Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
Propensity matched analysis of the association between age-related macular degeneration and systemic autoimmune diseases
Author Affiliations & Notes
  • Priya Shukla
    Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio, United States
    Center for Ophthalmic Bioinformatics, Cole Eye Institute, Cleveland, Ohio, United States
  • Matthew W Russell
    Cleveland Clinic Cole Eye Institute, Cleveland, Ohio, United States
  • Justin Muste
    Cleveland Clinic Cole Eye Institute, Cleveland, Ohio, United States
  • Jacqueline K. Shaia
    Case Western Reserve University School of Medicine, Cleveland, Ohio, United States
    Center for Ophthalmic Bioinformatics, Cole Eye Institute, Cleveland, Ohio, United States
  • Madhukar Kumar
    Case Western Reserve University School of Medicine, Cleveland, Ohio, United States
  • Amy Nowacki
    Cleveland Clinic Lerner Research Institute, Cleveland, Ohio, United States
  • Rula Hajj-Ali
    Department of Rheumatology, Cleveland Clinic, Cleveland, Ohio, United States
  • Rishi Singh
    Cleveland Clinic Martin Health, Stuart, Florida, United States
    Center for Ophthalmic Bioinformatics, Cole Eye Institute, Cleveland, Ohio, United States
  • Katherine Talcott
    Cleveland Clinic Cole Eye Institute, Cleveland, Ohio, United States
    Center for Ophthalmic Bioinformatics, Cole Eye Institute, Cleveland, Ohio, United States
  • Footnotes
    Commercial Relationships   Priya Shukla None; Matthew Russell None; Justin Muste None; Jacqueline Shaia None; Madhukar Kumar None; Amy Nowacki None; Rula Hajj-Ali Glasco Smith Klein, Amgen, Code C (Consultant/Contractor), UpToDate, Code R (Recipient), Glasco Smith Klein, Amgen, Code S (non-remunerative); Rishi Singh Genentech/Roche, Alcon, Novartis, Regenerion, Asclepix, Gyroscope, Bausch and Lomb, Apellis, Code C (Consultant/Contractor); Katherine Talcott Alimera, Apellis, Bausch and Lomb, Eyepoint, Genentech, Iveric Bio, Code C (Consultant/Contractor), Regeneron, Regenxbio, Zeiss, Code F (Financial Support)
  • Footnotes
    Support  This project was supported by the Clinical and Translational Science Collaborative (CTSC) of Cleveland which is funded by the National Institutes of Health (NIH), National Center for Advancing Translational Science (NCATS), Clinical and Translational Science Award (CTSA) grant, UL1TR002548. This work was also supported by the Research to Prevent Blindness (RPB) Challenge Grant, Cleveland Eye Bank Foundation Grant P30EY025585(BA-A) as well as the National Eye Institute: T32 EY024236 (Jacqueline Shaia).
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 4371. doi:
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      Priya Shukla, Matthew W Russell, Justin Muste, Jacqueline K. Shaia, Madhukar Kumar, Amy Nowacki, Rula Hajj-Ali, Rishi Singh, Katherine Talcott; Propensity matched analysis of the association between age-related macular degeneration and systemic autoimmune diseases. Invest. Ophthalmol. Vis. Sci. 2024;65(7):4371.

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

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Abstract

Purpose : The pathogenesis of age-related macular degeneration (AMD) involves aberrant complement activation and is a leading cause of vision loss worldwide. Complement aberrations are also implicated in the development of many autoimmune diseases, but the relationship between AMD and these conditions remains undescribed. This study assesses the association between AMD and several complement-mediated autoimmune diseases.

Methods : This study used de-identified data from the national TriNetX database (2006-2023), using ICD10 codes to select for autoimmune diseases associated with complement aberration. A control cohort was generated by identifying patients with a diagnosis of cataract, but no history of AMD, ensuring that the control patients had an exam by an ophthalmologist. Propensity score matching was used to match the cohorts on age, sex, race, and ethnicity. Odds ratios and 95% confidence intervals (CI) were generated for each autoimmune disease and compared between AMD and control patients. Additional analyses were conducted by AMD stage, dichotomized to early/intermediate AMD and advanced AMD (geographic atrophy and neovascular AMD).

Results : After propensity-score matching, the AMD cohort (n = 140,207) had a mean age of 76 (SD=11.4) and was 60% female and the control cohort (n = 140,207) also had a mean age of 76 (SD=11.4) and was 60% female. AMD was associated with systemic lupus erythematosus (OR 1.24, 95% CI 1.12 - 1.38, p < 0.001), Crohn’s disease (OR 1.35, 95% CI 1.22 – 1.50, p < 0.001), ulcerative colitis (OR 1.19, 95% CI 1.10 – 1.29, p < 0.001), rheumatoid arthritis (OR 1.15, 95% CI 1.10 – 1.20, p < 0.001), and psoriasis (OR 1.12, 95% CI 1.09 – 1.27, p < 0.001). Associations were also seen with several types of vasculitis including antineutrophilic cytoplasmic antibody vasculitis (OR 1.30, 95% CI 1.03 – 1.64, p = 0.03), giant cell arteritis (1.14, 95% CI 1.03 – 1.27, p = 0.009), and unclassified necrotizing vasculitis (OR 1.12, 95% CI 1.02 – 1.22, p = 0.01). Early/intermediate AMD showed the same associations as the overall AMD cohort. Advanced AMD showed a positive association with Crohn’s disease (OR 1.40, p<0.001), but an inverse relationship with Sjogren’s syndrome (OR 0.78, p<0.001).

Conclusions : AMD is associated with common systemic autoimmune diseases. Since these diseases tend to co-occur, these patients may benefit from closer screening and monitoring.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

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