Significant Macular Edema Research Articles

Multifocal electroretinogram changes after panretinal photocoagulation in early proliferative diabetic retinopathy.

Panretinal photocoagulation (PRP) impacts macular function in eyes with early proliferative diabetic retinopathy (PDR). Herein, we used the multifocal electroretinogram (mfERG) to objectively investigate this concept. In this prospective interventional case series, we enrolled patients with treatment-naive early PDR, absence of clinically significant macular edema, and requirement for PRP. All participants underwent detailed ocular examinations. We measured the best-corrected distance visual acuity (BCDVA), conducted optical coherence tomography imaging to measure central macular thickness (CMT), and performed mfERG at baseline and 3 months post-PRP. Amplitude and latency of the mfERG response were evaluated within the innermost four of the five concentric rings. We enrolled 29 eyes of 23 patients with a mean (standard deviation) age of 54.3 (8.8) years and male-to-female ratio of 1:1.3. The mean BCDVA was unchanged post-treatment (P > 0.05), and the BCDVA in 26 eyes (89.7%) was either improved or unchanged, whereas in three eyes (10.3%) it decreased. The mean CMT was unchanged post-PRP (P > 0.05). Concerning the mfERG, the mean P1 amplitudes decreased significantly in all four concentric rings from the foveola at 3 months post-PRP compared with baseline values (all P < 0.05); however, the latencies were unchanged (all P > 0.05). At baseline, BCDVA correlated significantly with both the amplitude (r = + 0.55; P < 0.05) and latency (r = - 0.38; P < 0.05) of the mfERG in the central ring, whereas a significant correlation was detected with only the amplitude at 3 months post-PRP (r = + 0.52; P < 0.05). Macular function was decreased 3 months post-PRP in patients with early PDR, as indicated by decreased amplitude of the mfERG, whereas the functional and anatomical parameters were stable. The mfERG served as an objective tool for measuring retinal function and predicting visual outcomes post-PRP in eyes with early PDR. A higher amplitude in the mfERG correlated substantially with a better visual outcome post-PRP. Further multi-center longitudinal studies with robust designs including different PDR severity levels may reveal additional objective after-effects of PRP.

Is longer axial length protective of vision-threatening diabetic retinopathy across different ages? A multicenter cohort of 736 patients

PurposeVision-threatening diabetic retinopathy (VTDR) included severe non-proliferative diabetic retinopathy (NPDR), proliferative diabetic retinopathy (PDR) and clinically significant diabetic macular edema (DME). To compare the axial length (AL) and assess its influence on VTDR across different ages.MethodsA retrospective cohort study. Medical chart review was performed in 736 consecutive patients with VTDR. The patients were divided into young (≤ 45 years) and elderly group (> 45 years) based on their age at the diagnosis of VTDR. After at least one year of standardized treatments, all eligible patients were followed up. The main outcome measures included the presence of tractional retinal detachment (TRD) involving foveal, final best-corrected visual acuity (BCVA), the development of neovascular glaucoma (NVG), and recurrent vitreous hemorrhage (VH) post-vitrectomy. ALs were compared between two age groups. The impact of AL on clinical outcomes was determined by logistic analyses after controlling for systemic parameters.ResultsThe study included 144 patients ≤ 45 years and 592 patients > 45 years. Young patients had significantly longer AL than elderly participants (23.9 mm vs 23.0 mm, p < 0.001). Over a median follow-up of 25.9 months, a larger proportion of young patients developed TRD (34.7% vs 16.2%, p < 0.001) and recurrent VH (18.6% vs 10.3%, p = 0.040) than elderly patients. In elderly group, longer AL is an independent protective factor in preventing TRD (odds ratio [OR], 0.5; 95% confidence interval [CI], 0.4–0.7; P < 0.001). However, this beneficial effect was not observed in young patients.ConclusionsYoung patients with VTDR exhibited significantly longer AL but more aggressive clinical signs with compromised prognosis. In elderly group, a longer AL independently reduced the risk of TRD, while this protective effect did not exist for young patients.

Characterization and Automatic Discrimination between Predominant Hypoperfusion and Hyperperfusion Stages of NPDR.

Diabetic retinopathy (DR) is a common diabetes complication that can lead to blindness through vision-threatening complications like clinically significant macular edema and proliferative retinopathy. Identifying eyes at risk of progression using non-invasive methods could help develop targeted therapies to halt diabetic retinal disease progression. A set of 82 imaging and systemic features was used to characterize the progression of nonproliferative diabetic retinopathy (NPDR). These features include baseline measurements (static features) and those capturing the temporal dynamic behavior of these static features within one year (dynamic features). Interpretable models were trained to distinguish between eyes with Early Treatment Diabetic Retinopathy Study (ETDRS) level 35 and eyes with ETDRS levels 43-47. The data used in this research were collected from 109 diabetic type 2 patients (67.26 ± 2.70 years; diabetes duration 19.6 ± 7.26 years) and acquired over 2 years. The characterization of the data indicates that NPDR progresses from an initial stage of hypoperfusion to a hyperperfusion response. The performance of the classification model using static features achieved an area under the curve (AUC) of the receiver operating characteristics equal to 0.84 ± 0.07, while the model using both static and dynamic features achieved an AUC of 0.91 ± 0.05. NPDR progresses through an initial hypoperfusion stage followed by a hyperperfusion response. Characterizing and automatically identifying this disease progression stage is valuable and necessary. The results indicate that achieving this goal is feasible, paving the way for the improved evaluation of progression risk and the development of better-targeted therapies to prevent vision-threatening complications.

