- Research article
- Open Access
Predictors of new atherosclerotic carotid plaque development in patients with rheumatoid arthritis: a longitudinal study
Arthritis Research & Therapy volume 14, Article number: R44 (2012)
Rheumatoid arthritis (RA) is associated with increased cardiovascular morbidity and mortality attributed to both classical risk factors and chronic inflammation. We assessed longitudinally the factors associated with new carotid plaques in nondiabetic RA patients and apparently healthy individuals.
In our present prospective observational study, carotid plaques were identified by ultrasonography at baseline and follow-up end, separated by an average of 3.6 ± 0.2 years, in 64 patients (mean age 59.2 ± 12.0 and disease duration at baseline 7.8 ± 6.2 years, 83% women, clinical and laboratory evaluation every 3 to 6 months). In a substudy, 35 of the patients were matched 1:1 for traditional cardiovascular risk factors with 'healthy' controls and were studied in parallel.
New atherosclerotic plaques formed in 30% of patients (first plaque in 9%) who were significantly older than the remaining patients. Tobacco use, blood pressure, body mass index, average cumulative low-density lipoprotein, high-sensitivity C-reactive protein, erythrocyte sedimentation rate level, RA stage, functional class, disease duration and treatment modalities during follow-up did not differ significantly between subgroups after application of the Bonferroni correction. RA was in clinical remission, on average, for approximately 70% of the follow-up time and was not different between subgroups. Multivariate analysis including all the above parameters revealed that age (P = 0.006), smoking (P = 0.009) and duration of low-dose corticosteroid use (P = 0.016) associated independently with new plaque formation. RA patients displayed similar numbers of newly formed carotid plaques to the tightly matched for traditional cardiovascular risk factors 'healthy' controls, although more patients than controls had carotid plaques at baseline.
Formation of new atherosclerotic plaques in this small cohort of patients with well-controlled RA depended mainly on traditional cardiovascular risk factors and corticosteroid use, whereas an adverse effect of residual systemic inflammation was not readily detectable.
Rheumatoid arthritis (RA) is an independent risk factor for cardiovascular disease (CVD) that is associated with at least a 1.5-fold increased risk for a fatal coronary event compared to the general population . This is based predominantly on data derived from epidemiological studies conducted during the past two or three decades, which included many RA patients diagnosed and managed before the era of aggressive, target-driven therapy with disease-modifying antirheumatic drugs (DMARDs), including biologic agents . Complementary data deriving from cross-sectional studies have shown that RA patients have evidence of advanced preclinical carotid atherosclerosis compared to healthy controls  to a magnitude similar to that observed in patients with diabetes mellitus (DM) . High-resolution B-mode ultrasonography of the carotid artery provides a noninvasive, valid and reproducible method for identifying atherosclerotic plaques, which reflect prevalent, clinical or preclinical CVD and may represent predictors of future CVD events . Notably, in RA patients without traditional CVD risk factors or events, an increased intima-media thickness (IMT) of the common carotid artery and evidence of focal plaques were each predictive of incident CVD events [6, 7].
There is an increased burden of traditional CVD risk factors in RA patients , including hypertension , dyslipidaemia , smoking , insulin resistance , obesity and/or altered body composition [13, 14] and physical inactivity , but this accounts only partly for the excess CVD mortality . Because inflammation plays a major role in the atherosclerotic process , interest has focused on the impact of the systemic inflammatory burden and chronic activation of the immune system  present in RA [19, 20]. Given the paucity of prospective data, the extent to which traditional CVD risk factors and RA-related parameters (inflammatory burden, activity and/or remission and treatment modalities) interact and/or contribute to atherosclerosis acceleration remains inconclusive . According to a recent study, both traditional CVD risk factors and markers of RA severity at baseline contribute to models predicting cardiovascular (CV) events in the subsequent 22 months .
In the present study, we assessed (1) the factors associated with the formation of at least one new carotid plaque per subject during the follow-up period in nondiabetic RA patients and (2) whether the number of newly formed plaques in these patients differs from the respective number observed in non-RA subjects carefully matched for traditional CVD risk factors.
Materials and methods
Study population and design
To address the first objective mentioned above, we used a unique prospective cohort comprising RA patients who met the American College of Rheumatology classification criteria  and participated in this observational study. This convenience sample was composed of RA patients who initially participated in the cross-sectional study (from 2006 to 2007) , who were asked consecutively to provide informed consent and were willing and available to be reassessed after 3 years. Exclusion criteria at baseline were the presence of CVD (based on positive medical history, and/or clinical examination, and/or ECG abnormalities), DM, uncontrolled hypothyroidism, renal impairment and malignancy or treatment with nonsteroidal anti-inflammatory drugs (NSAIDs). Subclinical carotid atherosclerosis was evaluated at baseline and during the fourth year after baseline (2009 to 2010). To address the second objective mentioned above, we used a cohort of apparently 'healthy' control subjects. RA patients were matched 1:1 with controls for all the traditional CV risk factors (age ± 1 year, sex, smoking habits, body mass index (BMI) ± 3 kg/m2, hypertension and/or antihypertensive drug treatment and dyslipidaemia and/or statin treatment) present not only at baseline but also at the end of follow-up. Control subjects were recruited among hospital personnel or patients' 'buddies' and underwent the same evaluations at baseline and follow-up end. Matching was possible for 35 RA-control pairs.
