Prevalence Of Diabetic Retinopathy Research Articles

Associated factors of diabetic retinopathy in type 1 and 2 diabetes in Limpopo province in South Africa

BackgroundDiabetic retinopathy (DR) is the major cause of vision impairment or blindness in individuals who have diabetes. It has accounted for 2.6% of all cases of blindness, and 1.9% of all cases of vision impairments globally. There is a lack of data on the prevalence of diabetic retinopathy and its associated factors amongst diabetic rural populations. Hence, the current study aimed to determine factors associated with diabetic retinopathy (DR) among diabetes mellitus (DM) patients undergoing diabetic therapy.MethodsThe study was cross-sectional in design and the participants were selected using convenient sampling. STATA version 15 software was used for data analysis. Chi-square was used to compare proportions. Logistic regression was used to determine the relationship between DR and associated risk factors.ResultsThe prevalence of DR was 35.3%, of which 32% were mild and 3.4% were moderate non-proliferative DR (NPDR). Females were more unemployed than males (32.1% versus 16.8%, p=0.0058). Males were found to drink alcohol (21.8% versus 1.9%, p<0.001) and smoke cigarettes (4% versus 0.3%, p=0.0034) more than females. Being aged ≥ 55 years (OR: 2.7, 95% CI: 1.6-4.4), with matric qualification (OR: 0.6; 95% CI: 0.4-1.0); employed (OR: 1.4, 95% CI: 1.2-1.6); having high systolic blood pressure (OR=1.4, 95%CI=1.1-1.7) were the independent determinants of DR.ConclusionsThe prevalence of diabetic retinopathy was 34%. DR was determined by high systolic blood pressure, old age, and employment. Although not statistically significant, gender, hyperglycemic state, poor glycemic control, smoking, and increased body mass index (BMI) were associated with increased risk of developing DR.

Patients with Type 2 Diabetes, Higher Blood Pressure, and Infrequent Fundus Examinations Have a Higher Risk of Sight-Threatening Retinopathy

Background: Diabetic retinopathy (DR) is the most common cause of preventable blindness among working-age adults. This study aimed to evaluate the impact of the regularity of fundus examinations and risk factor control in patients with type 2 diabetes (T2DM) on the prevalence and severity of DR. Methods: One hundred and fifty-six T2DM patients were included in this cross-sectional study. Results: In this sample, the prevalence of DR was 46.2%. Patients with no DR mainly did not examine the fundus regularly, while most patients with mild/moderate nonproliferative DR (NPDR) underwent a fundus examination regularly. In 39.7% of patients, this was the first fundus examination due to diabetes, and 67% of them had sight-threatening DR (STDR). Diabetes duration (p = 0.007), poor glycemic control (HbA1c) (p = 0.006), higher systolic blood pressure (SBP) (p < 0.001), and diastolic blood pressure (DBP) (p = 0.002) were the main predictors of DR. However, the impact of SBP (AOR 1.07, p = 0.003) and DBP (AOR 1.13, p = 0.005) on DR development remained significant even after adjustment for diabetes duration and HbA1c. The DR prevalence was higher in patients with higher blood pressure (≥130/80 mmHg) than in those with target blood pressure (<130/80 mmHg) (p = 0.043). None of the patients with target blood pressure had STDR. The peaks in SBP and DBP were observed in T2DM with DR and the first fundus examination due to diabetes. Conclusions: In this T2DM sample, DR prevalence was very high and strongly related to blood pressure and a lack of regular fundus examinations. These results indicate the necessity of establishing systematic DR screening in routine diabetes care and targeting blood pressure levels according to T2DM guidelines.

Trends in the Prevalence of Common Retinal and Optic Nerve Diseases in China: An Artificial Intelligence Based National Screening.

