919. 10.1016/S0002-9149(96)00467-5

    Article  CAS  PubMed  Google Scholar 

  9. Salonen JT, Salonen R: Ultrasound B-mode imaging in observational studies of atherosclerotic progression. Circulation. 1993, 87: II56-65.

    CAS  PubMed  Google Scholar 

  10. Stein JH, Korcarz CE, Hurst RT, Lonn E, Kendall CB, Mohler ER, Najjar SS, Rembold CM, Post WS, American Society of Echocardiography Carotid Intima-Media Thickness Task Force: Use of carotid ultrasound to identify subclinical vascular disease and evaluate cardiovascular disease risk: A consensus statement from the American Society of Echocardiography Carotid Intima-Media Thickness Task Force. Endorsed by the society for vascular medicine. J Am Soc Echocardiogr. 2008, 21: 93-111. quiz 189–90., 10.1016/j.echo.2007.11.011

    Article  PubMed  Google Scholar 

  11. Rundek T, Hundle R, Ratchford E, Ramas R, Sciacca R, Di Tullio MR, Boden-Albala B, Miyake Y, Elkind MS, Sacco RL, Homma S: Endothelial dysfunction is associated with carotid plaque: A cross-sectional study from the population based Northern Manhattan study. BMC Cardiovasc Disord. 2006, 6: 35- 10.1186/1471-2261-6-35

    Article  PubMed Central  PubMed  Google Scholar 

  12. Simon A, Gariepy J, Chironi G, Megnien JL, Levenson J: Intima-media thickness: A new tool for diagnosis and treatment of cardiovascular risk. J Hypertens. 2002, 20: 159-169. 10.1097/00004872-200202000-00001

    Article  CAS  PubMed  Google Scholar 

  13. Yan RT, Anderson TJ, Charbonneau F, Title L, Verma S, Lonn E: Relationship between carotid artery intima-media thickness and brachial artery flow-mediated dilation in middle-aged healthy men. J Am Coll Cardiol. 2005, 45: 1980-1986. 10.1016/j.jacc.2004.12.079

    Article  PubMed  Google Scholar 

  14. Lorenz MW, Markus HS, Bots ML, Rosvall M, Sitzer M: Prediction of clinical cardiovascular events with carotid intima-media thickness: A systematic review and meta-analysis. Circulation. 2007, 115: 459-467. 10.1161/CIRCULATIONAHA.106.628875

    Article  PubMed  Google Scholar 

  15. Salonen JT, Salonen R: Ultrasonographically assessed carotid morphology and the risk of coronary heart disease. Arterioscler Thromb. 1991, 11: 1245-1249.

    Article  CAS  PubMed  Google Scholar 

  16. Bonithon-Kopp C, Scarabin PY, Taquet A, Touboul PJ, Malmejac A, Guize L: Risk factors for early carotid atherosclerosis in middle-aged French women. Arterioscler Thromb. 1991, 11: 966-972.

    Article  CAS  PubMed  Google Scholar 

  17. Heiss G, Sharrett AR, Barnes R, Chambless LE, Szklo M, Alzola C: Carotid atherosclerosis measured by B-mode ultrasound in populations: Associations with cardiovascular risk factors in the ARIC study. Am J Epidemiol. 1991, 134: 250-256.

    CAS  PubMed  Google Scholar 

  18. Psaty BM, Furberg CD, Kuller LH, Borhani NO, Rautaharju PM, O'Leary DH, Bild DE, Robbins J, Fried LP, Reid C: Isolated systolic hypertension and subclinical cardiovascular disease in the elderly. Initial findings from the cardiovascular health study. JAMA. 1992, 268: 1287-1291. 10.1001/jama.268.10.1287

    Article  CAS  PubMed  Google Scholar 

  19. Sorensen KE, Celermajer DS, Spiegelhalter DJ, Georgakopoulos D, Robinson J, Thomas O, Deanfield JE: Non-invasive measurement of human endothelium dependent arterial responses: Accuracy and reproducibility. Br Heart J. 1995, 74: 247-253. 10.1136/hrt.74.3.247

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  20. Yeboah J, Crouse JR, Hsu FC, Burke GL, Herrington DM: Brachial flow-mediated dilation predicts incident cardiovascular events in older adults: The cardiovascular health study. Circulation. 2007, 115: 2390-2397. 10.1161/CIRCULATIONAHA.106.678276

    Article  PubMed  Google Scholar 

  21. Moncada S, Higgs A: The L-arginine-nitric oxide pathway. N Engl J Med. 1993, 329: 2002-2012. 10.1056/NEJM199312303292706

    Article  CAS  PubMed  Google Scholar 

  22. Moncada S, Higgs EA: The discovery of nitric oxide and its role in vascular biology. Br J Pharmacol. 2006, 147 (Suppl 1): 193-201. 10.1038/sj.bjp.0706458.

