Carotid plaques as predictors of cardiovascular events in patients with Rheumatoid Arthritis. Results from a 5-year-prospective follow-up study

Angiopoietin-2, vascular endothelial growth factor family, and heparin binding endothelial growth factor are associated with subclinical atherosclerosis in rheumatoid arthritis

Introduction

Patients with RA are at a higher risk of developing CV diseases than the general population. The precise mechanisms are still unknown. We evaluated the associations between 8 plasma growth factors (GFs) (angiopoietin-2, EGF, HB-EGF, PLGF, TGF-α, VEGFa, VEGFc, and VEGFd) and subclinical arteriosclerosis in RA patients.

Materials and methods

A total of 199 patients with RA treated at the Hospital Universitari Sant Joan de Reus (Spain) between 2011 and 2015 were included in this cross-sectional study. Carotid intima media thickness (cIMT), carotid plaque presence (cPP) and pulse wave velocity (PWV) were measured. GFs were measured with Bio-Plex Pro Human Cancer Biomarker Panel 2 (Bio-Rad). Multivariate models and partial least square discriminant analysis (PLS-DA) were used for analysis (RStudio, version 4.0.1).

Results

Multivariate models showed that angiopoietin-2 was associated with cPP and PWV in the overall cohort (OR = 1.53 and β = 0.20, respectively). VEGFc (β = 0.29), VEGFa (β = 0.26) and HB-EGF (β = 0.22) were also associated with PWV. VEGFa (OR = 2.36), VEGFd (OR = 2.29), EGF (OR = 2.62), PLGF (OR = 2.54), and HB-EGF (OR = 2.24) were associated with cPP in men. According to PLS-DA, GFs were able to distinguish between patients with and without cPP in the overall cohort, male cohort, and female cohort. In women, angiopoietin-2 was associated with PWV (β = 0.18).

Conclusions

The selected GFs were closely related to atherosclerosis in patients with RA and are potential predictors of CV disease in patients with RA.

Combined use of QRISK3 and SCORE2 increases identification of ankylosing spondylitis patients at high cardiovascular risk: Results from the CARMA Project cohort after 7.5 years of follow-up

OBJECTIVE

To establish the predictive value of the QRESEARCH risk estimator version 3 (QRISK3) algorithm in identifying Spanish patients with ankylosing spondylitis (AS) at high risk of cardiovascular (CV) events and CV mortality. We also sought to determine whether to combine QRISK3 with another CV risk algorithm: the traditional SCORE, the modified SCORE (mSCORE) EULAR 2015/2016 or the SCORE2 may increase the identification of AS patients with high-risk CV disease.

METHODS

Information of 684 patients with AS from the Spanish prospective CARdiovascular in ReuMAtology (CARMA) project who at the time of the initial visit had no history of CV events and were followed in rheumatology outpatient clinics of tertiary centers for 7.5 years was reviewed. The risk chart algorithms were retrospectively tested using baseline data.

RESULTS

After 4,907 years of follow-up, 33 AS patients had experienced CV events. Linearized rate=6.73 per 1000 person-years (95 % CI: 4.63, 9.44). The four CV risk scales were strongly correlated. QRISK3 correctly discriminated between people with lower and higher CV risk, although the percentage of accumulated events over 7.5 years was clearly lower than expected according to the risk established by QRISK3. Also, mSCORE EULAR 2015/2016 showed the same discrimination ability as SCORE, although the percentage of predicted events was clearly higher than the percentage of actual events. SCORE2 also had a strong discrimination capacity according to CV risk. Combining QRISK3 with any other scale improved the model. This was especially true for the combination of QRISK3 and SCORE2 which achieved the lowest AIC (406.70) and BIC (415.66), so this combination would be the best predictive model.

CONCLUSIONS

In patients from the Spanish CARMA project, the four algorithms tested accurately discriminated those AS patients with higher CV risk and those with lower CV risk. Moreover, a model that includes QRISK3 and SCORE2 combined the best discrimination ability of QRISK3 with the best calibration of SCORE2.

Use of risk chart algorithms for the identification of psoriatic arthritis patients at high risk for cardiovascular disease: findings derived from the project CARMA cohort after a 7.5-year follow-up period

OBJECTIVE

To assess the predictive value of four cardiovascular (CV) risk algorithms for identifying high-risk psoriatic arthritis (PsA) patients.

METHODS

Evaluation of patients with PsA enrolled in the Spanish prospective project CARdiovascular in RheuMAtology. Baseline data of 669 PsA patients with no history of CV events at the baseline visit, who were followed in rheumatology outpatient clinics at tertiary centres for 7.5 years, were retrospectively analysed to test the performance of the Systematic Coronary Risk Assessment (SCORE), the modified version (mSCORE) European Alliance of Rheumatology Associations (EULAR) 2015/2016, the SCORE2 algorithm (the updated and improved version of SCORE) and the QRESEARCH risk estimator version 3 (QRISK3).

RESULTS

Over 4790 years of follow-up, there were 34 CV events, resulting in a linearised rate of 7.10 per 1000 person-years (95% CI 4.92 to 9.92). The four CV risk scales showed strong correlations and all showed significant associations with CV events (p<0.001). SCORE, mSCORE EULAR 2015/2016 and QRISK3 effectively differentiated between low and high CV risk patients, although the cumulative rate of CV events observed over 7.5 years was lower than expected based on the frequency predicted by these risk scales. Additionally, model improvement was observed when combining QRISK3 with any other scale, particularly the combination of QRISK3 and SCORE2, which yielded the lowest Akaike information criterion (411.15) and Bayesian information criterion (420.10), making it the best predictive model.

