Giant cell arteritis in Asians: a comparative study

Br J Ophthalmol. 2011 Feb;95(2):214-6. doi: 10.1136/bjo.2009.177220. Epub 2010 Jun 28.

Abstract

Background: Giant cell arteritis (GCA) is a common systemic vasculitis, with a presumed Caucasian predominance. The occurrence of GCA in Asians has rarely been addressed. This study aims to assess the incidence of giant cell arteritis in Asians.

Methods: In this retrospective review, the self-reported ethnicities of patients with biopsy-proven GCA at the University of California-San Francisco (UCSF) were recorded. Ethnic distribution of the patient population served by UCSF was estimated from an age- and sex-matched control group. The odds ratio for each ethnicity (Asian and Caucasian) was determined and compared using Fisher's exact test and logistic regression analysis.

Results: The ethnic distribution of the 38 patients with positive temporal artery biopsies were as follows: Caucasian n=31 (81.6%), Asian n=1 (2.6%) and other n=6 (15.8%). The ethnic distribution of the patient population served by UCSF was as follows: Caucasian 42%, Asian 28% and other 30%. The difference in the proportion of GCA in Asians and Caucasians was statistically significant (OR 0.049 (95% CI 0.0065 to 0.374), p=0.0036).

Conclusions: In our patient population, GCA was seen 20 times less frequently in Asian than Caucasian patients. Although this difference is significantly different (p=0.036), given the small sample size and wide CI this should be viewed as a rough estimate.

Publication types

  • Comparative Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Asian People / ethnology*
  • Asian People / statistics & numerical data
  • Biopsy
  • Case-Control Studies
  • Female
  • Giant Cell Arteritis / epidemiology
  • Giant Cell Arteritis / ethnology*
  • Giant Cell Arteritis / pathology
  • Glucocorticoids / therapeutic use
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • Odds Ratio
  • Retrospective Studies
  • Temporal Arteries / pathology
  • White People / ethnology*
  • White People / statistics & numerical data

Substances

  • Glucocorticoids