    Google Scholar 

  23. Ross R: The pathogenesis of atherosclerosis – an update. N Engl J Med. 1986, 314: 488-500.

    Article  CAS  PubMed  Google Scholar 

  24. Celermajer DS, Sorensen KE, Gooch VM, Spiegelhalter DJ, Miller OI, Sullivan ID, Lloyd JK, Deanfield JE: Non-invasive detection of endothelial dysfunction in children and adults at risk of atherosclerosis. Lancet. 1992, 340: 1111-1115. 10.1016/0140-6736(92)93147-F

    Article  CAS  PubMed  Google Scholar 

  25. Ross R: Atherosclerosis – an inflammatory disease. N Engl J Med. 1999, 340: 115-126. 10.1056/NEJM199901143400207

    Article  CAS  PubMed  Google Scholar 

  26. Corretti MC, Plotnick GD, Vogel RA: Technical aspects of evaluating brachial artery vasodilatation using high-frequency ultrasound. Am J Physiol. 1995, 268: H1397-1404.

    CAS  PubMed  Google Scholar 

  27. Celermajer DS, Sorensen KE, Bull C, Robinson J, Deanfield JE: Endothelium-dependent dilation in the systemic arteries of asymptomatic subjects relates to coronary risk factors and their interaction. J Am Coll Cardiol. 1994, 24: 1468-1474.

    Article  CAS  PubMed  Google Scholar 

  28. Chan L, Shaw AG, Busfield F, Haluska B, Barnett A, Kesting J, Short L, Marczak M, Shaw JT: Carotid artery intimal medial thickness, brachial artery flow-mediated vasodilation and cardiovascular risk factors in diabetic and non-diabetic indigenous australians. Atherosclerosis. 2005, 180: 319-326. 10.1016/j.atherosclerosis.2004.12.005

    Article  CAS  PubMed  Google Scholar 

  29. Anderson TJ: Prognostic significance of brachial flow-mediated vasodilation. Circulation. 2007, 115: 2373-2375. 10.1161/CIRCULATIONAHA.107.697045

    Article  PubMed  Google Scholar 

  30. Lonn E, Yusuf S, Dzavik V, Doris C, Yi Q, Smith S, Moore-Cox A, Bosch J, Riley W, Teo K, SECURE Investigators: Effects of ramipril and vitamin E on atherosclerosis: The study to evaluate carotid ultrasound changes in patients treated with ramipril and vitamin E (SECURE). Circulation. 2001, 103: 919-925.

    Article  CAS  PubMed  Google Scholar 

  31. Redberg RF, Vogel RA, Criqui MH, Herrington DM, Lima JA, Roman MJ: 34th bethesda conference: Task force #3 – what is the spectrum of current and emerging techniques for the noninvasive measurement of atherosclerosis?. J Am Coll Cardiol. 2003, 41: 1886-1898. 10.1016/S0735-1097(03)00360-7

    Article  PubMed  Google Scholar 

  32. Corretti MC, Anderson TJ, Benjamin EJ, Celermajer D, Charbonneau F, Creager MA, Deanfield J, Drexler H, Gerhard-Herman M, Herrington D, Vallance P, Vita J, Vogel R, : Guidelines for the ultrasound assessment of endothelial-dependent flow-mediated vasodilation of the brachial artery: A report of the international brachial artery reactivity task force. J Am Coll Cardiol. 2002, 39: 257-265. 10.1016/S0735-1097(01)01746-6

    Article  PubMed  Google Scholar 

  33. Anderson TJ: Assessment and treatment of endothelial dysfunction in humans. J Am Coll Cardiol. 1999, 34: 631-638. 10.1016/S0735-1097(99)00259-4

    Article  CAS  PubMed  Google Scholar 

  34. Dobson A: An Introduction to Generalized Linear Models. 2002, Florida: Chapman & Hall/CRC,

    Google Scholar 

  35. Diggle PJ, Heagerty P, Liang K, Zeger SL: Analysis of Longitudinal Data. 2002, Oxford: Oxford University Press, Second,