Correlation of gut microbial diversity to sight-threatening diabetic retinopathy

PurposeTo determine the association of gut microbiome diversity and sight-threatening diabetic retinopathy (STDR) amongst patients with pre-existing diabetes.MethodsA cross-sectional study was performed, wherein 54 participants selected in total were placed into cases cohort if diagnosed with STDR and those without STDR but had a diagnosis of diabetes mellitus of at least 10-year duration were taken as controls. Statistical analysis comparing the gut microbial alpha diversity between cases and control groups as well as patients differentiated based on previously hypothesized Bacteroidetes/Firmicutes(B/F) ratio with an optimal cut-off 1.05 to identify patients with STDR were performed.ResultsComparing gut microbial alpha diversity did not show any difference between cases and control groups. However, statistically significant difference was noted amongst patients with B/F ratio ≥1.05 when compared to B/F ratio < 1.05; ACE index [Cut-off < 1.05:773.83 ± 362.73; Cut-off > 1.05:728.03 ± 227.37; p-0.016]; Chao1index [Cut-off < 1.05:773.63 ± 361.88; Cut-off > 1.05:728.13 ± 227.58; p-0.016]; Simpson index [Cut-off < 1.05:0.998 ± 0.001; Cut-off > 1.05:0.997 ± 0.001; p-0.006]; Shannon index [Cut-off < 1.05:6.37 ± 0.49; Cut-off > 1.05:6.10 ± 0.43; p-0.003]. Sub-group analysis showed that cases with B/F ratio ≥ 1.05, divided into proliferative diabetic retinopathy (PDR) and clinically significant macular edema (CSME), showed decreased diversity compared to controls (B/F ratio < 1.05). For PDR, all four diversity indices significantly decreased (p < 0.05). However, for CSME, only Shannon and Simpson indices showed significant decrease in diversity (p < 0.05).ConclusionsBased on clinical diagnosis, decreasing gut microbial diversity was observed among patients with STDR, although not statistically significant. When utilizing B/F ratio, the decreasing gut microbial diversity in STDR patients seems to be associated due to species richness and evenness in PDR when compared to decreasing species richness in CSME.

Advancing healthcare with artificial intelligence: diagnostic accuracy of machine learning algorithm in diagnosis of diabetic retinopathy in the Brazilian population

BackgroundIn healthcare systems in general, access to diabetic retinopathy (DR) screening is limited. Artificial intelligence has the potential to increase care delivery. Therefore, we trained and evaluated the diagnostic accuracy of a machine learning algorithm for automated detection of DR.MethodsWe included color fundus photographs from individuals from 4 databases (primary and specialized care settings), excluding uninterpretable images. The datasets consist of images from Brazilian patients, which differs from previous work. This modification allows for a more tailored application of the model to Brazilian patients, ensuring that the nuances and characteristics of this specific population are adequately captured. The sample was fractionated in training (70%) and testing (30%) samples. A convolutional neural network was trained for image classification. The reference test was the combined decision from three ophthalmologists. The sensitivity, specificity, and area under the ROC curve of the algorithm for detecting referable DR (moderate non-proliferative DR; severe non-proliferative DR; proliferative DR and/or clinically significant macular edema) were estimated.ResultsA total of 15,816 images (4590 patients) were included. The overall prevalence of any degree of DR was 26.5%. Compared with human evaluators (manual method of diagnosing DR performed by an ophthalmologist), the deep learning algorithm achieved an area under the ROC curve of 0.98 (95% CI 0.97–0.98), with a specificity of 94.6% (95% CI 93.8–95.3) and a sensitivity of 93.5% (95% CI 92.2–94.9) at the point of greatest efficiency to detect referable DR.ConclusionsA large database showed that this deep learning algorithm was accurate in detecting referable DR. This finding aids to universal healthcare systems like Brazil, optimizing screening processes and can serve as a tool for improving DR screening, making it more agile and expanding care access.

Evaluation of an AI algorithm trained on an ethnically diverse dataset to screen a previously unseen population for diabetic retinopathy.

This study aimed to determine the generalizability of an artificial intelligence (AI) algorithm trained on an ethnically diverse dataset to screen for referable diabetic retinopathy (RDR) in the Armenian population unseen during AI development. This study comprised 550 patients with diabetes mellitus visiting the polyclinics of Armenia over 10 months requiring diabetic retinopathy (DR) screening. The Medios AI-DR algorithm was developed using a robust, diverse, ethnically balanced dataset with no inherent bias and deployed offline on a smartphone-based fundus camera. The algorithm here analyzed the retinal images captured using the target device for the presence of RDR (i.e., moderate non-proliferative diabetic retinopathy (NPDR) and/or clinically significant diabetic macular edema (CSDME) or more severe disease) and sight-threatening DR (STDR, i.e., severe NPDR and/or CSDME or more severe disease). The results compared the AI output to a consensus or majority image grading of three expert graders according to the International Clinical Diabetic Retinopathy severity scale. On 478 subjects included in the analysis, the algorithm achieved a high classification sensitivity of 95.30% (95% CI: 91.9%-98.7%) and a specificity of 83.89% (95% CI: 79.9%-87.9%) for the detection of RDR. The sensitivity for STDR detection was 100%. The study proved that Medios AI-DR algorithm yields good accuracy in screening for RDR in the Armenian population. In our literature search, this is the only smartphone-based, offline AI model validated in different populations.

