Correlation of morphological pattern of optical coherence tomography in diabetic macular edema with systemic risk factors in middle aged males

2014 ◽  
Vol 35 (1) ◽  
pp. 3-10 ◽  
Author(s):  
Sambuddha Ghosh ◽  
Preeti Bansal ◽  
Harsha Shejao ◽  
Raghuraj Hegde ◽  
Debesh Roy ◽  
...  

Diabetic retinopathy (DR) is an increasingly common health problem in our country as it is all over the world. DR is a leading cause of loss of vision patients at a productive age. Current treatment of diabetic macular edema (DME) is distressing, expensive, and not suitable for some patient subgroups. For this reason, the development and progression of DR and DME are affected by many systemic risk factors. It is important to increase the understanding of these responsible risk factors and develop preventive strategies. However, the presence of systemic risk factors is inadequate to predict the progression of the disease on an individual basis. It indicates the presence of a genetic effect. In this review, we have summarized the known systemic risk factors as well as the genetic basis of the disease under the light of genetic studies.


2014 ◽  
Vol 6 (1) ◽  
pp. 123-124
Author(s):  
Aditi Gupta ◽  
Rajiv Raman ◽  
Tarun Sharma

DOI: http://dx.doi.org/10.3126/nepjoph.v6i1.10786 Nepal J Ophthalmol 2014; 6 (2): 123-124


2013 ◽  
Vol 5 (2) ◽  
pp. 190-194 ◽  
Author(s):  
Mohammadreza Ahmadpour-Baghdadabad ◽  
Masoudreza Manaviat ◽  
Ahmad Shojaoddiny-Ardekani

Introduction: Diabetic Macular Edema (DME) is an important cause of vision loss in diabetic retinopathy. Optical Coherence Tomography (OCT) is a non-invasive modality that produces high-resolution images of retinal layers. Objective: To evaluate the prevalence of DME patterns and their association with risk factors and visual acuity. Materials and Methods: In this cross-sectional study, type 2 diabetics with macular edema referred to our center during a ten-month period underwent OCT. Patients with macular edema due to causes other than diabetes and with OCT images of improper quality were excluded from the study. Four distinct patterns were found in the OCT images. A questionnaire including age, sex, duration of diabetes, serum TG and cholesterol, HbA1c, BMI and visual acuity, as well as the findings of OCT images were filled for the subjects. Results: Eighty-six eyes from 46 patients were evaluated. The most and the least common patterns were sponge-like retinal swelling (SLRS) and posterior hyaloidal traction (PHT) found in 64.0% and 5.8% of the subjects, respectively. A sub-retinal fluid pattern was more common in males (p=0.011) and in patients with serum TG > 200mg/dl (p=0.037). There were significant associations between central foveal (r=0.45, p<0.001), nasal (r=0.35, p=0.001) and temporal (r=0.32, p=0.003) thicknesses with visual acuity. Moreover, the highest thickness (462.4±119.2μm) and also the worst visual acuity (1.0±0.5logMAR) pertained to the cystoid macular edema (CME) pattern. Conclusion: Our study showed that the most common OCT pattern of DME is the sponge-like retinal swelling, while posterior hyaloidal traction has the lowest prevalence. A higher foveal thickness and a lower visual acuity are seen in the CME pattern. Nepal J Ophthalmol 2013; 5(10): 190-194 DOI: http://dx.doi.org/10.3126/nepjoph.v5i2.8727


2021 ◽  
Author(s):  
Manisha Agarwal ◽  
Mani Sachdeva ◽  
Shalin Shah ◽  
Rajiv Raman ◽  
Padmaja Kumari Rani ◽  
...  

Abstract PurposeTo correlate Optical coherence tomography (OCT) based morphological patterns of diabetic macular edema (DME), prognostic biomarkers and grade of diabetic retinopathy (DR) in patients with various stages of chronic kidney disease (CKD) secondary to diabetes. DesignMulticentric retrospective cross-sectional study conducted at seven centres across India.MethodsData from medical records of patients with DME and CKD was entered in a common excel sheet across all seven centers. Staging of CKD was based on estimated glomerular filtration rate (eGFR). ResultsThe most common morphological pattern of DME was cystoid pattern (42%) followed by the mixed pattern (31%). The proportion of different morphological patterns did not significantly vary across various CKD stages (p=0.836). Presence of external limiting membrane-ellipsoid zone (ELM-EZ) defects (p<0.001) and foveal sub-field thickness (p=0.024) showed a direct correlation with the stage of CKD which was statistically significant. Presence of hyper reflective dots (HRD) and disorganization of inner retinal layers (DRIL) showed no significant correlation with the stage of CKD. Sight threatening DR was found to increase from 70% in CKD stage-3 to 82% in stage-4 and 5 of CKD and this was statistically significant (p=0.03).ConclusionsCystoid morphological pattern followed by mixed type was the most common pattern of DME on OCT found in patients suffering from stage 3 to 5 of CKD. However, the morphological patterns of DME did not significantly vary across various CKD stages. ELM-EZ defects may be considered as an important OCT biomarker for advanced stage of CKD.


2021 ◽  
Vol 12 ◽  
Author(s):  
Binxin Xu ◽  
Jiahui Chen ◽  
Shaohua Zhang ◽  
Shengli Shen ◽  
Xuan Lan ◽  
...  

Diabetic retinopathy, the most serious ocular complication of diabetes, imposes a serious economic burden on society. Automatic and objective assessment of vessel changes can effectively manage diabetic retinopathy and prevent blindness. Optical coherence tomography angiography (OCTA) metrics have been confirmed to be used to assess vessel changes. The accuracy and reliability of OCTA metrics are restricted by vessel segmentation methods. In this study, a multi-branch retinal vessel segmentation method is proposed, which is comparable to the segmentation results obtained from the manual segmentation, effectively extracting vessels in low contrast areas and improving the integrity of the extracted vessels. OCTA metrics based on the proposed segmentation method were validated to be reliable for further analysis of the relationship between OCTA metrics and diabetes and the severity of diabetic retinopathy. Changes in vessel morphology are influenced by systemic risk factors. However, there is a lack of analysis of the relationship between OCTA metrics and systemic risk factors. We conducted a cross-sectional study that included 362 eyes of 221 diabetic patients and 1,151 eyes of 587 healthy people. Eight systemic risk factors were confirmed to be closely related to diabetes. After controlling these systemic risk factors, significant OCTA metrics (such as vessel complexity index, vessel diameter index, and mean thickness of retinal nerve fiber layer centered in the macular) were found to be related to diabetic retinopathy and severe diabetic retinopathy. This study provides evidence to support the potential value of OCTA metrics as biomarkers of diabetic retinopathy.


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