Retinal and optic nerve diseases have become the primary cause of irreversible vision loss and blindness. However, there is still a lack of thorough evaluation regarding their prevalence in China. This artificial intelligence-based national screening study applied a previously developed deep learning algorithm, named the Retinal Artificial Intelligence Diagnosis System (RAIDS). De-identified personal medical records from January 2019 to December 2021 were extracted from 65 examination centers in 19 provinces of China. Crude prevalence and age-sex-adjusted prevalence were calculated by mapping to the standard population in the seventh national census. In 2021, adjusted referral possible glaucoma (63.29, 95% confidence interval [CI] = 57.12-68.90 cases per 1000), epiretinal macular membrane (21.84, 95% CI = 15.64-29.22), age-related macular degeneration (13.93, 95% CI = 11.09-17.17), and diabetic retinopathy (11.33, 95% CI = 8.89-13.77) ranked the highest among 10 diseases. Female participants had significantly higher adjusted prevalence of pathologic myopia, yet a lower adjusted prevalence of diabetic retinopathy, referral possible glaucoma, and hypertensive retinopathy than male participants. From 2019 to 2021, the adjusted prevalence of retinal vein occlusion (0.99, 95% CI = 0.73-1.26 to 1.88, 95% CI = 1.42-2.44), macular hole (0.59, 95% CI = 0.41-0.82 to 1.12, 95% CI = 0.76-1.51), and hypertensive retinopathy (0.53, 95% CI = 0.40-0.67 to 0.77, 95% CI = 0.60-0.95) significantly increased. The prevalence of diabetic retinopathy in participants under 50 years old significant increased. Retinal and optic nerve diseases are an important public health concern in China. Further well-conceived epidemiological studies are required to validate the observed increased prevalence of diabetic retinopathy, hypertensive retinopathy, retinal vein occlusion, and macular hole nationwide. This artificial intelligence system can be a potential tool to monitor the prevalence of major retinal and optic nerve diseases over a wide geographic area.

Factors associated with development of retinopathy in patients with type 2 diabetes mellitus at onset and within three years after diagnosis

Objective To investigate the prevalence of diabetes retinopathy and evaluate the factors influencing its occurrence both at the onset of type 2 diabetes (T2D) and three years into its duration. Design Retrospective population-based study. Setting Data was retrieved from Regional Healthcare Information Platform in Region Halland 2016–2020. Subjects Patients 35-75 years old in Region Halland receiving first-time diabetes diagnosis according to ICD-code E11-14 in 2016–17. The total cohort consisted of 1659 patients. Main outcome measures The main outcome measure of the study was the occurrence of diabetes retinopathy at onset and within three years from the diabetes diagnosis. Multivariate logistic regression analysis was conducted for diabetes retinopathy at onset and within three years, adjusted for age, gender, comorbidities, levels of HbA1c, cholesterol, kidney functional and blood pressure. Results At onset, there were 12% with diabetes retinopathy and after three years, 32% of the patients had developed diabetes retinopathy. In the study cohort, 71 of patients who were examined with fundus photography within three years after onset, and 8% had had dietary recommendation without pharmacotherapy. High HbA1c levels, blood pressure values and impaired renal function already at onset were associated with development of diabetes retinopathy at onset and this association persisted after three years. The odds ratio for diabetes retinopathy was increased adjusted for HbA1c elevations, renal impairment, and increased blood pressure at index and when adjusted for these variables three years from index. Conclusion These findings indicate that the risk of developing diabetes retinopathy is present early on at onset and within the first three years of diabetes diagnosis. This highlights the importance of promptly regulating glucose- and blood-pressure levels and follow up kidney dysfunction to mitigate the risk of diabetes retinopathy.

Assessment of prevalence and need for screening of diabetic retinopathy using non-mydriatic fundus camera in rural and tribal diabetic populations in Maharashtra.

To assess the prevalence of DR and the need for screening and management of DR with medical management of diabetes in rural and tribal population in Maharashtra. The known diabetics of rural area and tribal area were screened at corresponding primary health centers, subcenters, and village level with the help of local healthcare workers using a portable non-mydriatic fundus camera. The prevalence of blindness among known diabetics in rural area was 1.29%, and 0.84% in tribal area. In the rural area, the prevalence of diabetic retinopathy (DR) was 5.67% (n = 776), out of those 18.18% had sight threatening diabetic retinopathy (STDR). The prevalence of DR was 7.73% (n = 711) in tribal areas, out of those, 30.90% had STDR. The significant risk factors were identified to be the duration of diabetes and poor glycemic control. Implementation of targeted interventions for screening and management are required to reduce the risk of blindness among known diabetics in rural and tribal areas.

Correlation between omega-3 intake and the incidence of diabetic retinopathy based on NHANES from 2005 to 2008.