The study was subject to Institutional Body Review, and all subjects provided their informed consent according to the Declaration of Helsinki.
Evaluation and management of RA patients
Clinical evaluation and laboratory tests (cholesterol, low-density lipoprotein (LDL), erythrocyte sedimentation rate (ESR) and high-sensitivity C-reactive protein (hs-CRP)) were performed at baseline and at every regular follow-up visit thereafter (every 3 to 6 months), as well as at any time a patient experienced a disease flare. Rheumatoid factor (RF), functional status (class I, II, III or IV)  and progression of RA (early, moderate, severe or terminal stage)  were assessed at baseline for each patient.
At each visit, three blood pressure (BP) measurements were taken (Omron 705CP; Omron Healthcare, Inc, Lake Forest, IL, USA) in the right upper limb after 5 minutes of rest with the subject seated and the arm supported at heart level, and the average BP was used. In the absence of antihypertensive treatment, "hypertension" was defined as the presence of systolic BP (SBP) ≥ 140 mmHg and/or diastolic BP (DBP) ≥ 90 mmHg . Similarly, in the absence of lipid-lowering treatment, dyslipidaemia was defined as LDL ≥ 160 mg/dl . Periods of uncontrolled BP and periods of dyslipidaemia (in months) were recorded and summed for each patient using these cutoffs. Family history of coronary artery disease (CAD) was defined as positive if a cardiac event (fatal or nonfatal myocardial infarction or coronary angioplasty and/or coronary artery bypass surgery) had occurred before the age of 55 years in male first-degree relatives and before the age of 65 years in female first-degree relatives.
Periods of clinical remission of RA during follow-up were recorded (in months) and summed for each patient. For this purpose, remission was not defined by the Disease Activity Score in 28 joints, often used in clinical trials, which applies for a given day (joint counts) and the previous week (Visual Analogue Scale), but on the basis of at least five of the following six criteria being present for at least 2 months: (1) duration of morning stiffness < 15 minutes, (2) no fatigue, (3) no joint pain, (4) no joint tenderness and/or pain on motion, (5) no soft-tissue swelling and (6) ESR < 30 mm/hour for females or < 20 mm/hour for males . Patients were treated according to guidelines for optimal RA control (that is, disease remission) while avoiding administration of NSAIDs .
Assessment of carotid plaque
The presence of atherosclerotic plaques in the carotid arteries was determined using a 14.0-MHz multifrequency linear array probe attached to a high-resolution ultrasound machine (Vivid 7 Pro; GE Healthcare, Little Chalfont, Buckinghamshire, UK), based on the international recommendations . In each subject, the following six sites (three paired left and right segments) were used for the investigation of atherosclerotic plaques: (1) at the common carotid artery, defined as the segment 1 cm proximal to carotid dilation; (2) at the carotid bulb, defined as the segment between the carotid dilation and carotid flow divider; and (3) at the internal carotid artery, defined as a 1-cm-long arterial segment distal to the flow divider. All segments were identified in the transverse and/or longitudinal planes and scanned from multiple angles to optimize the detection of unobstructive plaques. Atherosclerotic plaques were defined at baseline or at follow-up end as focal structures at the far wall that encroached into the arterial lumen at least 0.5 mm or 50% of the surrounding IMT value or that demonstrated a thickness > 1.5 mm measured on a digitally stored image . Baseline images were reevaluated offline using Artery Measurement Software  concurrent with follow-up images to avoid interpretation bias.
Statistical analysis was performed using SPSS version 18.0 software (SPSS, Inc, Chicago, IL, USA), and significance was defined as P < 0.05 throughout. Variables were tested for normality using the Kolmogorov-Smirnov test. For each patient, the average of values obtained during the follow-up period (at least seven separate values of SBP and DBP, LDL, hs-CRP and ESR), the respective areas under the curve (AUCs) and the HeartScore  were calculated. The results are presented as means ± SD or as percentages, and non-normally distributed continuous variables are presented as median values with lower and upper quartiles.