Transient Macular Edema after Uncomplicated Cataract Surgery: Below the Surface

To present analysis of 17 case reports of 17 patients who had an acute transient macular edema appeared after uneventful cataract surgery. Observations: In literature about 12 case series of toxic macular edema development after cataract surgery are described and all of them were accompanied by the cefuroxime intracameral usage. Also, there are reports of macular edema development after several weeks after uncomplicated phacoemulsification due to pseudophakic cystoid macular edema (Irvine-Gass syndrome) or due to vitreomacular traction syndrome. We observed a series of transient acute macular edema with 3,8% incidence occurring on the first days after uncomplicated phacoemulsification with IOL implantation that had no signs of vitreomacular traction or acute inflammation. Optical coherence tomography (OCT) was performed on patients complaining on blur vision and who had signs of macular edema by ophthalmoscopy. By OCT high and often extensive neuroepithelium and local pigment epithelium detachments were observed on the first day after surgery in 17 patients with quiet postoperative condition of the eye. The edema resolved on the 3-6-th day by standard phaco accompanying pharmacological treatment. In most cases posterior vitreous cortex was adjacent to the retina except 3 patients with posterior vitreous detachment in macular area. We found a paper by Costen M.T.J. et al. (2007) about the same striking appearance of maculopathy called by authors “A-sign” maculopathy because of A-shaped pattern on OCT images in 3 patients after routine cataract surgery. Yaman A (2008) and Panagiotidis D (2010) also reported same findings after uncomplicated cataract surgery. We compared our findings with 3 papers mentioned above, as well as with typical pseudophakic cystoid macular edema (CME) and vitreomacular traction syndrome. Conclusion: It’s obvious that observed case series are cefuroxime induced. But its comparison with CME in terms of morphology of the macula could improve our understanding of mechanisms of the interstitial fluid flow in the eye tissues.

Incidence and Remission of Post‐Surgical Cystoid Macular Edema Following Cataract Surgery in Eyes With Intraocular Inflammation

To evaluate the incidence, remission, and relapse of post-surgical cystoid macular edema (PCME) following cataract surgery in inflammatory eye disease. A total of 1859 eyes that had no visually significant macular edema prior to cataract surgery while under tertiary uveitis management were included. Standardized retrospective chart review was used to gather clinical data. Univariable and multivariable logistic regression models with adjustment for inter-eye correlations were performed. PCME causing VA 20/50 or worse was reported in 286 eyes (15%) within 6 months of surgery. Adults age 18-64 years as compared to children (adjusted odds ratio [aOR] = 2.42, for ages 18 to 44 years and aOR = 1.93 for ages 45 to 64 years, overall P = .02); concurrent use of systemic immunosuppression (conventional aOR 1.53 and biologics aOR = 2.68, overall P = .0095); preoperative VA 20/50 or worse (overall P < .0001); cataract surgery performed before 2000 (overall P = .03) and PMCE in fellow eye (aOR = 3.04, P = .0004) were associated with development of PCME within 6 months of cataract surgery. PCME resolution was seen in 81% of eyes at 12 months and 91% of eyes at 24 months. CME relapse was seen in 12% eyes at 12 months and 19% eyes at 24 months. PCME occurs frequently in uveitic eyes undergoing cataract surgery; however, most resolve within a year. CME recurrences likely are due to the underlying disease process and not relapses of PCME.

Prevalence of Diabetic Retinopathy among Self-reported Newly Diagnosed Diabetics

Introduction: Diabetic Retinopathy (DR) poses a significant threat to individuals with diabetes, leading to visual impairment and blindness if not promptly addressed. This study focuses on the prevalence of diabetic retinopathy among self-reported newly diagnosed diabetics. Material method: This is a prospective study on 200 self-reported newly diagnosed diabetics from April 2022 to May 2023. Patient data, including complaints, diabetes duration, family history, hypertension, and therapy details, were comprehensively analyzed. Complete Ocular examinations including best-corrected visual acuity, intraocular pressure, slit lamp examination, fundus examinations, and Fundus fluorescein angiography were done. Diabetic Retinopathy was graded using a modified ETDRS grading system. Laboratory investigations included complete blood count, fasting and postprandial blood sugar, lipid profile, renal function test, and Hb1AC levels, providing a thorough assessment of patients’ ocular and systemic health. Result: Out of the 200 diabetics, 43.5% had diabetic retinopathy, with a slightly higher prevalence in males (44.64%) compared to females. The age group 50 - 59 had the highest prevalence (74.19%), and Hindus, Muslims, and other communities showed comparable percentages. Family history and hypertension were significant factors, with 88% of those with a family history developing retinopathy. NPDR was predominant (87.35%), while 12.64% had PDR. Clinically Significant Macular Edema (CSME) was present in 59.77%, with 80.76% of these cases having concomitant hypertension. Conclusion: The study emphasizes the imperative for early detection and comprehensive management of diabetic retinopathy among newly diagnosed diabetics. Age, gender, family history, and hypertension emerge as crucial determinants, advocating for integrated care and targeted screening programs to safeguard vision.

