Diabetic Eye Research Articles

Association of hypertension defined by the 2017 ACC/AHA guideline and choroidal thickness changes in type 2 diabetes: a 2-year longitudinal study.

This prospective cohort study investigated the longitudinal relationship between hypertension (HTN), defined by the 2017 ACC/AHA guidelines, and changes in choroidal thickness (CT) in patients with type 2 diabetes. Patients aged 30-80 years from the Guangzhou Diabetic Eye Study were categorized into non-HTN, stage 1-HTN, and stage 2-HTN groups based on BP criteria. Macular and parapapillary CT were measured using swept-source optical coherence tomography (SS-OCT). Mixed linear regression models analysed CT decline rates over a median 2.1-year follow-up, adjusting for confounders. 803 diabetes patients were included. Both stage 1-HTN and stage 2-HTN groups showed significantly thinner macular and parapapillary CT compared to non-HTN (all P < 0.05). Stage 2-HTN correlated with reduced macular CT thinning (coef = -11.29 μm/year; 95% CI, -22.36 to -0.22; P = 0.046) after adjustment, but not in the parapapillary area (coef = -4.07 μm/year; 95% CI, -12.89 to 4.74; P = 0.365). Subgroup analyses indicated faster macular CT decline in stage 2-HTN among those <65 years old (coef = -20.31 μm/year; 95% CI, -35.67 to -4.95; P = 0.10), males (coef = -14.1 μm/year; 95% CI, -32.54 to -4.33; P = 0.004), BMI ≥ 25 kg/m2 (coef = -10.24 μm/year; 95% CI, -26.86 to -6.38; P = 0.007), HbA1c > 6.5% (coef = -8.91 μm/year; 95% CI, -13.49 to -4.68; P = 0.001), and diabetes duration <10 years (coef = -12.78 μm/year; 95% CI, -27.48 to -1.91; P = 0.008). Stage 2-HTN is associated with accelerated macular CT loss in diabetic patients, suggesting macular CT measurements could potentially serve as early indicators of systemic hypertension. Further research is needed to establish precise CT cutoff values for clinical use in detecting and monitoring hypertension-related ocular changes.

Dry Eye in Diabetes: The Indian Diabetic and Endocrine Eye Diseases (INDEED) Review.

Dry eye disease (DED) is an inadequately addressed condition in the diabetes management process and can significantly impact the quality of life and self-care. Therefore, it was imperative to review DED in the diabetic population. The aim of this article was to obtain insights into the correlation between dry eye and diabetes, with a focus on data published in the Indian population. A comprehensive literature review was performed using MEDLINE and Google Scholar, along with an internet-based search of publicly available information and peer-reviewed publications that may not have been indexed in these databases. The recommendations from several important societies for patients with DED have also been reviewed. Major aspects commonly associated with DED and diabetes have been addressed, and specific suggestions for screening, diagnosis and treatment have been described. Therefore, this review could be an invaluable resource for doctors managing patients with both conditions.

Pregnancy as an important risk factor for the progression of diabetic retinopathy

Diabetic retinopathy, also defined as diabetic eye disease is one of the main causes of eye complications and blindless in the world therefore leads to irreversible vision disorder and vision loss. A pregnant women as a patient is always a real challenge for doctors of various specialties. During this period, numerous systemic changes occur, such as increased blood pressure in the third trimester, increased blood volume insulin resistance with worsening glycemic control and excessive coagulation. The above complication may be reflected in the image of the fundus of the eye. Pregnancy may induce retinal disease such as diabetic retinopathy. This review article presents the incidence, pathogenesis and risk factors associated with diabetic retinopathy during pregnancy. More over in the following paper discussed management of diabetic retinopathy in pregnancy and guidelines are recommended based on the achievable evidence.