For the first objective, patients who developed new plaques during the follow-up period were compared with those who did not by using an independent sample t-test, analysis of variance and the Mann-Whitney U test (comparison of continuous variables as appropriate), as well as the χ2 or Kendall's tau-b test (comparison of noncontinuous variables as appropriate). To find the independent predictors of new plaque formation in the totality of the RA sample, we applied binary logistic regression analysis using both enter and backward methods. The possible presence of interaction between systemic inflammation and traditional risk factors was tested by introducing into the multivariate model the product of hs-CRP with each classical CV risk factor. For the second objective, the characteristics of the matched populations at baseline and at the end of the follow-up period were compared using a paired t-test and Wilcoxon test. To compare the progression of the number of plaques within each group, we used a paired t-test and Wilcoxon test.
Characteristics of patients
As reported elsewhere , we cross-sectionally investigated 84 nondiabetic RA patients (mean age 59.2 ± 12.1 years, 70% females). For 64 of them (age 59.2 ± 12.0 years at baseline, 83% females), a prospective evaluation every 3 to 6 months was possible for 40.8 ± 3.0 months (mean ± SD). Mean disease duration at baseline was 7.8 ± 6.2 years, and 65% were RF-positive. Thirty patients (47%) had at least one carotid plaque at baseline. Hypertension, dyslipidaemia, current tobacco use and family history of CAD were present in 46%, 31%, 34% and 21% of patients, respectively. Throughout the follow-up period patients were in remission for a median of 34.1 months (20.7 to 38.4). Cumulative ESR and hs-CRP values for the entire follow-up period were, on average, 26.7 ± 13.4 mm/hour and 0.5 mg/dl (0.29 to 1.19), respectively. Myocardial infarction occurred in one male patient, and one additional male patient and one female patient underwent carotid stenting during follow-up. All three patients remained in the study, and new plaque formation in the contralateral artery was assessed.
New carotid atherosclerotic plaque formation
At follow-up end, 30% of the patients had developed at least one new carotid plaque. First plaque was noted in six (9%) of them. RA-related parameters, including duration of disease remission and treatment modalities implemented, as well as traditional CV risk factors, statin use and antihypertensive treatment in subgroups of patients stratified by the presence of new carotid plaque, are presented in Table 1. Although 13 of 28 comparisons reached statistical significance, including smoking, months of treatment with corticosteroids (between 2.5 and 10 mg prednisolone/day), cumulative number of traditional risk factors and carotid plaques at baseline (all P < 0.02), only age was significantly different between those RA patients who developed new plaque and those who did not after we applied the Bonferroni correction for multiple comparisons (P = 0.008).
Thirteen of the sixty-four RA patients were free of traditional CVD factors: hypertension, dyslipidaemia and smoking. As expected, they were significantly younger (47.9 ± 14.3 years) than the remaining patients. None of them developed new carotid plaque during follow-up, although they had disease duration at baseline comparable with the remaining patients (data not shown).
Factors associated with atherosclerotic plaque formation
We searched for parameters predictive of new carotid plaque formation by binary logistic regression analysis. Because of the limited number of RA patients who developed a new plaque, we evaluated the combined effect of traditional CV risk by introducing into the models (enter method) HeartScore together with (one at a time) RA-related parameters (RF positivity, functional class and stage of RA at baseline and biologic and nonbiologic DMARDs). HeartScore at baseline (B = 0.256, P = 0.011) and months of corticosteroid use during follow-up (B = 0.069, P = 0.013) were independent predictors of new plaque formation (r2 = 0.345). Because the subgroup of patients with new atherosclerotic plaque formation was older by 11 years than the subgroup without, however, traditional risk factors (for example, longer smoking duration) may have already had an opportunity to 'take a toll' on the arteries before RA clinically manifested. To further examine determinants of new carotid plaque formation, we matched patients from these subgroups 1:1 for age (± 3 years) and sex. Among 15 patient pairs, we found that the only determinant of new plaque formation was corticosteroid use duration (P = 0.044).
We then investigated the contribution of individual CV risk factors by multivariate analysis using both enter and backward methods (Table 2). First, traditional CV risk factors (age, sex, smoking, BP and BMI) were entered into the multivariate model (model 1). Only age and total years of smoking independently predicted new carotid plaque formation. Second, only parameters related to RA disease status (RF positivity, functional class and stage of RA at baseline, percentage in remission during follow-up, and hs-CRP) were entered into the model (model 2, data not shown in Table 2). None of these parameters predicted new carotid plaque formation. Third, in model 3, only treatment modalities (corticosteroids, biologic and nonbiologic DMARDs) were entered into the model. In the subgroup of patients who developed at least one new carotid plaque during follow-up, biologic agents were given for a median of 0.0 (0.0 to 39.3) months and comprised mainly anti-TNF agents (0.0 to 28.5 months). Cytotoxic T-lymphocyte antigen 4 immunoglobulin, IL-6R inhibitor, anakinra and rituximab were also used in isolated patients. It was found that duration of corticosteroid use was positively associated with new carotid plaque formation. In contrast, duration of biologic DMARD use was a negative independent predictor of new carotid plaque formation. Therefore, only the independent predictors from models 1, 2 and 3 (that is, age, smoking, corticosteroids and biologic agents) were entered into a final model. Age, smoking and corticosteroids remained significant and independent predictors of new plaque formation. Notably, no interaction between classical CV risk factors and hs-CRP was found in either model 1 or the final model. No significant alterations were observed after further adjustment of the final model for family history for CAD, baseline plaques or CV risk reduction drugs (statins and antihypertensive agents).
