The clinical utility of telangiectasia quantification as markers of vascular disease progression in systemic sclerosis

Clicks: 3
ID: 314726
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #96 of 206 articles by views in Lara D. Veeken

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 206 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Abstract Objectives Telangiectasia are common in systemic sclerosis (SSc). We explored the relationship between the site and quantity of telangiectasia with disease characteristics in SSc and the agreement between patient and physician-reported quantification of telangiectasia. Methods A retrospective analysis of a large, cross-sectional international SSc-related vasculopathy study was undertaken, including clinician and patient assessments of telangiectasia counts (0, 1–6, 7–15 or > 15) in the face, forearms and hands. Relationships between telangiectasia count at each site, demographics and clinical features including calcinosis, digital ulceration (DU) and pulmonary arterial hypertension (PAH) were examined using proportional odds logistic regression. A binary logistic regression model examined the value of telangiectasia counts on the accuracy in identifying co-existent PAH. Concordance between clinician and patient-reported telangiectasia counts at each anatomical site was tested. Results Higher telangiectasia counts over the face and hands were associated with higher prevalence of calcinosis, DU and PAH in univariate analysis (p< 0.001–0.003). In multivariate analysis, the presence of PAH, DU and calcinosis were associated with higher facial telangiectasia (p< 0.05). The logistic regression model for the detection of PAH was enhanced with inclusion of telangiectasia count and site (AUC 0.824–0.875). Strength of agreement between clinician and patient-reported telangiectasia counts were moderate for face and forearms (kappa 0.648 and 0.605 respectively, p< 0.001) and relatively weaker for hands (kappa 0.584, p< 0.001). Conclusions The number of telangiectasia might be considered a complementary biomarker to the presence of vascular complications of SSc including PAH, DU and calcinosis. The anatomical regions and level of instruction provided for patient-reported count of telangiectasia need further optimisation to be considered reliable and feasible. In addition, future work should consider correlations with nailfold capillaroscopic patterns.
Reference Key
openalex_W7162129897 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Matthew Wells, Theresa Smith, Robyn T Domsic, Aishwarya Anilkumar, Tracy Frech, Ariane L Herrick, Laura K. Hummers, Ami A. Shah, Christopher P Denton, D Khanna, Shaney L Barratt, John D Pauling
Journal Lara D. Veeken
Year 2026
DOI
10.1093/rheumatology/keag267
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.