Cardiovascular Morbidity in Psoriatic Arthritis: What Is the Effect of Inflammation?

Eder, Lihi; Harvey, Paula

doi:10.3899/jrheum.170534

Cited by 4 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ankylosing spondylitis (AS) is a spondyloarthritis (SpA) that deeply affects physical function and quality of life, and comorbidities contribute to the prognosis of this disease [1]. Patients with rheumatoid arthritis (RA) and psoriatic arthritis (PsA) show an increased risk of cardiovascular disease (CVD) [2,3] and traditional CV risk algorithms perform poorly in these populations [4][5][6]. AS patients show a 20-40% increase of mortality due to CVD compared to general population [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Cardiovascular Risk Prediction in Ankylosing Spondylitis: From Traditional Scores to Machine Learning Assessment

et al. 2020

View full text Add to dashboard Cite

Introduction: The performance of seven cardiovascular (CV) risk algorithms is evaluated in a multicentric cohort of ankylosing spondylitis (AS) patients. Performance and calibration of traditional CV predictors have been compared with the novel paradigm of machine learning (ML). Methods: A retrospective analysis of prospectively collected data from an AS cohort has been performed. The primary outcome was the first CV event. The discriminatory ability of the algorithms was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC), which is like the concordancestatistic (c-statistic). Three ML techniques were considered to calculate the CV risk: support vector machine (SVM), random forest (RF), and k-nearest neighbor (KNN). Results: Of 133 AS patients enrolled, 18 had a CV event. c-statistic scores of 0.

show abstract

Section: Introductionmentioning

confidence: 99%

Cardiovascular Risk Prediction in Ankylosing Spondylitis: From Traditional Scores to Machine Learning Assessment

et al. 2020

View full text Add to dashboard Cite

show abstract

“…In axSpA, as well as in other types of inflammatory arthritis, an increased cardiovascular (CV) risk has been reported 6 , 7 ; specifically, axSpA patients show a 20–40% increase of CV mortality, when compared to general population. An increased prevalence of traditional CV risk factors, inflammation, and potential adverse effects of drugs, especially nonsteroidal anti- inflammatory drugs (NSAIDs), also contribute to CV comorbidity 8 – 11 .…”

Section: Introductionmentioning

confidence: 99%

Persistence of C-reactive protein increased levels and high disease activity are predictors of cardiovascular disease in patients with axial spondyloarthritis

Navarini

Currado

Marino

et al. 2022

Sci Rep

View full text Add to dashboard Cite

An accurate prediction of cardiovascular (CV) risk in patients with Axial Spondyloarthritis (axSpA) is a strong unmet need, as CV risk algorithms poorly perform in these subjects. The aim of this study was to establish whether the persistence of high C-reactive protein (CRP) and high disease activity may be considered predictive factors of CVD in axSpA. 295 patients without personal history of CVD, were consecutively enrolled in this study. To evaluate the relationship between CV events occurrence (fatal and non-fatal) and the persistence of increased CRP levels, ASDAS (Ankylosing Spondylitis Disease Activity Score) > 2.1, and BASDAI (Bath Ankylosing Spondylitis Disease Activity) > 4 during the follow-up, univariable and multivariable Cox Proportional Hazard Models have been performed. During follow-up (we analyzed 10-years retrospective data), 23 patients had a CV event. Multivariable Cox Proportional Hazard Models showed a strong association between CV event and the persistency of increased CRP levels (namely, percentage of visits in which CRP levels were increased) (HR = 1.03; 95%CI 1.015–1.045; p < 0.001), of ASDAS > 2.1 (HR = 1.014, 95%CI 1.000–1.028, p = 0.047), and of BASDAI > 4 (HR 1.019, 95%CI 1.006–1.033, p = 0.006) during follow-up, after adjustment for age, sex, and diabetes. This study suggests that persistence of increased CRP levels and high disease activity may be considered biomarkers to identify those axSpA patients at higher risk of CVD. Innovative axSpA-specific CV risk score, including these variables, have to be developed.

show abstract

Metabolic Syndrome and psoriatic arthritis: considerations for the clinician

Caso

Chimenti

Navarini

et al. 2020

Expert Review of Clinical Immunology

View full text Add to dashboard Cite

Cardiovascular Morbidity in Psoriatic Arthritis: What Is the Effect of Inflammation?

Cited by 4 publications

References 20 publications

Cardiovascular Risk Prediction in Ankylosing Spondylitis: From Traditional Scores to Machine Learning Assessment

Cardiovascular Risk Prediction in Ankylosing Spondylitis: From Traditional Scores to Machine Learning Assessment

Persistence of C-reactive protein increased levels and high disease activity are predictors of cardiovascular disease in patients with axial spondyloarthritis

Metabolic Syndrome and psoriatic arthritis: considerations for the clinician

Contact Info

Product

Resources

About