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

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About: Cardiovascular risk assessment in patients with rheumatoid arthritis using carotid ultrasound B-mode imaging Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Cardiovascular risk assessment in patients with rheumatoid arthritis using carotid ultrasound B-mode imaging
Creator	Khanna, N Luca, · Petros, · Sfikakis, P Pareek, Gyan Amer, · Athanasios Protogerou, · Viswanathan, Vijay Deep Gupta, · George, · Jamthikar, Ankush Jasjit, · Johri, M Kitas, D Kolluri, · Laird, John Mavrogeni, Sophie Miner, Martin Narendra, · Puvvula, Anudeep Rathore, Vijay Sharma, Aditya Suri, S
Source	Medline; PMC
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.
has issue date	2020-08-28(xsd:dateTime)
bibo:doi	10.1007/s00296-020-04691-5
bibo:pmid	32857281
has license	no-cc
sha1sum (hex)	9c8b652b179753db0cc67074ab97f1318a9c61d4
schema:url	https://doi.org/10.1007/s00296-020-04691-5
resource representing a document's title	Cardiovascular risk assessment in patients with rheumatoid arthritis using carotid ultrasound B-mode imaging
has PubMed Central identifier	PMC7453675
has PubMed identifier	32857281
schema:publication	Rheumatol Int
resource representing a document's body	covid:9c8b652b179753db0cc67074ab97f1318a9c61d4#body_text
is schema:about of	named entity 'affect' named entity 'CVD' named entity 'atherosclerotic cardiovascular disease' named entity 'phenomenon' named entity 'EXPERIENCE' named entity 'UNDERSTAND' named entity 'RECENTLY' named entity 'ARTICLES' named entity 'CONCLUDE' named entity 'ASSOCIATED WITH' named entity 'CHRONIC INFLAMMATORY DISEASE' named entity 'CLEAR' named entity 'CVD' named entity 'USING' named entity 'HEART INJURY' named entity 'RISK ASSESSMENT' named entity '28A' named entity 'MANIFESTATIONS' named entity 'ROLE' named entity 'SCIENCE' named entity 'BASED' named entity 'CVD' named entity 'adapted' named entity 'terms' named entity 'CVD' named entity 'pathophysiological' named entity 'patients' named entity 'There' named entity 'CVD' named entity 'healthcare' named entity 'link' named entity 'investigate' named entity 'extensively' named entity 'risk assessment' named entity 'risk assessment' named entity 'carotid ultrasound' named entity 'pathophysiological' named entity 'Web of Science' named entity 'risk assessment' named entity 'Inflammation' named entity 'pathophysiological' named entity 'synovial joints' named entity 'atherosclerotic cardiovascular disease' named entity 'risk assessment' named entity 'inflammatory disease' named entity 'strategy' named entity 'risk assessment' named entity 'CVD' named entity 'lipid' named entity 'risk assessment' named entity 'cyclooxygenase-1' named entity 'Framingham' named entity 'Apo B' named entity 'common carotid artery' named entity '1, 2' named entity 'kidneys' named entity 'disease-modifying antirheumatic drugs' named entity 'convolutional neural networks' named entity 'TNF-α'

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