    Google Scholar 

  36. Thiebaut R, Jacqmin-Gadda H, Chene G, Leport C, Commenges D: Bivariate linear mixed models using SAS proc MIXED. Comput Methods Programs Biomed. 2002, 69: 249-256. 10.1016/S0169-2607(02)00017-2

    Article  PubMed  Google Scholar 

  37. Littell RC, Milliken GA, Stroup WW, Wolfinger RD, Schabenberger O: SAS for Mixed Models. 2006, Cary, NC: SAS Institute Inc, Second,

    Google Scholar 

  38. Wilson PW, D'Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB: Prediction of coronary heart disease using risk factor categories. Circulation. 1998, 97: 1837-1847.

    Article  CAS  PubMed  Google Scholar 

  39. Beckman JA, Liao JK, Hurley S, Garrett LA, Chui D, Mitra D, Creager MA: Atorvastatin restores endothelial function in normocholesterolemic smokers independent of changes in low-density lipoprotein. Circ Res. 2004, 95: 217-223. 10.1161/01.RES.0000134628.96682.9b

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  40. Anderson TJ, Elstein E, Haber H, Charbonneau F: Comparative study of ACE-inhibition, angiotensin II antagonism, and calcium channel blockade on flow-mediated vasodilation in patients with coronary disease (BANFF study). J Am Coll Cardiol. 2000, 35: 60-66. 10.1016/S0735-1097(99)00537-9

    Article  CAS  PubMed  Google Scholar 

  41. Chambless LE, Heiss G, Folsom AR, Rosamond W, Szklo M, Sharrett AR, Clegg LX: Association of coronary heart disease incidence with carotid arterial wall thickness and major risk factors: The atherosclerosis risk in communities (ARIC) study, 1987–1993. Am J Epidemiol. 1997, 146: 483-494.

    Article  CAS  PubMed  Google Scholar 

  42. Davis PH, Dawson JD, Riley WA, Lauer RM: Carotid intimal-medial thickness is related to cardiovascular risk factors measured from childhood through middle age: The muscatine study. Circulation. 2001, 104: 2815-2819. 10.1161/hc4601.099486

    Article  CAS  PubMed  Google Scholar 

  43. Mangili A, Gerrior J, Tang AM, O'Leary DH, Polak JK, Schaefer EJ, Gorbach SL, Wanke CA: Risk of cardiovascular disease in a cohort of HIV-infected adults: A study using carotid intima-media thickness and coronary artery calcium score. Clin Infect Dis. 2006, 43: 1482-1489. 10.1086/509575

    Article  PubMed  Google Scholar 

  44. Stein JH, Klein MA, Bellehumeur JL, McBride PE, Wiebe DA, Otvos JD, Sosman JM: Use of human immunodeficiency virus-1 protease inhibitors is associated with atherogenic lipoprotein changes and endothelial dysfunction. Circulation. 2001, 104: 257-262.

    Article  CAS  PubMed  Google Scholar 

  45. Irace C, Fiaschi E, Cortese C, Gnasso A: Flow-mediated vasodilatation of the brachial artery and intima-media thickness of carotid artery in never-treated subjects. Int Angiol. 2006, 25: 274-279.

    CAS  PubMed  Google Scholar 

  46. Juonala M, Viikari JSA, Laitinen T, Marniemi J, Helenius H, Ronnemaa T, Raitakari OT: Interrelations between brachial endothelial function and carotid intima-media thickness in young adults: the cardiovascular risk in yound Finns study. Circulation. 2004, 110: 2918-2923. 10.1161/01.CIR.0000147540.88559.00

    Article  PubMed  Google Scholar 

  47. Enderle MD, Schroeder S, Ossen R, Meisner C, Baumbach A, Haering HU, Karsch KR, Pfohl M: Comparison of peripheral endothelial dysfunction and intimal media thickness in patients with suspected coronary artery disease. Heart. 1998, 80: 349-354.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  48. Hashimoto M, Eto M, Akishita M, Kozaki K, Ako J, Iijima K, Kim S, Toba K, Yoshizumi M, Ouchi Y: Correlation between flow-mediated vasodilatation of the brachial artery and intima-media thickness in the carotid artery in men. Arterioscler Thromb Vasc Biol. 1999, 19: 2795-2800.