CONCLUSIONS

Risk chart algorithms are very useful for discriminating PsA at low and high CV risk. An integrated model featuring QRISK3 and SCORE2 yielded the optimal synergy of QRISK3's discrimination ability and SCORE2's calibration accuracy.

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.

The Ratio of Monocytes to HDL-Cholesterol Is Associated with Cardiovascular Risk and Insulin Resistance in Patients with Rheumatoid Arthritis

The monocytes to high-density lipoprotein (HDL)-cholesterol ratio (MHR) indicates inflammation based on the anti-inflammatory properties of HDL-cholesterol as well as the pro-inflammatory effect of monocytes. Several studies have investigated MHR in various disorders, specifically in cardiovascular diseases. Consequently, MHR has been significantly associated with cardiovascular and all-cause mortality in the general population, regardless of established risk factors. However, its role in the augmented risk of cardiovascular disease found in rheumatoid arthritis (RA) has not been studied to date. This is a cross-sectional study that encompassed 430 patients with RA and 208 controls matched by sex and age. Complete blood cell count and complete lipid profile were evaluated. Multivariable analysis was made to analyze the relationship between MHR and RA disease and features subclinical carotid atherosclerosis, and traditional CV factors including insulin resistance and beta cell function indices. MHR values did not differ between controls and patients after multivariable adjustment (12 ± 6 vs. 11 ± 6, p = 0.18). No relationship between this ratio and the characteristics of the disease was found excluding ESR, which showed a significant and positive association with MHR after adjustment for covariates. MHR significantly correlated with Systematic Coronary Risk Evaluation-2 (SCORE2) cardiovascular risk algorithm, and insulin resistance and beta cell function parameters after adjustment. In conclusion, MHR does not differ between patients with RA and controls. The relationship of this biomarker with disease-related data is poor. However, MHR is highly and positively related to cardiovascular risk and insulin resistance in RA.

Five-year cardiovascular event risk in early rheumatoid arthritis patients who received treat-to-target management: a case-control study

OBJECTIVES

This study explored whether the excess cardiovascular (CV) disease (CVD) risk in RA could be ameliorated by suppression of inflammation using a treat-to-target (T2T) approach. We compared the CV event (CVE) incidence among ERA patients managed by a T2T strategy with a CV risk factor-matched non-RA population and a historical RA cohort (HRA).

METHODS

This was an observational study using the city-wide hospital data and the ERA registry. ERA patients received T2T management while HRA patients received routine care. Each ERA/HRA patient was matched to three non-RA controls according to age, gender and CV risk factors. Patients on antiplatelet/anticoagulant agents, with pre-existing CVD, chronic kidney disease or other autoimmune diseases were excluded. All subjects were followed for up to 5 years. The primary end point was the first occurrence of a CVE.

RESULTS

The incidence of CVE in the ERA cohort (n = 261) and ERA controls were similar with a hazard ratio of 0.53 (95% CI 0.15, 1.79). In contrast, the incidence of CVE in the HRA cohort (n = 268) was significantly higher than that of the HRA controls with a hazard ratio of 1.9 (95% CI 1.16, 3.13). The incidence of CVE in the ERA cohort was significantly lower than that of the HRA cohort and the difference became insignificant after adjusting for inflammation, the use of methotrexate and traditional CV risk factors.

CONCLUSION

ERA patients managed by a T2T strategy did not develop excess CVE compared with CV risk factor-matched controls over 5 years.

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.

Subclinical Carotid Atherosclerosis in Patients with Rheumatoid Arthritis at Low Cardiovascular Risk

OBJECTIVE

To evaluate the rate of subclinical carotid atherosclerosis and clinical significance of immunoinflammatory markers in patients with rheumatoid arthritis (RA) at low cardiovascular risk.

MATERIALS AND METHODS

The study included 275 RA patients and a control group of 100 participants without autoimmune diseases. All study participants were at low cardiovascular risk, calculated by the QRISK3 scale (<20%), and free of cardiovascular disease. Ultrasound examination of carotid arteries was performed to measure cIMT and to detect atherosclerotic plaques (ASP) in carotid arteries. sIСАМ-1, sVСАМ, and sCD40L levels were determined by enzyme immunoassay.

RESULTS

Carotid ASP was observed more frequently in RA patients (27%) than in the control group (17%), p = 0.03. The frequency of ASP in RA patients did not depend on the disease's stage or activity. There was a significant correlation between cIMT and age, cardiovascular risk determined by QRISK3, level of total cholesterol, LDL, and blood pressure in RA patients, p < 0.05 in all cases. No correlation between cIMT and blood levels of sCD40L, sVCAM, and sICAM was found. In RA patients, a higher concentration of sVCAM was detected in the carotid ASP group compared to the non-atherosclerotic group. sCD40L was associated with cIMT and total cholesterol in the ASP group and with total cholesterol and blood pressure in non-atherosclerotic patients.

CONCLUSIONS

Subclinical atherosclerotic lesions of the carotid arteries were observed significantly more frequently in RA patients with low cardiovascular risk than in the control group. The results of the study demonstrate the association between cIMT, traditional cardiovascular risk factors, and immunoinflammatory markers in RA patients.

Diagnosis and management of cardiovascular risk in rheumatoid arthritis: main challenges and research agenda

INTRODUCTION

Rheumatoid arthritis (RA) exhibit a cardiovascular (CV) risk that is 1.5-2.0 times higher compared to the general population. This CV risk excess is likely caused by the involvement of chronic inflammation and immune dysregulation. Therefore, conventional algorithms and imaging techniques fail to fully account for this risk excess and provide a suboptimal risk stratification, hence limiting clinical management in this setting.