To identify correlations between omega-3 intake and incidence of diabetic retinopathy (DR). This was a cross-sectional study using data from participants over age 40 in the National Health and Nutrition Examination Survey (NHANES) 2005-2008. Metrics included participants' intake of omega-3 fatty acids, specifically three types of representative polyunsaturated fatty acids, DR prevalence, and demographic characteristics. Multiple logistic regression models were used to assess the relationship between omega-3 intake and DR. Of the 1243 participants included in this study, omega-3 intake was lower in patients with DR relative to those without DR. Of the three polyunsaturated fatty acids within the omega-3 fatty acid family that we focused on, participants without DR consumed more docosapentaenoic acid (DPA) and docosahexaenoic acid (DHA) than those with DR. In contrast, there was no significant difference in the intake of eicosapentaenoic acid (EPA). Higher omega-3 intake was associated with a decreased risk of DR. In a crude model, the odds ratio (OR) was 0.548 (95% CI 0.315, 0.951; p = 0.033). In the fully adjusted model of omega-3 (model II), the adjusted OR was 0.525 (95% CI 0.306, 0.901; p = 0.021). DPA and DHA were also associated with a decreased risk of DR. In the full adjustment model (model II) of DPA and DHA, the adjusted ORs were 0.0002 (95% CI 0.000, 0.166; p = 0.014) and 0.293 (95% CI 0.105, 0.819; p = 0.020). Subgroup analysis showed that the protective effect of omega-3 against DR was more significant in younger patients (p value = 0.015). In this cross-sectional study of the U.S. general population, we found that increased intake of omega-3 and its components, specifically DPA and DHA were negatively associated with DR incidence. This suggests that omega-3 may be a potential protective factor for DR and may help to prevent or delay the onset and progression of DR.

Association between AST/ALT ratio and diabetic retinopathy risk in type 2 diabetes: a cross-sectional investigation.

This study aimed to explore the association between the aspartate aminotransferase to alanine aminotransferase ratio (AST/ALT ratio) and diabetic retinopathy (DR) in patients with type 2 diabetes. In this cross-sectional study, clinical data from 3002 patients with type 2 diabetes admitted to the Department of Endocrinology of our hospital between January 1, 2021, and December 1, 2022, were retrospectively collected. Measurements of AST and ALT were conducted and diabetes-related complications were screened. The association between AST/ALT ratio and diabetic retinopathy was assessed using multivariate logistic regression, and a generalized additive model (GAM) was used to investigate nonlinear relationships. Subgroup analyses and interaction tests were also conducted. Among the 3002 patients, 1590 (52.96%) were male and 1412 (47.04%) were female. The mean AST/ALT ratio was 0.98 ± 0.32, ranging from 0.37 (Min) to 2.17 (Max). Diabetic retinopathy was present in 40.47% of the patients. After multivariate adjustments, for each 0.1 unit increase in AST/ALT ratio, the risk of DR increased by 4% (OR = 1.04, 95% CI: 1.01-1.07, p=0.0053). Higher AST/ALT ratio quartiles were associated with Higher prevalence of DR (OR vs. Q1: Q4=1.34 (CI: 1.03-1.75, p=0.0303).The GAM and smoothed curve fit indicated a linear relationship between AST/ALT ratio and DR risk, with no significant interaction effects across different subgroups. Our study demonstrates a positive correlation between the AST/ALT ratio and diabetic retinopathy risk in type 2 diabetes, suggesting its potential role in assessing DR risk.

Epidemiology and risk factors of diabetic retinopathy in upper Egypt: a 3-year prospective study

Objective To determine the prevalence and risk factors of diabetic retinopathy (DR) in adult diabetic patients during 3 years. Patients and methods This is a cross-sectional study that was carried out on the adult diabetic population who attended a large private referral ophthalmology center in Assiut City, Upper Egypt for 3 years. All cases were subjected to full history taking, ophthalmological examination, and dilated fundus examination for evidence of DR, and besides, the associated systemic complications were assessed. Results The study included a total of 2178 cases and the prevalence of DR was 18.2%. DR was more prevalent in females than males (67.9% vs. 32.1%). Also, DR was significantly associated with insulin use, moderate and poor control of diabetes mellitus, uncontrolled hypertension (HTN), dyslipidemia, and nephropathy (P<0.01 for all). The risk factors for DR were; older age (adjusted odds ratio (AOR) 1.69; 95% CI =0.91–1.97; P≤0.01), female sex (AOR 1.65; 95% CI =1.21–1.86; P =0.02), smoking (AOR 1.73; 95% CI =1.41–2.11; P =0.02), longer duration of DM (> 15 years) (AOR 2.87; 95% CI =2.48–3.29; P ≤0.01), insulin use (AOR 1.42; 95% CI =0.94–1.65; P=0.03), poor control of DM (AOR 3.98; 95% CI =3.69–5.41; P≤0.01), presence of HTN (AOR 2.62; 95% CI =2.37–2.89; P≤0.01) and dyslipidemia (AOR 1.65; 95% CI =1.42–2.02; P=0.03). Conclusion The prevalence of DR in adult diabetic patients was 18.2% and the significant risk factors for DR (arranged descendingly in power) were; poor control of DM, longer duration of DM (> 15 years), presence of HTN, smoking, high age, dyslipidemia, female sex, and insulin use.

