Evidence map›Paper›PMID 41904550›Full record

ArticleArthritis research & therapy2026

Color Doppler carotid resistance, pulsatility, and aortic oscillometry indices in giant cell arteritis: insights from the VASCARD cohort.

Konstantinos Triantafyllias, Anna-Lena Zang, Andreas V Goules, Elena K Joerns, Muthuraman Muthuraman, Andreas Schwarting

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Article in Arthritis research & therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Konstantinos TriantafylliasDepartment of Internal Medicine I, Division of Rheumatology and Clinical Immunology, Johannes Gutenberg University Medical Center, Mainz, Germany.
Anna-Lena ZangDepartment of Internal Medicine I, Division of Rheumatology and Clinical Immunology, Johannes Gutenberg University Medical Center, Mainz, Germany.
Andreas V GoulesDepartment of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
Elena K JoernsDivision of Rheumatology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Muthuraman MuthuramanDepartment of Neurology, University Hospital Würzburg, Würzburg, Germany.
Andreas SchwartingDepartment of Internal Medicine I, Division of Rheumatology and Clinical Immunology, Johannes Gutenberg University Medical Center, Mainz, Germany. schwarting@uni-mainz.de.ORCID http://orcid.org/0000-0002-0566-598X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo assess a combination of novel color Doppler ultrasound (CDUS), greyscale ultrasound (GSUS), and oscillometric indices of macroangiopathy and (CV) risk in patients with giant cell arteritis (GCA). Additionally, to explore the relationships between these imaging markers and both patient-specific and disease-related characteristics, as well as traditional CV risk factors.

methodsCDUS was performed to evaluate arterial compliance markers, specifically the resistance (RI) and pulsatility (PI) indices, in both the common (CCA) and internal carotid artery (ICA) of GCA patients and healthy controls. GSUS examinations were conducted to measure carotid intima-media-thickness (cIMT), identify plaques, and quantify cumulative carotid calcification surface. Oscillometry was utilized to determine aortic stiffness via carotid-femoral pulse-wave velocity (cfPWV).

resultsSixty-six GCA patients and 93 healthy subjects were included. Patients showed significantly higher cfPWV (padj <0.001), cIMT (padj =0.037), CCA-PI (padj =0.009), CCA-RI (padj=0.019), and plaque-area (p < 0.001) compared with controls. cfPWV correlated with traditional CV risk factors, like age (rho = 0.330, p < 0.009), mean-arterial-pressure (rho = 0.257, p = 0.044), and cholesterol (rho = 0.318, p = 0.017). CCA-PI and -RI were lower in patients receiving immunosuppressive therapy [1.5 (1.33–2.04) vs. 1.95 (1.72–2.29); 0.74 (0.68–0.82) vs. 0.80 (0.76–0.85), both; p < 0.05], and CCA-RI was predicted by erythrocyte-sedimentation-rate (rho = 0.343, p = 0.044). cIMT correlated with age (r = 0.619, p < 0.001) and plaque area (rho = 0.305, p = 0.047).

conclusionGCA patients demonstrated increased carotid pulsatility, resistance, atherosclerosis, and aortic stiffness compared to controls. Moreover, key predictors of impaired CV and cerebrovascular surrogates were identified. The combined assessment of CDUS and GSUS could provide a more thorough evaluation of the arterial tree, thereby enhancing the overall assessment of macroangiopathy.

trial registrationDRKS00031470.

Indexed as

AortaCarotid ArteriesGiant Cell ArteritisUltrasonography, Doppler, ColorVascular ResistanceVascular StiffnessAgedCarotid Intima-Media ThicknessCohort StudiesFemaleHumansMaleMiddle AgedOscillometryPulsatile FlowPulse Wave AnalysisAortic stiffnessAtherosclerosisCarotid sonographyGiant cell arteritisPulsatility indexPulse wave velocityResistance index

Identifiers

PMID41904550
PMCPMC13063443

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.