AREAS COVERED

Compelling evidence has suggested a role for adaptations of conventional algorithms (Framingham, SCORE, AHA, etc) or the development of RA-specific algorithms, as well as the use of a number of several, noninvasive imaging techniques to improve CV risk assessment in RA populations. Similarly, in-depth analyses of atherosclerosis pathogenesis in RA patients have shed new light into a plethora of soluble biomarkers (such as inflammatory cytokines, vascular remodeling mediators or autoantibodies) that may provide incremental value for CV risk stratification.

EXPERT OPINION

Extensive research has demonstrated a lack of performance of chart adaptations in capturing real CV risk in RA population, as well as for RA-specific algorithms. Similarly, limitations have been detected in the use of soluble mediators. The development of a novel, RA-specific algorithm including classical and non-traditional risk factors may be advisable.

Cardiovascular Risk Assessment in Rheumatoid Arthritis: Accelerated Atherosclerosis, New Biomarkers, and the Effects of Biological Therapy

Rheumatoid arthritis (RA), one of the most common of the chronic inflammatory autoimmune diseases (CIADs), is recognized as an independent cardiovascular risk factor. Traditional risk factors such as smoking, arterial hypertension, dyslipidemia, insulin resistance, and obesity are frequently found in RA. Given the increased risk of mortality and morbidity associated with cardiovascular disease (CVD) in RA patients, screening for risk factors is important. Moreover, there is a need to identify potential predictors of subclinical atherosclerosis. Recent studies have shown that markers such as serum homocysteine, asymmetric dimethylarginine, or carotid intima-media thickness (cIMT) are correlated with cardiovascular risk. Although RA presents a cardiovascular risk comparable to that of diabetes, it is not managed as well in terms of acute cardiovascular events. The introduction of biological therapy has opened new perspectives in the understanding of this pathology, confirming the involvement and importance of the inflammatory markers, cytokines, and the immune system. In addition to effects in inducing remission and slowing disease progression, most biologics have demonstrated efficacy in reducing the risk of major cardiovascular events. Some studies have also been conducted in patients without RA, with similar results. However, early detection of atherosclerosis and the use of targeted therapies are the cornerstone for reducing cardiovascular risk in RA patients.

Presence of tophi and carotid plaque were risk factors of MACE in subclinical artherosclerosis patients with gout: a longitudinal cohort study

Background

Patients with gout carry an excess risk for cardiovascular disease (CVD), but the contribution of subclinical atherosclerosis to the CVD risk has never been reported. In this study, we aimed to explore the predictive factors for incident major adverse cardiovascular events (MACE) in gout patients without a previous history of CVD or cerebral vascular disease.

Methods

A single-center, long-term follow-up cohort analysis was performed to assess subclinical atherosclerosis at baseline since 2008. Patients with a previous history of CVD or cerebrovascular disease were excluded. The outcome of the study was the first MACE. The presence of subclinical atherosclerosis was assessed by carotid plaque (CP), and carotid intima-media thickness (CMIT) was determined by ultrasound. An ultrasound scan of bilateral feet and ankles was performed at baseline. The association between tophi, carotid atherosclerosis, and the risk of developing incident MACE was evaluated using Cox proportional hazards models with adjustment for the CVD risk scores.

Results

A total of 240 consecutive patients with primary gout were recruited. Their mean age was 44.0 years, with male predominance (238, 99.2%). During a median follow-up of 10.3 years, incident MACE was ascertained in 28 (11.7%) patients. In a Cox hazards model, controlling for the CV risk scores, the presence of at least two tophi (HR, 2.12-5.25, p < 0.05) and carotid plaque (HR, 3.72-4.01, p < 0.05) were identified as independent predictors of incident MACE in gout patients.

Conclusions

The presence of at least two tophi and carotid plaque on an ultrasound could independently predict MACE in addition to conventional cardiovascular risk factors in gout patients.

A panel of plasma microRNAs improves the assessment of surrogate markers of cardiovascular disease in rheumatoid arthritis patients

OBJECTIVE

Patients with rheumatoid arthritis (RA) present increased risk of cardiovascular (CV) disease compared with the general population. Moreover, CV risk factors that have causal relationship with atherosclerosis do not seem to fully explain the accelerated process that they exhibit. We evaluated the association of a 10 microRNAs panel with surrogate markers of subclinical arteriosclerosis (carotid intima media thickness (cIMT), carotid plaque presence (cPP), pulse wave velocity (PWV) and distensibility) in a cohort of RA patients.

METHODS

199 patients with RA were included. Surrogate markers of arteriosclerosis were measured with My Lab 60 X-Vision sonographer. MicroRNAs were extracted from plasma and quantified with qPCR. Multivariate models and classification methods were performed.

RESULTS

Multivariate models showed that microRNAs-24 (β  =  15.48), 125a (β  =  9.93), 132 (β  =  11.52), 146 (β  =  15.12), 191 (β  =  13.25) and 223 (β  =  13.30) were associated with cIMT globally. MicroRNA-24 (OR = 0.41), 146 (OR = 0.36) and Let7a (OR = 0.23) were associated with cPP in men. Including the microRNAs in a PLS-DA model properly classified men with and without cPP. MicroRNA-96 (β = -0.28) was associated with PWV in male patients. Finally, several miRNAs were also associated with cIMT, cPP and arterial stiffness in the high DAS28 group and in the earlier tertile groups of disease duration.

CONCLUSION

Plasmatic expression of microRNA-24, 96, 103, 125a, 132, 146, 191, 223 and Let7a were associated with surrogate markers of CV disease and could be predictors of CV risk in patients with RA.