Comparable new carotid plaque formation in rheumatoid arthritis and matched controls
Thirty-five pairs of RA patients and non-RA subjects who were successfully matched 1:1 for all the traditional CV risk factors (sex, age, smoking, BMI, hypertension and dyslipidaemia) and CV risk reduction drugs, both at baseline and at follow-up end, were included in this analysis (Table 3). The RA subgroup was only in part representative of the entire cohort, because comparison with the remaining 29 patients showed significantly younger age and significantly less baseline carotid plaques. All other RA-related parameters and CV risk factors were not significantly different (data not shown). After adjustment for age, the difference in the proportion of patients with plaques at baseline (that is, 12 of 35 versus 18 of 29 (P = 0.044 before adjustment)) became nonsignificant (P = 0.325). These 35 RA patients were in remission, on average, for a median of 30.1 months (11.1 to 38.3), that is, 84.1% (26.3 to 92.4) of the follow-up period, whereas the average cumulative values throughout the follow-up for ESR and hs-CRP were 27.4 ± 13.8 mm/hour and 0.3 mg/dl (0.1 to 0.6), respectively. In total during follow-up, these patients had received 23.0 months (0.0 to 41.5) of treatment with biologic agents, 30.0 months (0.0 to 41.6) of methotrexate therapy and 37.3 months (15.1 to 42.7) of corticosteroid treatment (always < 10 mg prednisolone/day).
As shown in Figure 1, despite the fact that more patients had carotid plaques at baseline (34% versus 20%, albeit not reaching significance owing to sample size), only six RA patients developed at least one new plaque (two of them had no plaque at all at baseline) compared with five control subjects (four of them had no plaque at baseline) (relative risk = 1.20, 95% CI 0.35 to 4.27, P = 0.743). Collectively, the number of plaques per subject increased significantly in both groups during follow-up (from 0.26 ± 0.56 to 0.51 ± 0.88 plaques per subject in the control group, P < 0.001; from 0.51 ± 0.81 to 0.71 ± 1.0 plaques per subject in the RA group, P < 0.017). The change in plaques per subject between the groups was equal: 0.24 ± 0.66 versus 0.20 ± 0.47, respectively (P = 0.761).
In this prospective, longitudinal study, we examined factors leading to new carotid plaque formation in nondiabetic patients with RA without CVD at baseline. As recently reported, carotid atherosclerosis predicts future coronary events in RA, whereas those patients with carotid plaques, multiple CV risk factors (particularly DM or hypertension), many swollen joints and a high cumulative dose of glucocorticoids, as well as male RA patients, are at even higher risk . We focused on new carotid plaque formation and not on IMT progression, although both biomarkers have been associated with CV events in RA and non-RA populations and may have additive predictive value [6, 32]. Our decision to exclude IMT from the analysis was based on the fact that, though focal plaque is the direct manifestation of atherosclerosis, IMT is considered a surrogate not only of diffuse atherosclerosis but also of medial hypertrophy, unrelated to atherosclerosis, that is driven primarily by hypertension .
Our study produced three main novel findings which were consistently verified by different statistical approaches. First, in well-treated RA patients in clinical remission for more than two-thirds of the follow-up period, new carotid plaque formation was predominantly associated with traditional CVD risk factors. Second, of all RA-related parameters evaluated, only chronic corticosteroid use was independently associated with new carotid plaque formation. Third, over an average 3.5 years follow-up period, the number of new carotid plaques in the subgroup of RA patients and the tightly matched for traditional CVD risk factors non-RA subjects, was similar.
In the present study, a relatively small sample size was available, probably resulting in insufficient statistical power to detect small differences, especially at baseline, between patients with or without new plaque formation during follow-up. Another limitation is the fact that we focused solely on new plaque formation and did not assess the progression of preexisting plaques. Such assessments ideally require three-dimensional models that were not available to us, whereas the potential error that would have been introduced by the available two-dimensional models might have been too large.