Prevalence of Diabetic Retinopathy and Associated Risk Factors in Diabetic Type II Patients in Ajdabiya, Libya

Diabetic retinopathy (DR) is One of the most well-known microvascular complications of diabetes mellitus (DM) and is a frequent side effect of untreated diabetes that can lead to blindness and visual impairment. This study was conducted to assess the prevalence of diabetic retinopathy and associated factors among type 2 diabetic patients. A cross sectional study was done at Ajdabiya diabetic center from November 2023 to January 2024. Subjects and Methods: 52 patients (104 eyes) with T2DM were included in this study, their fasting blood sugar and glycosylated hemoglobin level, lipid profile measured.in addition to fundus examination (done by noncontact +90-diopter lens), fundus photographs taken by Non-Mydriatic Fundus Camera TFC-1000. Around 61 eyes (58.7%) had diabetic retinopathy, 27 eyes (26%) had back ground DR, 6 eyes (5.8 %) had pre-proliferative DR, 4 eyes (3.8%) had proliferative DR, 2 eyes (1.9%) had advanced diabetic eye disease, 22 eyes (21.2%) had CSME. Their ages ranges between 36–74 years with mean (58.90) years, (26.9%) were males, (73.1%) were females. There was a significant association between the development of DR and duration of DM (p=0.003), The FBS levels were also determined to be a significant risk factor for DR (p = 0.031), also LDL with (p=0.039). No other factors were found to have a significant association with DR. In this study more than half of diabetic patients had diabetic retinopathy. There was a significant association between the development of DR and duration of DM, FBS, LDL levels, there was no significant relation between diabetic retinopathy and hypertension, HgA1c Serum cholesterol or triglyceride levels or previous cataract surgery.

The incidence and prevalence of diabetic macular edema and proliferative diabetic retinopathy, their progression to visual impairment and patterns in their intravitreal treatment in the Finnish population.

The worldwide prevalence of diabetes mellitus (DM) continues to increase. As DM is linked to various ophthalmological comorbidities, it is crucial to understand the incidence and the treatment patterns of these complications to minimise the treatment burden for the patient and the healthcare system. This study aims to evaluate the incidence and prevalence of diabetic macular oedema (DME) and proliferative diabetic retinopathy (PDR) and to analyse intravitreal (IVT) treatment patterns and responses in the Finnish population with diabetes. A nationwide data register containing details of over 20-year-old individuals with diabetes was used in the analyses. The incidence and prevalence of DME and PDR among the Finnish population with diabetes either declined or remained stable during 2007-2017 (Incidence rate: DME -40.8%, PDR -65.3%; prevalence rate: DME +4.7%, PDR -11.2%). During the same period, number of persons suffering from diabetes increased by +58.3%. The total number of IVT injections increased by 261.7%; the number of patients receiving IVT treatments increased by 133.6% from 2011 to 2017, reflecting changes in patient numbers in the ophthalmology departments. Furthermore, irrespective of the rising number of patients with diabetes, the numbers with visual impairment declined by 75.8% among DME and by 75.7% among PDR patients in 2007-2017. Regardless of the considerable increase in the workload of ophthalmology departments, the healthcare system has been able to reduce both the age and sex standardised incidence of DME and PDR among the diabetic population suffering from a visual impairment associated with this disease.