Interleukin 1 receptor antagonist relation to cardiovascular disease risk in patients with rheumatoid arthritis

Interleukin (IL) 1, and its family member, IL-1 receptor antagonist (IL-1ra), are involved in the pathogenesis and inflammation perpetuation of patients with rheumatoid arthritis (RA). Besides, IL-1 has been linked to an increased risk and greater severity of cardiovascular (CV) disease. We aimed to study if IL-1ra is related to the CV manifestations—including lipid pattern and insulin resistance or subclinical atherosclerosis—that accompanies the disease in a large series of patients with RA. Cross-sectional study that encompassed 430 patients with RA. Serum IL-1ra levels were assessed. A multivariable analysis was performed to analyze the relation of IL-1ra to subclinical carotid atherosclerosis, and to traditional CV factors including a complete lipid molecules profile and insulin resistance or beta cell function indices. Body mass index, abdominal circumference, and the presence of obesity were significantly and positively associated with circulating IL-1ra. Similarly, erythrocyte sedimentation rate, and disease activity scores were significantly related to higher IL-1ra serum levels after adjustment for confounders. Neither carotid intima-media thickness nor the presence of carotid plaque were associated with serum levels of IL-1ra. However, after multivariable analysis circulating IL-1ra was independently and positively associated with higher serum levels of total cholesterol, triglycerides, and apolipoproteins B and C-III. Similarly, IL-1ra was related to higher levels of beta-cell function in the univariable analysis, although, in this case, significance was lost after adjustment. Among patients with RA, IL-1ra is associated with both disease activity and several traditional CV risk factors such as obesity and the presence of higher lipid levels. Our findings suggest that IL-1ra can represent a link between the inflammation and the CV disease risk that are present in patients with RA.

Endothelial dysfunction and increased carotid intima-media thickness in patients with spondyloarthritis without traditional cardiovascular risk factors

Background

The aim of our study was to assess subclinical atherosclerosis in spondyloarthritis (SpA) by combining three ultrasound methods (flow-mediated dilation (FMD), carotid intima–media thickness (cIMT) and Ankle Brachial Index (ABI)) and to determine the predictive factors of theses parameters.

Methods

This was a case control study conducted over 12 months including 47 patients with SpA-free-cardiovascular (CV) disease in comparison with age and sex matched 47 healthy controls. Sociodemographic, clinical and biological features as well as therapeutic modalities were recorded in our patients. All subjects had Doppler ultrasound with measurement of cIMT, FMD and ABI. Ultrasound measurements were compared between patients and controls. Linear regression was performed and assessed by machine learning to determine the predictive models of markers of subclinical atherosclerosis.

Results

We found higher cIMT (p<0.0001), lower FMD (p=0.008) and higher left ABI (0.048) in patients with SpA compared with controls. cIMT was positively correlated to patient-related parameters (age, systolic blood pressure) and disease parameters (age at onset of SpA, disease duration and renal involvement). Biologically, cIMT was positively correlated with creatinine, blood-glocose, total cholesterol (CT) and CT/cholesterol-high density lipoprotein ratio. FMD was negatively correlated with male gender, age, systolic blood pressure, creatinine, blood glucose and Left Lequesne Index. ABI was significantly associated with diastolic blood pressure. Multiple regression analysis identified age, CT and creatinine as independents predictive factors for increased cIMT. Regarding endothelial dysfunction, blood glucose and Left Lequesne Index were the independents predictive factors of decreased FMD.

Conclusion

Our study supported the accelerated subclinical atherosclerosis in patients with SpA. This subclinical atherosclerosis was mainly mediated by traditional CV risk factors.

The angiopoietin-like protein 4, apolipoprotein C3, and lipoprotein lipase axis is disrupted in patients with rheumatoid arthritis

Background

Modulators of triglyceride metabolism include lipoprotein lipase (LPL), angiopoietin-like protein 4 (ANGPTL4), and apolipoprotein C-3 (ApoC3). There is evidence on the influence of this triangle of molecules on an increased risk of atherosclerotic cardiovascular disease (CV) in the general population. Patients with rheumatoid arthritis (RA) present changes in lipid profiles and accelerated CV disease. In the present study, we set out to study whether the ANGPTL4, ApoC3, and LPL axis differs in subjects with RA compared to controls. In a further step, we investigated the relationship of this axis with subclinical atherosclerosis in patients with RA.

Methods

Cross-sectional study that included 569 individuals, 323 patients with RA and 246 age-matched controls. ANGPTL4, ApoC3 and LPL, and standard lipid profiles were analyzed in patients and controls. Carotid intima-media thickness (cIMT) and carotid plaques were assessed in RA patients. A multivariable analysis was performed to assess whether the ANGPTL4, ApoC3, and LPL axis was altered in RA and to study its relationship with RA dyslipidemia and subclinical carotid atherosclerosis.

Results

Most lipid profile molecules did not differ between patients and controls. Despite this, and after fully multivariable analysis including CV risk factors, use of statins, and changes in the lipid profile caused by the disease itself, patients with RA showed higher serum levels of ANGPTL4 (beta coef. 295 [95% CI 213–376] ng/ml, p<0.001) and ApoC3 (beta coef. 2.9 [95% CI 1.7–4.0] mg/dl, p<0.001), but lower circulating LPL (beta coef. −174 [95% CI −213 to −135] ng/ml, p<0.001). ANGPTL4 serum levels were positively and independently associated with a higher cIMT in patients with RA after fully multivariable adjustment.

Conclusion

The axis consisting in ANGPTL4, ApoC3, and LPL is disrupted in patients with RA. ANGPTL4 serum levels are positively and independently associated with a higher cIMT in RA patients.