Characterization of central-involved diabetic macular edema using OCT and OCTA.

To characterize the occurrence of diabetic macular edema and the presence of abnormal retinal fluid accumulation in nonproliferative diabetic retinopathy (NPDR). In this two-year prospective study, a total of 122 eyes with diabetes type 2 underwent optical coherence tomography (OCT) and OCT-Angiography in association with OCT-Fluid imaging, a novel algorithm of OCT analysis allowing quantification of abnormal accumulation of fluid in the retina through low optical reflectivity ratios (LOR). Early Treatment Diabetic Retinopathy Study (ETDRS) grading for diabetic retinopathy (DR) severity assessment was performed using 7-field color fundus photography. Best corrected visual acuity was also recorded. During the 2-year follow-up, 23 eyes (19%) developed central-involved diabetic macular edema (CI-DME) and 2 eyes (2%) developed clinically significant macular edema (CSME). In the two-year period of the study, eyes that developed CI-DME showed a progressive increase in central retinal thickness (CRT) (β = 7.7 ± 2.1 µm/year, p < 0.001) and in LOR values (β = 0.009 ± 0.004 ratio/year, p = 0.027). The increase in CRT and abnormal retinal fluid, represented by increased LOR ratios, are associated with increased retinal perfusion in the deep capillary plexus (DCP) (skeletonized vessel density, p = 0.039). In contrast, the eyes with CSME showed decreased retinal perfusion and abnormal fluid located in the outer layers of the retina. CI-DME and CSME appear to represent different entities. Eyes with CI-DME show increases in abnormal retinal fluid associated with increased retinal vascular perfusion in the DCP. Eyes with CSME are apparently associated with decreased retinal vascular perfusion in the DCP and abnormal fluid in the outer retina.

A Comparative Study of Serum Lipid Profiles in Diabetic Patients with and without Clinically Significant Macular Oedema

Abstract Background: Diabetes mellitus (DM) is a major health hazard today. Clinically significant macular oedema (CSME) is the most frequent cause of decreased vision in diabetic patients. The aim of our study was to determine whether CSME in subjects with type 2 DM is associated with lipid profile abnormalities and to compare them with lipid profiles of type 2 diabetics without CSME. Method: This was a cross-sectional case-control study. Hundred consecutive type 2 diabetic patients, 50 patients with and 50 without CSME, who attended the Retina outpatient clinic of a tertiary eye hospital over a one-year period, were included. Determination of the presence of CSME and staging of diabetic retinopathy was done according to modified Early Treatment Diabetic Retinopathy Study guidelines, by a single investigator using slit-lamp biomicroscopy. After obtaining informed consent, blood was drawn from the subjects after overnight fasting. Investigations done were lipid profile, fasting blood sugar, glycated haemoglobin (HbA1c), blood urea, and blood pressure measurement. Results: In our study, only two systemic factors weighed in as predictors of macular oedema: Systolic hypertension and serum lipids. Subanalysis of the lipid fractions yielded two significant correlates of CSME: Total cholesterol and serum triglycerides. Conclusion: A multifaceted healthcare team approach is essential for the management of diabetic patients. Ophthalmologists should evaluate the lipid profile of all diabetic macular oedema (DME) patients. Physicians should promptly refer diabetic patients with deranged lipid profiles to ophthalmologists to look for DME and provide appropriate ophthalmic care.

Application of optical coherence tomography angiography in the assessment of diabetic macular edema staging and laser photocoagulation efficacy

