The Assessment of Pupil Cycle Time in Patients with Glaucoma
|Omer Karti1*, Eyyup Karahan2, Tumay Orsel1, Nurdan Talay1 and Tuncay Kusbeci1|
|1Bozyaka Training and Research Hospital, Department of Ophthalmology, Izmir, Turkey|
|2Sifa University, Department of Ophthalmology, Izmir, Turkey|
|Corresponding Author :||Omer Karti
MD Çatalkaya Mah, GunaydÄ±n sok
Zümrütevler Sitesi, No: 1/8 NarlÄ±dere, Ä°zmir
Tel: 90 505 598 56 85
E-mail: [email protected]
|Received: November 10, 2015 Accepted: January 11, 2016 Published: January 15, 2016|
|Citation: Karti O, Karahan E, Orsel T, Talay N, Kusbeci T (2016) The Assessment of Pupil Cycle Time in Patients with Glaucoma. J Clin Exp Ophthalmol 7:517. doi:10.4172/2155-9570.1000517|
|Copyright: © 2016 Karti O, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.|
Purpose: To evaluate the value of pupil cycle time (PCT) measurements in patients with glaucoma.
Material and Methods: 40 eyes of 40 patients having primary open angle glaucoma and 35 eyes of 35 healthy subjects were enrolled in this study. In unilateral cases the glaucomatous was studied and in bilateral cases the studied eye was determined randomly in both groups when both eyes were eligible. All patients underwent ophthalmologic examinations, including best corrected visual acuity (BCVA), slit-lamp biomicroscopy, Goldmann applanation tonometry, gonioscopy, visual field testing, PCT measurement and optical coherence tomography (OCT). Two groups were compared using the chi-squared test for categorical variables and with the independent t test for non-categorical parameters. Correlations of PCT results with age of patients, duration of glaucoma (years), best corrected visual acuity (BCVA), mean deviation (MD) and pattern standard deviation (PSD) of visual field and OCT parameters were analyzed with Pearson correlation analysis test.
Results: Mean age was 63.5 ± 9.5 in glaucoma patients, and 62.2 ± 7.2 in healthy subjects (p=0.453). Rate of females was 62.5% in glaucoma patients, and 54.2% in healthy subjects (p=0.323). Mean PCT was 947.5 ± 65.5 ms in the glaucoma group, whereas it was 888 ± 33.8 ms in healthy subjects (p=0.030). There was a significant correlation between PCT and other variables including age of the patients (R: 0.331, p=0.001), duration of glaucoma (R: 0.457, p<0.001), BCVA (R:-0.396, p<0.001), ganglion cell-inner plexiform layer (GC-IPL) thickness (R:-0.457, p<0.001) and retinal nerve fiber layer thickness (RNFLT) (R:-0.676, p<0.001). There was a prominent lengthening of PCT while reducing BCVA, RNFLT and GC-IPL thickness.
Conclusion: PCT measurements showed a significant correlation with OCT parameters in our study. Further prospective studies are needed to evaluate the value of PCT in glaucoma patients.