Microvasculature Dropout and Development of Normal Tension Glaucoma in Glaucoma Suspects: The Normal Tension Glaucoma Suspect Cohort Study

Am J Ophthalmol. 2022 Nov:243:135-148. doi: 10.1016/j.ajo.2022.07.020. Epub 2022 Aug 4.

Abstract

Purpose: To investigate the contribution of vessel parameters to identify normal tension glaucoma (NTG) suspects at risk of NTG development.

Design: Multicenter prospective cohort study.

Subjects: A total of 307 eyes of 307 NTG suspects having intraocular pressure within the normal range; a suspicious optic disc, but without definite localized retinal nerve fiber layer (RNFL) defects; and a normal visual field (VF).

Methods: To measure laminar vessel density (VD), the VD was measured in the intradisc region from images of the deep vascular layers of optical coherence tomography angiography (OCT-A). Conversion to NTG was defined either by a new localized RNFL defect in the superotemporal or inferotemporal region, or the presence of a glaucomatous VF defect on 2 consecutive tests according to the pattern deviation plots.

Main outcome measure: Conversion to NTG.

Results: In total, 73 (23.8%) of the 307 NTG suspects converted to NTG during the follow-up period of 59.84 ± 12.44 months. Detection rate of microvasculature dropout (MvD) was significantly higher in NTG suspects who progressed to NTG (50.7%) than in those who did not (6.4%; P < .001). The macular deep VD (P = .006) and laminar deep VD (P = .004) were significantly lower in NTG suspects who progressed to NTG. The presence of MvD (P < .001) and lower laminar deep VD (P = .006) were significantly associated with NTG conversion.

Conclusions: NTG suspects with baseline MvD or a lower laminar deep VD on OCT-A had a higher risk of conversion.

Publication types

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

MeSH terms

  • Cohort Studies
  • Humans
  • Intraocular Pressure
  • Low Tension Glaucoma* / diagnosis
  • Microvessels
  • Ocular Hypertension*
  • Prospective Studies
  • Tomography, Optical Coherence / methods
  • Visual Fields