Deep learning detection of subclinical cardiovascular dysfunction in type 2 diabetes through retinal photography

Abstract Background Type 2 diabetes (T2D) is associated with excess atherosclerotic coronary disease and heart failure risk, with several cardiac abnormalities described in asymptomatic patients. Routine digital retinal photography performed for screening of diabetic retinopathy (DR) has the potential to identify patients with underlying cardiovascular disease (CVD). We aimed to determine whether features extracted from digital retinal photographs could detect subclinical cardiovascular dysfunction in asymptomatic people with T2D. Methods We prospectively enrolled adults with T2D and no history or symptoms of CVD to undergo extensive phenotyping with multiparametric stress perfusion cardiac MRI and CT coronary artery calcium scoring. Digital retinal photographs acquired for routine diabetic eye screening and performed within one year of cardiac evaluation were interrogated for retinopathy grading and using four deep learning (DL) models (Xception, Inception, EfficientNet, and MobileNet) to capture complex patterns within the retinal vasculature. Each subject had four retinal photographs (two of each eye) for DL analysis. Cardiac image analysis was performed blinded to participant details and independent of retinal images. Subjects with and without DR were compared. Participants were divided into training (80%) and validation datasets (20%) prior to DL analysis. DL models employed to predict from retinal images: presence or absence of coronary artery calcium on non-contrast CT, myocardial perfusion reserve &amp;lt;2.5, left ventricular (LV) global longitudinal strain &amp;lt;16%, absolute stress and rest myocardial blood flood (mL/g/min) used as continuous variables. AUC was used to assess the ability of DL models to discriminate between those without and without subclinical CVD. Results An initial 254 subjects (comprising 1,016 retinal photographs) were included in the analysis: 212 (83%) with no DR, 42 (17%) with grade 1 (mild background) DR. Key cardiac imaging parameters in subjects with and without DR are displayed in Table 1. The groups were well matched for age, sex, body mass index and blood pressure. Overall, those with grade 1 DR had higher atheroma burden, evidence of increased LV filling pressures (E/e’) and poorer systolic function, but no differences in stress and rest myocardial blood flow or myocardial perfusion reserve. However, all four DL models failed to achieve sufficient discrimination of any of the evaluated cardiac imaging parameters, with the majority achieving AUC scores below 50% for all cardiac parameters. Conclusion Asymptomatic adults with grade 1 DR exhibit more subclinical atherosclerosis and cardiovascular dysfunction than those without DR. However, DL transfer models could not discriminate between subjects with and without cardiovascular disease. Further work is needed to better define whether retinal screening may be used to identify those people with T2D most at risk of underlying cardiovascular disease.Subjects demographics

PM2.5 Exposure as a Risk Factor for Optic Nerve Health in Type 2 Diabetes Mellitus

(1) Objective: This study investigated the relationship between long-term particulate matter (PM2.5) exposure and optic disc parameters—vertical cup-to-disc ratio (vCDR), vertical optic disc diameter (vDD), and vertical optic cup diameter (vCD)—in patients with type 2 diabetes mellitus (T2DM). (2) Methods: A cross-sectional analysis was conducted using data from 65,750 T2DM patients in the 2017–2018 Shanghai Cohort Study of Diabetic Eye Disease (SCODE). Optic disc parameters were extracted from fundus images, and PM2.5 exposure was estimated using a random forest model incorporating satellite and meteorological data. Multivariate linear regression models were applied, adjusting for confounders including age, gender, body mass index, blood pressure, glucose, time of T2DM duration, smoking, drinking, and physical exercise. (3) Results: A 10 μg/m3 increase in PM2.5 exposure was associated with significant reductions in vCDR (−0.008), vDD (−42.547 μm), and vCD (−30.517 μm) (all p-values &lt; 0.001). These associations persisted after sensitivity analyses and adjustments for other pollutants like O3 and NO2. (4) Conclusions: Long-term PM2.5 exposure is associated with detrimental changes in optic disc parameters in patients with T2DM, suggesting possible optic nerve atrophy. Considering the close relationship between the optic nerve and the central nervous system, these findings may also reflect broader neurodegenerative processes.

The Role of Immune Cells and Signaling Pathways in Diabetic Eye Disease: A Comprehensive Review.