ObjectiveThis study aimed to analyze the effect of optical coherence tomography angiography (OCTA) on diabetic macular edema (DME) staging and assess the efficacy of laser photocoagulation. MethodsEighty-six patients (141 eyes) with suspected DME who visited our hospital from August 2019 to March 2022 were selected and underwent fundus angiography and OCTA. The two examination methods were compared in terms of their efficacy in macular edema staging. Subsequently, the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of OCTA in diagnosing DME were assessed using fundus angiography as the gold standard. In patients with clinically significant macular edema (CSME) treated with laser photocoagulation, the central concave non-perfused zone (FAZ), vascular density (VD), central macular retinal thickness (CRT), whole retinal blood flow density (FD-300), superficial capillary plexus (SCP), and deep capillary plexus (DCP) were measured using the OCTA 3 mm × 3 mm mode before treatment, at 3 months after treatment, and at 6 months after treatment. SCP, deep capillary plexus (DCP), blood flow density (VD), best corrected visual acuity (BCVA), and central retinal thickness (CRT) were recorded before treatment, 3 months after treatment, and 6 months after treatment. The correlation between BCVA and pre-treatment OCTA parameters at 6 months after treatment was analyzed using Pearson's correlation. ResultsFundus angiography was performed in 86 patients (141 eyes) with suspected DME. Of the 141 eyes, 44 had no leakage, 52 had diffuse edema, 40 had focal macular edema, and 5 had eyes ischemia. A total of 97 eyes showed CSME on fundus angiography. Using fundus angiography as the gold standard, OCTA exhibited a sensitivity of 97.94 %, a specificity of 63.64 %, and an accuracy of 87.23 % in diagnosing CSME. The Kappa value between OCTA and fundus angiography was 0.674. The receiver operating characteristic curve revealed that the area under the curve (AUC) of OCTA in diagnosing CSME was 0.808 (95 % confidence interval: 0.717–0.899). The BCVA was higher, while the CRT was lower in CSME patients at 3 and 6 months after treatment (P<0.05). No significant difference was observed in the OCTA parameters in CSME patients at 3 months after treatment compared with that before treatment (P>0.05). Similarly, no significant difference was found in the FD300 of CSME patients at 6 months after treatment compared with that before treatment (P>0.05). However, the FAZ area, DCP-VD (overall, central concave, and paracentral concave), and SCP-VD (overall, central concave, and paracentral concave) were higher in CSME patients at 6 months after treatment compared with that before treatment (P<0.05). Pearson's correlation showed that BCVA was positively correlated with pre-treatment FAZ area, DCP-VD, and SCP-VD (r>0, P<0.05), and negatively associated with CRT (r<0, P<0.05). ConclusionOCTA exhibited high sensitivity and specificity in diagnosis and staging DME. It adeptly captures the microvascular and visual changes in the central macular recess before and after laser photocoagulation therapy, which can quantitatively guide the follow-up treatment of DME.

Head to head comparison of diagnostic performance of three non-mydriatic cameras for diabetic retinopathy screening with artificial intelligence

BackgroundDiabetic Retinopathy (DR) is a leading cause of blindness worldwide, affecting people with diabetes. The timely diagnosis and treatment of DR are essential in preventing vision loss. Non-mydriatic fundus cameras and artificial intelligence (AI) software have been shown to improve DR screening efficiency. However, few studies have compared the diagnostic performance of different non-mydriatic cameras and AI software.MethodsThis clinical study was conducted at the endocrinology clinic of Akdeniz University with 900 volunteer patients that were previously diagnosed with diabetes but not with diabetic retinopathy. Fundus images of each patient were taken using three non-mydriatic fundus cameras and EyeCheckup AI software was used to diagnose more than mild diabetic retinopathy, vision-threatening diabetic retinopathy, and clinically significant diabetic macular oedema using images from all three cameras. Then patients underwent dilation and 4 wide-field fundus photography. Three retina specialists graded the 4 wide-field fundus images according to the diabetic retinopathy treatment preferred practice patterns of the American Academy of Ophthalmology. The study was pre-registered on clinicaltrials.gov with the ClinicalTrials.gov Identifier: NCT04805541.ResultsThe Canon CR2 AF AF camera had a sensitivity and specificity of 95.65% / 95.92% for diagnosing more than mild DR, the Topcon TRC-NW400 had 95.19% / 96.46%, and the Optomed Aurora had 90.48% / 97.21%. For vision threatening diabetic retinopathy, the Canon CR2 AF had a sensitivity and specificity of 96.00% / 96.34%, the Topcon TRC-NW400 had 98.52% / 95.93%, and the Optomed Aurora had 95.12% / 98.82%. For clinically significant diabetic macular oedema, the Canon CR2 AF had a sensitivity and specificity of 95.83% / 96.83%, the Topcon TRC-NW400 had 98.50% / 96.52%, and the Optomed Aurora had 94.93% / 98.95%.ConclusionThe study demonstrates the potential of using non-mydriatic fundus cameras combined with artificial intelligence software in detecting diabetic retinopathy. Several cameras were tested and, notably, each camera exhibited varying but adequate levels of sensitivity and specificity. The Canon CR2 AF emerged with the highest accuracy in identifying both more than mild diabetic retinopathy and vision-threatening cases, while the Topcon TRC-NW400 excelled in detecting clinically significant diabetic macular oedema. The findings from this study emphasize the importance of considering a non mydriatic camera and artificial intelligence software for diabetic retinopathy screening. However, further research is imperative to explore additional factors influencing the efficiency of diabetic retinopathy screening using AI and non mydriatic cameras such as costs involved and effects of screening using and on an ethnically diverse population.

Vascular changes of the choroid and their correlations with visual acuity in diabetic retinopathy.