Proliferative diabetic retinopathy in severe stages: modern approaches to diagnosis and treatment (systematic review)

Diabetic retinopathy (DR) is a leading complication in patients with diabetes mellitus (DM). Because of the increase in the clinical effectiveness of treatment for diabetes, the life expectancy of patients has increased, which accordingly increases the risk of severe forms of DR (proliferative DR), which is one of the main causes of blindness and low vision in the working-age population. In the literature, the overall prevalence of DR and proliferative DR is up to 34.6% and 12.0%, respectively, whereas 25% of cases of vision loss associated with DR are caused by complications of proliferative DR. Colour fundus photography and optical coherence tomography are the most informative clinical diagnostic methods for DR. In severe stages of proliferative DR, the information content of the presented indicators can be significantly reduced because of insufficient visualisation of the patient’s fundus. Thus, the literature proposes qualitative criteria (specific and single indicators) based on an expert assessment of the condition of the fundus by an ophthalmic surgeon. The described approach has a fairly high diagnostic efficiency. Along with this, it appears relevant to study the ‘quality of life’ of a patient with symptoms of proliferative DR caused by the occurrence of characteristic manifestations of psychological distress (psychological and anxiety disorders and depression). In surgical terms, functional results notably improved after vitrectomy for proliferative DR in 49–83% of cases. Moreover, the proposed methods for conducting vitrectomy for patients with advanced stages of proliferative DR do not fully consider ophthalmological and somatic features, which requires the consideration of the surgical treatment of this contingent as a separate area of vitrectomy for improving ophthalmological ‘techniques’, drug support and choice of anaesthesia.

Prevalence of Diabetic Retinopathy in Diabetic Patients Referred to Mashhad Parsian Diabetes Center, Iran

Background: Diabetes is a common disease that leads to chronic complications such as neuropathy, nephropathy, vascular diseases, and retinopathy. Diabetic retinopathy is an eye condition that can cause vision loss and blindness in diabetic patients. The aim of this study is to describe the prevalence of diabetic retinopathy in diabetic patients.
 Method: In this descriptive-cross-sectional study, 550 patients with diabetes referring to the diabetes centers in Mashhad Parsian Diabetes Center, Iran were enrolled. All patients were assessed for the presence of diabetic retinopathy by direct or indirect ophthalmoscopy. A standardized protocol was used to grade diabetic retinopathy. Two groups of diabetic patients with and without retinopathy were compared in terms of body mass index (BMI), gender, disease duration and type of diabetes, history of blood pressure, history of blood lipids, hemoglobin AIC and albumin.
 Results: The prevalence of diabetic retinopathy among 550 diabetic patients was 23.4% (129 patients). Age, duration of diabetic disease, history of high blood pressure, history of high blood lipids, type 2 diabetes and urine albumin were significantly different between the diabetic patients with and without retinopathy, while no significant difference was observed between the two groups in terms of gender, BMI, smoking, and hemoglobin A1C level.
 Conclusion: Due to the high prevalence of DR in diabetic patients, it is recommended that retinal examination should always be considered in the evaluation of diabetic patients.

The Effect of Cardiometabolic Control and Malnutrition on the Prevalence and Prognosis of Diabetic Retinopathy in Type 2 Diabetes

Purpose:It is estimated that type 2 diabetes mellitus affects 530 million people worldwide and 10.5 per cent of these patients have diabetic retinopathy. This study aims to investigate the predictive value of cardiometabolic control, GGT and malnutrition-related inflammation markers for predicting Diabetic retinopathy prevalence and prognosis.
 Materials and Methods:Type 2 Diabetes Mellitus patients who were consecutively admitted to Internal and Ophthalmology outpatient clinics were included in this study. Clinical, haematological and biochemical data were recorded. Cut-off values of GGT, PNI, NRI and HALP scores were determined by receiver operator characteristic curve analysis. Univariate and multivariate analyses were performed to determine the association of all variables with Diabetic retinopathy. As a result, we evaluated which of these tests were predictive and prognostic for the development of diabetic retinopathy.
 Results:This study included 166 patients. Fasting blood glucose(p

An Economic Analysis for the Use of Artificial Intelligence in Screening for Diabetic Retinopathy in Trinidad and Tobago.