Diabetic eye disease (DED) encompasses a range of ocular complications arising from diabetes mellitus, including diabetic retinopathy, diabetic macular edema, diabetic keratopathy, diabetic cataract, and glaucoma. These conditions are leading causes of visual impairments and blindness, especially among working-age adults. Despite advancements in our understanding of DED, its underlying pathophysiological mechanisms remain incompletely understood. Chronic hyperglycemia, oxidative stress, inflammation, and neurodegeneration play central roles in the development and progression of DED, with immune-mediated processes increasingly recognized as key contributors. This review provides a comprehensive examination of the complex interactions between immune cells, inflammatory mediators, and signaling pathways implicated in the pathogenesis of DED. By delving in current research, this review aims to identify potential therapeutic targets, suggesting directions of research for future studies to address the immunopathological aspects of DED.

The scanning CONfoCal Ophthalmoscopy foR DIAbetic eye screening (CONCORDIA) study paper 2.

To determine if the Eidon white light 60-degree field Scanning Confocal Ophthalmoscope (SCO) camera was safe to use with staged mydriasis in a Diabetic Eye Screening Programme (DESP). The trial participants were recruited from people with diabetes attending appointments in DESP or Virtual Eye clinics for post-Covid delayed hospital appointments. Using staged mydriasis, the SCO images were taken before the pupils were dilated and compared to two-field 45 degrees mydriatic digital photography (the reference standard). Mydriatic SCO images were only compared to the reference standard if the non-mydriatic SCO images were unassessable. 1050 patients were recruited, 35 individuals were withdrawn, the majority (18) due to an imaging protocol deviation leaving 1015 individuals (2029 eyes). Using staged mydriasis, the sensitivity and specificity for any retinopathy was 97.5% (95% CI: 96.4-98.4%) and 82.3% (95% CI: 79.6-84.7%) respectively. The sensitivity and specificity for referable retinopathy was 92.7% (95% CI: 89.9-94.9%) and 85.4% (95% CI: 83.6-87.2%) respectively. The total number of eyes that were unassessable with the Eidon without mydriasis was 85/2029 (4.2%), and after mydriasis was 34/2029 (1.7%) and, with the reference standard, 34/2029 (1.7% - not always the same images) were unassessable. This study provides promising early results of the performance of the Eidon camera using staged mydriasis in a DESP which needs further evidence from a non-Caucasian population and from cost-effectiveness analyses.

Telemedicine in Diabetic Retinal Screening: Pre- and Post-COVID-19 Challenges a New Perspective

Abstract Telemedicine in ophthalmology has been around for decades and has been successful with its use in diabetic retinal screening in countries like the UK (with the introduction of the UK National Diabetic Eye Screening Programme in 2003). However, most telemedicine, in the field of diabetic retinopathy, has largely been reliant on human graders for triage purposes. With the advent of COVID-19, patients with chronic conditions, such as diabetes, were disproportionately affected. The pandemic also caused significant rise in patients on waiting lists. Before the pandemic, there have been studies illustrating the use of artificial intelligence (AI) to analyse images obtained from patients screened for monitoring of their diabetic retinopathy. The image analysis by AI and deep-learning algorithms offers insight into the future of screening in diabetes. The transition, from the use of human graders in teleophthalmology to the use of AI-based image analysis has the potential to screen a wider cohort of patients, thereby tackling waiting lists awaiting screening which has lengthened since after COVID-19. It is therefore vital to understand the role of AI in screening diabetic retinopathy patients, from a patient-acceptability, cost-effectiveness and reliability perspective as, this offers potential answers to streamline the screening process further.

The Scanning CONfoCal Ophthalmoscopy foR DIAbetic eye screening (CONCORDIA) study paper 1.

