FRACTAL SHEPARD FORWARD FRACTIONAL NETWORK FOR DIABETIC RETINOPATHY SEVERITY GRADE CLASSIFICATION

Studies have not yet determined whether the distribution of lesions in the retinal periphery alters the association between the severity of diabetic retinopathy (DR) and macular vessel density. To evaluate the association of DR lesion distribution with optical coherence tomography angiography (OCTA) metrics and DR severity. This cross-sectional observational study was conducted at a tertiary care center for diabetic eye disease among 225 patients with type 1 or 2 diabetes who had undergone imaging between February 15, 2016, and December 31, 2019. Optical coherence tomography angiography 3 × 3-mm macular scans and ultra-widefield color imaging. Optical coherence tomography angiography vessel density in the superficial capillary plexus, intermediate capillary plexus, and deep capillary plexus and choriocapillaris flow density. The severity of DR and the predominantly peripheral lesions (PPL) were evaluated from ultra-widefield color imaging. The study evaluated 352 eyes (225 patients; 125 men [55.6%]; mean [SD] age, 52.1 [15.1] years), of which 183 eyes (52.0%) had mild nonproliferative diabetic retinopathy (NPDR), 71 eyes (20.2%) had moderate NPDR, and 98 eyes (27.8%) had severe NPDR or proliferative diabetic retinopathy (PDR). In eyes with no PPL (209 [59.4%]), the mean (SD) vessel density in the superficial capillary plexus (mild NPDR, 38.1% [4.7%]; moderate NPDR, 36.4% [4.6%]; severe NPDR or PDR, 34.1% [4.1%]; P < .001) and the deep capillary plexus (mild NPDR, 45.8% [3.0%]; moderate NPDR, 45.8% [2.2%]; severe NPDR or PDR, 44.5% [1.9%]; P = .002), as well as the mean (SD) choriocapillaris flow density (mild NPDR, 69.7% [6.2%]; moderate NPDR, 67.6% [5.6%]; severe NPDR or PDR, 67.1% [5.6%]; P = .01), decreased with increasing DR severity. These associations remained statistically significant even after correcting for age, signal strength index, spherical equivalent, duration of diabetes, type of diabetes, and correlation between eyes of the same patient. In eyes with PPL (143 [40.6%]), mean (SD) vessel density in the superficial capillary plexus (mild NPDR, 34.1% [4.1%]; moderate NPDR, 35.2% [4.1%]; severe NPDR or PDR, 36.0% [4.3%]; P = .42) and the deep capillary plexus (mild NPDR, 44.5% [1.7%]; moderate NPDR, 45.4% [1.4%]; severe NPDR or PDR, 44.9% [1.5%]; P = .81), as well as the mean (SD) choriocapillaris flow density (mild NPDR, 67.1% [5.6%]; moderate NPDR, 69.3% [4.6%]; severe NPDR or PDR, 68.3% [5.6%]; P = .49), did not appear to change with increasing DR severity. These results suggest that central retinal vessel density is associated with DR severity in eyes without, but not with, PPL. These findings suggest a potential need to stratify future optical coherence tomography angiography studies of eyes with DR by the presence or absence of PPL. If DR onset and worsening are associated with the location of retinal nonperfusion, assessment of global retinal nonperfusion using widefield angiography may improve the ability to evaluate DR severity and risk of DR worsening over time.

