CT was thinner throughout the macula in the RPD group as compared with the non-RPD group. The current analysis supports an association between RPD and a thinned choroidal layer and is consistent with a choroidal etiology of RPD. CT may be integral to understanding RPD, and may be helpful in stratifying AMD progression risk.

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Precis: Pegasus outperformed 5 of the 6 ophthalmologists in terms of diagnostic performance, and there was no statistically significant difference between the deep learning system and the “best case” consensus between the ophthalmologists. The agreement between Pegasus and gold standard was 0.715, whereas the highest ophthalmologist agreement with the gold standard was 0.613. Furthermore, the high sensitivity of Pegasus makes it a valuable tool for screening patients with glaucomatous optic neuropathy. Purpose: The purpose of this study was to evaluate the performance of a deep learning system for the identification of glaucomatous optic neuropathy. Materials and Methods: Six ophthalmologists and the deep learning system, Pegasus, graded 110 color fundus photographs in this retrospective single-center study. Patient images were randomly sampled from the Singapore Malay Eye Study. Ophthalmologists and Pegasus were compared with each other and to the original clinical diagnosis given by the Singapore Malay Eye Study, which was defined as the gold standard. Pegasus’ performance was compared with the “best case” consensus scenario, which was the combination of ophthalmologists whose consensus opinion most closely matched the gold standard. The performance of the ophthalmologists and Pegasus, at the binary classification of nonglaucoma versus glaucoma from fundus photographs, was assessed in terms of sensitivity, specificity and the area under the receiver operating characteristic curve (AUROC), and the intraobserver and interobserver agreements were determined. Results: Pegasus achieved an AUROC of 92.6% compared with ophthalmologist AUROCs that ranged from 69.6% to 84.9% and the “best case” consensus scenario AUROC of 89.1%. Pegasus had a sensitivity of 83.7% and a specificity of 88.2%, whereas the ophthalmologists’ sensitivity ranged from 61.3% to 81.6% and specificity ranged from 80.0% to 94.1%. The agreement between Pegasus and gold standard was 0.715, whereas the highest ophthalmologist agreement with the gold standard was 0.613. Intraobserver agreement ranged from 0.62 to 0.97 for ophthalmologists and was perfect (1.00) for Pegasus. The deep learning system took ∼10% of the time of the ophthalmologists in determining classification. Conclusions: Pegasus outperformed 5 of the 6 ophthalmologists in terms of diagnostic performance, and there was no statistically significant difference between the deep learning system and the “best case” consensus between the ophthalmologists. The high sensitivity of Pegasus makes it a valuable tool for screening patients with glaucomatous optic neuropathy. Future work will extend this study to a larger sample of patients.

PURPOSE.To compare choroidal thickness and retinal macular volume (RMV) among three groups of women: severe preeclampsia postpartum, normotensive postpartum, and normotensive nongravid. While visual disturbances often accompany severe preeclampsia, the underlying choroidal and retinal changes responsible for these symptoms have not been described.METHODS. This case-control study was based on 15 severe preeclampsia cases and 15 ethnicityand parity-matched normotensive controls recruited during the postpartum hospital stay. A reference group of 19 age-matched, nongravid, normotensive women was also studied. Choroidal thickness and RMV were measured by using enhanced depth imaging spectraldomain optical coherence tomography. Two retinal specialists, one of whom was masked to the case-control status, reviewed all images.RESULTS. Severe preeclampsia cases demonstrated greater mean choroidal thickness (425 6 90 lm vs. 354 6 140 lm; P ¼ 0.021) and RMV (9.0 6 0.4 mm 3 vs. 8.7 6 0.5 mm 3 ; P ¼ 0.006) than controls. In contrast, control and reference groups were similar with respect to choroidal thickness (354 6 140 lm vs. 363 6 82 lm; P ¼ 0.764) and RMV (8.7 6 0.5 mm 3 vs. 8.8 6 0.4 mm 3 ; P ¼ 0.870). Follow-up imaging of two severe preeclampsia cases within 3 months of delivery revealed decreasing choroidal thickness.CONCLUSIONS. Our results demonstrate subclinical retinal and choroidal thickening in the setting of severe preeclampsia. This is the likely source of its associated visual phenomena and may reflect rising levels of vascular endothelial growth factor. Retinal and choroidal markers could serve as novel predictive markers of severe preeclampsia.

Purpose: To determine the prevalence and risk factors of exposure keratopathy (EK) across different intensive care units (ICU) at Columbia University Medical Center, including the Pediatric ICU (PICU), Medical ICU (MICU), and Neurologic ICU (NICU). Methods: In this prospective cohort study, 65 patients were examined daily during their admission in the PICU (27 patients), MICU (15 patients), and NICU (23 patients). Data on eyelid position, conjunctival and corneal changes, Bell's and blink reflexes, medications, Glasgow Coma Scale rating, and ventilation type were collected. Results: Overall EK percentages were as follows: PICU 19%, MICU 60%, and NICU 48%. The prevalence of EK was lowest in the PICU (P = 0.013). Factors associated with EK were lagophthalmos (P < 0.001), an absent Bell's reflex (P = 0.003), an absent blink reflex (P < 0.001), conjunctival injection (P < 0.001), a low Glasgow Coma Scale score (P < 0.001), intubation (P < 0.001), surgery before examination (P < 0.001), dialysis (P = 0.002), and administration of opioid (P < 0.001), sedative (P < 0.001), and neuromuscular blocking medications (P = 0.006). Conclusions: This is the first study to examine the rates and risk factors of EK across different ICU settings. The prevalence of EK was lowest in the PICU, which may partly be explained by the increased number of PICU patients receiving noninvasive ventilation and the absence of conjunctival chemosis.