This project was to determine the performance of the Zeiss Clarus 700 (Clarus) and the Optos California (Optos) with staged mydriasis in a Diabetic Eye Screening Programme (DESP). Trial participants were recruited from people attending appointments in DESP or Virtual Eye clinics for delayed hospital appointments. Non-mydriatic photographs from the Clarus and Optos cameras were compared to 2-field 45 degrees mydriatic digital photography (the reference standard) and mydriatic photographs compared if the non-mydriatic photos were unassessable (staged mydriasis). 1573 patients were recruited. 76 individuals were withdrawn, leaving 1497 individuals (2993 eyes). For the Clarus and the Optos, the sensitivity for any retinopathy were 94.2% (95% CI: 92.9-95.3%) and 91.9% (95% CI: 90.5-93.2%) with specificities of 87.3% (95% CI: 85.4-89.0%) and 78.1% (95% CI: 75.7-80.3%) respectively. For referable DR the sensitivities for the Clarus and Optos were 86.0% (95% CI: 82.9-88.8%) and 77.6% (95% CI: 73.9-80.9%) with specificities of 92.8% (95% CI: 91.7-93.8%) and 95.4% (95% CI: 94.5-96.2%) respectively. The Clarus and Optos without mydriasis produced 100 (3.3%) and 152 (5.1%) unassessable eyes respectively, and after staged mydriasis 51 (1.7%) and 102 (3.4%) respectively with 52 (1.7%) reference standard images unassessable. This study reports the performance of the Clarus and the Optos using staged mydriasis in DR screening with wider fields detecting more referable retinopathy peripherally with some reduction in sensitivity centrally for macular lesions.

6635 A Call for High-Value Diabetic Retinopathy Screening and the Introduction of a Novel Predictive Model

Abstract Disclosure: P.J. Williams: None. C. Kim: None. K. Ziadeh: None. E. White: None. C.S. Chen-Milhone: None. L.D. Lugo: None. K.B. Ellis: None. M.S. Juzych: None. Introduction: Diabetic retinopathy (DR) remains one of the leading causes of preventable blindness in middle-aged and older populations. Late-stage DR is often visually symptomatic; however, early DR is generally asymptomatic and requires screening. For type 2 diabetes mellitus (T2DM), the American Diabetes Association and the National Institute of Diabetes and Digestive and Kidney Diseases recommend an initial dilated eye exam with follow-up every 1-3 years, or annually if diabetic retinopathy is detected. Despite these guidelines, providers and insurers in the United States routinely recommend annual screening regardless of other factors. Methods: A cross-sectional analysis with prospective data verification was done for new diabetic eye exam referrals from August 2021 through July 2022 to address screening discrepancies. Established patients and referrals unrelated to hyperglycemia were excluded. Data collection included duration of diabetes, last hemoglobin A1c (HbA1c), maximum HbA1c, age, race, gender, BMI, relevant medication use, and imaging, as well as the presence of hypertension, hypercholesterolemia, diabetic peripheral neuropathy (DPN), diabetic nephropathy, diabetic amputation, and DR and data was verified against objective records up to 2 years later. Logistical multivariate analysis was conducted by a trained statistician. Results: 474 consecutive patients were referred over 1 year. Among all referrals, 2.11% (10/474) of patients were prediabetic. Among the patients with diabetes, 5.39% (25/464) were type 1 and 94.6% (439/464) were type 2. Among patients with T2DM, the average age was 57.64±11.52 (range = 25-98) and females made up 52.16% (229/439). The average diabetes duration among T2DM patients with DR was 19.39±8.45 years (range = 11-51) compared to 6.12±5.77 years (range = 0-31 years) without DR. Maximum lifetime HbA1c (p=0.0016), duration of diabetes (p&amp;lt;0.0001), and presence of DPN (p = 0.0047) were the strongest predictors of DR in patients with T2DM. A predictive model for DR was created utilizing these variables and hypercholesterolemia (p=0.048) with a predictive accuracy of 89.5% (chi-squared value (4)=121.451, p&amp;lt;0.001, Nagelkerke R2=57%). Sensitivity and specificity measured 92.31% and 87.99% respectively. The area under the ROC curve measured 0.952 (CI 0.925 to 0.972, p&amp;lt;0.0001). Conclusion: Duration of diabetes, maximum HbA1c, and DPN are strongly associated with DR among patients with T2DM and should be tracked to guide screening. Among T2DM patients with a well-documented recent onset of diabetes, maximum HbA1c less than 8, and benign initial eye exam, annual diabetic eye exams are unlikely to reveal DR in the first 10 years after onset. Based on our data, annual diabetic screening exams are unnecessary for many patients, and upper limits of screening intervals should be considered in low-risk patients to increase high-value care. Presentation: 6/2/2024