BackgroundThis study evaluated impact of anti–vascular endothelial growth factor (VEGF) treatment on proliferative diabetic retinopathy (PDR) development among patients with non-proliferative diabetic retinopathy (NPDR) in US real-world clinical practice.MethodsThis was a retrospective analysis of electronic medical records (Vestrum Health; January 2013 to June 2019) of eyes with baseline NPDR, without DME, and naïve to anti-VEGF treatment at index DR diagnosis. Eyes that received anti-VEGF and/or laser treatment over the course of study before development of PDR constituted the treated cohort while the remaining including those treated with laser constituted the anti-VEGF naïve cohort. Survival analysis via Kaplan–Meier method evaluated time to DME and PDR development by baseline NPDR severity, with anti-VEGF treatment as censoring variable. Baseline factors affecting PDR development were analyzed using Cox multivariable regression, censoring for anti-VEGF treatment.ResultsAmong anti-VEGF–naive eyes, cumulative incidence of DME in eyes with mild (n = 70,050), moderate (n = 39,116), and severe NPDR (n = 10,692) at baseline was 27.1%, 51.2%, and 60.6%. Multivariable regression analysis identified baseline NPDR severity as the most significant predictor of PDR development over 48 months (hazard ratio [HR] [95% confidence interval {CI}] of 2.69 (2.65–2.72) for moderate vs mild NPDR and 6.51 (6.47–6.55) for severe vs mild NPDR). Cumulative incidence (95% CI) of PDR was 7.9% (7.4%–8.3%), 20.9%, (20.0%–21.7%) and 46.8% (44.4%–49.2%) over 48 months in eyes with mild, moderate, and severe NPDR at baseline, respectively. Among treated eyes with baseline severe NPDR, cumulative incidence of PDR at 48 months was 50.1% in eyes treated with laser (n = 546; HR [95% CI] vs no treatment: 0.8 [0.7–1.0]), 27.4% in eyes treated with anti-VEGF (n = 923; HR [95% CI]: 0.4 [0.4–0.5]), and 25.6% in eyes treated with anti-VEGF plus laser (n = 293; HR [95% CI]: 0.5 [0.4–0.7]) compared with 49.9% in eyes with no treatment (n = 8930).ConclusionsDME and PDR development rates increased with increasing baseline NPDR severity. Approximately half of anti-VEGF‒naive eyes with severe NPDR progressed to PDR within 4 years in US clinical practice. The progression rate from severe NPDR to PDR was approximately halved with anti-VEGF versus no treatment.

To study the changes in central macular thickness (CMT) in diabetic patients before and after cataract surgery using optical coherence tomography (OCT) and compare on the basis of grades of diabetic retinopathy (DR). Methods: This is a prospective observational, single centre hospital based study including 94 patients with diabetes mellitus undergoing phacoemulsification surgery at our hospital. The pre-op stage of DR, best corrected visual acuity (BCVA), CMT, glycosylated hemoglobin (HbA1c) levels were recorded and the data compared with post-op BCVA, CMT measured at one week, four weeks and three months post-op. ANOVA: Two factor without multiplication and Karl Pearson’s correlation coefficient were used for statistical analysis. Results: A total of 6.4% (6) patients developed post-operative clinically significant macular edema (CSME) out of which 9% had moderate non proliferative diabetic retinopathy (NPDR), 16.6% had severe and very severe NPDR. 58.5% (55) were found to have sub clinical macular edema (SCME) detected by OCT-macula, which includes 11 (45.8%) no DR cases; 14 (58.3% ) cases of mild NPDR; 14(63.63%) cases of moderate NPDR; 16 (66.67%) cases of severe and very severe NPDR (p=0.000133). The post-operative BCVA at week four, for patients with no DR; mild NPDR; moderate NPDR; severe and very severe NPDR is 20/25; 20/30; 20/40; 20/40 respectively showing lesser BCVA in patients with higher grades of diabetic retinopathy than those with mild NPDR or no DR. Among the patients who had either SCME or CSME post-operatively, it was found that 17 had pre-op SCME of which 4 had moderate NPDR and 13 had severe or very severe NPDR. The maximum rise in central macular thickness, was observed in patients with preoperative moderate, severe and very severe NPDR and those having pre-operative sub-clinical macular oedema. Among those developing CSME, 100% had uncontrolled blood sugar (UCBS) levels, and those with SCME, only 29.09% had controlled blood sugar (CBS) while rest 70.91% had UCBS. Discussion: It was found that those patients with an UCBS, pre-existing severe DR and SCME developed a significant increase in central macular thickness, following cataract surgery. It can be concluded that in diabetic patients the blood sugar levels and pre-operative stage of DR are important prognostic factors in determining post-operative macular thickness and visual recovery post cataract surgery.