Cross-sectional studies have shown that the severity of inflammatory burden in long-standing RA measured by CRP, as well as disease duration, are associated with increased preclinical atherosclerosis in patients without traditional CVD risk factors . In the present prospective study, however, we did not observe any association between new carotid plaque formation and RA disease-related parameters, including CRP and ESR levels. We think that, in a prospective study, the influence of patients' characteristics at baseline is less important than those present during the follow-up period. The lack of such an association may be explained by the low residual inflammation present in our optimally treated patient cohort during the follow-up period as well as by the relatively high burden of traditional CV risk factors in the present cohort, which constituted a typical RA population. All patients were managed according to the latest approaches of treating to target (that is, disease remission) with very frequent follow-up, rapid escalation of disease-modifying therapy and unrestricted access to biologic agents (given in 52% of patients), thus resulting in clinical remission for more than two-thirds of the follow-up time. As most recently reported in another prospective study assessing longitudinal predictors of progression of carotid atherosclerosis in RA, inflammation was indeed a contributor. However, the probability of atherosclerosis progression was minimal up to an average CRP threshold of 12 mg/L, whereas, more importantly, the average CRP (median of cumulative average during study period of 3.1 mg/L) in nondiabetic RA patients was not associated with carotid atherosclerosis progression .
The finding that the formation of new carotid plaques in patients with well-controlled RA depends mainly on traditional CVD risk factors was reproduced in the comparative cohort study. In this comparative study, patients had higher BP than controls by almost 5 mmHg, yet they developed a similar number of new plaques over a 3.5-year period. Because the younger age of patients in the RA matched population versus the remaining patients could constitute a selection bias, part of the results may not be representative and thus cannot be extrapolated to other age groups.
The findings presented herein add credence to the current European Union League Against Rheumatism guidelines on CVD risk management in RA . Because our present study was conducted before the publication of these guidelines, our patients did not receive aggressive CVD risk reduction management. Smoking, which has a higher prevalence in Greece than in other European Union countries , and age were the main factors defining the new carotid plaque formation in the present population, as expected in non-RA populations [36, 37]. This finding clearly shows the need to optimally control classical CVD risk factors in RA patients, factors which are often neglected in everyday clinical practice. Of note, no interaction between inflammation and classical CVD risk factors and no synergy between them were found. Also, we did not find any interaction between age- and RA-related parameters (inflammation or drugs) regarding their effect on new plaque formation. However, since the age at onset of RA was greater in patients who developed new plaques than in those who did not (61.2 ± 7.8 versus 47.3 ± 12.7 years of age respectively, P < 0.001), it is possible that older arteries may also respond less well to inflammatory burden and/or steroids and hence the process of atherosclerosis may be accelerated.
In contrast to the known detrimental role of high-dose corticosteroids in CVD risk, until recently there was no clear evidence for the role of a chronic low daily dose of corticosteroids in patients with inflammatory arthritis [1, 9, 10]. In general, the net effect of corticosteroids on vascular function in chronic inflammatory disease is obscure . As reported by Evans et al., higher cumulative glucocorticoid dose does confer a higher risk of acute coronary syndromes in RA . Even more recently, Giles et al. reported prospective data suggesting that subclinical carotid atherosclerosis progression in RA is potentially modified detrimentally by cumulative prednisone exposure . Our results also suggest that low doses of corticosteroids influence significant new plaque formation in RA. It should be noted, however, that these are not randomised study-derived data and may thus represent a low level of proof. Moreover, a detrimental effect of corticosteroids is a confounding factor by indication, because it could reflect higher disease activity and may be associated with RA severity .
Although biologic therapies appear to decrease the risk of CVD events in RA patients , inconsistent data have been reported in several papers on the effects of biologics, primarily TNF blockers, on carotid atherosclerosis, depending on the treatment duration and clinical efficacy of treatment [41, 42]. Whether the positive effect of these drugs is related to their anti-inflammatory actions, leading to a decreased risk of unstable plaques, rather than to an effect on the size of carotid IMT deserves further studies. In the initial multivariate analysis, we found a marginally significant beneficial effect of biologic DMARDs on the atherosclerotic process, but the significance was lost in the final model (Table 2). Other prospective observations suggest that subclinical carotid atherosclerosis progression in RA is potentially modified favourably by TNF inhibitors . Taken together, these data imply that particular treatment modalities that induce disease remission, such as corticosteroids and TNF inhibitors, may be very important or even more important than disease remission per se as far as the subclinical atherosclerosis in RA is concerned.
Formation of new atherosclerotic plaques in this small cohort of optimally treated patients with well-controlled RA depended on traditional CVD risk factors and to a lesser extent on corticosteroid use, whereas an adverse effect of the residual systemic inflammation was not readily detectable. Therefore, optimal RA management should aim to achieve not only sustained disease remission but also successful traditional CVD risk reduction, and this may have implications in terms of drug regimen selection.
area under the curve
body mass index
coronary artery disease
diastolic blood pressure
disease-modifying antirheumatic drug
erythrocyte sedimentation rate
high-sensitivity C-reactive protein
interleukin 6 receptor
nonsteroidal anti-inflammatory drug
systolic blood pressure
tumour necrosis factor.