5099 Capturing the Patient Voice for Diabetes Eye Exams

Abstract Disclosure: S. Du: None. S. Lambrechts: None. M. Freeby: None. M. Han: None. Background: Diabetic retinopathy (DR) is a leading cause of blindness among adults 20-74 years old. Ophthalmic exams are recommended every 1-2 years for type 2 diabetes patients with minimal to no DR. The 50th percentile Integrated Healthcare Association benchmark for DR screening is 49%, but at our academic medical center, the completion rate is 30%. Potential barriers to screening noted in the literature include lower levels of education, lack of knowledge about DR, and financial barriers. Objective: To understand motivating factors and barriers to DR screening among patients in our health system. Methods: We utilized the Patient Voice qualitative research method to uncover themes and identify interventions to improve care delivery. The literature was synthesized to develop a structured interview guide. From our urban academic health system, 15 patients were randomly selected for interview, six of whom had completed the “Diabetes Eye Exam” care gap and nine that had not. Interviews were transcribed and coded for thematic analysis. Results: Six opportunity areas were identified. 1) There are currently only six retinal cameras located across primary and specialty care clinics serving more than 38,000 diabetes patients. 67% of patients felt the current clinic locations were inconvenient, with distant locations and long travel times. 2) 20% of patients expressed that they would like increased flexibility of appointments offered, such as evening, weekend, and same day appointments. 3) Patients were motivated by automated diabetes eye exam specific reminder messages and appreciated the ability to self-schedule within the patient portal. 47% of patients wanted yearly reminder messages, while 40% had no preference. 4) 53% of patients expressed that they did not fully understand DR or were confused about the difference between an optometrist exam and diabetes eye exam. 5) 40% of patients completed their eye exam with their local optometrist and found this to be a more convenient option. One patient expressed that she wished her doctor had informed her that she could complete her diabetes eye exam at a local optometry clinic. 6) If patients do choose to complete their exam with their local optometrist, they would like reminders to send their records to their primary care physician or endocrinologist. A more streamlined processes to upload outside records through the patient portal would decrease this barrier. Conclusion: It is important to engage patient stakeholders and understand their needs to improve overall experience and close care gaps. Through the Patient Voice, we learned that factors such as driving distance, traffic, scheduling, and issues with uploading records are major barriers to care gap completion. Convenient clinic locations, education, and reminder messages are motivating factors. Future work will focus on developing and implementing solutions in each opportunity area. Presentation: 6/1/2024

'Whatever the GP says, is what I'll do'-A qualitative study of patient perspectives in accessing primary eye care for type 2 diabetes.

To investigate the perspectives of people accessing a general medical practitioner (GP)-optometry model of collaborative care that was established to increase access to diabetes eye care. Qualitative study of patient barriers and facilitators to accessing primary diabetes eye care located in a metropolitan area in Australia. One-on-one interviews were recorded, transcribed and thematically analysed using a determinant framework on patient-centred access to health care. Twenty-four people with type 2 diabetes, including 15 males and 9 females, who accessed the service between September 2021 and June 2022 agreed to participate. Mean (SD) age of the participants was 52 (12) years and 50% had been diagnosed with diabetes for <2 years. Facilitators to accessing diabetes eye care included a referral from a GP or GP nurse, fee-free consultations, availability of after-hours appointments and short waiting times. Barriers to access included perceived out-of-pocket costs, competing responsibilities and lack of awareness of diabetic retinopathy screening recommendations. Considering diabetic retinopathy may present asymptomatically, primary health practitioners (optometrists and GPs) are well positioned to raise patient awareness of the importance of routine eye examinations. In Australia, access to routine screening could be facilitated by fee-free eye checks and personalised text message reminders implemented at a health system level.