SCORE2 versus SCORE in patients with systemic lupus erythematosus

Introduction:

Systemic lupus erythematosus (SLE) has been associated with an increased risk of cardiovascular (CV) disease. Recently, the Systematic Coronary Risk Assessment (SCORE), a well-known CV risk algorithm, has been updated to a new predictive model (SCORE2). This new algorithm improves the identification of individuals at high risk of developing CV disease across Europe. Since carotid atherosclerosis is a predictor of future CV events and CV death, our objective was to compare the predictive capacity of SCORE2 versus SCORE for the presence of subclinical carotid atherosclerosis in patients with SLE.

Methods:

Two hundred and thirty-five individuals over 40 years of age diagnosed with SLE were consecutively recruited in this cross-sectional study. SCORE and SCORE2 were calculated. The relationship of SCORE and SCORE2 with each other, and with the presence of subclinical carotid atherosclerosis (both carotid plaque and carotid intima media thickness -cIMT-), was studied.

Results:

SCORE2 and SCORE did not correlate with each other (Spearman’s Rho = 0.125, p = 0.065). Although SCORE did not correlate with cIMT (Spearman’s Rho = -0.022, p = 0.75), the correlation of SCORE2 with cIMT was statistically significant (Spearman’s Rho = 0.367, p < 0.001). Similarly, SCORE did not show significant discrimination for the presence of carotid plaque [AUC = 0.521 (95% CI = 0.443–0.600)], while SCORE2 did [AUC = 0.720 (95% CI = 0.656–0.785)]. The difference between AUCs was found to be statistically significant (p < 0.001), thus showing that the prediction capacity of SCORE2 was significantly higher than that of SCORE.

Conclusion:

In SLE patients, the ability of SCORE2 to predict the presence of subclinical atherosclerosis is higher than that of SCORE. According to our results, SCORE2, rather than SCORE, should be used in the CV risk stratification of patients with SLE. Prospective studies are needed to confirm these findings.

Association of primary Sjögren’s syndrome with incident heart failure: a secondary analysis of health claims data in Taiwan

Objective:

Mounting evidence has demonstrated that various chronic inflammatory diseases are associated with incident heart failure (HF). However, there is scarce evidence about the association between primary Sjögren’s syndrome (pSS) and HF. We aimed to explore this association using a nationwide database in Taiwan.

Methods:

We selected patients with incident pSS and no history of HF. Using propensity score matching based on age, sex, cohort entry time, comorbidities, and concomitant medications, cohorts of patients with and without pSS (as controls) were created in a 1:1 ratio and the groups were compared. The cumulative incidence of HF was calculated using Kaplan–Meier estimation. Cox proportional hazard regression analysis was used to measure the hazard ratio (HR) of HF-related hospitalization for the pSS cohort compared with the comparison group.

Results:

A total of 16,466 pairs of patients with pSS and those without pSS were identified. The cumulative incidence of HF-related hospitalization at 3, 5, and 10 years in patients with pSS was 1.05%, 1.89%, and 4.33%, respectively. The risk of HF-related hospitalization was not higher in patients with pSS than in the general population (HR: 0.98, 95% confidence interval [CI]: 0.84–1.14). There was no difference in survival probability after the first episode of HF-related hospitalization between pSS and non-pSS groups.

Conclusion:

Our results suggest that distinct inflammatory spectrums in each chronic inflammatory disease might have differential impacts on cardiac function and subsequent risk of HF. Future studies are needed to elucidate the complex and diverse mechanisms of HF in various chronic autoimmune diseases.

Estimated 10-year cardiovascular risk in a large Italian cohort of rheumatoid arthritis patients: Data from the Cardiovascular Obesity and Rheumatic DISease (CORDIS) Study Group

BACKGROUND

Several cardiovascular (CV) risk algorithms are available to predict CV events in the general population. However, their performance in patients with rheumatoid arthritis (RA) might differ from the general population. This cross-sectional multicentre study aimed to estimate the 10-year CV risk using two different algorithms in a large RA cohort and in patients with osteoarthritis (OA).

METHODS

In a consecutive series of RA patients and matched OA controls without prior CV events, clinical and serologic data and traditional CV risk factors were recorded. The 10-year CV risk was assessed with the Systematic COronary Risk Evaluation (SCORE) and the "Progetto Cuore" algorithms.

RESULTS

1,467 RA patients and 342 OA subjects were included. RA patients were more frequently diabetic (9.9% vs 6.4%; p=0.04) and smokers (20.4% vs 12.5%; p=0.002) but had lower prevalence of obesity (15% vs 21%; p=0.003). Dyslipidaemia was more prevalent in OA (32.5% vs 21.7%; p<0.0001). The 10-year estimated CV risk was 1.6% (95%CI 1.3-1.9) in RA and 1.4% (95%CI 1.3-1.6) in OA (p=0.002) according to SCORE and 6.5% (95%CI 6.1-6.9) in RA and 4.4% (95%CI 3.9-5.1) in OA (p<0.001) according to "Progetto Cuore". Regardless of the score used, RA patients had a 3- to-4-fold increased 10-year risk of CV events compared to OA subjects.

CONCLUSION

RA patients have a significantly higher 10-year risk of CV events than OA subjects. In addition to effective disease control and joint damage prevention, specific protective measures targeting modifiable traditional CV risk factors should be implemented in RA.