PurposeTo characterize the natural course of diabetic retinopathy (DR) in contemporary clinical practice.Patients and MethodsThis was a retrospective analysis of US claims data collected between January 1, 2006, and April 30, 2017. Patients aged ≥18 years with continuous medical and prescription insurance coverage for 18 months before DR diagnosis (index date) and for a follow-up period of 5 years were included (N=14,490). The time and risk of progressing to severe nonproliferative DR (NPDR) or proliferative DR (PDR) and of developing diabetic macular edema (DME) were evaluated over 5 years in patients stratified by DR severity at initial diagnosis.ResultsThe estimated probability of progressing to severe NPDR or PDR within 5 years of diagnosis was 17.6% for patients with moderate NPDR versus 5.8% for mild NPDR. The probability of developing DME within 5 years was 62.6%, 44.6%, and 28.4% for patients diagnosed with severe NPDR, moderate NPDR, and PDR, respectively, versus 15.6% for mild NPDR. Among those observed to progress, median time to severe NPDR or PDR was approximately 2.0 years in patients with moderate NPDR, whereas median time to DME was approximately 0.5 years in patients with severe NPDR, 1.3 years in moderate NPDR, and 1.6 years in PDR. Relative to mild NPDR, adjusted hazard ratios (95% confidence interval) for progression to severe NPDR or PDR within 5 years were 3.12 (2.61–3.72) in patients with moderate NPDR, and for incident DME were 5.92 (5.13–6.82), 3.54 (3.22–3.91), and 1.96 (1.80–2.14) in patients with severe NPDR, moderate NPDR, and PDR, respectively.ConclusionThe risk of DR progression and DME over 5 years was highest among patients diagnosed with moderate and severe NPDR, respectively. Our findings reinforce the importance of close monitoring for these patients to avoid unobserved disease progression toward PDR and/or DME.

Our research goal was to complete a retrospective chart review to determine if there is a correlation between the level of diabetic retinopathy and diabetic neurosensory hearing loss. A retrospective analysis of 175 Department of Veterans Affairs Computerized Patient Record System charts was completed at the VA Portland Health Care System. Subjects were classified by degree of diabetic retinopathy as follows: no diabetic retinopathy (n = 80), mild nonproliferative diabetic retinopathy (n = 51), moderate nonproliferative diabetic retinopathy (n = 25), and combined severe nonproliferative diabetic retinopathy and proliferative diabetic retinopathy (PDR) (n = 17). Degree of sensorineural hearing was collected for each ear. Additionally, measures of diabetic control, including hemoglobin A1C, and creatinine, were recorded. After controlling for diabetic control, as measured by HbA1C and creatinine, level of diabetic retinopathy was significantly associated with hearing loss severity in both ears (right ear, P = .018 and left ear, P = .007). When adjusted to include diabetes control, the severity of diabetic retinopathy showed a correlation with degree of hearing loss at most levels. Because of this association, recommendation for hearing evaluations may be considered for those with mild, moderate, or severe nonproliferative or proliferative diabetic retinopathy.

Objective: To assess the effect of diabetic retinopathy (DR) on vision-related quality of life (VRQoL) in patients with type 2 diabetes. Methods: In this cross-sectional study, patients with type 2 diabetes residing in 15 residency communities in Fushun, Liaoning province were enrolled from July 2012 to May 2013. We measured the VRQoL by the 25-item National Eye Institute Visual Function Questionnaire (NEI-VFQ-25). Patients were grouped according to their age, gender, presence of visual impairment, and affected eyes. NEI-VFQ-25 scores were compared between/among groups using the Wilcoxon rank-sum test or Kruskal-Wallis H test. The severity of DR in the eyes was graded into no DR, mild non-proliferative diabetic retinopathy (NPDR), moderate NPDR, severe NPDR, and proliferative diabetic retinopathy (PDR). Severity scores from both eyes were then summarized to create a single per-person grade ranging from 1 (no DR in either eye) to 7 (bilateral PDR). Generalized linear models were used to assess the linear relationship between NEI-VFQ-25 scores and DR severity. Locally weighted scatterplot smoothing plots were generated to evaluate the possible nonlinear associations between concatenated severity of DR and VRQoL. Results: A total of 1 537 patients were recruited, including 836 (54.4%) with no DR, 479 (31.2%) with mild NPDR, 90 (5.9%) with moderate NPDR, 72 (4.7%) with severe NPDR and 60 (3.9%) with PDR. Compared with patients with unilateral DR, bilaterally involved subjects were statistically significantly compromised in general vision [70.2 (66.5, 72.5) vs. 68.9 (63.9, 71.6), Z=90.222, P=0.038], near activities [90.5 (85.8, 94.0) vs. 88.8 (84.5, 92.5), Z=114.942, P=0.005], dependency [91.1 (85.6, 96.5) vs. 89.3 (83.8, 94.5), Z=91.934, P=0.033], mental health [80.0 (73.4, 84.9) vs. 77.5 (70.8, 82.0), Z=118.388, P=0.003], role difficulties [76.8 (70.1, 82.4) vs. 74.5 (67.6, 80.6), Z =90.791, P=0.036] and NEI-VFQ-25 composite [88.3 (84.2, 91.0) vs. 86.9 (82.8, 90.1), Z=96.207, P=0.024]. Scores on general vision (χ2=85.665), near activities (χ2=78.462), distance activities (χ2=145.489), social function (χ2=53.629), dependency (χ2=86.710), mental health (χ2=68.281), role difficulties (χ2=45.357), color vision (χ2=68.176), peripheral vision (χ2=116.179) and NEI-VFQ-25 composite (χ2=133.291) decreased gradually as DR severity increased (all P<0.001). On role difficulties, locally weighted scatterplot smoothing plots showed significant"turning points"from bilateral mild NPDR to mild NPDR/>mild NPDR (slope m=-4.7) and from moderate NPDR/≥moderate NPDR to severe NPDR/≥severe NPDR (slope m=-12.6). Conclusion: Both greater severity and bilaterality of DR were associated with lower vision-specific VRQoL, particularly role difficulties and mental health.