Access to a Patient Portal is Associated with a Higher Rate of Diabetic Eye Examination Completion

ABSTRACT Purpose To evaluate factors associated with a higher completion rate of annual diabetic eye examinations. Methods This retrospective, cross-sectional study included patients diagnosed with diabetes mellitus (DM) who were aged 18–75 years and receiving primary care in a suburban integrated delivery network (IDN). Patient demographic, sociomedical, biometric characteristics, and Healthcare Effectiveness Data and Information Set (HEDIS) measures within the Comprehensive Diabetes Care bundle were extracted from the electronic health record (EHR) and analyzed by using multivariate logistic regression to assess factors associated with completion of an eye exam (retinal) performed during the study year. Results Among 19,901 primary care patients with DM, 35.15% completed an eye examination in 2021. After adjusting for demographic and biometric characteristics, the two factors most closely associated with completing a diabetic eye examination were having had a primary care office visit (adjusted odds ratio [aOR], 3.525; 95% confidence interval [CI], 3.210–3.871, p < 0.001) or an eye examination in the prior year (aOR, 2.948; 95% CI, 2.752–3.158, p < 0.001). The next most important factor to emerge was having an activated, online patient portal (PP; aOR, 1.737; 95% CI, 1.592–1.896; p < 0.001) or PP recently activated within the prior year (aOR, 1.387; 95% CI, 1.220–1.576, p < 0.001). Conclusions Surveillance for diabetic retinopathy relies on annual diabetic eye examinations yet adherence to that standard remains unacceptably low. Our study suggests that engagement of patients through an online PP could help increase this rate.

Effect of Ocular Perfusion Pressure on Incidence of Diabetic Retinopathy in Type 2 Diabetes: A Two-Year Prospective Study.

To investigate the association between mean ocular perfusion pressure (MOPP), estimated cerebrospinal fluid pressure (CSFP), and changes in diabetic retinopathy (DR) in a Southern Chinese population with type 2 diabetes (T2DM). A total of 1224 subjects from the Guangzhou Diabetic Eye Study were enrolled. Systolic blood pressure (SBP), diastolic blood pressure (DBP), and intraocular pressure (IOP) were measured. MOPP was calculated with the formula: MOPP = 2/3 [DBP + 1/3 (SBP - DBP)] - IOP. CSFP was calculated using the formula: CSFP = 0.44 × body mass index (kg/m2) + 0.16 × DBP - 0.18 × age (years) - 1.91. Incidence, progression, and regression of DR were graded based on seven-field 45° conventional fundus photographs at baseline and during two-year follow-up examinations according to the United Kingdom National Diabetic Eye Screening Program guidelines. Higher MOPP was associated with DR incidence in the multivariate model (per 1 mm Hg increase: relative risk, 1.05; 95% confidence interval, 1.01-1.09; P = 0.02) and was not associated with DR development and DR regression in two-year follow-up of T2DM patients. However, CSFP was not associated with DR changes (incidence, progression, or regression). The higher MOPP is an independent risk factor for DR incidence among T2DM patients in a Southern Chinese cohort. Monitoring MOPP and managing blood pressure can be part of a comprehensive approach to prevent or delay the onset of DR in T2DM patients. MOPP might be an indicator for the detection of DR incidence.

Comparison of Retinal Thickness betweenDiabetic Patients without Diabetic Retinopathy and Non-Diabetic Controls Using SD-OCT

Purpose: To determine retinal thickness in diabetic patients without diabetic retinopathy and non-diabetic controls using Spectral Domain Optical Coherence Tomography (SD-OCT). Study Design: Cross-sectional observational study. Place and Duration of Study: Diabetic Eye Clinic and General Eye OPD of Al-Ibrahim Eye Hospital, Karachi from July 2018 to August 2018. Methods: Patients with type 2 diabetes and non-diabetic healthy control eyes of either genderand age between 20 and 60 years were recruited. Patients with any other systemic and ocular disease affecting retinal thickness were excluded. After initial examination and informed written consent, patients were referred to ocular investigation department for detailed retinal examination and SD-OCT for measuring central retinal thickness. Data were analyzed for continuous and categorical variable using SPSS. Results: Average Central Retinal thickness was 297±21 and 315±13µmand Central Foveal Thickness was 246±16 and 249±19µmin diabetic and non-Diabetic patients respectively. Quadrant-wise evaluation revealed retinal thickness as follows; nasal 310 and 324µm), temporal (291and 304µm), superior (297and 316µm) and inferior (292and 314µm) in diabetics and non-diabetics respectively. Retinal thickness was greater at nasal and lesser at temporal regions. Conclusion: Diabetic patients without DR had thinner central retinal thickness compared to non-diabetic controls, as measured by Spectral Domain Optical Coherence Tomography (SD-OCT). Specifically, the average central retinal thickness and central foveal thickness were slightly reduced in diabetic patients. Quadrant-wise analysis revealed that the retinal thickness was consistently greater in the nasal region and lesser in the temporal region in both diabetic and non-diabetic patients.

