Peizeng Yang 1 , Zhenyu Zhong 2 , Liping Du 3 , Fuzhen Li 3 , Zhijun Chen 2 , Ying Zhu 2 , Wanyun Zhang 2 , Fanfan Huang 2 , Xingsheng Ye 2 , Guannan Su 2 , Aize Kijlstra 4 . Show Affiliations »
Abstract
PURPOSE: Systemic diseases are frequently associated with uveitis but are often not recognised by clinicians. An estimate of the prevalence in a large-scale uveitis population is essential for understanding the epidemiological profile and may be helpful for clinical practice. DESIGN: A nationwide survey. METHODS: Data were obtained from a national database which included the registration of uveitis cases from 23 provinces, 5 autonomous regions and 4 municipalities across mainland China. The primary outcome was identification of a systemic disease associated with uveitis. RESULTS: From April 2008 through August 2018, 15 373 uveitis patients were included in the study. Males accounted for 52.9%, and the mean (SD) age of uveitis onset was 35.4 (15.9) years. After standardisation for age, the prevalence of systemic disease among patients with uveitis was 30.8% (95% CI, 30.1% to 31.6%). Vogt-Koyanagi-Harada disease (VKH; age-standardised prevalence, 12.7%; 95% CI, 12.1% to 13.2%), Behçet's disease (BD; 8.7%; 95% CI, 8.3% to 9.2%), ankylosing spondylitis (AS; 5.0%; 95% CI, 4.6% to 5.3%) and juvenile idiopathic arthritis (JIA; 1.2%; 95% CI, 1.0% to 1.3%) were the most common entities among 36 different forms of systemic diseases identified. The prevalence was significantly higher in males (37.0%; 95% CI, 36.0% to 38.1%) than in females (23.6%; 95% CI, 22.6% to 24.6%), and also higher in bilateral uveitis patients (41.2%; 95% CI, 40.2% to 42.2%) compared with unilateral cases (14.3%; 95% CI, 13.4% to 15.2%), and was highest in panuveitis (59.5%; 95% CI, 58.2% to 60.8%). CONCLUSION: Approximately one third of uveitis patients in this nationwide survey have an associated systemic disease, whereby VKH, BD, AS and JIA are the most frequent entities seen in China. © Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.
PURPOSE: Systemic diseases are frequently associated with uveitis but are often not recognised by clinicians. An estimate of the prevalence in a large-scale uveitis population is essential for understanding the epidemiological profile and may be helpful for clinical practice. DESIGN: A nationwide survey. METHODS: Data were obtained from a national database which included the registration of uveitis cases from 23 provinces, 5 autonomous regions and 4 municipalities across mainland China. The primary outcome was identification of a systemic disease associated with uveitis . RESULTS: From April 2008 through August 2018, 15 373 uveitis patients were included in the study. Males accounted for 52.9%, and the mean (SD) age of uveitis onset was 35.4 (15.9) years. After standardisation for age, the prevalence of systemic disease among patients with uveitis was 30.8% (95% CI, 30.1% to 31.6%). Vogt-Koyanagi-Harada disease (VKH; age-standardised prevalence, 12.7%; 95% CI, 12.1% to 13.2%), Behçet's disease (BD ; 8.7%; 95% CI, 8.3% to 9 .2%), ankylosing spondylitis (AS; 5.0%; 95% CI, 4.6% to 5.3%) and juvenile idiopathic arthritis (JIA ; 1.2%; 95% CI, 1.0% to 1.3%) were the most common entities among 36 different forms of systemic diseases identified. The prevalence was significantly higher in males (37.0%; 95% CI, 36.0% to 38.1%) than in females (23.6%; 95% CI, 22.6% to 24.6%), and also higher in bilateral uveitis patients (41.2%; 95% CI, 40.2% to 42.2%) compared with unilateral cases (14.3%; 95% CI, 13.4% to 15.2%), and was highest in panuveitis (59.5%; 95% CI, 58.2% to 60.8%). CONCLUSION: Approximately one third of uveitis patients in this nationwide survey have an associated systemic disease , whereby VKH, BD , AS and JIA are the most frequent entities seen in China. © Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.
Entities: Disease
Species
Keywords:
epidemiology; inflammation
Year: 2020
PMID: 32188681 DOI: 10.1136/bjophthalmol-2020-315960
Source DB: PubMed Journal: Br J Ophthalmol ISSN: 0007-1161 Impact factor: 4.638