Peters MJ, Symmons DP, McCarey D, Dijkmans BA, Nicola P, Kvien TK, McInnes IB, Haentzschel H, Gonzalez-Gay MA, Provan S, Semb A, Sidiropoulos P, Kitas G, Smulders YM, Soubrier M, Szekanecz Z, Sattar N, Nurmohamed MT: EULAR evidence-based recommendations for cardiovascular risk management in patients with rheumatoid arthritis and other forms of inflammatory arthritis. Ann Rheum Dis. 2010, 69: 325-331. 10.1136/ard.2009.113696.
Aviña-Zubieta JA, Choi HK, Sadatsafavi M, Etminan M, Esdaile JM, Lacaille D: Risk of cardiovascular mortality in patients with rheumatoid arthritis: a meta-analysis of observational studies. Arthritis Rheum. 2008, 59: 1690-1697. 10.1002/art.24092.
Roman MJ, Moeller E, Davis A, Paget SA, Crow MK, Lockshin MD, Sammaritano L, Devereux RB, Schwartz JE, Levine DM, Salmon JE: Preclinical carotid atherosclerosis in patients with rheumatoid arthritis. Ann Intern Med. 2006, 144: 249-256.
Stamatelopoulos KS, Kitas GD, Papamichael CM, Chryssohoou E, Kyrkou K, Georgiopoulos G, Protogerou A, Panoulas VF, Sandoo A, Tentolouris N, Mavrikakis M, Sfikakis PP: Atherosclerosis in rheumatoid arthritis versus diabetes: a comparative study. Arterioscler Thromb Vasc Biol. 2009, 29: 1702-1708. 10.1161/ATVBAHA.109.190108.
van der Meer IM, Bots ML, Hofman A, Iglesias del Sol A, van der Kuip DA, Witteman JC: Predictive value of noninvasive measures of atherosclerosis for incident myocardial infarction: the Rotterdam Study. Circulation. 2004, 109: 1089-1094. 10.1161/01.CIR.0000120708.59903.1B.
Gonzalez-Juanatey C, Llorca J, Martin J, Gonzalez-Gay MA: Carotid intima-media thickness predicts the development of cardiovascular events in patients with rheumatoid arthritis. Semin Arthritis Rheum. 2009, 38: 366-371. 10.1016/j.semarthrit.2008.01.012.
Evans MR, Escalante A, Battafarano DF, Freeman GL, O'Leary DH, del Rincón I: Carotid atherosclerosis predicts incident acute coronary syndromes in rheumatoid arthritis. Arthritis Rheum. 2011, 63: 1211-1120. 10.1002/art.30265.
Kitas GD, Gabriel SE: Cardiovascular disease in rheumatoid arthritis: state of the art and future perspectives. Ann Rheum Dis. 2011, 70: 8-14. 10.1136/ard.2010.142133.
Panoulas VF, Douglas KM, Milionis HJ, Stavropoulos-Kalinglou A, Nightingale P, Kita MD, Tselios AL, Metsios GS, Elisaf MS, Kitas GD: Prevalence and associations of hypertension and its control in patients with rheumatoid arthritis. Rheumatology (Oxford). 2007, 46: 1477-1482. 10.1093/rheumatology/kem169.
Toms TE, Symmons DP, Kitas GD: Dyslipidaemia in rheumatoid arthritis: the role of inflammation, drugs, lifestyle and genetic factors. Curr Vasc Pharmacol. 2010, 8: 301-326. 10.2174/157016110791112269.
Boyer JF, Gourraud PA, Cantagrel A, Davignon JL, Constantin A: Traditional cardiovascular risk factors in rheumatoid arthritis: a meta-analysis. Joint Bone Spine. 2011, 78: 179-183. 10.1016/j.jbspin.2010.07.016.
Dessein PH, Joffe BI, Stanwix AE: Inflammation, insulin resistance, and aberrant lipid metabolism as cardiovascular risk factors in rheumatoid arthritis. J Rheumatol. 2003, 30: 1403-1405.
Stavropoulos-Kalinoglou A, Metsios GS, Koutedakis Y, Kitas GD: Obesity in rheumatoid arthritis. Rheumatology (Oxford). 2011, 50: 450-462. 10.1093/rheumatology/keq266.
Summers GD, Metsios GS, Stavropoulos-Kalinoglou A, Kitas GD: Rheumatoid cachexia and cardiovascular disease. Nat Rev Rheumatol. 2010, 6: 445-451. 10.1038/nrrheum.2010.105.
