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dc.contributor.authorKlisic, Aleksandra
dc.contributor.authorKotur-Stevuljevic, Jelena
dc.contributor.authorCüre, Osman
dc.contributor.authorKızılkaya, Bayram
dc.contributor.authorÇeliker, Fatma Beyazal
dc.contributor.authorEr, Hüseyin
dc.contributor.authorMercantepe, Filiz
dc.date.accessioned2024-11-06T07:33:01Z
dc.date.available2024-11-06T07:33:01Z
dc.date.issued2024en_US
dc.identifier.citationKlisic, A., Kotur-Stevuljevic, J., Cure, O., Kizilkaya, B., Beyazal Celiker, F., Er, H., & Mercantepe, F. (2024). Cardiovascular Risk in Patients with Ankylosing Spondylitis. Journal of Clinical Medicine, 13(20), 6064. https://doi.org/10.3390/jcm13206064en_US
dc.identifier.issn2077-0383
dc.identifier.urihttps://doi.org/10.3390/jcm13206064
dc.identifier.urihttps://hdl.handle.net/11436/9720
dc.description.abstractObjectives: Ankylosing spondylitis (AS) is an autoinflammatory, chronic disease. Patients with AS are at increased risk of cardiovascular disease (CVD). The link between AS and subclinical atherosclerosis is multifactorial and still not completely understood. The aim of this study was to examine the potential associations between carotid intima–media thickness (cIMT) and different cardiometabolic biomarkers in individuals with AS. Methods: A total of 96 patients with AS were prospectively included. cIMT was measured via ultrasonography. Multiple linear regression analysis was used to find the best predictors of cIMT values. Principal component analysis (PCA) was implemented to extract factors that were further tested via binary logistic regression analysis in relation to cIMT. Results: Waist circumference (WC), low-density lipoprotein cholesterol (LDL-c), and the BASDAI score were independently correlated with cIMT in AS patients (p = 0.037, p = 0.060, and p = 0.048, respectively; adjusted R2 = 0.113). PCA extracted four panels of biomarkers, i.e., “haematology–lipid-related factor” (i.e., ferritin, haemoglobin, HDL-c, and triglycerides), “proinflammatory–prothrombotic-related factor” (i.e., platelets, neutrophils, and C-reactive protein), “LDL-c–vitamin-related factor” (i.e., vitamins D and B12, and LDL-c), and “age–glucometabolic-related factor” (i.e., age and HbA1c), in relation to higher cIMT in patients with AS. Among these four clusters, “age–glucometabolic-related factor” was an independent predictor of increased cIMT (p < 0.001). Conclusions: In addition to traditional cardiometabolic risk factors, WC and LDL-c, the disease activity score (BASDAI) is independently related to subclinical atherosclerosis in AS patients. The joint involvement of heterogeneous cardiometabolic risk factors may reflect different pathophysiological processes of subclinical atherosclerosis in patients with AS.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAnkylosing spondylitisen_US
dc.subjectBASDAI scoreen_US
dc.subjectCardiometabolic risk factorsen_US
dc.subjectcIMTen_US
dc.subjectPrincipal component analysisen_US
dc.titleCardiovascular risk in patients with ankylosing spondylitisen_US
dc.typearticleen_US
dc.contributor.departmentRTEÜ, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümüen_US
dc.contributor.institutionauthorCüre, Osman
dc.contributor.institutionauthorKızılkaya, Bayram
dc.contributor.institutionauthorÇeliker, Fatma Beyazal
dc.contributor.institutionauthorEr, Hüseyin
dc.contributor.institutionauthorMercantepe, Filiz
dc.identifier.doi10.3390/jcm13206064en_US
dc.identifier.volume13en_US
dc.identifier.issue20en_US
dc.identifier.startpage6064en_US
dc.relation.journalJournal of Clinical Medicineen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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