Abstract

BackgroundCommon carotid artery intima-media thickness (CIMT), as measured by ultrasound, has utility in stratification of the accelerated cardiovascular risk seen in rheumatoid arthritis (RA); however, the technique has limitations. Carotid magnetic resonance imaging (MRI) is emerging as a useful research tool in the general population, but has yet to be applied in RA populations. Our objectives were to describe the utility of carotid artery MRI (carotid-MRI) in patients with RA in comparison to healthy controls and to describe the association with RA disease phenotype.MethodsSixty-four patients with RA and no history of cardiovascular (CV) disease/diabetes mellitus were assessed for RA and CV profile, including homeostasis model assessment-estimated insulin resistance (HOMA-IR) and N-terminal pro-brain natriuretic peptide (NT-proBNP). All underwent carotid-MRI (3 T), and were compared to 24 healthy controls. Univariable analysis (UVA) and multivariable linear regression models (MVA) were used to determine associations between disease phenotype and carotid-MRI measures.ResultsThere were no significant differences in carotid arterial wall measurements between patients with RA and controls. Wall and luminal volume correlated with 10-year CV risk scores (adjusted as per 2017 European League Against Rheumatism (EULAR) guidance); rho = 0.33 (p = 0.012) and rho = 0.35 (p = 0.008), respectively, for Joint British Societies-2 risk score. In UVA, carotid-MRI volumetric measures predominantly were associated with traditional CV risk factors including age, ever-smoking and HOMA-IR (p < 0.05). Lower body mass index was associated with wall maximum thickness (r = − 0.25 p = 0.026). In MVA, age was independently associated with wall volume (B 1.13 (95% CI 0.32, 1.93), p = 0.007) and luminal volume (B 3.69 (95% CI 0.55, 6.83, p = 0.022), and RA disease duration was associated with luminal volume (B 3.88 (95% CI 0.80, 6.97), p = 0.015).ConclusionsThis study demonstrates the utility of carotid-MRI in RA, reporting an association between three-dimensional measures in particular and CV risk scores, individual traditional CV risk factors and RA disease duration. Carotid-MRI in RA is a promising research tool in the investigation of CVD.

Highlights

  • Surrogate measures of cardiovascular disease (CVD) in the general population have been applied to patients with rheumatoid arthritis (RA) to investigate their accelerated cardiovascular (CV) risk

  • This study demonstrates the utility of carotid-magnetic resonance imaging (MRI) in RA, reporting an association between threedimensional measures in particular and CV risk scores, individual traditional CV risk factors and RA disease duration

  • Study participant characteristics Of 69 patients with RA and 25 healthy controls that underwent a carotid-MRI scan, 64 with RA and 24 controls had images available to analyse; 4 data sets were of poor quality and 2 were missing due to image processing errors

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Summary

Introduction

Surrogate measures of cardiovascular disease (CVD) in the general population have been applied to patients with rheumatoid arthritis (RA) to investigate their accelerated cardiovascular (CV) risk. Common carotid artery intima-media thickness (CIMT) is one of the best validated surrogate measures of CVD, predicting future CV events in the general population [1]. Carotid magnetic resonance imaging (carotid-MRI) provides alternative imaging of the carotid artery, with MRI-measured mean wall thickness (MWT), correlating well with US-measured CIMT [6,7,8,9]. Carotid-MRI measurements are associated with future CV events in the general population [11], but have yet to be measured in RA populations. Common carotid artery intima-media thickness (CIMT), as measured by ultrasound, has utility in stratification of the accelerated cardiovascular risk seen in rheumatoid arthritis (RA); the technique has limitations. Our objectives were to describe the utility of carotid artery MRI (carotid-MRI) in patients with RA in comparison to healthy controls and to describe the association with RA disease phenotype

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