Metsios GS, Stavropoulos-Kalinoglou A, Panoulas VF, Wilson M, Nevill AM, Koutedakis Y, Kitas GD: Association of physical inactivity with increased cardiovascular risk in patients with rheumatoid arthritis. Eur J Cardiovasc Prev Rehabil. 2009, 16: 188-194. 10.1097/HJR.0b013e3283271ceb.
del Rincón ID, Williams K, Stern MP, Freeman GL, Escalante A: High incidence of cardiovascular events in a rheumatoid arthritis cohort not explained by traditional cardiac risk factors. Arthritis Rheum. 2001, 44: 2737-2745. 10.1002/1529-0131(200112)44:12<2737::AID-ART460>3.0.CO;2-#.
Libby P: Inflammation in atherosclerosis. Nature. 2002, 420: 868-874. 10.1038/nature01323.
Veldhuijzen van Zanten JJ, Kitas GD: Inflammation, carotid intima-media thickness and atherosclerosis in rheumatoid arthritis. Arthritis Res Ther. 2008, 10: 102-10.1186/ar2345.
Sattar N, McCarey DW, Capell H, McInnes IB: Explaining how "high-grade" systemic inflammation accelerates vascular risk in rheumatoid arthritis. Circulation. 2003, 108: 2957-2963. 10.1161/01.CIR.0000099844.31524.05.
Gonzalez-Gay MA, Gonzalez-Juanatey C, Martin J: Rheumatoid arthritis: a disease associated with accelerated atherogenesis. Semin Arthritis Rheum. 2005, 35: 8-17. 10.1016/j.semarthrit.2005.03.004.
Kitas GD, Gabriel SE: Cardiovascular disease in rheumatoid arthritis: state of the art and future perspectives. Ann Rheum Dis. 2011, 70: 8-14. 10.1136/ard.2010.142133.
Solomon DH, Kremer J, Curtis JR, Hochberg MC, Reed G, Tsao P, Farkouh ME, Setoguchi S, Greenberg JD: Explaining the cardiovascular risk associated with rheumatoid arthritis: traditional risk factors versus markers of rheumatoid arthritis severity. Ann Rheum Dis. 2010, 69: 1920-1925. 10.1136/ard.2009.122226.
Arnett FC, Edworthy SM, Bloch DA, McShane DJ, Fries JF, Cooper NS, Healey LA, Kaplan SR, Liang MH, Luthra HS, Medsger TA, Mitchell DM, Neustadt DH, Pinals RS, Schaller JG, Sharp JT, Wilder RL, Hunder GG: The American Rheumatism Association 1987 revised criteria for the classification of rheumatoid arthritis. Arthritis Rheum. 1988, 31: 315-324. 10.1002/art.1780310302.
Hochberg MC, Chang RW, Dwosh I, Lindsey S, Pincus T, Wolfe F: The American College of Rheumatology 1991 revised criteria for the classification of global functional status in rheumatoid arthritis. Arthritis Rheum. 1992, 35: 498-502. 10.1002/art.1780350502.
Steinbrocker O, Traeger CH, Batterman RC: Therapeutic criteria in rheumatoid arthritis. JAMA. 1949, 140: 659-662. 10.1001/jama.1949.02900430001001.
National Cholesterol Education Program (NCEP) Expert Panel on Detection and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III): Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation. 2002, 106: 3143-3421.
Pinals RS, Baum J, Bland J, Fosdick WM, Kaplan SB, Masi AT, Mitchell DM, Ropes MW, Short CL, Sigler JW, Weinberger HJ: Preliminary criteria for clinical remission in rheumatoid arthritis. Bull Rheum Dis. 1982, 32: 7-10.
Amer M, Bead VR, Bathon J, Blumenthal RS, Edwards DN: Use of nonsteroidal anti-inflammatory drugs in patients with cardiovascular disease: a cautionary tale. Cardiol Rev. 2010, 18: 204-212. 10.1097/CRD.0b013e3181ce1521.
Touboul PJ, Hennerici MG, Meairs S, Adams H, Amarenco P, Bornstein N, Csiba L, Desvarieux M, Ebrahim S, Fatar M, Hernandez Hernandez R, Jaff M, Kownator S, Prati P, Rundek T, Sitzer M, Schminke U, Tardif JC, Taylor A, Vicaut E, Woo KS, Zannad F, Zureik M: Mannheim carotid intima-media thickness consensus (2004-2006): an update on behalf of the Advisory Board of the 3rd and 4th Watching the Risk Symposium, 13th and 15th European Stroke Conferences, Mannheim, Germany, 2004, and Brussels, Belgium, 2006. Cerebrovasc Dis. 2007, 23: 75-80. 10.1159/000097034.
Wendelhag I, Liang Q, Gustavsson T, Wikstrand J: A new automated computerized analyzing system simplifies readings and reduces the variability in ultrasound measurement of intima-media thickness. Stroke. 1997, 28: 2195-2200. 10.1161/01.STR.28.11.2195.
