July 2018
Volume 59, Issue 9
ARVO Annual Meeting Abstract  |   July 2018
Health disparities impact prevalence and complications of noninfectious uveitis: results from the National Inpatient Sample
Author Affiliations & Notes
  • Krati Chauhan
    Rheumatology, Southern Illinois University- School of Medicine, Springfield, Illinois, United States
  • Steven Scaife
    Center for Clinical Research, Springfield, Illinois, United States
  • James T. Rosenbaum
    Ophthalmology, Oregon Health and Science University-School of Medicine, Portland, Oregon, United States
    Ophthalmology, Legacy Devers Eye Institute, Portland, Oregon, United States
  • Footnotes
    Commercial Relationships   Krati Chauhan, None; Steven Scaife, None; James Rosenbaum, None
  • Footnotes
    Support  Nowatski Eye Foundation Grant
Investigative Ophthalmology & Visual Science July 2018, Vol.59, 1137. doi:
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      Krati Chauhan, Steven Scaife, James T. Rosenbaum; Health disparities impact prevalence and complications of noninfectious uveitis: results from the National Inpatient Sample. Invest. Ophthalmol. Vis. Sci. 2018;59(9):1137.

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      © ARVO (1962-2015); The Authors (2016-present)

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Purpose : Prevalence and severity of autoimmune disease like systemic lupus erythematous are influenced by health disparities which include race, income, sex and age. However, there is a lack of national data regarding effect of these factors on complications and prevalence of noninfectious uveitis (NIU).The primary aim of our study is to examine the influence of income and race for prevalence of NIU and its complications. We performed a retrospective, observational, and cross-sectional study using the National Inpatient Sample (NIS) for the years 2002-2013.

Methods : The NIS is a de-identified sample of U.S. community hospitals. We used the (ICD-9) codes to identify NIU cases and ocular complications. We collected information on age, sex, race, income quartile (< $ 38,999, $ 39,000-$ 47,999, $ 48,000-$ 62,999 and > $ 63,000), insurance status and ocular complications. Statistical analysis was done using SAS version 9.4. We performed multivariate logistic regression analysis, using age, sex, race, income quartile and payer status as predictor variables, to obtain adjusted odds ratio for developing NIU and its complications. To assess the effect of income, irrespective of race on developing NIU and its complications, we performed logistic regression analysis excluding African Americans, using income and Medicaid as predictor variables

Results : There were a total of 94,143,978, discharges from 2002-2013, out of these 15,296 had NIU. After adjusting for age, race, sex, payer status, income quartile, odds of African Americans(AA) having NIU are double as compared to Caucasians (OR=2.16, 95% CI:2.07-2.26), and odds of AA developing ocular complications such as blindness, legal blindness, retinal edema, retinal ischemia and glaucoma, are 1.5 times as compared to Caucasians (OR=1.44, 95% CI=1.16-1.79). Odds of Medicare (OR=2.18, 95% CI=1.67-2.84) and Medicaid (OR=2.11, 95% CI=1.59-2.81) patients having complications from NIU are double as compared to those with private insurance. After excluding African Americans, Medicaid patients have 13% greater odds (OR=1.13, 95% CI= of having NIU and 28% greater odds (OR=1.28, 95% CI=1.01-1.6) of having ocular complications from NIU.

Conclusions : Income and race influence prevalence and complications from NIU. African Americans and poor patients have higher prevalence NIU and its complications

This is an abstract that was submitted for the 2018 ARVO Annual Meeting, held in Honolulu, Hawaii, April 29 - May 3, 2018.



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