Ophthalmology (Eye & Ear Hospital) - Research Publications

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    Multi-focal electro-retinogram response following sub-threshold nano-second laser intervention in age-related macular degeneration
    Luu, CD ; Makeyeva, G ; Caruso, E ; Baglin, E ; Sivarajah, P ; Wu, Z ; Guymer, RH (WILEY, 2020-09)
    IMPORTANCE: The effect of sub-threshold nano-second laser (SNL) treatment on retinal function remains unknown. BACKGROUND: SNL treatment has been studied as a potential intervention in intermediate age-related macular degeneration (iAMD). This study investigated the longitudinal effect of SNL treatment on retinal function. DESIGN: This was a sub-study of the LEAD trial; a 36-month, multi-centre, randomized and sham-controlled trial. PARTICIPANTS: Subjects with iAMD. METHODS: Eligible participants were assigned randomly to receive SNL or sham treatment to the study eye at 6-monthly visits. Multi-focal electro-retinography (mfERG) was performed at each study visit from a study site. The mfERG responses were grouped into three regions (central, middle and outer rings) and compared between the SNL and sham group. MAIN OUTCOME MEASURES: mfERG P1 response amplitude and implicit time. RESULTS: Data were collected from 50 subjects (26 in the SNL group, 24 in the sham group). At baseline, the P1 amplitudes of both the study eyes and the fellow eyes were similar between the groups at all rings. In the sham group, the P1 amplitude gradually decreased over time (P < .05). In the SNL group, there was an improvement in P1 amplitude which became statistically significant at the 36-month visit, detected in both the treated and fellow eyes at the central (P = .005) and middle ring (P = .007) but not at the outer ring (P = .070). No difference in P1 implicit time detected between the groups (P > .05). CONCLUSIONS AND RELEVANCE: SNL treatment improved electro-physiological function. mfERG could be useful for monitoring AMD progression and evaluating the efficacy of SNL treatment.
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    Comparison of Associations with Different Macular Inner Retinal Thickness Parameters in a Large Cohort: The UK Biobank.
    Khawaja, AP ; Chua, S ; Hysi, PG ; Georgoulas, S ; Currant, H ; Fitzgerald, TW ; Birney, E ; Ko, F ; Yang, Q ; Reisman, C ; Garway-Heath, DF ; Hammond, CJ ; Khaw, PT ; Foster, PJ ; Patel, PJ ; Strouthidis, N ; UK Biobank Eye and Vision Consortium, (Elsevier BV, 2020-01)
    PURPOSE: To describe and compare associations with macular retinal nerve fiber layer (mRNFL), ganglion cell complex (GCC), and ganglion cell-inner plexiform layer (GCIPL) thicknesses in a large cohort. DESIGN: Cross-sectional study. PARTICIPANTS: We included 42 044 participants in the UK Biobank. The mean age was 56 years. METHODS: Spectral-domain OCT macular images were segmented and analyzed. Corneal-compensated intraocular pressure (IOPcc) was measured with the Ocular Response Analyzer (Reichert, Corp., Buffalo, NY). Multivariable linear regression was used to examine associations with mean mRNFL, GCC, and GCIPL thicknesses. Factors examined were age, sex, ethnicity, height, body mass index (BMI), smoking status, alcohol intake, Townsend deprivation index, education level, diabetes status, spherical equivalent, and IOPcc. MAIN OUTCOME MEASURES: Thicknesses of mRNFL, GCC, and GCIPL. RESULTS: We identified several novel independent associations with thinner inner retinal thickness. Thinner inner retina was associated with alcohol intake (most significant for GCIPL: -0.46 μm for daily or almost daily intake compared with special occasion only or never [95% confidence interval (CI), 0.61-0.30]; P = 1.1×10-8), greater social deprivation (most significant for GCIPL: -0.28 μm for most deprived quartile compared with least deprived quartile [95% CI, -0.42 to -0.14]; P = 6.6×10-5), lower educational attainment (most significant for mRNFL: -0.36 μm for less than O level compared with degree level [95% CI, -0.45 to 0.26]; P = 2.3×10-14), and nonwhite ethnicity (most significant for mRNFL comparing blacks with whites: -1.65 μm [95% CI, -1.86 to -1.43]; P = 2.4×10-50). Corneal-compensated intraocular pressure was associated most significantly with GCIPL (-0.04 μm/mmHg [95% CI, -0.05 to -0.03]; P = 4.0×10-10) and was not associated significantly with mRNFL (0.00 μm/mmHg [95% CI, -0.01 to 0.01]; P = 0.77). The variables examined explained a greater proportion of the variance of GCIPL (11%) than GCC (6%) or mRNFL (7%). CONCLUSIONS: The novel associations we identified may be important to consider when using inner retinal parameters as a diagnostic tool. Associations generally were strongest with GCIPL, particularly for IOP. This suggests that GCIPL may be the superior inner retinal biomarker for macular pathophysiologic processes and especially for glaucoma.