Greece HeartScore. [http://www.heartscore.org/greece/Pages/Welcome.aspx]
Roman MJ, Kizer JR, Best LG, Lee ET, Howard BV, Shara NM, Devereux RB: Vascular biomarkers in the prediction of clinical cardiovascular disease: the Strong Heart Study. Hypertension. 2012, 59: 29-35. 10.1161/HYPERTENSIONAHA.111.181925.
Sandoo A, Veldhuijzen van Zanten JJ, Metsios GS, Carroll D, Kitas GD: Vascular function and morphology in rheumatoid arthritis: a systematic review. Rheumatology (Oxford). 2011, 50: 2125-2139. 10.1093/rheumatology/ker275.
Giles JT, Post WS, Blumenthal RS, Polak J, Petri M, Gelber AC, Szklo M, Bathon JM: Longitudinal predictors of progression of carotid atherosclerosis in rheumatoid arthritis. Arthritis Rheum. 2011, 63: 3216-3225. 10.1002/art.30542.
Martínez-Sánchez JM, Fernández E, Fu M, Gallus S, Martínez C, Sureda X, La Vecchia C, Clancy L: Smoking behaviour, involuntary smoking, attitudes towards smoke-free legislations, and tobacco control activities in the European Union. PLoS One. 2010, 5: e13881-10.1371/journal.pone.0013881.
Giannoukas AD, Sfyroeras GS, Griffin M, Saleptsis V, Nicolaides AN: Association of plaque echostructure and cardiovascular risk factors with symptomatic carotid artery disease. J Cardiovasc Surg (Torino). 2010, 51: 245-251.
Redgrave JN, Lovett JK, Rothwell PM: Histological features of symptomatic carotid plaques in relation to age and smoking: the Oxford Plaque Study. Stroke. 2010, 41: 2288-2294. 10.1161/STROKEAHA.110.587006.
Protogerou AD, Sfikakis PP, Stamatelopoulos KS, Papamichael C, Aznaouridis K, Karatzis E, Papaioannou TG, Ikonomidis I, Kaklamanis P, Mavrikakis M, Lekakis J: Interrelated modulation of endothelial function in Behçet's disease by clinical activity and corticosteroid treatment. Arthritis Res Ther. 2007, 9: R90-10.1186/ar2289.
Caplan L, Wolfe F, Russell AS, Michaud K: Corticosteroid use in rheumatoid arthritis: prevalence, predictors, correlates, and outcomes. J Rheumatol. 2007, 34: 696-705.
Greenberg JD, Kremer JM, Curtis JR, Hochberg MC, Reed G, Tsao P, Farkouh ME, Nasir A, Setoguchi S, Solomon DH, CORRONA Investigators: Tumour necrosis factor antagonist use and associated risk reduction of cardiovascular events among patients with rheumatoid arthritis. Ann Rheum Dis. 2011, 70: 576-582. 10.1136/ard.2010.129916.
Gonzalez-Juanatey C, Llorca J, Garcia-Porrua C, Martin J, Gonzalez-Gay MA: Effect of anti-tumor necrosis factor α therapy on the progression of the subclinical atherosclerosis in severe rheumatoid arthritis. Arthritis Rheum. 2006, 55: 150-153. 10.1002/art.21707.
Del Porto F, Laganà B, Lai S, Nofroni I, Tinti F, Vitale M, Podestà E, Mitterhofer AP, D'Amelio R: Response to anti-tumour necrosis factor α blockade is associated with reduction of carotid intima-media thickness in patients with active rheumatoid arthritis. Rheumatology (Oxford). 2007, 46: 1111-1115. 10.1093/rheumatology/kem089.
This study was funded in part by the Hellenic Society for Rheumatology.
The authors declare that they have no competing interests.
EZ acquired ultrasound data, reevaluated the baseline images offline, analysed the data and drafted the manuscript. AP analysed the data and helped with statistical analysis and drafting the manuscript. KS reevaluated the baseline images offline and analysed the data. KF and CGK were responsible for patient follow-up. KK acquired ultrasound data and reevaluated the baseline images offline. CMP acquired ultrasound data. MM helped in drafting the manuscript. PN was responsible for the statistical analysis. GDK helped with data analysis and interpretation and the drafting of the manuscript. PPS conceived and supervised the study and drafted the manuscript. All authors read and approved the final version of the manuscript.
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Zampeli, E., Protogerou, A., Stamatelopoulos, K. et al. Predictors of new atherosclerotic carotid plaque development in patients with rheumatoid arthritis: a longitudinal study. Arthritis Res Ther 14, R44 (2012). https://doi.org/10.1186/ar3757
- Rheumatoid Arthritis
- Rheumatoid Arthritis Patient
- Plaque Formation
- Carotid Plaque
- Carotid Atherosclerosis