To investigate changes in the choroidal vasculature and their correlations with visual acuity in diabetic retinopathy (DR). The cohort was composed of 225 eyes from 225 subjects, including 60 eyes from 60 subjects with healthy control, 55 eyes from 55 subjects without DR, 46 eyes from 46 subjects with nonproliferative diabetic retinopathy (NPDR), 21 eyes from 21 subjects with proliferative diabetic retinopathy (PDR), and 43 eyes from 43 subjects with clinically significant macular edema (CSME). Swept-source optical coherence tomography (SS-OCT) was used to image the eyes with a 12-mm radial line scan protocol. The parameters for 6-mm diameters of region centered on the macular fovea were analyzed. Initially, a custom deep learning algorithm based on a modified residual U-Net architecture was utilized for choroidal boundary segmentation. Subsequently, the SS-OCT image was binarized and the Niblack-based automatic local threshold algorithm was employed to calibrate subfoveal choroidal thickness (SFCT), luminal area (LA), and stromal area (SA) by determining the distance between the two boundaries. Finally, the ratio of LA and total choroidal area (SA + LA) was defined as the choroidal vascularity index (CVI). The choroidal parameters in five groups were compared, and correlations of the choroidal parameters with age, gender, duration of diabetes mellitus (DM), glycated hemoglobin (HbA1c), fasting blood sugar, SFCT and best-corrected visual acuity (BCVA) were analyzed. The CVI, SFCT, LA, and SA values of patients with DR were found to be significantly lower compared to both healthy patients and patients without DR (P< 0.05). The SFCT was significantly higher in NPDR group compared to the No DR group (P < 0.001). Additionally, the SFCT was lower in the PDR group compared to the NPDR group (P = 0.014). Furthermore, there was a gradual decrease in CVI with progression of diabetic retinopathy, reaching its lowest value in the PDR group. However, the CVI of the CSME group exhibited a marginally closer proximity to that of the NPDR group. The multivariate regression analysis revealed a positive correlation between CVI and the duration of DM as well as LA (P < 0.05). The results of both univariate and multivariate regression analyses demonstrated a significant positive correlation between CVI and BCVA (P = 0.003). Choroidal vascular alterations, especially decreased CVI, occurred in patients with DR. The CVI decreased with duration of DM and was correlated with visual impairment, indicating that the CVI might be a reliable imaging biomarker to monitor the progression of DR.

Diabetic retinopathy screening using MII Ret Cam assisted smartphone-based fundus imaging

BackgroundDiabetes Mellitus is a tremendous health implication and is proposed to be the seventh leading cause of death in 2030 by WHO. Diabetic retinopathy is one of the top complications of diabetes leading to preventable blindness. This investigation highlights the importance of timely screening and counseling using MII Ret cCam-assisted smartphone-based fundus imaging. Our study is a boon for bed-ridden and seriously ill patients who could not be evaluated on a fundus camera. MethodsThis is an observational prospective study conducted at the Ophthalmology unit, wards, and intensive care unit (ICU) of a single tertiary teaching hospital between 1 May to 31 November 2022. A total of 268 subjects with diabetes were included. The fundus of all the diabetic patients during the study period were examined by a single-trained ophthalmologist. Those diagnosed with diabetic retinopathy were taken for acquisition of fundus picture with MII Ret Cam. Images were captured using Apple iPhone 5s and 20D mounted in MII Ret Cam device. ResultsOut of 268 subjects (536 eyes) screened during the study period,86 patients (154 eyes) were found to have DR. Maleto Female ratio was 1.4:1. The mean age was 56.37 ± 15.26 years and the mean duration of diabetes was 10.60 ± 6.97 years. Grading of DR revealed proliferative diabetic retinopathy (PDR) to be the topmost (n=84 eyes, 54.5%), followed by mild non-proliferative diabetic retinopathy (NPDR) in 26 eyes (16%) and moderate NPDR in 24 eyes (15%) while severe NPDR was seen in 10 eyes (6.5%) and very severe NPDR was found in 8 eyes (5.2%) and diabetic papillopathy in 2 eyes. Grading of vitreous hemorrhage revealed Grade 1 in one eye (1.8%); Grade 2 in 19 eyes (34.54%); Grade 3 in 33 eyes (60%) and Grade 4 in 2 eyes (3.63%). Grading of macular edema according to the distribution of hard exudates as Grade 1(No Clinically significant macular edema) in 33 eyes (34.37%) and Grade 2 (Clinically significant macular edema) in 63 eyes (65.62%). The duration of diabetes had a direct association with the occurrence of DR, 13patients (15.1%) had a duration of diabetes less than five years; 31patients(36%) had a duration of diabetes between 6 years to 10 years; 28 patients (32.6%) had a duration between 11 years to 20 years. 14 patients (16.3%) had a duration of more than twenty years. The Mean duration of diabetes in Group I was 11.40+/- 7.09 years and was 9.10+/- 6.48 in Group II. The mean HbA1c in Group I is 7.44+/- 1.24 and 6.54 +/- 1.09 in Group II. The mean fasting blood sugar in Group I was 130.87 +/- 29.57 and 106.62+/- 29.85 in Group II. The mean of random blood sugar was 202.15 +/- 60.84 in Group I and 155.13 +/- 55.95 in Group II. Results are suggestive of the association of DR occurrence with fasting, random blood sugar, duration of diabetes, and HbA1c. ConclusionsDiabetic Retinopathy Screening using MII Ret Cam assisted Smartphone-based fundus imaging may be a useful device to screen for referable and vision-threatening diabetic retinopathy. MII Ret Cam is portable equipment and is easily accessible to counsel patients in resource-limited countries.