This is a systematic review of 25 publications on the topics of the prevalence and cost of diabetic retinopathy (DR) in Trinidad and Tobago, the cost of traditional methods of screening for DR, and the use and cost of artificial intelligence (AI) in screening for DR. Analysis of these publications was used to identify and make estimates for how resources allocated to ophthalmology in public health systems in Trinidad and Tobago can be more efficiently utilized by employing AI in diagnosing treatable DR. DR screening was found to be an effective method of detecting the disease. Screening wasfound to be a universally cost-effective method of disease prevention and for altering the natural history of the disease in the spectrum of low-middle to high-income economies, such as Rwanda, Thailand, China, South Korea, and Singapore. AI and deep learning systems were found to be clinically superior to, or as effective as, human graders in areas where they were deployed, indicating that the systems are clinically safe. They have been shown to improve access to diabetic retinal screening, improve compliance with screening appointments, and prove to be cost-effective, especially in rural areas. Trinidad and Tobago, which is estimated to be disproportionately more affected by the burden of DR when projected out to the mid-21st century, stands to save as much as US$60 million annually from the implementation of an AI-based system to screen for DR versus conventional manual grading.

Association between obstructive coronary disease and diabetic retinopathy: Cross-sectional study of coronary angiotomography and multimodal retinal imaging

AimsTo investigate the association between diabetic retinopathy (DR) and coronary artery disease (CAD) using coronary angiotomography (CCTA) and multimodal retinal imaging (MMRI) with ultra-widefield retinography and optical coherence tomography angiography and structural domain. MethodsSingle-center, cross-sectional, single-blind. Patients with diabetes who had undergone CCTA underwent MMRI. Uni and multivariate analysis were used to assess the association between CAD and DR and to identify variables independently associated with DR. ResultsWe included 171 patients, 87 CAD and 84 non-CAD. Most CAD patients were males (74 % vs 38 %, P < 0.01), insulin users (52 % vs 38 %, p < 0.01) and revascularized (64 %). They had a higher prevalence of DR (48 % vs 22 %, p = 0.01), microaneurysms (25 % vs 13 %, p = 0.04), intraretinal cysts (22 % vs 8 %, p = 0.01) and areas of reduced capillary density (46 % vs 20 %, p < 0.01). CAD patients also had lower mean vascular density (MVD) (15.7 % vs 16.5,%, p = 0.049) and foveal avascular zone (FAZ) circularity (0.64 ± 0.1 vs 0.69 ± 0.1, p = 0.04). There were significant and negative correlations between Duke coronary score and MVD (r = −0.189; p = 0.03) and FAZ circularity (r = −0,206; p = 0.02). CAD, DM duration and insulin use independently associated with DR. ConclusionsCAD patients had higher prevalence of DR and lower MVD. CAD, DM duration and insulin use were independently associated with DR.

The non-linear relationship between serum albumin and diabetic retinopathy in type 2 diabetes mellitus: a secondary analysis based on a cross-sectional study

BackgroundMost studies had shown a linear relationship between serum albumin (sALB) and the prevalence of diabetic retinopathy (DR). Thus, the purpose of this study is to investigate whether their relationship is non-linear.MethodsWe included 426 patients with type 2 diabetes who were hospitalized in Guangdong Provincial People’s Hospital from December 2017 to November 2018. The outcome was the prevalence of DR. A two-piecewise logistics regression model was performed to identify the non-linear relationship between sALB and the prevalence of DR. The inflection point was calculated to determine the saturation effect through the maximum likelihood ratio and a recursive algorithm.ResultsDR was diagnosed in 167 of 426 type 2 diabetic patients. The relationship between sALB and DR was nonlinear. When sALB was less than 38.10 g/L, a significant negative association was observed (OR = 0.82; 95% CI, 0.72–0.94; P = 0.0037), while no significant association was observed when sALB was greater than 38.10 g/L (OR = 1.12; 95% CI, 0.92–1.35; P = 0.2637).ConclusionsThe relationship between sALB and the prevalence of DR is non-linear. sALB is negatively associated with the prevalence of DR when sALB is less than 38.10 g/L. Our findings need to be confirmed by further prospective research.

