scholarly journals Cross-Sectional Study of the Retinal Nerve Fiber Layer Thickness at 7 Years After an Acute Episode of Unilateral Primary Acute Angle Closure

Medicine ◽  
2015 ◽  
Vol 94 (2) ◽  
pp. e391 ◽  
Author(s):  
Jacky W.Y. Lee ◽  
Tiffany T.Y. Woo ◽  
Gordon S.K. Yau ◽  
Stan Yip ◽  
Doris W.F. Yick ◽  
...  
2019 ◽  
Author(s):  
Jacoba Alida van de Kreeke ◽  
Nienke Legdeur ◽  
Maryam Badissi ◽  
H. Ton Nguyen ◽  
Elles Konijnenberg ◽  
...  

Abstract Background: Ocular imaging receives much attention as a source of potential biomarkers for dementia. In the present study, we analyze these ocular biomarkers in cognitively impaired and healthy participants in a population aged over 90 years (= nonagenarian), and elucidate the effects of age on these biomarkers. Methods: For this prospective cross-sectional study, we included individuals from the EMIF-AD 90+ study, consisting of a cognitively healthy (N=67) and cognitively impaired group (N=33), and the EMIF-AD PreclinAD study, consisting of cognitively healthy controls aged ≥60 (N=198). Participants underwent Optical Coherence Tomography (OCT) and fundus photography of both eyes. OCT was used to asses total and individual inner retinal layer thickness in the macular region (Early Treatment Diabetic Retinopathy Study circles) as well as peripapillary retinal nerve fiber layer thickness, fundus images were analyzed with Singapore I Vessel Assessment to obtain 7 retinal vascular parameters. Values for both eyes were averaged. Differences in ocular biomarkers between the 2 nonagenarian groups were analyzed using linear regression, differences between the individual nonagenarian groups and controls were analyzed using generalized estimating equations. Results: Ocular biomarkers did not differ between the healthy and cognitively impaired nonagenarian groups. Both nonagenarian groups differed in most ocular biomarkers from the younger controls. Conclusion: Ocular biomarkers were not associated with cognitive impairment in nonagenarians, making their use as a screening tool for dementing disorders in this group limited. However, ocular biomarkers were significantly associated with chronological age, which were very similar to those ascribed to occur in Alzheimer’s Disease.


2020 ◽  
Author(s):  
Jacoba Alida van de Kreeke ◽  
Nienke Legdeur ◽  
Maryam Badissi ◽  
H. Ton Nguyen ◽  
Elles Konijnenberg ◽  
...  

Abstract Background: Ocular imaging receives much attention as a source of potential biomarkers for dementia. In the present study, we analyze these ocular biomarkers in cognitively impaired and healthy participants in a population aged over 90 years (= nonagenarian), and elucidate the effects of age on these biomarkers. Methods: For this prospective cross-sectional study, we included individuals from the EMIF-AD 90+ study, consisting of a cognitively healthy (N=67) and cognitively impaired group (N=33), and the EMIF-AD PreclinAD study, consisting of cognitively healthy controls aged ≥60 (N=198). Participants underwent Optical Coherence Tomography (OCT) and fundus photography of both eyes. OCT was used to asses total and individual inner retinal layer thickness in the macular region (Early Treatment Diabetic Retinopathy Study circles) as well as peripapillary retinal nerve fiber layer thickness, fundus images were analyzed with Singapore I Vessel Assessment to obtain 7 retinal vascular parameters. Values for both eyes were averaged. Differences in ocular biomarkers between the 2 nonagenarian groups were analyzed using linear regression, differences between the individual nonagenarian groups and controls were analyzed using generalized estimating equations. Results: Ocular biomarkers did not differ between the healthy and cognitively impaired nonagenarian groups. Both nonagenarian groups differed in most ocular biomarkers from the younger controls. Conclusion: Ocular biomarkers were not associated with cognitive impairment in nonagenarians, making their use as a screening tool for dementing disorders in this group limited. However, ocular biomarkers were significantly associated with chronological age, which were very similar to those ascribed to occur in Alzheimer’s Disease.


2020 ◽  
pp. 112067212094654
Author(s):  
Riham SHM Allam ◽  
Rasha Mounir Eltanamly ◽  
Karim Adly Raafat

Purpose: to describe peripapillary vascular changes using Optical Coherence Tomography Angiography (OCT-A) in patients with acute angle closure crisis (AACC) and primary-angle closure-suspects (PACS) in comparison to normal controls. Methods: This cross-sectional/case-control/non-randomized study was conducted at Cairo University Hospitals. It included 21 eyes following AACC, 21 eyes of PACS and 32 eyes of age-matched-controls. Participants underwent visual field (VF) examination, retinal nerve fiber layer (RNFL) assessment using spectral-domain-OCT (SD-OCT), and radial peripapillary capillary density (RPC%) using OCT-A. Results: There was a statistically significant difference in MD and PSD among the three groups ( p ⩽ 0.001). There was a significant difference in mean RNFL among the three groups ( p ⩽ 0.001), this decrease was still present when comparing the AACC group to controls p = 0.032. There was a significant decrease in the peripapillary RPC% in all groups p ⩽ 0.001. The correlation between structure, function and flow was studied for all groups. Peripapillary RPC% in AACC was positively correlated to MD and peripapillary RNFL ( p ⩽ 0.001). In PACS, RPC% was positively correlated to RNFL ( p = 0.012). In controls, RPC% was positively correlated to PSD and peripapillary RNFL ( p ⩽ 0.001). AUC was 0.8 for the MD, 0.56 for the RPC and 0.38 for the RNFL Conclusions: Peripapillary vessel density was lower in AACC eyes than in suspects and control eyes. OCT-A parameters could be a more sensitive marker than OCT parameters after an AACC attack as evident on ROC analysis. PACS remains a clinical diagnosis as we could not find any significant differences in OCT or OCT-A parameters between suspects and normal healthy controls.


Ophthalmology ◽  
2004 ◽  
Vol 111 (8) ◽  
pp. 1475-1479 ◽  
Author(s):  
Tin Aung ◽  
Rahat Husain ◽  
Gus Gazzard ◽  
Yiong-Huak Chan ◽  
Joseph G Devereux ◽  
...  

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