Clinically significant macular edema in an underserved population: Association with demographic factors and hemoglobin A1c.

Suspected clinically significant macular edema (SCSME) from exudates differed among ethnic groups in our underserved population. African American and Asian subjects had higher prevalence than Hispanics and non-Hispanic Caucasians, from the same clinics. Men had higher prevalence than women. Highly elevated blood glucose was frequent and associated with SCSME. We investigated the association between the presence of SCSME from exudates and hemoglobin A1c (HbA1c), as well as demographic factors such as age, sex, and ethnic group. Our population was underserved diabetic patients from the same geographic locations. Ethnic groups were White Hispanic, non-Hispanic Caucasian, African American, and Asian, with a high proportion of underrepresented minorities. In a diabetic retinopathy screening study at four community clinics in Alameda County, California, nonmydriatic 45° color fundus images were collected from underserved diabetic subjects following the EyePACS imaging protocol. Images were analyzed for SCSME from exudates by two certified graders. Logistic regression assessed the association between SCSME from exudates and age, sex, ethnic group, and HbA1c. Of 1997 subjects, 147 (7.36%) had SCSME from exudates. The mean ± standard deviation age was 53.4 ± 10.5 years. The mean ± standard deviation HbA1c level was 8.26 ± 2.04. Logistic regression analysis indicated a significant association between presence of SCSME from exudates and HbA1c levels (p<0.001), sex (p=0.027), and ethnicity (p=0.030). African Americans (odds ratio [OR], 1.63; 95% confidence interval [CI], 1.06 to 2.50; p=0.025) and Asians (OR, 1.63; 95% CI, 1.05 to 2.54; p=0.029) had a higher risk than Hispanics. After adjusting for ethnicity, sex, and age, the odds of developing SCSME from exudates increased by 26.5% with every 1% increase in HbA1c level (OR, 1.26; 95% CI, 1.18 to 1.36; p<0.001). In our underserved population, many diabetic patients had very high HbA1c values. Ethnic background (African American > Asians > Hispanics), sex (male > female), and HbA1c level were strong indicators for identifying who is at increased risk of developing SCSME from exudates.

Phacoemulsification in patients with diabetic macular edema - A real-world data of 75 eyes.

The purpose of this study was to evaluate the outcomes of phacoemulsification with intravitreal triamcinolone acetonide (IVTA) injection in patients with cataract and diabetic macular edema (DME) across the grades of diabetic retinopathy (DR). It was a retrospective observational study. The study included 70 patients (75 eyes) with cataract and clinically significant macular edema in diabetics with nonproliferative (61 eyes) or proliferative (14 eyes) DR who underwent phacoemulsification with IVTA. Visual outcome and progression of DME over 3 months were studied in terms of the best-corrected visual acuity (BCVA) and central macular thickness (CMT), respectively. The case records of 70 patients (75 eyes) were studied. The mean baseline BCVA (n = 75) in the logMAR scale ± SD was 0.92 ± 0.53. 3 weeks after the surgery, the mean BCVA improved to 0.39 ± 0.26 and the mean CMT (n = 40) was 382.57 ± 192.30 compared with the mean preoperative CMT of 480.57 ± 163.25 in the same set (P = 0.01). The mean CMT decreased at 3 weeks in 22 (55% of the eyes). An improvement of ≥2 lines was seen at 3 weeks in 52 (69.33%) eyes and in 49 (65.33%) eyes at 3 months. The mean CMT at 3 months was 445.51 ± 222.99 (n = 70) compared to the preoperative mean CMT of 470.72 ± 176.15 in the same set (P = 0.29). The mean CMT decreased at 3 months in 34 (48.5%) eyes. Phacoemulsification with IVTA injection improved the mean visual acuity at 3 weeks and 3 months in two-thirds of cases and decreased the mean CMT at 3 weeks in nearly half the numbers.

Clinical Profile of Cystoid Macular Edema Following Small Incision Cataract Surgery

BACKGROUND&#x0D; This study was conducted to determine the incidence of cystoid macular edema after small incision cataract surgery by means of OCT, study the clinical profile and compare the incidence in non-diabetic and diabetic patients with and without retinopathy.&#x0D; METHODS&#x0D; This was a hospital based prospective study, conducted among 325 patients in the age group of 40 to 85 years who underwent Small Incision Cataract Surgery [SICS] conducted in Sree Mookambika Institute of Medical Sciences, Kulasekharam, Kanyakumary District, Tamil Nadu, over a period of one year from January 2022 to December 2023, after obtaining clearance from the institutional ethics committee and written informed consent from the study participants.&#x0D; RESULTS&#x0D; The incidence of CME was higher among diabetic patients when compared with non-diabetic patients and was statistically significant. Patients with a history of uveitis had a statistically significant increase (p&lt;0.05) in the incidence of CME in the 6th postoperative week. Patients with complicated surgery with iris prolapse, vitreous prolapse, difficult nucleus delivery and posterior capsular rent had an increased incidence of CME. This was statistically significant (p&lt;0.05) during all three postoperative evaluations.&#x0D; CONCLUSIONS&#x0D; Following cataract surgery, 18.8% of patients developed cystoid macular edema six weeks after the procedure. Three months following surgery, 13.2% had CME, which further declined to 5.2% at six months after surgery. The incidence of clinically significant cystoid macular edema was 4% at six weeks after surgery. It further declined to 1.2% at 3 months after surgery and was present in only 0.6% at 6 months after surgery. The incidence of CME was higher among the diabetic patients throughout the study when compared with non-diabetic patients and was statistically significant (p&lt;0.01). The association between the severity of diabetic retinopathy and the incidence of cystoid macular edema was not statistically significant. Patients with a history of uveitis had a statistically significant increase (p&lt;0.05) in the incidence of CME in the 6th postoperative week. Patients with complicated surgery with iris prolapse, vitreous prolapse, difficult nucleus delivery and posterior capsular rent had an increased incidence of CME. Patients not using topical NSAIDS were found to have an increased incidence of CME.

