June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
An EHR-based algorithm indicates that women and African Americans are at greater risk for keratoconus in the Million Veteran Program
Author Affiliations & Notes
  • Chiemeka Okafor
    Case Western Reserve University School of Medicine, Cleveland, Ohio, United States
  • Christopher W Halladay
    Center for Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, Rhode Island, United States
  • Cari L Nealon
    Louis Stokes Cleveland VA Medical Center, Cleveland, Ohio, United States
  • David P Roncone
    Louis Stokes Cleveland VA Medical Center, Cleveland, Ohio, United States
  • Loretta Szczotka
    Department of Ophthalmology, University Hospitals, Cleveland, Ohio, United States
  • Neal S Peachey
    Louis Stokes Cleveland VA Medical Center, Cleveland, Ohio, United States
    Cleveland Clinic Cole Eye Institute, Cleveland, Ohio, United States
  • Sudha K Iyengar
    Louis Stokes Cleveland VA Medical Center, Cleveland, Ohio, United States
    Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, United States
  • Footnotes
    Commercial Relationships   Chiemeka Okafor None; Christopher Halladay None; Cari Nealon None; David Roncone None; Loretta Szczotka Alcon Laboratories, Code F (Financial Support), LenTechs, Code F (Financial Support), Johnson & Johnson Vision Care, Inc., Code F (Financial Support); Neal Peachey None; Sudha Iyengar None
  • Footnotes
    Support  VA Office of Research Development (I01 BX004557), NIH Core Grants (P30 EY025585, P30 EY011373)
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 5132. doi:
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      Chiemeka Okafor, Christopher W Halladay, Cari L Nealon, David P Roncone, Loretta Szczotka, Neal S Peachey, Sudha K Iyengar; An EHR-based algorithm indicates that women and African Americans are at greater risk for keratoconus in the Million Veteran Program. Invest. Ophthalmol. Vis. Sci. 2023;64(8):5132.

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

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Abstract

Purpose : Applying singleton codes from electronic health records (EHR) to distinguish cases from controls for specific disorders leads to inaccurate taxonomy. To accurately detect keratoconus (KC) cases we created an EHR-based algorithm using a combination of variables to reduce error. The relationship between KC cases and controls and demographic, lifestyle and comorbid factors was examined in the Million Veteran Program (MVP).

Methods : The KC algorithm was derived from International Classification Disease Clinical Modification (ICD-CM) and Current Procedural Terminology (CPT) codes in the Veteran’s Administration (VA) Computerized Patient Health Records. The algorithm was refined at the Cleveland VA and then exported to Buffalo and Providence VAs. Final positive and negative predictive values (PPV, NPV) were calculated across sites. We extracted cases and controls, and evaluated the relationship between KC with sex, genetic ancestry, smoking history, and comorbidities in the MVP.

Results : Chart reviews at Cleveland, Buffalo, and Providence yielded an average PPV and NPV of 91% and 98%, respectively. We identified 1,080 KC cases and 184,007 controls. Multivariable adjusted KC models included age, sex, ancestry, and smoking or Charlson Comorbidity Index (CCI). We observed that women are at higher risk than men (odds ratio (OR)= 2.6) with a 3.1% diagnosis in women compared to 0.5% in men (p-value (P)< 9.0 x 10-7). By ancestral group, African Americans (AA) were at greater risk for KC vs European Americans (EA) (OR= 1.7; P<1.0x 10-5). Hispanic Americans (HA) (OR= 1.5) and Asian Americans (ASN) (OR= 0.76) showed no association, but the direction of ORs was consistent with recent reports. A history of smoking reduced risk of KC (OR= 0.51; P< 3.4x10-9). KC cases have greater comorbidities vs controls, OR= 2.7 (P<3.6x10-170) per one step increase in CCI.

Conclusions : The greatest risk for KC was in women and AAs. KC is rare and only 10% of the VA population is female, thus the disparity in male vs female risk compared to other studies needs to be investigated more thoroughly. Smoking was protective against KC, and prior reports speculate that cigarette smoke protects by crosslinking corneal proteins. In MVP, KC cases have more comorbidities than controls. Our validated EHR-based KC algorithm is portable and will be valuable for analyses of datasets from other health systems.

This abstract was presented at the 2023 ARVO Annual Meeting, held in New Orleans, LA, April 23-27, 2023.

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