Initial Retinal Nerve Fiber Layer Loss and Risk of Diabetic Retinopathy Over a Four-Year Period.

The purpose of this study was to investigate whether the rapid rate of peripapillary retinal nerve fiber layer (pRNFL) thinning in short-term is associated with the future risk of developing diabetic retinopathy (DR). This prospective cohort study utilized 4-year follow-up data from the Guangzhou Diabetic Eye Study. The pRNFL thickness was measured by optical coherence tomography (OCT). DR was graded by seven-field fundus photography after dilation of the pupil. Correlations between pRNFL thinning rate and DR were analyzed using logistic regression. The additive predictive value of the prediction model was assessed using the C-index, net reclassification index (NRI), and integrated discriminant improvement index (IDI). A total of 1012 patients with diabetes (1012 eyes) without DR at both baseline and 1-year follow-up were included in this study. Over the 4-year follow-up, 132 eyes (13%) developed DR. After adjusting for confounding factors, a faster rate of initial pRNFL thinning was significantly associated with the risk of DR (odds ratio per standard deviation [SD] decrease = 1.15, 95% confidence interval [CI] = 1.08 to 1.23, P < 0.001). Incorporating either the baseline pRNFL thickness or its thinning rate into conventional prediction models significantly improved the discriminatory power. Adding the rate of pRNFL thinning further enhanced the discriminative power compared with models with only baseline pRNFL thickness (C-index increased from 0.685 to 0.731, P = 0.040). The IDI and NRI were 0.114 and 0.463, respectively (P < 0.001). The rate of initial pRNFL thinning was associated with DR occurrence and improved discriminatory power of traditional predictive models. This provides new insights into the management and screening of DR.

The effectiveness of edible bird's nest in lowering VEGF, CD31, and PDGFR-β levels in diabetic retinopathy in rats with type 1 diabetes.

Diabetic eye disease, known as diabetic retinopathy (DR), is one of the problems that can arise from having high blood sugar for an extended period. This study aimed to investigate the effect of the edible bird's nest (EBN) on retinal angiogenesis in diabetic rats. The 50 rats were separated into five different groups, each containing 10 rats: control, diabetes (DM), bird's nest-fed diabetes (75 mg/kg Body weight; BW), (EBN 75), (150 mg/kg BW) (EBN 150), and glyburide (GR) for an eight-week study. H&E and Masson's trichrome staining were utilized to investigate the retinal tissue and vascular changes. The immunofluorescence study was used to detect angiogenic protein expression. The vascular corrosion cast/SEM method was also used to evaluate capillary plexus formation within the retinal layer. From histological studies, DM rats have thinning of the retinal layer. Remarkably, the retinal vessels displayed dilations resembling ruptured blood vessels. The expression of vascular endothelial growth factor (VEGF) (30.51±2.62), cluster of differentiation 31 (CD31) (28.18±0.22), and platelet-derived growth factor receptor beta (PDGFR-β) (141.67±0.97) were increased. EBN 75 exhibited some small improvements in their blood vessels and eye tissue. At a dose of 150 mg/kg BW, EBN proved to be more effective. There was a significant decrease in VEGF and CD31 expression compared with the diabetic group (p<0.001 and p<0.01, respectively). These studies have demonstrated that EBN can lower the growth levels of VEGF, CD31, and PDGFR-β, which results in a decrease in angiogenesis and a recovery from a variety of diabetic retinopathy-related diseases.