SCORE2 Assessment in the Calculation of Cardiovascular Risk in Patients with Rheumatoid Arthritis

Patients with rheumatoid arthritis (RA) are at increased risk for cardiovascular disease (CVD). Risk chart algorithms, such as the Systematic Coronary Risk Assessment (SCORE), often underestimate the risk of CVD in patients with RA. In this sense, the use of noninvasive tools, such as the carotid ultrasound, has made it possible to identify RA patients at high risk of CVD who had subclinical atherosclerosis disease and who had been included in the low or moderate CVD risk categories when the SCORE risk tables were applied. The 2003 SCORE calculator was recently updated to a new prediction model: SCORE2. This new algorithm improves the identification of individuals from the general population at high risk of developing CVD in Europe. Our objective was to compare the predictive capacity between the original SCORE and the new SCORE2 to identify RA patients with subclinical atherosclerosis and, consequently, high risk of CVD. 1168 non-diabetic patients with RA and age > 40 years were recruited. Subclinical atherosclerosis was searched for by carotid ultrasound. The presence of carotid plaque and the carotid intima media wall thickness (cIMT) were evaluated. SCORE and SCORE2 were also calculated. The relationships of SCORE and SCORE2 to each other and to the presence of subclinical carotid atherosclerosis were studied. The correlation between SCORE and SCORE2 was found to be high in patients with RA (Spearman’s Rho = 0.961, p < 0.001). Both SCORE (Spearman’s Rho = 0.524) and SCORE2 (Spearman’s Rho = 0.521) were similarly correlated with cIMT (p = 0.92). Likewise, both calculators showed significant and comparable discriminations for the presence of carotid plaque: SCORE AUC 0.781 (95%CI 0.755–0.807) and SCORE2 AUC 0.774 (95%CI 0.748–0.801). Using SCORE, 80% and 20% of the patients were in the low or moderate and high or very high CVD risk categories, respectively. However, when the same categories were evaluated using SCORE2, the percentages were different (58% and 42%, respectively). Consequently, the number of RA patients included in the high or very high CVD risk categories was significantly higher with SCORE2 compared to the original SCORE. (p < 0.001). In conclusion, although predictive capacity for the presence of carotid plaque is equivalent between SCORE and SCORE2, SCORE2 identifies a significantly higher proportion of patients with RA who are at high or very high risk of CVD.

Moderate and High Disease Activity Predicts the Development of Carotid Plaque in Rheumatoid Arthritis Patients without Classic Cardiovascular Risk Factors: Six Years Follow-Up Study

Patients with rheumatoid arthritis (RA) have a higher incidence of subclinical atherosclerosis and cardiovascular (CV) disease. It is postulated that the appearance of accelerated atherosclerosis in these patients is a consequence of the inflammation present in the disease. In this study, we aim to determine if baseline disease activity in patients with RA predicts the future development of carotid plaque. A set of consecutive RA patients without a history of CV events, cancer or chronic kidney disease, who did not show carotid plaque in a carotid ultrasound assessment, were prospectively followed up for at least 5 years. At the time of recruitment, CV risk factors and disease-related data, including disease activity scores, were assessed. At the end of the follow-up, a carotid ultrasound was repeated and patients were divided into two groups; those who developed carotid plaque, and those who did not. A multivariable regression analysis was performed to define the predictors for the development of carotid plaque. One hundred and sixty patients with RA were followed up for an average of 6 ± 1 years. After this time, 66 (41%) of the patients had developed carotid plaque, and 94 (59%) did not. Patients with carotid plaque were significantly older (47 ± 13 vs. 55 ± 9 years, p < 0.001) at baseline, were more frequently diabetic (0% vs. 6%, p = 0.028), and had higher total cholesterol (197 ± 36 vs. 214 ± 40 mg/dL, p = 0.004) and LDL cholesterol (114 ± 35 vs. 126 ± 35 mg/dL, p = 0.037) at the beginning of the study. After multivariable adjustment, patients who were in the moderate and high disease activity (DAS28-CRP) categories displayed a higher odds ratio for the appearance of carotid plaque (OR 2.26 [95% CI 1.02-5.00], p = 0.044) compared to those in the DAS-28-CRP remission category. Remarkably, when patients were divided in patients within the low-risk SCORE category, and patients included in the remaining SCORE categories (moderate, high and very high), the relation between DAS28-CRP and the development of carotid plaque was only significant in the low-risk SCORE category. In conclusion, disease activity predicts the future development of subclinical atherosclerosis in patients with RA.

QRISK3 Performance in the Assessment of Cardiovascular Risk in Patients with Inflammatory Bowel Disease

Inflammatory bowel disease (IBD) has been described as an independent risk factor for the development of cardiovascular (CV) disease. Since the QRESEARCH risk estimator version 3 (QRISK3) calculator was recently proposed to assess CV in the general population, our objective was to compare the predictive ability of QRISK3 with that of a well-established European CV risk calculator, the Systematic Coronary Risk Assessment (SCORE), to identify the presence of subclinical carotid atherosclerosis in patients with IBD. In all, 186 patients with IBD and 178 controls were recruited. The presence of subclinical atherosclerosis was evaluated by carotid ultrasound to identify carotid plaque and the thickness of the carotid intima-media (cIMT). QRISK3 and SCORE were calculated. The relationship of QRISK3 and SCORE with each other and with the presence of subclinical carotid atherosclerosis (both carotid plaque and cIMT) was studied in patients and controls. SCORE (0.2 (interquartile range 0.1–0.9) vs. 0.4 (0.1–1.4), p = 0.55) and QRISK3 1.7 ((0.6–4.6) vs. 3.0 (1.0–7.8), p = 0.16) absolute values did not differ between patients and controls. QRISK3 and SCORE correlated equally with cIMT within both populations. However, SCORE correlation with cIMT was found to be significantly lower in patients with IBD when compared to controls (Spearman’s Rho 0.715 vs. 0.587, p = 0.034). Discrimination analysis of both calculators with carotid plaque was similar within both populations. Nevertheless, in patients with IBD, QRISK3 showed a trend toward a higher discrimination (QRISK3 area under the curve 0.812 (95%CI 0.748–0.875) vs. SCORE 0.790 (95%CI 0.723–0.856), p = 0.051). In conclusion, QRISK3 discrimination for subclinical atherosclerosis is optimal and equivalent to that of SCORE in IBD patients. However, our findings highlight the role of QRISK3 as an appropriate tool for the assessment of CV risk in patients with IBD.

