This article is more than 5 years old. Information may no longer be current.
Predicting rate of change in glaucoma cases remains difficult
FORT LAUDERDALE, Fla. — Adding historical data to more recent data did not enhance predictability of functional change in patients with glaucoma, according to a presentation.
One hundred eyes of 99 subjects were divided into two sequences: visits 1 through 6 and visits 7 through 12, Shaban Demirel, MD, and colleagues said in a poster presentation here at the Association for Research in Vision and Ophthalmology meeting.
“Including historical data added little to the predictability of future [rate of change],” Dr. Demirel told Ocular Surgery News regarding the rate of change seen between the earlier sequence and the later sequence.
At each visit, on the same day, Humphrey visual fields, Heidelberg Retina Tomograph, IOP and central corneal thickness were obtained. Various sets of predictors were included in four generalized estimating equation models to predict the rate of functional change: visit 6 only, the mean of visits 1 through 6, rates of change during visits 1 through 6, and the previous three models combined with highly correlated predictors excluded.
“In a nutshell, not any of the models did terribly well,” Dr. Demirel said, but among the models, cup parameters were most predictive of rate of change.
- Disclosure: Dr. Demirel has no relevant financial disclosures.