To investigate the accuracy of the RETeval full-field flicker ERG in the screening of diabetic retinopathy (DR) and vision-threatening diabetic retinopathy (VTDR) and to determine a suitable range of DR diagnostic reference for patients with type 2 diabetes mellitus (T2DM). This was a cross-sectional study involving 172 subjects with T2DM, including 71 subjects without clinically detectable DR (NDR), 25 subjects with mild non-proliferative diabetic retinopathy (NPDR), 24 subjects with moderate NPDR, 27 subjects with severe NPDR and 25 subjects with proliferative diabetic retinopathy (PDR). All the subjects underwent a full-field flicker ERG using the RETeval device (DR assessment protocol), which is a mydriasis-free, full-field electroretinogram (ERG) recording system. The performance of the DR assessment protocol in detecting the DR (including mild NPDR, moderate NPDR, severe NPDR and PDR) and VTDR was analyzed with the receiver operating characteristic (ROC) curve. For the detection of DR (mild NPDR, moderate NPDR, severe NPDR, PDR), the area under the ROC curve was 0.867 (p < 0.001, 95% CI 0.814-0.920), and the best cutoff value for DR was determined to be 20.75, with a sensitivity of 80.2% and specificity of 81.7%. Meanwhile, for the detection of VTDR, the area under the ROC curve was 0.965 (p < 0.001, 95% CI 0.941-0.989), and the best cutoff value was set to 23.05, with a sensitivity of 94.6% and a specificity of 88.8%. The DR assessment protocol in RETeval device was effective in screening for DR (mild NPDR, moderate NPDR, severe NPDR, PDR) and VTDR in patients with diabetes. It could be helpful in referring and managing patients with T2DM in primary healthcare setting. However, caution should be taken that optimal cutoff value of DR assessment protocol may vary in different ethnic populations.

To evaluate severity of diabetic retinopathy in patients of type 2 diabetes mellitus with diabetic nephropathy. This was a cross sectional study of 159 eyes of 80 patients aged above 40 years, diagnosed to have Type 2 DM with diabetic nephropathy. All the patients were investigated for albuminuria. The retinopathy was evaluated according to the Early Treatment Diabetes Retinopathy Study (ETDRS) classification into nonproliferative diabetic retinopathy (NPDR) and proliferative diabetic retinopathy (PDR). Diabetic macular edema was characterized as clinically significant macular edema (CSME) and non-CSME. The severity of retinopathy was correlated with nephropathy. In this study, mean age of the patients were 58.26± 6.43 years and male to female ratio 1.96:1. Out of 80 diabetic patients, 22(27.5%) patients had microalbuminuria and 58 (72.5 %) had macroalbuminuria. In this study, 67 (83.7%) patients had diabetic retinopathy, out of which 14 (20.9%) patients had mild NPDR, 20 (29.9%) had moderate NPDR, 16 (23.9%) had severe NPDR, 5(7.4%) had very severe NPDR and 12 (17.9%) had PDR. In 22 patients with microalbuminuria 6 (27.3%) had mild NPDR, 4 (5.0%) had moderate NPDR and none had maculopathy. In 58 patients with macroalbuminuria, 8 (13.8%) had mild NPDR, 16 (27.6%) had moderate NPDR, 16 (27.6%) severe NPDR, 5 (8.6%) has very severe NPDR, 4(6.9%) had early PDR and 8(13.8%) had high-risk PDR, 14 (24.1%) had CSME and 4 (6.9%) had non-CSME. In our study, diabetic nephropathy patients with macroalbuminuria had more severe type of DR than patients with microalbuminuria.

