Rokiah Omar1, Peter Herse. 1. Department of Optometry, Faculty of Health Sciences, National University of Malaysia, Kuala Lumpur, Malaysia.
Abstract
PURPOSE: Non-linear regression analysis was used to determine dark adaptation indices in people with retinitis pigmentosa and in control subjects. METHODS: Dark adaptation data were collected for 13 people with retinitis pigmentosa and 21 controls using the Goldmann-Weekers Dark Adaptometer. Data were analysed using an exponential non-linear regression model and dark adaptation indices derived. The results were compared to age-related values. RESULTS: The mean cone threshold of the group with RP (4.73 +/- 0.19 log units) was significantly greater than that found in the control group (3.69 +/- 0.12 log units). The rate of cone dark adaptation in the RP group was not significantly different from that of the control group. The a break in the RP group (6.46 +/- 0.70 minutes) was delayed when compared to the control group (4.29 +/- 0.21 minutes) and the rate of rod dark adaptation in the RP group was slower (10 +/- 2 per cent per minute) than that of the control group (15 +/- 1 per cent per minute). CONCLUSIONS: This study has shown that a relatively simple data analysis can provide a more quantitative and intuitive description of dark adaptation rates in people with retinal disease. This technique will enable more effective use of dark adaptometry as a supplement to objective electrophysiology, when monitoring people with retinitis pigmentosa.
PURPOSE: Non-linear regression analysis was used to determine dark adaptation indices in people with retinitis pigmentosa and in control subjects. METHODS: Dark adaptation data were collected for 13 people with retinitis pigmentosa and 21 controls using the Goldmann-Weekers Dark Adaptometer. Data were analysed using an exponential non-linear regression model and dark adaptation indices derived. The results were compared to age-related values. RESULTS: The mean cone threshold of the group with RP (4.73 +/- 0.19 log units) was significantly greater than that found in the control group (3.69 +/- 0.12 log units). The rate of cone dark adaptation in the RP group was not significantly different from that of the control group. The a break in the RP group (6.46 +/- 0.70 minutes) was delayed when compared to the control group (4.29 +/- 0.21 minutes) and the rate of rod dark adaptation in the RP group was slower (10 +/- 2 per cent per minute) than that of the control group (15 +/- 1 per cent per minute). CONCLUSIONS: This study has shown that a relatively simple data analysis can provide a more quantitative and intuitive description of dark adaptation rates in people with retinal disease. This technique will enable more effective use of dark adaptometry as a supplement to objective electrophysiology, when monitoring people with retinitis pigmentosa.
Authors: Frans Vinberg; Grazyna Palczewska; Jianye Zhang; Katarzyna Komar; Maciej Wojtkowski; Vladimir J Kefalov; Krzysztof Palczewski Journal: Neuroscience Date: 2019-08-07 Impact factor: 3.590
Authors: Daniel Ruminski; Grazyna Palczewska; Maciej Nowakowski; Agnieszka Zielińska; Vladimir J Kefalov; Katarzyna Komar; Krzysztof Palczewski; Maciej Wojtkowski Journal: Biomed Opt Express Date: 2019-08-09 Impact factor: 3.732
Authors: Laura Patryas; Neil R A Parry; David Carden; Daniel H Baker; Jeremiah M F Kelly; Tariq Aslam; Ian J Murray Journal: Graefes Arch Clin Exp Ophthalmol Date: 2013-04-05 Impact factor: 3.117