Prevalence and associated factors of diabetic retinopathy among people with diabetes screened using fundus photography at a community diabetic retinopathy screening program in Nepal

BackgroundThis study aimed to assess the prevalence and associated factors of diabetic retinopathy (DR) and vision threatening DR (VTDR) among people with diabetes screened using fundus photography in Nepal.MethodsThis is a retrospective study among people with diabetes presented for DR screening using fundus photography from 2013 to 2019. Detailed demographics, duration of diabetes, medical history, visual acuity, and grading of DR on fundus photography were analyzed. Fundus camera used in the study were;Topcon digital fundus camera 900 CXR and digital portable fundus cameras (Nidek-10 portable non-mydriatric fundus camera; Versacam & Trade & Alpha, France), and a Zeiss portable fundus camera (Zeiss Visucout 100). Macula centred and disc centred 45 degree two images were taken from each eye. Pupil were dilated in cases where there was media haze in un-dilated cases. DR was graded using early treatment diabetic retinopathy study criteria. The images were graded by fellowship trained retina specialist. DR prevalence included any DR changes in one or both eyes.ResultsTotal of 25,196 patients with diabetes were enrolled. Mean age was 54.2 years with Standard Deviation (S.D):12.9 years, ranging from 6 years to 97 years. Type 1 and type 2 diabetes comprised of 451 people (1.79%) and 24,747 (98.21%) respectively. Overall, 1.8% of the images were un-gradable. DR prevalence was 19.3% (95% Confidence Interval (CI): 18.8 − 19.7%). DR prevalence in type 1 and type 2 diabetes was 15.5% (95% CI: 12.5 − 18.6%) and 19.3% (CI: 18.8 − 19.8%) respectively. Clinically significant macular edema (CSME) was found in 5.9% (95% CI: 5.6-6.2%) and VTDR in 7.9% (95% CI: 7.7-8.3%). In multivariate analysis, our study revealed strong evidence to suggest that there is meaningful association between DR and VTDR with duration of diabetes, diabetic foot, diabetic neuropathy, agriculture occupation, those under oral hypoglycaemic agents or insulin or both as compared to those under diet only, and presenting visual acuity > 0.3LogMAR.ConclusionPrevalence and associated factors for DR and VTDR were similar to other DR screening programs in the region. Emphasis on wider coverage of DR screening could help for timely detection and treatment of STDR to avoid irreversible blindness.

Proliferative diabetic retinopathy as the initial presenting feature of type 1 diabetes.

Type 1 diabetes mellitus (T1DM) is an autoimmune disorder caused by the destruction of the pancreatic beta cells, which produce insulin. Individuals with T1DM usually require at least 3-5 years to develop microvascular complications in comparison to people with type 2 diabetes (T2DM), who may develop complications even before the diagnosis of diabetes. We discuss a patient who presented with proliferative diabetic retinopathy subsequently diagnosed with T1DM and diabetic neuropathy following investigations. Diabetic retinopathy or other microvascular complications as the presenting feature of T1DM is rarely known or reported in the literature. A 33-year-old healthcare worker had been seen by the opticians due to 1-week history of blurred vision. The ophthalmology assessment had confirmed proliferative retinopathy in the right eye and severe non-proliferative retinopathy in the left eye with bilateral clinically significant macular oedema. His BMI was 24.9 kg/m2. The nervous system examination revealed bilateral stocking type peripheral neuropathy. The random venous glucose was 24.9 mmol/L. Plasma ketones were 0.7 mmol/L and HbA1c was 137 mmol/mol. On further evaluation, the anti-glutamic acid decarboxylase (GAD) antibody was positive, confirming the diagnosis of T1DM. He was started on aflibercept injections in both eyes, followed by panretinal photocoagulation. Subsequent nerve conduction studies confirmed the presence of symmetrical polyneuropathy. The pathogenesis of the development of microvascular complications in T1DM is multifactorial. Usually, the development of complications is seen at least a few years following the diagnosis. The occurrence of microvascular complications at presentation is rare. This makes the management challenging and extremely important in preventing the progression of the disease. The pathogenesis of the development of microvascular complications in type 1 diabetes mellitus is multifactorial. The development of complications is seen at least a few years following the diagnosis. Occurrence of microvascular complications at presentation is rare. This makes the management challenging and extremely important to prevent the progression of the disease.