The Predictive Value of Carotid Ultrasonography With Cardiovascular Risk Factors-A "SPIDER" Promoting Atherosclerosis

Insufficient recommendations do not support the clinical use of carotid ultrasonography for further risk stratification in moderate-to-high risk patients with cardiovascular disease (CVD). A literature review was performed to assess six aspects of the research progress and limitations of carotid ultrasonography and carotid atherosclerosis-related risk factors: (1) structures of the carotid intima and media; (2) plaques; (3) inflammation; (4) dynamics of carotid blood flow; (5) early detection and intervention; and (6) risk factors for CVD. Although carotid intima-media thickness and carotid plaques are well-acknowledged independent predictors of CVD risk, normative and cut-off values are difficult to define due to the heterogeneous measurements reported in previous studies. Plaque properties, including location, number, density, and size, become more important risk predictors for cardiovascular disease, but a better approach for clinical use needs to be further established. Three-dimensional ultrasound and contrast-enhanced ultrasound are promising for promoting risk stratification with more details on plaque morphology. Moreover, inflammatory diseases and biomarkers should be evaluated for a full assessment of the inflammatory burden for atherosclerosis. Carotid flow velocity is not only an indicator for stenosis but also a potential risk predictor. Carotid atherosclerosis should be detected and treated early, and additional clinical trials are needed to determine the efficacy of these measures in reducing CVD risk. Cardiovascular risk factors tend to affect carotid plaques, and early treat-to-target therapy might yield clinical benefits. Based on the aforementioned six aspects, we consider that these six important factors act like a “SPIDER” spinning the web of atherosclerosis; a timely comprehensive assessment and intervention may halt the progression to CVD. Carotid ultrasound results should be combined with other atherosclerotic factors, and a comprehensive risk assessment may help to guide cardiovascular prevention decisions.

Accelerated atherosclerosis in premenopausal women with rheumatoid arthritis - 15-year follow-up

Rheumatoid arthritis (RA) is a chronic inflammatory disease associated with increased mortality and morbidity due to the higher cardiovascular risk in these patients. Traditional risk factors are not the only answer for the accelerated atherosclerosis. In a long-term prospective study, we investigated the relationship between asymptomatic atherosclerosis and traditional risk factors and inflammatory markers in patients with RA and matched healthy controls. We studied the laboratory test results, the concentrations of inflammatory mediators, matrix metalloproteases (MMP), and inflammation markers in a total of 70 (60 at follow-up) premenopausal healthy women with RA and 40 (34 at follow-up) matched controls. We used the B-mode ultrasound imaging of carotid arteries for the detection of asymptomatic atherosclerosis. Correlation with different factors was evaluated. Statistically significant higher values of inflammatory markers such as selective adhesion molecules ICAM and VCAM, interleukin 6 (IL-6), tumor necrosis factor alpha (TNF-alpha), and MMP-3 in the patients group were found in the follow-up study. More plaques were found in the patients group (42.4% vs. 12.9%; p=0.005), as compared with the controls group. The patients had also higher values of cIMT (p=0.001). Using bivariate regression analysis only VCAM was found as a prognostic factor for plaque occurrence (r= 0. 341, p=0.016), but not for cIMT (r= -0.130, p=0.327) in premenopausal female patients with RA after the follow-up. Therefore, asymptomatic atherosclerosis is accelerated in premenopausal women with RA. The results of our follow-up study showed the association between inflammation and accelerated atherosclerosis. Furthermore, VCAM was found to have a statistically significant correlation with plaque occurrence in these patients.

QRISK3 Relation to Carotid Plaque is Higher than that of SCORE In Patients with Systemic Lupus Erythematosus

INTRODUCTION

Systemic lupus erythematosus (SLE) has been described as an independent risk factor for the development of cardiovascular (CV) disease. Recently, the QRESEARCH risk estimator version 3 (QRISK3) calculator has been launched for CV risk assessment in the general population. QRISK3 now includes the presence of SLE as one of its variables for calculating CV risk. Our objective was to compare the predictive capacity between QRISK3 and the Systematic Coronary Risk Assessment (SCORE) for the presence of subclinical carotid atherosclerosis in patients with SLE.

METHODS

296 patients with SLE were recruited. The presence of subclinical atherosclerosis was evaluated by carotid ultrasound to identify carotid plaque and the thickness of the carotid intima media (cIMT). QRISK3 and SCORE were calculated. The relationship of QRISK3 and SCORE with each other and with the presence of subclinical carotid atherosclerosis (both carotid plaque and cIMT) was studied.

RESULTS

There was no correlation between SCORE and QRISK3 in patients with SLE (Rho Spearman r= -0.008, p= 0.90). Although QRISK3 showed a statistically significant correlation with cIMT (Rho Spearman r = 0.420, p= 0.000), this relationship was not found between SCORE and cIMT (Rho Spearman r= -0.005, p= 0.93). The discrimination capacity of QRISK3 for the presence of carotid plaque was statistically significant and superior to that of SCORE (AUC 0.765 [95% CI 0.711-0.820] vs 0.561 [95% CI 0.494-0.629], p= 0.000).