    Article  CAS  PubMed  Google Scholar 

  49. Furumoto T, Fujii S, Saito N, Mikami T, Kitabatake A: Relationships between brachial artery flow mediated dilation and carotid artery intima-media thickness in patients with suspected coronary artery disease. Jpn Heart J. 2002, 43: 117-125. 10.1536/jhj.43.117

    Article  PubMed  Google Scholar 

  50. Haraki T, Takegoshi T, Kitoh C, Wakasugi T, Saga T, Hirai JI, Aoyama T, Inazu A, Mabuchi H: Carotid artery intima-media thickness and brachial artery flow-mediated vasodilation in asymptomatic japanese male subjects amongst apolipoprotein E phenotypes. J Intern Med. 2002, 252: 114-120. 10.1046/j.1365-2796.2002.01011.x

    Article  CAS  PubMed  Google Scholar 

  51. Kobayashi K, Akishita M, Yu W, Hashimoto M, Ohni M, Toba K: Interrelationship between non-invasive measurements of atherosclerosis: Flow-mediated dilation of brachial artery, carotid intima-media thickness and pulse wave velocity. Atherosclerosis. 2004, 173: 13-18. 10.1016/j.atherosclerosis.2003.10.013

    Article  CAS  PubMed  Google Scholar 

  52. Campuzano R, Moya JL, García-Lledó A, Tomas JP, Ruiz S, Megías A, Balaguer J, Asín E: Endothelial dysfunction, intima-media thickness and coronary reserve in relation to risk factors and framingham score in patients without clinical atherosclerosis. J Hypertens. 2006, 24: 1581-1588. 10.1097/01.hjh.0000239294.17636.27

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

The study was supported by grants from the Ontario HIV Treatment Network (OHTN) and Canadian Institute of Health Research (CIHR). Thanks to Sylvie Trottier and Marianne Harris of the Vancouver and Quebec centers respectively for invaluable assistance in recruiting patients for the Canadian HIV vascular study. We thank the reviewers for their suggestions and comments at various stages of the peer-review process.

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Authors and Affiliations

  1. Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, ON, Canada

    Adefowope Odueyungbo, Marek Smieja, Lehana Thabane & Joseph Beyene

  2. Centre for Evaluation of Medicines, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada

    Adefowope Odueyungbo & Lehana Thabane

  3. Biostatistics Unit, Father Sean O'Sullivan Research Centre, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada

    Adefowope Odueyungbo & Lehana Thabane

  4. Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada

    Marek Smieja, Fiona Smaill & Dawn Elston

  5. Department of Medicine, McMaster University, Hamilton, ON, Canada

    Marek Smieja, Sandy Smith & Eva Lonn

  6. Department of Medicine, University of Toronto, Toronto, ON, Canada

    Kevin Gough

  7. Department of Medicine, University of Calgary, Calgary, AB, Canada

    John Gill

  8. Department of Cardiac Sciences and Libin Cardiovascular Institute, University of Calgary, Calgary, AB, Canada

    Todd Anderson

  9. Department of Public Health SciencesJoint United Nations Programme on HIV/AIDS (UNAIDS), University of Toronto, Toronto, ON, Canada

    Joseph Beyene

  10. Canadian HIV Vascular Study Group, Canada

    Marek Smieja, Lehana Thabane, Fiona Smaill, Kevin Gough, John Gill, Todd Anderson, Dawn Elston, Sandy Smith, Joseph Beyene & Eva Lonn

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  1. Adefowope Odueyungbo
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Correspondence to Adefowope Odueyungbo.

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Competing interests

MS has investigator-initiated grant support from Gilead Sciences and Pfizer. LT consults with GlaxoSmithKline Inc. (GSK) on statistical and other methodological issues. No other potential conflicts to report.

Authors' contributions

AO wrote data analysis plan, conducted data analysis and wrote the first draft of manuscript with inputs from MS and LT. MS is principal investigator on HIV vascular cohort study. MS, LT, FS, KG, JG, TA, DE, SS, JB, EL and AO made substantial contributions to manuscript content through subsequent drafts. MS, FS, KG, JG, TA, DE, SS and EL participated in data collection at the various centers. All authors read and approved the final manuscript.

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Odueyungbo, A., Smieja, M., Thabane, L. et al. Comparison of brachial and carotid artery ultrasound for assessing extent of subclinical atherosclerosis in HIV: a prospective cohort study. AIDS Res Ther 6, 11 (2009). https://doi.org/10.1186/1742-6405-6-11

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Keywords

AIDS Research and Therapy

ISSN: 1742-6405

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