Eye Disease in Patients with Diabetes Screened with Telemedicine

Dong Wouk Park, Steven L. Mansberger

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Background: Telemedicine with nonmydriatic cameras can detect not only diabetic retinopathy but also other eye disease. Objective: To determine the prevalence of eye diseases detected by telemedicine in a population with a high prevalence of minority and American Indian/Alaskan Native (AI/AN) ethnicities. Subjects and Methods: We recruited diabetic patients 18 years and older and used telemedicine with nonmydriatic cameras to detect eye disease. Two trained readers graded the images for diabetic retinopathy, age-related macular degeneration (ARMD), glaucomatous features, macular edema, and other eye disease using a standard protocol. We included both eyes for analysis and excluded images that were too poor to grade. Results: We included 820 eyes from 424 patients with 72.3% nonwhite ethnicity and 50.3% AI/AN heritage. While 283/424 (66.7%) patients had normal eye images, 120/424 (28.3%) had one disease identified; 15/424 (3.5%) had two diseases; and 6/424 (1.4%) had three diseases in one or both eyes. After diabetic retinopathy (104/424, 24.5%), the most common eye diseases were glaucomatous features (44/424, 10.4%) and dry ARMD (24/424, 5.7%). Seventeen percent (72/424, 17.0%) showed eye disease other than diabetic retinopathy. Conclusions: Telemedicine with nonmydriatic cameras detected diabetic retinopathy, as well as other visually significant eye disease. This suggests that a diabetic retinopathy screening program needs to detect and report other eye disease, including glaucoma and macular disease.

Original languageEnglish (US)
Pages (from-to)113-118
Number of pages6
JournalTelemedicine and e-Health
Volume23
Issue number2
DOIs
StatePublished - Feb 2017

Keywords

  • E-health
  • Ophthalmology
  • Telehealth
  • Telemedicine

ASJC Scopus subject areas

  • Health Informatics
  • Health Information Management

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