Prevalence of glaucoma in rural Myanmar: the Meiktila Eye Study

Br J Ophthalmol. 2007 Jun;91(6):710-4. doi: 10.1136/bjo.2006.107573.

Abstract

Aim: To determine the prevalence of glaucoma in the Meiktila district of central, rural Myanmar.

Methods: A cross-sectional, population-based survey of inhabitants > or =40 years of age from villages in Meiktila district, Myanmar, was performed; 2481 eligible participants were identified and 2076 participated in the study. The ophthalmic examination included Snellen visual acuity, slit-lamp examination, tonometry, gonioscopy, dilated stereoscopic fundus examination and full-threshold perimetry. Glaucoma was classified into clinical subtypes and categorised into three levels according to diagnostic evidence.

Results: Glaucoma was diagnosed in 1997 (80.5%) participants. The prevalence of glaucoma of any category in at least one eye was 4.9% (95% CI 4.1 to 5.7; n = 101). The overall prevalence of primary angle-closure glaucoma (PACG) was 2.5% (95% CI 1.5 to 3.5) and of primary open-angle glaucoma (POAG) was 2.0% (95% CI 0.9 to 3.1). PACG accounted for 84% of all blindness due to glaucoma, with the majority due to acute angle-closure glaucoma (AACG).

Conclusion: The prevalence of glaucoma in the population aged > or =40 years in rural, central Myanmar was 4.9%. The ratio of PACG to POAG was approximately 1.25:1. PACG has a high visual morbidity and AACG is visually devastating in this community. Screening programmes should be directed at PACG, and further study of the underlying mechanisms of PACG is needed in this population.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Adult
  • Age Distribution
  • Aged
  • Cross-Sectional Studies
  • Female
  • Glaucoma / diagnosis
  • Glaucoma / epidemiology*
  • Glaucoma, Angle-Closure / diagnosis
  • Glaucoma, Angle-Closure / epidemiology
  • Glaucoma, Open-Angle / diagnosis
  • Glaucoma, Open-Angle / epidemiology
  • Humans
  • Intraocular Pressure
  • Male
  • Middle Aged
  • Myanmar / epidemiology
  • Prevalence
  • Rural Health / statistics & numerical data
  • Sex Distribution