June 2021
Volume 62, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2021
Assessing risk factors for retinal vein occlusions using the NIH All of Us Research Program
John J McDermott IV; Terrence Lee; Alison Chan; Gordon Ye; Bita Shahrvini; Bharanidharan Radha Saseendrakumar; Sally Liu Baxter
Author Affiliations & Notes
  • John J McDermott IV
    Viterbi Family Department of Ophthalmology and Shiley Eye Institute, UCSD, University of California San Diego, La Jolla, CA, US, academic, La Jolla, California, United States
    UCSD Health Department of Biomedical Informatics, University of California San Diego, La Jolla, California, United States
  • Terrence Lee
    Viterbi Family Department of Ophthalmology and Shiley Eye Institute, UCSD, University of California San Diego, La Jolla, CA, US, academic, La Jolla, California, United States
    UCSD Health Department of Biomedical Informatics, University of California San Diego, La Jolla, California, United States
  • Alison Chan
    Viterbi Family Department of Ophthalmology and Shiley Eye Institute, UCSD, University of California San Diego, La Jolla, CA, US, academic, La Jolla, California, United States
    UCSD Health Department of Biomedical Informatics, University of California San Diego, La Jolla, California, United States
  • Gordon Ye
    Viterbi Family Department of Ophthalmology and Shiley Eye Institute, UCSD, University of California San Diego, La Jolla, CA, US, academic, La Jolla, California, United States
    UCSD Health Department of Biomedical Informatics, University of California San Diego, La Jolla, California, United States
  • Bita Shahrvini
    Viterbi Family Department of Ophthalmology and Shiley Eye Institute, UCSD, University of California San Diego, La Jolla, CA, US, academic, La Jolla, California, United States
    UCSD Health Department of Biomedical Informatics, University of California San Diego, La Jolla, California, United States
  • Bharanidharan Radha Saseendrakumar
    Viterbi Family Department of Ophthalmology and Shiley Eye Institute, UCSD, University of California San Diego, La Jolla, CA, US, academic, La Jolla, California, United States
    UCSD Health Department of Biomedical Informatics, University of California San Diego, La Jolla, California, United States
  • Sally Liu Baxter
    Viterbi Family Department of Ophthalmology and Shiley Eye Institute, UCSD, University of California San Diego, La Jolla, CA, US, academic, La Jolla, California, United States
    UCSD Health Department of Biomedical Informatics, University of California San Diego, La Jolla, California, United States
  • Footnotes
    Commercial Relationships   John McDermott IV, None; Terrence Lee, None; Alison Chan, None; Gordon Ye, None; Bita Shahrvini, None; Bharanidharan Radha Saseendrakumar, None; Sally Baxter, None
  • Footnotes
    Support  This study was supported by National Institutes of Health grant DP5OD029610 and an unrestricted departmental grant from Research to Prevent Blindness.
Investigative Ophthalmology & Visual Science June 2021, Vol.62, 176. doi:
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      John J McDermott IV, Terrence Lee, Alison Chan, Gordon Ye, Bita Shahrvini, Bharanidharan Radha Saseendrakumar, Sally Liu Baxter; Assessing risk factors for retinal vein occlusions using the NIH All of Us Research Program. Invest. Ophthalmol. Vis. Sci. 2021;62(8):176.

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Abstract

Purpose : Retinal vein occlusions (RVOs) are known to be associated with several cardiovascular risk factors, but social determinants have been studied less frequently. Additionally, most studies have been conducted on predominantly white, Asian or local populations. Here, we assessed medical and socioeconomic risk factors for developing retinal vein occlusions (RVO) in a diverse nationwide population.

Methods : We performed a case-control study with data in All of Us, comparing 301 adults diagnosed with RVO to controls sampled from >250,000 participants matched by age, gender, and race/ethnicity. Data were extracted regarding demographics, co-morbidities, income, housing, insurance, and substance use. Multivariable logistic regression with bi-directional stepwise variable selection was performed to assess risk factors for RVO. Statistical significance was defined as p<0.05.

Results : The mean (standard deviation) age of 301 adults with RVO in All of Us was 68.1 (12.2) years. The majority (58.7%) were female. Cases were diverse: 24.2% Hispanic or Latino, 25.5% Black or African American, 3.55% Asian and 46.1% white. Most (69.9%) were not currently employed, 38.5% had an annual income of $25,000 or less, and 22.3% had Medicaid insurance. Traditional risk factors such as hypertension, glaucoma and diabetes mellitus were significantly associated with increased risk of RVO diagnosis (Table 1). Increasing annual income, increasing education level, and all forms of health insurance were associated with decreased risk of RVO, whereas current employment and past street opioid use were associated with increased risk of RVO (Table 1).

Conclusions : In addition to previously associated medical risk factors, multiple social determinants were found to be significant for RVO risk stratification. Past street opioid use was also a novel risk factor that merits further investigation. As a diverse national-level dataset, All of Us offers opportunities for a better understanding of social determinants of eye health, which can inform patient outreach and prevention efforts.

This is a 2021 ARVO Annual Meeting abstract.

 

Table 1: Factors associated with RVO diagnosis in All of Us.
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Table 1: Factors associated with RVO diagnosis in All of Us.

Table 1: Factors associated with RVO diagnosis in All of Us.

Table 1: Factors associated with RVO diagnosis in All of Us.
View OriginalDownload Slide

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Copyright © 2025 Association for Research in Vision and Ophthalmology.
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