Terence C Amis1,2,3, Rita Perri4,5, Sharon Lee4,5, Meredith Wickens4,5, Gerald Liew6,7,8, Paul Mitchell6,7,8, Kristina Kairaitis4,6,5, John R Wheatley4,6,5. 1. Ludwig Engel Centre for Respiratory Research, The Westmead Institute for Medical Research, The University of Sydney, Sydney, NSW, Australia. terry.amis@sydney.edu.au. 2. Westmead Clinical School, University of Sydney, Westmead, NSW, Australia. terry.amis@sydney.edu.au. 3. Department of Respiratory and Sleep Medicine, Westmead Hospital, Sydney, NSW, Australia. terry.amis@sydney.edu.au. 4. Ludwig Engel Centre for Respiratory Research, The Westmead Institute for Medical Research, The University of Sydney, Sydney, NSW, Australia. 5. Department of Respiratory and Sleep Medicine, Westmead Hospital, Sydney, NSW, Australia. 6. Westmead Clinical School, University of Sydney, Westmead, NSW, Australia. 7. Department of Ophthalmology, Westmead Hospital, Sydney, NSW, Australia. 8. Centre for Vision Research, The Westmead Institute for Medical Research, The University of Sydney, Sydney, NSW, Australia.
Abstract
STUDY OBJECTIVES: There has been long-standing interest in potential links between obstructive sleep apnea (OSA) and eye disease. This study used retinal photography to identify undiagnosed retinal abnormalities in a cohort of sleep clinic patients referred for polysomnography (PSG) and then determined associations with PSG-quantified sleep-disordered breathing (SDB) severity. METHODS: Retinal photographs (n = 396 patients) were taken of each eye prior to polysomnography and graded according to validated, standardized, grading scales. SDB was quantified via in-laboratory polysomnography (PSG; n = 385) using standard metrics. A questionnaire (n = 259) documented patient-identified pre-existing eye disease. Within-group prevalence rates were calculated on a per patient basis. Data were analyzed using multivariate logistic regression models to determine independent predictors for retinal abnormalities. P < 0.05 was considered significant. RESULTS: Main findings were (1) 76% of patients reported no pre-existing "eye problems"; (2) however, 93% of patients had at least one undiagnosed retinal photograph-identified abnormality; (3) most common abnormalities were drusen (72%) and peripapillary atrophy (PPA; 47%); (4) age was the most common risk factor; (5) diabetes history was an expected risk factor for retinopathy; (6) patients with very severe levels of SDB (apnea hypopnea index ≥ 50 events/h) were nearly three times more likely to have PPA. CONCLUSION: Retinal photography in sleep clinic settings will likely detect a range of undiagnosed retinal abnormalities, most related to patient demographics and comorbidities and, except for PPA, not associated with SDB. PPA may be indicative of glaucoma, and any association with severe SDB should be confirmed in larger prospective studies.
STUDY OBJECTIVES: There has been long-standing interest in potential links between obstructive sleep apnea (OSA) and eye disease. This study used retinal photography to identify undiagnosed retinal abnormalities in a cohort of sleep clinic patients referred for polysomnography (PSG) and then determined associations with PSG-quantified sleep-disordered breathing (SDB) severity. METHODS: Retinal photographs (n = 396 patients) were taken of each eye prior to polysomnography and graded according to validated, standardized, grading scales. SDB was quantified via in-laboratory polysomnography (PSG; n = 385) using standard metrics. A questionnaire (n = 259) documented patient-identified pre-existing eye disease. Within-group prevalence rates were calculated on a per patient basis. Data were analyzed using multivariate logistic regression models to determine independent predictors for retinal abnormalities. P < 0.05 was considered significant. RESULTS: Main findings were (1) 76% of patients reported no pre-existing "eye problems"; (2) however, 93% of patients had at least one undiagnosed retinal photograph-identified abnormality; (3) most common abnormalities were drusen (72%) and peripapillary atrophy (PPA; 47%); (4) age was the most common risk factor; (5) diabetes history was an expected risk factor for retinopathy; (6) patients with very severe levels of SDB (apnea hypopnea index ≥ 50 events/h) were nearly three times more likely to have PPA. CONCLUSION: Retinal photography in sleep clinic settings will likely detect a range of undiagnosed retinal abnormalities, most related to patient demographics and comorbidities and, except for PPA, not associated with SDB. PPA may be indicative of glaucoma, and any association with severe SDB should be confirmed in larger prospective studies.
Authors: Frank L Brodie; Emily S Charlson; Tomas S Aleman; Rebecca T Salvo; Dina Y Gewaily; Marisa K Lau; Neil D Farren; Stephanie B Engelhard; Maxwell Pistilli; Alexander J Brucker Journal: Retina Date: 2015-02 Impact factor: 4.256
Authors: Chamara V Senaratna; Jennifer L Perret; Caroline J Lodge; Adrian J Lowe; Brittany E Campbell; Melanie C Matheson; Garun S Hamilton; Shyamali C Dharmage Journal: Sleep Med Rev Date: 2016-07-18 Impact factor: 11.609
Authors: Richard B Berry; Rohit Budhiraja; Daniel J Gottlieb; David Gozal; Conrad Iber; Vishesh K Kapur; Carole L Marcus; Reena Mehra; Sairam Parthasarathy; Stuart F Quan; Susan Redline; Kingman P Strohl; Sally L Davidson Ward; Michelle M Tangredi Journal: J Clin Sleep Med Date: 2012-10-15 Impact factor: 4.062