10. Validation of Angiographic Patterns of Disease in a Turkish Cohort of Patients with Takayasu's Arteritis
Creators: name: Bates Gribbons1
name: Sema  Kaymaz-Tahra2, 3
name: Fatma  Alibaz-Oner2, 3
name: Ertugrul  Cagri Bolek2
name: Karadag2, Omer
name: İnce2, Burak
name: İnanç2, Murat
name: Kocaer2, Sinem Burcu
name: Fatoş  Önen2
name: Aksu2, Kenan
name: Keser2, Gökhan
name: Aşkın  Ateş2
name: Yazici2, Ayten
name: Ayşe  Cefle2
name: Nilufer  Alpay-Kanıtez2
name: Omma2, Ahmet
name: Onay  Gerçik2,
name: Akar2, Servet
name: Cobankara2, Veli
name: Nazife  Şule Yaşar Bilgin2,
name: Kaşifoğlu2, Timuçin
name: Quinn4, Kaitlin
name: Peter Grayson4,
name: Merkel5, Peter
name: Haner Direskeneli2, 3
Publisher: name: Zenodo
Year: 2022
Subjects: Vasculitis
ANCA
Abstracts
Giant Cell Arthritis
MPA
GPA
EGPA
Takayasu
IgA vasculitis

description: <strong>Background:</strong> Previous studies using computer-driven methods have identified subsets of patients with Takayasu’s arteritis (TAK) based on angiographic patterns of disease. These subsets were consistent between independent cohorts in North America and India, however, the prevalence of each subset differed between continents. The objective of this current study was to validate in an independent cohort from Turkey angiographic patterns of disease in TAK and determine if the prevalence of these patterns is more similar to cohorts from India, North America, or neither. <strong>Methods:</strong> Angiograph data were derived from records of patients with TAK from 12 tertiary rheumatology centers in Turkey. All patients underwent whole-body angiography of the aorta and branch vessels, with categorization of involvement (stenosis, occlusion, or aneurysm) in 13 arterial territories. K-means cluster analysis was performed to identify subgroups of patients based on pattern of angiographic involvement. <strong>Results</strong>: Data from 421 patients in the cohort in Turkey were available for analysis. Using K-means clustering, three distinct clusters were identified for the Turkish patients; these three clusters we identical to those previously identified in the Indian and North American cohorts (Table 1). Patients in Cluster 1 have significantly more disease in the abdominal aorta, renal, and mesenteric arteries (p &lt; 0.01). Patients in Cluster 2 have significantly more bilateral disease in the carotid and subclavian arteries (p &lt; 0.01). Compared to Clusters 1 and 2, patients in Cluster 3 have asymmetric disease with fewer involved territories (p &lt; 0.01). The prevalence in each of the three clusters for patients from Turkey (current analysis) compared to the prevalences for patients from North America (NA) and India (previously published data) differed. The distribution of patients among the three clusters was quite similar among patients from Turkey and NA, but these two cohorts differed in this respect from patients from India. Patients from Turkey and NA were more likely to fall within Clusters Two (India: 27% vs NA: 35% vs Turkey: 35%) and Three (India: 32% vs NA: 41% vs Turkey: 44%), while patients from India were more likely to fall within Cluster One (India: 41% vs NA: 24% vs Turkey: 21%). <strong>Conclusions:</strong> This study provides strong, independent confirmation that there are distinct subsets of Takayasu’s arteritis based on angiographic disease. These patterns are consistent between continents; however, the prevalence of each pattern differs. Genetic and/or environmental factors may contribute to patterns of angiographic disease in patients with TAK. <strong> </strong> <strong>Disclosures</strong>: None