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Rheumatology International
Published in: Rheumatology International 12/2020

01-12-2020 | Ultrasound | Review

Cardiovascular risk assessment in patients with rheumatoid arthritis using carotid ultrasound B-mode imaging

Authors: Ankush D. Jamthikar, Deep Gupta, Anudeep Puvvula, Amer M. Johri, Narendra N. Khanna, Luca Saba, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanasios Protogerou, George D. Kitas, Raghu Kolluri, Aditya M. Sharma, Vijay Viswanathan, Vijay S. Rathore, Jasjit S. Suri

Published in: Rheumatology International | Issue 12/2020

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Abstract

Rheumatoid arthritis (RA) is a systemic chronic inflammatory disease that affects synovial joints and has various extra-articular manifestations, including atherosclerotic cardiovascular disease (CVD). Patients with RA experience a higher risk of CVD, leading to increased morbidity and mortality. Inflammation is a common phenomenon in RA and CVD. The pathophysiological association between these diseases is still not clear, and, thus, the risk assessment and detection of CVD in such patients is of clinical importance. Recently, artificial intelligence (AI) has gained prominence in advancing healthcare and, therefore, may further help to investigate the RA-CVD association. There are three aims of this review: (1) to summarize the three pathophysiological pathways that link RA to CVD; (2) to identify several traditional and carotid ultrasound image-based CVD risk calculators useful for RA patients, and (3) to understand the role of artificial intelligence in CVD risk assessment in RA patients. Our search strategy involves extensively searches in PubMed and Web of Science databases using search terms associated with CVD risk assessment in RA patients. A total of 120 peer-reviewed articles were screened for this review. We conclude that (a) two of the three pathways directly affect the atherosclerotic process, leading to heart injury, (b) carotid ultrasound image-based calculators have shown superior performance compared with conventional calculators, and (c) AI-based technologies in CVD risk assessment in RA patients are aggressively being adapted for routine practice of RA patients.
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Metadata
Title
Cardiovascular risk assessment in patients with rheumatoid arthritis using carotid ultrasound B-mode imaging
Authors
Ankush D. Jamthikar
Deep Gupta
Anudeep Puvvula
Amer M. Johri
Narendra N. Khanna
Luca Saba
Sophie Mavrogeni
John R. Laird
Gyan Pareek
Martin Miner
Petros P. Sfikakis
Athanasios Protogerou
George D. Kitas
Raghu Kolluri
Aditya M. Sharma
Vijay Viswanathan
Vijay S. Rathore
Jasjit S. Suri
Publication date
01-12-2020
Publisher
Springer Berlin Heidelberg
Published in
Rheumatology International / Issue 12/2020
Print ISSN: 0172-8172
Electronic ISSN: 1437-160X
DOI
https://doi.org/10.1007/s00296-020-04691-5

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