Correction: Ferraz-Amaro et al. SCORE2 Assessment in The Calculation of Cardiovascular Risk in Patients with Rheumatoid Arthritis. Diagnostics 2021, 11, 2363.

In the original article [...].

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.

The Performance of Vascular Age in the Assessment of Cardiovascular Risk of Patients with Rheumatoid Arthritis.

Background. Cardiovascular (CV) disease risk prediction models developed for use in the general population have suboptimal performance in patients with rheumatoid arthritis (RA). Vascular age (VA) is a new concept that has been proposed as a measure of CV 'relative' risk instead of the 'absolute' risk that current prediction models provide. In the present study we aim to study the performance of vascular age (VA) in the assessment of CV risk in patients with RA. We additionally aimed to analyze its relation with subclinical atherosclerosis as measured through carotid plaque ultrasound. Methods. A total of 1173 non-diabetic RA patients without previous CV events were included. Disease characteristics, SCORE, VA determined on SCORE and on carotid intima media thickness (cIMT), and the presence of plaque through carotid ultrasound were assessed. The interrelations of VA with SCORE, and its associations with subclinical carotid atherosclerosis were studied. Results. On average, RA patients had both a SCORE determined VA (4.7 years) and a cIMT-based VA (2.4 years) significantly higher than the chronological age. When these differences were analyzed in different age intervals, while VA based on SCORE was significantly higher compared to chronological age in all age ranges, VA determined on cIMT was significantly elevated only in RA patients younger than 60 years. The area under the curve analysis for the association of SCORE and VA with the presence of carotid plaque disclosed no differences between both parameters. VA was associated with the presence of carotid plaque after multivariable regression analysis in patients younger than 60 years old. Conclusion. VA is significantly higher than chronological age in patients with RA. The performance of VA in its relation to carotid plaque is similar to that of the SCORE.

Detection of high cardiovascular risk patients with ankylosing spondylitis based on the assessment of abdominal aortic calcium as compared to carotid ultrasound.

BACKGROUND: This study aimed to determine whether, besides carotid ultrasound (US), a lateral lumbar spine radiography may also help identify ankylosing spondylitis (AS) patients at high risk of cardiovascular (CV) disease. METHODS: A set of 125 AS patients older than 35 years without a history of CV events, diabetes mellitus, or chronic kidney disease was recruited. Carotid US and lateral lumbar spine radiography were performed in all of them. The CV risk was calculated according to the total cholesterol systematic coronary risk evaluation (TC-SCORE) algorithm. Presence of carotid plaques was defined following the Mannheim Carotid Intima-media Thickness and Plaque Consensus. Abdominal aortic calcium (AAC) in a plain radiography was defined as calcific densities visible in an area parallel and anterior to the lumbar spine. RESULTS: Carotid US showed higher sensitivity than lateral lumbar spine radiography to detect high CV risk in the 54 patients with moderate TC-SCORE (61% versus 38.9%). Using carotid plaques as the gold standard test, a predictive model that included a TC-SCORE ≥ 5% or the presence of AAC in the lateral lumbar spine radiography in patients with both moderate and low CV risk (< 5%) according to the TC-SCORE yielded a sensitivity of 50.9% with a specificity of 95.7% to identify high/very high CV-risk AS patients. A positive correlation between AAC and carotid plaques was observed (r2 = 0.49, p < 0.001). CONCLUSIONS: A lateral lumbar spine radiography is a useful tool to identify patients with AS at high risk of CV disease.

Relative Risk Chart Score for the Assessment of the Cardiovascular Risk in Young Patients with Ankylosing Spondylitis.

OBJECTIVE: To determine if the use of the relative risk (RR) chart score may help to identify young ankylosing spondylitis (AS) patients at high risk of cardiovascular (CV) disease. METHODS: 73 AS patients younger than 50 years were assessed. CV risk was calculated according to the total cholesterol systematic coronary risk evaluation (TC-SCORE) and the RR chart score. C-reactive protein (CRP) value at disease diagnosis and carotid ultrasound data were also analyzed. RESULTS: Twenty (27.4%) patients exhibited carotid plaques being classified into the category of very high CV risk. None of them was found to have a high/very high TC-SCORE. CRP > 3 mg/L at disease diagnosis was associated with the presence of carotid plaques (odds ratio 5.66, p = 0.03). Whereas only 5 (14.2%) of the 35 patients with RR = 1 had carotid plaques, 15 (39.5%) of 38 with RR > 1 showed plaques. A model that included the performance of carotid US in patients with RR > 1 who had CRP > 3 mg/L allowed us to identify 60% of very high risk patients, with a specificity of 77.4%. CONCLUSIONS: RR chart score assessment may help to identify young AS patients at high risk of CV disease.

Cardiovascular risk assessment in patients with rheumatoid arthritis: The relevance of clinical, genetic and serological markers.

Cardiovascular disease (CV) is the most common cause of premature mortality in patients with rheumatoid arthritis (RA). This is the result of an accelerated atherosclerotic process. Adequate CV risk stratification has special relevance in RA to identify patients at risk of CV disease. However, current CV risk screening and management strategies underestimate the actual CV risk in RA. Consequently, the search for additional tools that may help to identify those patients at high CV risk has become a key objective in the last years. In this regard, non-invasive surrogates, such as carotid ultrasonography, have been found to be excellent predictors of future CV events. In addition, several studies have revealed the relevance of a genetic component in the development of CV disease in RA patients. Besides an association with HLA-DRB1* shared epitope alleles other gene polymorphisms located inside and outside the HLA seem to influence the risk of cardiovascular disease in RA. Moreover, serum levels of some metabolic syndrome-related biomarkers, adipokines such as adiponectin and biomarkers of endothelial cell activation and inflammation such as Osteoprotegerin and Asymmetric dimethylarginine have recently been found useful for the prediction of CV disease in these patients. An update of the current knowledge on these potential markers, especially focused on new genetic and serological biomarkers is shown in this review.