Abstract
Purpose :
Registries are viable methods of collecting data for uncommon diseases. This study reports on eye injuries captured in IGATES registry
Methods :
Data was collected April 2014 to December 2022bfrom 24 participating centers in 10 countries; India, Iran, Guatemala, Indonesia, USA, Columbia, Singapore, Nepal, Mexico, and Pakistan collected in IGATES registry. Demographics, mechanism and setting of injury and visual outcomes were analyzed. Data were anonymized and participating sites obtained ethics from their ethics review board.
Results :
4625 eyes (4463 patients) were included with a male to female ratio of 3.7 and mean age of 30.2 years-old. A significant association between age and country (p=<0.005, Kruskal-Wallis tests) was identified, with Indonesia the youngest (M 19.9 years, F 21.6 years) and Singapore the oldest mean age (M 41.3, F 44.3). Gender and country was significantly associated (p=0.0036, Fisher exact tests FET) with the male to female ratio highest in Pakistan (36) and lowest in Singapore (2.0). June represented the highest proportion of presentation with a significant association between month and mechanism type (p=0.005, FET), June for sharp (16.2%) and blunt (15.8%) and November for fireworks (16.6%). [figure 1]A significant association was identified between country and setting (p=0.04, FET) with the highest rate of workplace injuries (52.7%) in Iran and highest rate of domestic eye injuries (67.0%) in USA. Eye protection was reported as worn in 43/4244 (1.0%) of patients. Poor final visual outcome (worse than 6/60) was significantly associated with setting of injury (p=0.004, FET) with fireworks- and agriculture- related eye injuries resulting in 74% and 57% eyes respectively. Poor VA outcomes were also significantly associated with scleral, posterior segment, lens, iris, limbus, retinal involvement and surgical intervention (p=<0.005, FET).
Conclusions :
Significant differences were found amongst the surveyed countries for gender, age and setting of injury. A significantly larger proportion of poor visual outcomes were associated with agriculture- and fireworks- related injuries. IGATES provides an opportunity to use big data to analyze eye injuries, to help improve outcomes and ultimately reduce incidence with real-time, informed prevention strategies.
This abstract was presented at the 2023 ARVO Annual Meeting, held in New Orleans, LA, April 23-27, 2023.