CONCLUSION

QRISK3 discrimination for subclinical atherosclerosis is higher than that of SCORE. QRISK3, and not SCORE, should be used for the calculation of CV risk in patients with SLE.

Combined use of QRISK3 and SCORE as predictors of carotid plaques in patients with rheumatoid arthritis

OBJECTIVE

Because carotid plaques predict the development of cardiovascular events in RA, we aimed to assess if the combined use of the systematic coronary risk evaluation (SCORE) and the QRISK3 algorithms allows for the identification of RA patients with carotid plaques in a defined population-based RA inception cohort.

METHODS

A set of consecutive RA patients without a history of diabetes, chronic kidney disease or cardiovascular events were studied by carotid US between 2012 and 2019. Modified SCORE (mSCORE) for RA based on the 2015/2016 updated EULAR recommendations and QRISK3 algorithms were retrospectively tested using baseline data obtained at the time of the carotid US assessment.

RESULTS

A total of 466 (54%) of 865 patients had carotid plaques. Using dichotomized QRISK3 and EULAR mSCORE, 73.2% (95% CI: 68.4.8, 77.6) of patients with QRISK ≥ 10% and EULAR mSCORE < 5% had plaque. In this group, the diagnostic odds ratio was 5.79 (95% CI: 4.14, 8.10). However, if both algorithms were above their thresholds of high cardiovascular risk (QRISK ≥ 10% and EULAR mSCORE ≥ 5%), the sensitivity increased up to 83.3% (95% CI: 72.1, 91.4) and the diagnostic odds ratio up to 10.6 (95% CI: 5.13, 22.0). When the risk charts scales were used as continuous variables, both QRISK3 and EULAR mSCORE were found positively associated with plaque. For each 1% QRISK3 or EULAR mSCORE increase, the probability of having plaques multiplied by 1.14 and 1.22, respectively. However, the effects of both algorithms did not multiply by each other.

CONCLUSIONS

. The combined use of QRISK3 and EULAR mSCORE allows for the identification of most RA patients at high risk of carotid plaques.

Disease activity influences the reclassification of rheumatoid arthritis into very high cardiovascular risk

BACKGROUND

Previous studies have shown that risk chart algorithms, such as the Systematic Coronary Risk Assessment (SCORE), often underestimate the actual cardiovascular (CV) risk of patients with rheumatoid arthritis (RA). In contrast, carotid ultrasound was found to be useful to identify RA patients at high CV. In the present study, we aimed to determine if specific disease features influence the CV risk reclassification of RA patients assessed by SCORE risk charts and carotid ultrasound.

METHODS

1279 RA patients without previous CV events, diabetes, or chronic kidney disease were studied. Disease characteristics including disease activity scores, CV comorbidity, SCORE calculation, and the presence of carotid plaque by carotid ultrasound were assessed. A multivariable regression analysis was performed to evaluate if the reclassification into very high CV risk category was independently associated with specific features of the disease including disease activity. Additionally, a prediction model for reclassification was constructed in RA patients.

RESULTS

After carotid ultrasound assessments, 54% of the patients had carotid plaque and consequently fulfilled definition for very high CV risk. Disease activity was statistically significantly associated with reclassification after fully multivariable analysis. A predictive model containing the presence of dyslipidemia and hypertension, an age exceeding 54 years, and a DAS28-ESR score equal or higher than 2.6 yielded the highest discrimination for reclassification.

CONCLUSION

Reclassification into very high CV risk after carotid ultrasound assessment occurs in more than the half of patients with RA. This reclassification can be independently explained by the activity of the disease.

Application of cardiovascular risk scales to identify carotid atherosclerosis in patients with rheumatoid arthritis

Aim. To evaluate the cardiovascular risk (CVR) and analyze its relationship with detection of early carotid artery atherosclerotic lesion in patients with rheumatoid arthritis (RA). Materials and methods. One hundred and nine RA patients aged 45 to 60 without established cardiovascular diseases (CVD) were included in the study. The median age was 52 [48; 54] years, duration of RA was 120 [36; 204] months, DAS28 was 4.7 [3.5; 5.6] points. CVD risk was calculated with mSCORE, Reynolds Risk Score (RRS), ASSIGN, QRISK3, ERS-RA scales and Carotid Artery Doppler Ultrasound Exam was performed for all patients. Results. High risk was found in 5, 5, 14, 6, and 38% of patients according to mSCORE, RRS, ASSIGN, QRISK3, ERS-RA scales, respectively. Atherosclerotic plaques of carotid arteries were found in 30% of patients. It was found that carotid intima-media thickness is correlated to all CVR calculators, age, systolic and diastolic blood pressure, cholesterol, erythrocyte sedimentation rate, interleukin-6 levels. The sensitivity and specificity of the CVR algorithms in prognostication of atherosclerotic carotid artery lesions were 73 and 67% for mSCORE, 64 and 63% for RRS, 64 and 56% for ASSIGN, 73 and 49% for QRISK3, respectively, p0.05 in all cases, 67 and 50% for ERS-RA, p=0.06. Conclusion. RRS, mSCORE, ASSIGN, QRISK3 calculators equally predict atherosclerotic carotid artery damage in RA patients. The optimal ratio of specificity and sensitivity is shown for the mSCORE scale. Stratification of CVR in RA patients should include assessment of the carotid intima-media thickness. To identify CVR in RA patients, the most informative methods are mSCORE calculation and carotid intima-media thickness determination.