Investigative Ophthalmology & Visual Science Cover Image for Volume 61, Issue 7
June 2020
Volume 61, Issue 7
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ARVO Annual Meeting Abstract  |   June 2020
Uveitis is a predictive factor for acute coronary syndrome among patients with Behcet's disease: a nationwide population-based cohort study
Author Affiliations & Notes
  • Yu-Yen Chen
    Ophthalmology, Taichung Veterans General Hospital, Taiwan, Taichung, Taiwan
  • Footnotes
    Commercial Relationships   Yu-Yen Chen, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2020, Vol.61, 2096. doi:
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      Yu-Yen Chen; Uveitis is a predictive factor for acute coronary syndrome among patients with Behcet's disease: a nationwide population-based cohort study. Invest. Ophthalmol. Vis. Sci. 2020;61(7):2096.

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Abstract

Purpose : To investigate the association between uveitis and an increased risk of subsequent acute coronary syndrome (ACS) among patients with Behcet's disease (BD).

Methods : Using the Taiwan National Health Insurance Database from 2001 to 2013, patients with BD were enrolled in our study. They were divided into BD with uveitis (uveitis group) and BD without uveitis (non-uveitis group). Kaplan-Meier curves were generated to compare the cumulative hazard of subsequent ACS between the uveitis group and non-uveitis group. A Cox regression analysis was performed to investigate the hazard ratio (HR) for ACS in the uveitis group comparing to the non-uveitis group.

Results : Among the 6136 patients with BD, 5237 had uveitis and 899 did not. During the study period of 13 years, Survival analysis with Kaplan-Meier curves revealed a significantly higher cumulative hazard for ACS in the uveitis group than the non-uveitis group (p < 0.0001). After adjustment of age and gender in a Cox regression, those with uveitis still had a significantly higher risk for subsequent ACS (HR=2.71; 95% confidence interval: 1.44-5.09).

Conclusions : Among patients with BD, uveitis could possibly predict a higher risk for subsequent ACS.

This is a 2020 ARVO Annual Meeting abstract.

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