Analysis of the Optic Nerve Head and RNFL Thickness Using Optical Coherence Tomography in Diabetes

2022

JPM

Globally, dementia is one of the highest priority public health policy issues. This study was conducted to analyze the spatial distribution pattern of dementia prevalence using geographic weighted regression analysis and to identify preventable risk factors at the regional level of dementia prevalence. For the data to be analyzed, this work used the 2020 regional dementia prevalence index of the Korea Central Dementia Center and the regional health statistics of the Korea Centers for Disease Control and Prevention Agency (KDCA). Spatial autocorrelation analysis, hot spot analysis, and geographic weighted regression analysis were performed to identify regional associations of dementia prevalence, cluster regions with high dementia prevalence, and risk factors for regional dementia prevalence. As a result of the hot spot analysis, the regions corresponding to the hot spots with the high prevalence of dementia were found to be adjacent to each other, such as in Jeonnam, Jeonbuk, and Gyeongbuk, and the regions corresponding to the cold spots with the low prevalence of dementia were adjacent to each other, such as Seoul, Gyeonggi, Incheon, Busan, and Ulsan. The results of geographic weighted regression analysis showed that educational level, walking practice rate, hypertension prevalence, and a low-sodium diet preference were found to be risk factors for the prevalence of dementia. These results suggest that there is a need for a dementia prevalence management strategy to increase the walking practice rate and low-sodium diet preference rate, and decrease the hypertension prevalence, centering on the hot spot area, which is a cluster area with high dementia prevalence. This study is expected to be useful as basic data that can help in prioritizing health policies considering spatial characteristics for community health promotion.

Section: Discussionmentioning

confidence: 87%

A Predictive Model of Regional Dementia Prevalence Using Geographic Weighted Regression Analysis

Lim

2022

JPM

Correlation between Macular GCIPL Thickness and Visual Acuity after Resolution of Diabetic Macular Edema

J Korean Ophthalmol Soc

Lee²,

Kim

2015

Purpose:To evaluate the peripapillary retinal nerve fiber layer (pRNFL) thickness and macular ganglion cell-inner plexiform layer (mGCIPL) thickness in eyes with resolved diabetic macular edema (DME). Methods: Twenty eyes of diabetic retinopathy patients with resolved DME (DME group) after treatment, and 20 eyes of diabetic retinopathy patients without DME (no-DME group) were included in this study. The pRNFL thickness, mGCIPL thickness and central macular thickness (CMT) were measured using spectral-domain optical coherence tomography (SD-OCT). Analyses were performed to determine the correlation between the different thicknesses and the visual function. Results: No significant difference in mean CMT was observed between the DME and no-DME groups. Average pRNFL thickness in the DME group was thicker than in the no-DME group (p = 0.003). Average mGCIPL thickness in the DME group was thinner than in the no-DME group (p = 0.030). Final visual acuity was significantly correlated with average mGCIPL thickness and minimum mGCIPL thickness, but not pRNFL thickness and CMT in the DME group. Conclusions: mGCIPL thickness decreased in the DME group compared with the no-DME group and was correlated with the visual acuity. These results suggested that inner retinal injury in patients with DME might lead to poor visual outcome after treatment. J Korean Ophthalmol Soc 2015;56(9):1345-1352

Long-term Changes in the Peripapillary RNFL and Macular GCIPL Thicknesses after Panretinal Photocoagulation in Diabetic Retinopathy Patients

Yoon

J Korean Ophthalmol Soc

Kim

2018

Purpose: To investigate longitudinal changes in the thicknesses of the peripapillary retinal nerve fiber layer (pRNFL) and the macular ganglion cell-inner plexiform layer (mGCIPL) in patients with diabetic retinopathy 3 years after panretinal photocoagulation (PRP). Methods: We retrospectively reviewed the medical records of 60 eyes of 35 patients who were diagnosed with diabetic retinopathy and treated with PRP. The pRNFL and mGCIPL thicknesses were measured by optical coherence tomography at baseline, and then at 1, 3, 6, 9, 12, 24, and 36 months after PRP. Results: The pRNFL and mGCIPL thicknesses (average and all sections) at 1 year after PRP increased significantly from baseline (p < 0.05, respectively). The average pRNFL and mGCIPL thicknesses showed a tendency to decrease continuously from 2 years after PRP (p < 0.05, respectively). There was no statistically significant difference in the average thicknesses of the pRNFL and the mGCIPL between pre-PRP (92.27 ± 7.76 µm, and 85.00 ± 4.80 µm, respectively) and 3 years after PRP (93.93 ± 7.49 µm, and 81.87 ± 14.00 µm, respectively) (p = 0.121, and p = 0.622, respectively). Conclusions: Although the pRNFL and the mGCIPL thicknesses increased at 1 year after PRP, there was no statistical difference in the average thicknesses of the pRNFL and the mGCIPL between pre-PRP and 3 years after PRP. These results should be considered with respect to the diagnosis and progression of glaucoma in patients with diabetic retinopathy who undergo PRP.