A COMPARATIVE STUDY OF PRE-CORNEAL TEAR FILM BETWEEN DIABETICS AND NON-DIABETICSUSING OCULAR SURFACE DISEASE INDEX

Purpose: To determine distinctive characteristics of pre-corneal tear film in eyes of diabetics and compare them with non-diabetics. Design: Hospitalbasedobservationalcross-sectional study. Methods: The study was done in thedepartmentofophthalmology from July2022-December2023. Patients presenting to outpatient department of ophthalmology who were of age&gt;45 years, have a history of diabetes for more than three years and those without diabetes as control groups were chosen.300patients weretaken forthestudyand dividedinto two groups(150 diabetics and 150 non-diabetics). Sample size was decided based on a convenient sampling method.Ocular surface disease index(OSDI) questionnaire was used to assess symptoms and signs.Corneal sensitivity test, Tear film breakup time(TBUT) and Schirmer tests were done. The corneal and conjunctival stains were used. Chi-square test was used to examine outcomes. Other tests were applied accordingly. Results: Diabetic patients had poorer OSDI scores compared to Non-diabetic patients(p 0.001*). Patients with diabetes had reduced corneal sensitivity(p&lt;0.05*). Schirmer II and TBUT values were significantly prolonged in Diabetics compared to Non-diabetcs(p&lt;0.05*). Duration of diabetes significantly increased the severity of dry eye. Dry eye was more prevalent in diabetic retinopathy patients(p=0.02*). Strong association was found between HbA1C and severity of diabetic retinopathy with P&lt;0.05*. Conclusion:The duration of diabetes and stage of retinopathy are closely linked to the occurrence and severity of tear film dysfunction. Early detection and treatment are vital for preventing dry eye syndrome and its potential progression to vision-threatening complications, through simple non-invasive methods.

The Impact of Hba1c Levels on Diabetic Patients' Sugar Control and Its Influence on Eye Health: Clinical Study

This study utilized a cross-sectional design to examine the effect of HbA1c levels on the regulation of blood sugar and its effects on eye health in a group of diabetic adults in Iraq. One hundred and fifty participants in all filled out a structured questionnaire that evaluated their comprehension of diabetes, methods for managing it, and knowledge of diabetic eye problems. The findings indicated that although most participants possessed a satisfactory overall comprehension of diabetes, a considerable number exhibited a deficiency in their grasp of the importance of HbA1c values and its connection to the regulation of blood sugar over an extended period. Participants utilized many ways to regulate their diabetes; however, their adherence to these methods was inconsistent. In addition, a significant number of participants were not regularly undergoing eye examinations to detect indicators of diabetic retinopathy, despite being aware of the possibility of eye-related issues. These findings indicate that there is a need for enhanced patient education, increased adherence to diabetes management regimens, and improved integration of eye care services within the overall diabetes care system to address the difficulties faced by this group. Enhancing these components has the potential to result in improved long-term results for patients with diabetes in Iraq. The study emphasizes the significance of comprehensive strategies for managing diabetes that give priority to both controlling blood sugar levels and preventing microvascular problems, such as diabetic retinopathy which can lead to visual loss.

Photoreceptor Characteristics in Diabetic Retinopathy vs Controls Using Adaptive Optics Imaging: Systematic Review.

Purpose: To assess the differences in morphological photoreceptor outcomes measured using adaptive optics (AO)-assisted imaging between individuals with diabetes or prediabetes and healthy controls. Methods: A systematic search was conducted across MEDLINE, Embase, and Cochrane databases from January 2000 to June 2023. Studies that used AO-assisted imaging modalities to quantitatively compare photoreceptor outcomes in patients with diabetes or prediabetes with healthy controls were included. Results: Eleven studies consisting of 551 eyes were included. Most studies reported significant differences in photoreceptor outcomes between diabetic and healthy populations, particularly as diabetic retinopathy (DR) severity increased. Cone regularity was the most sensitive parameter for detecting significant differences between groups. AO imaging was less reliable in distinguishing individuals with diabetes without DR or with mild DR severity from controls. Conclusions: AO imaging showed promise in detecting significant differences associated with diabetes and DR, in particular with increasing disease severity. Further research is warranted to assess AO's utility as a diabetes and DR screening tool. Standardizing imaging protocols in future studies is recommended to allow for more direct quantitative comparisons. These findings highlight the current evidence on photoreceptor changes in patients with diabetes and the potential of AO in advancing diabetic eye care.