Prevalence of Diabetic Retinopathy in Diabetic Subjects Visiting Diabetic Centers of Lahore, Pakistan

One of the chronic illnesses with the highest rate of growth in the globe and a major contributor to acquired visual loss is diabetes mellitus (DM). Globally, diabetic retinopathy (DR), a particular microvascular consequence of DM, continues to be the primary cause of acquired visual loss. Objective: To ascertain the percentage prevalence of diabetic retinopathy in diabetic subjects and the relationship between diabetic retinopathy and potential risk factors. Methods:  This study was conducted at Services Hospital, Lahore. The time duration of study was from November 2018 to June 2019. The patients were asked to fill a designed questionnaire which contained questions regarding patient’s demographic data, habits and history about the disease. Results: A total of 1000 diabetic patients were enrolled and among them 511 (51.1%) had diabetic retinopathy. Among 369 males, 173 (46.9%) males had diabetic retinopathy and among 631 females, 338 (53.6%) females had diabetic retinopathy. The mean age of studied population was 53.77±0.35 years. Logistic regression model indicated that age (years), gender, systolic blood pressure (mmHg), diastolic blood pressure (mmHg), HbA1c level (mmol/L), span of diabetes (years), family history of diabetes, sedentary lifestyle were the risk factors for incidence of diabetic retinopathy in this study. Conclusions: The occurrence of DR is high in the studied population. Age (years), span of diabetes (years), HbA1c level (mmol/L) and not doing exercise were seen to be exhibiting more important role towards the development of diabetic retinopathy.

GLYCOSYLATED HEMOGLOBIN HBA1C AS A BIOMARKER FOR DIABETIC RETINOPATHY

: Diabetes Mellitus (DM) is a long-term metabolic disorder marked by hyperglycemia. Diabetes may lead to various complications like retinopathy. Diabetic retinopathy is a microvascular disorder that may lead to vision loss. It was a hospital-based study to determine the prevalence of diabetic retinopathy in chronic diabetic patients. Patients who visited DHQ and Al Sheikh Hospital Sialkot with blurry or poor vision were taken as samples. The sample size for this study was 100. The demographic and medical history of patients were taken through a questionnaire. These patients were checked by an experienced ophthalmologist after the pupil dilation. After the proper examination, it was suggested that a patient have an HbA1c test to monitor diabetic control. The HbA1c test is one of the most effective techniques to monitor diabetic control. Out of the 100 patients, 60% were diagnosed with diabetic retinopathy. Out of these, 36% were diagnosed with non-proliferative diabetic retinopathy, and 24% were diagnosed with proliferative retinopathy. The results were quite alarming, as 60 out of 100 were suffering from diabetic retinopathy. This study provided the prevalence of diabetic retinopathy in the district of Sialkot. This study also helps to understand the severity of hyperglycemia that may lead to vision loss due to diabetic retinopathy.

An Ayurvedic Management of Diabetic Retinopathy - A Case Report

Diabetic retinopathy (DR) is the most frequent micro vascular complication of Diabetes mellitus. It is an eye condition that can cause vision loss and blindness. Globally the prevalence of Diabetic retinopathy among diabetic patients is estimated to be 27.0% which leads to 0.4 million blindness in the world.[1] It affects blood vessels in the retina (the light-sensitive layer of tissue in the back of the eye). It commonly affects both eyes and can lead to vision loss if it left untreated. Currently available conventional treatments (Focal laser therapy, Anti-vascular growth factor drug) for DR have certain limitations, considering which options from alternative resources are being searched. Despite advances in science the treatment of DR is challenging. So, in this case Ayurveda treatment was done.

Diabetic Retinopathy Detection Using InceptionResnet-V2 and Densenet121

This project addresses the global health challenge posed by the prevalence of diabetic retinopathy (DR) by developing an efficient automated diagnostic system. The dataset, consisting of diverse high-resolution retinal images, underwent preprocessing to categorize images into No DR (0) and DR (1-4) classes. The First initial binary classification model using a Convolutional Neural Network (CNN) discriminated between healthy and diseased retinas. Subsequently, The second multi-class CNN model was designed to predict the severity of diabetic retinopathy (DR) across a spectrum from mild (1) to proliferative DR (4), enabling a fine-grained analysis for early identification of cases requiring urgent intervention. To address real-world complexities, potential noise in the dataset, including artifacts and exposure variations, was acknowledged. The CNN models were designed to exhibit resilience to these challenges, ensuring robust performance in clinical settings. Preprocessing is considered the common occurrence of image inversion in retinal imaging by incorporating anatomical features, such as macula position and notches, to correctly identify image orientation and enhance result interpretability. The proposed automated analysis system demonstrated promising results in accurately categorizing retinal images into No DR and DR, as well as assigning severity scores for diabetic retinopathy. This project contributes significantly to computer-aided diagnostics, Supplying a dependable instrument for promptly identifying and addressing cases of diabetic retinopathy.