Giant cell arteritis incidence: analysis by season and year in mid-Atlantic United States.
Publication/Presentation Date
8-1-2013
Abstract
BACKGROUND: Evaluate the incidence of biopsy-proven giant cell arteritis for seasonal or annual variability in the Mid-Atlantic United States.
DESIGN: Retrospective chart review of all patients undergoing temporal artery biopsy from 1994 to 2011.
PARTICIPANTS: The charts of 744 patients were reviewed, and 215 patients were diagnosed with giant cell arteritis based on positive temporal artery biopsy results.
METHODS: All results between 1994 and 2011 were reviewed. Giant cell arteritis incidence data were evaluated by year, season and month for any trends or cyclic patterns.
MAIN OUTCOME MEASURE: Incidence of biopsy-proven giant cell arteritis.
RESULTS: The majority of patients were female (74%) and over the age of 60 (98.6%). The diagnosis of biopsy-proven giant cell arteritis was found in 215 of 744 (28.9%) patients. The incidence of biopsy-proven giant cell arteritis by year varied, with the peak incidence in 1996. The monthly incidence peaked in July and had a trough in October. However, Poisson regression analysis did not show any statistically significant trend over time or cyclic pattern to the incidence by year, season or month.
CONCLUSIONS: The incidence of biopsy-proven giant cell arteritis in the population studied did not have any significant cyclic pattern over the last 17 years. The highest incidence by month was noted in July with a trough in October. However, this was not a significant pattern by month or season to support infectious or periodic environmental factors inciting giant cell arteritis.
Volume
41
Issue
6
First Page
577
Last Page
581
ISSN
1442-9071
Published In/Presented At
Kisza, K., Murchison, A. P., Dai, Y., Bilyk, J. R., Eagle, R. C., Jr, Sergott, R., & Savino, P. J. (2013). Giant cell arteritis incidence: analysis by season and year in mid-Atlantic United States. Clinical & experimental ophthalmology, 41(6), 577–581. https://doi.org/10.1111/ceo.12069
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
23332080
Department(s)
Administration and Leadership
Document Type
Article