METHODS: This cross-sectional observational study includes 127 eyes of 127 subjects. Patients were divided into PPG (51 eyes), PG (46 eyes), and normal controls (30 eyes) based on clinical optic disc assessment and Humphrey visual field changes. The Heidelberg Spectralis OCT machine using Glaucoma Module Premium Edition software was used to measure the retinal nerve fiber layer (RNFL) and Bruch's membrane opening-minimum rim width (BMO-MRW) to assess the optic nerve head and ganglion cell layer (GCL) thickness in the macula.
RESULTS: RNFL, MRW, and GCL thickness were all significantly thinner in PG compared to PPG and the normal group. The BMO-MRW parameters showed better specificity (>70%) at 90% specificity compared to both RNFL and GCL parameters to discriminate normal, PPG, and PG patients. All BMO-MRW parameters showed higher area under curves (AUC) compared to RNFL and GCL parameters with the highest AUC observed in the superotemporal sector of the BMO-MRW (AUC=0.819 and and 0.897 between normal and PPG and PG groups respectively).
CONCLUSION: While the BMO-MRW best discriminates PPG and PG against normal eyes, GCL parameters poorly differentiate the three groups.
METHODS: A total of 64 university students were recruited in this study. The validated Malay version of Pittsburgh Sleep Quality Index questionnaire (PSQI-M) was used to measure the participants' sleep quality over the past month. Participants were categorized as good sleepers (n=32) and poor sleepers (n=32) based on the PSQI-M scores. Heterophoria and fusional vergences were measured at distance and near. Mann-Whitney U test was used to compare heterophoria, negative fusional vergence (NFV), and positive fusional vergence (PFV) at distance and near between good and poor sleepers. Spearman correlation analysis was used to study the relationship between PSQI-M score and PFV at distance.
RESULTS: Both distance and near heterophorias were not significantly different between good and poor sleepers (P>0.05). There was a difference in distance PFV (P<0.05) between good and poor sleepers, but not in distance NFV, near NFV, and near PFV (P>0.05). Distance PFV was negatively correlated with PSQI-M score (rs=-0.33, P<0.05).
CONCLUSION: University students with poor sleep quality demonstrates a reduced ability to maintain fusion with increasing convergence demand at distance. Sleep quality assessment during binocular vision examination in university students is recommended.
METHODS: Data was collected from the web-based MOH CSR. All consecutive cataract surgery patients from 1st June 2008 to 31st December 2014 were identified. Exclusion criteria were traumatic cataract or previous ocular surgery. Demographic data, ocular co-morbidities, intraoperative details and postoperative visual acuity (VA) at final ophthalmological follow-up were noted. All eyes were taken for analysis. Subjects with POE were compared against subjects with no POE for risk factor assessment using multiple logistic regressions.
RESULTS: A total of 163 503 subjects were screened. The incidence of POE was 0.08% (131/163 503). Demographic POE risk factors included male gender (OR: 2.121, 95%CI: 1.464-3.015) and renal disease (OR: 2.867, 95%CI: 1.503-5.467). POE risk increased with secondary causes of cataract (OR: 3.562, 95%CI: 1.740-7.288), uveitis (OR: 11.663, 95%CI: 4.292-31.693) and diabetic retinopathy (OR: 1.720, 95%CI: 1.078-2.744). Intraoperative factors reducing POE were shorter surgical time (OR: 2.114, 95%CI: 1.473-3.032), topical or intracameral anaesthesia (OR: 1.823, 95%CI: 1.278-2.602), posterior chamber intraocular lens (PCIOL; OR: 4.992, 95%CI: 2.689-9.266) and foldable IOL (OR: 2.276, 95%CI: 1.498-3.457). POE risk increased with posterior capsule rupture (OR: 3.773, 95%CI: 1.915-7.432) and vitreous loss (OR: 3.907, 95%CI: 1.720-8.873). Postoperative VA of 6/12 or better was achieved in 15.27% (20/131) subjects with POE.
CONCLUSION: This study concurs with other studies regarding POE risk factors. Further strengthening of MOH CSR data collection process will enable deeper analysis and optimization of POE treatment.
METHODS: This was a prospective cross-sectional study. All subjects underwent a full ophthalmic examination, refraction, visual field analysis and A-scan biometry. Myopic patients were classified as low myopia (LM) [spherical equivalent (SE) from greater than -0.5 D, up to -3.0 D], moderate myopia (MM; SE greater than -3.0 D, up to -6.0 D) and high myopia (HM; SE greater than -6.0 D). The control group consisted of emmetropic (EM) patients (SE from +0.5 D to -0.5 D). A Zeiss Cirrus HD-OCT machine was used to measure the peripapillary RNFL thickness of both eyes of each subject. The mean peripapillary RNFL thickness between groups was compared using both analysis of variance and analysis of covariance.
RESULTS: A total of 403 eyes of 403 subjects were included in this study. The mean age was 31.48±10.23y. There were 180 (44.7%) eyes with EM, 124 (30.8%) with LM, 73 (18.1%) with MM and 26 (6.5%) with HM. All groups of myopia severity had a thinner average RNFL than the EM group, but after controlling for gender, age, and axial eye length, only the HM group differed significantly from the EM group (P=0.017). Likewise, the superior, inferior and nasal RNFL was thinner in all myopia groups compared to controls, but after controlling for confounders, only the inferior quadrant RNFL was significantly thinner in the HM group, when compared to the EM group (P=0.017).
CONCLUSION: The average and inferior quadrant RNFL is thinner in highly myopic eyes compared to emmetropic eyes. Refractive status must be taken into consideration when interpreting the OCT of myopic patients, as RNFL thickness varies with the degree of myopia.