Machine learning (ML) algorithms have the potential to identify eyes with early diabetic retinopathy (DR) at increased risk for disease progression. To create and validate automated ML models (autoML) for DR progression from ultra-widefield (UWF) retinal images. Deidentified UWF images with mild or moderate nonproliferative DR (NPDR) with 3 years of longitudinal follow-up retinal imaging or evidence of progression within 3 years were used to develop automated ML models for predicting DR progression in UWF images. All images were collected from a tertiary diabetes-specific medical center retinal image dataset. Data were collected from July to September 2022. Automated ML models were generated from baseline on-axis 200° UWF retinal images. Baseline retinal images were labeled for progression based on centralized reading center evaluation of baseline and follow-up images according to the clinical Early Treatment Diabetic Retinopathy Study severity scale. Images for model development were split 8-1-1 for training, optimization, and testing to detect 1 or more steps of DR progression. Validation was performed using a 328-image set from the same patient population not used in model development. Area under the precision-recall curve (AUPRC), sensitivity, specificity, and accuracy. A total of 1179 deidentified UWF images with mild (380 [32.2%]) or moderate (799 [67.8%]) NPDR were included. DR progression was present in half of the training set (590 of 1179 [50.0%]). The model's AUPRC was 0.717 for baseline mild NPDR and 0.863 for moderate NPDR. On the validation set for eyes with mild NPDR, sensitivity was 0.72 (95% CI, 0.57-0.83), specificity was 0.63 (95% CI, 0.57-0.69), prevalence was 0.15 (95% CI, 0.12-0.20), and accuracy was 64.3%; for eyes with moderate NPDR, sensitivity was 0.80 (95% CI, 0.70-0.87), specificity was 0.72 (95% CI, 0.66-0.76), prevalence was 0.22 (95% CI, 0.19-0.27), and accuracy was 73.8%. In the validation set, 6 of 9 eyes (75%) with mild NPDR and 35 of 41 eyes (85%) with moderate NPDR progressed 2 steps or more were identified. All 4 eyes with mild NPDR that progressed within 6 months and 1 year were identified, and 8 of 9 (89%) and 17 of 20 (85%) with moderate NPDR that progressed within 6 months and 1 year, respectively, were identified. This study demonstrates the accuracy and feasibility of automated ML models for identifying DR progression developed using UWF images, especially for prediction of 2-step or greater DR progression within 1 year. Potentially, the use of ML algorithms may refine the risk of disease progression and identify those at highest short-term risk, thus reducing costs and improving vision-related outcomes.

PurposeThe purpose of this study was to evaluate differences in optical coherence tomography angiography (OCTA) metrics in the superficial (SCP), intermediate (ICP), and deep (DCP) vascular plexuses across diabetic retinopathy (DR) severity levels.MethodsThis was a cross sectional observational retrospective chart review study. Eligible patients with diabetes who underwent same day RTVue XR Avanti OCTA, spectral-domain optical coherence tomography (SD-OCT), and 200-degree Optos ultrawide field color imaging. SCP, ICP, and DCP vessel density (VD) and vessel length density (VLD) were assessed using 3-D projection artifact removal software (PAROCTA) software.ResultsOf 396 eyes (237 patients), 16.1% had no DR, 26.9% mild nonproliferative DR (NPDR), 21.1% moderate NPDR, 12.1% severe NPDR, 10.1% proliferative DR (PDR) without panretinal photocoagulation (PRP), and 13.4% PDR with PRP. When comparing mild NPDR to no DR eyes, ICP and DCP VD and VLD were significantly lower, but there was no difference for SCP metrics. In eyes with more severe DR, there were significant differences in SCP VD and VLD between DR severity levels (mild versus moderate NPDR: VD 35.45 ± 3.31 vs. 34.14 ± 3.38, P = 0.008 and VLD 17.59 ± 1.83 vs. 16.80 ± 1.83, P = 0.003; moderate versus severe NPDR: VLD 16.80 ± 1.83 vs. 15.79 ± 1.84, P = 0.019), but no significant differences in ICP or DCP.ConclusionsAlthough VD of each of the three individual layers decreases with increasing DR severity, DR severity has a substantially different effect on OCTA parameters within each layer. Vascular changes in eyes with no to early DR were present primarily in the deeper vascular layers, whereas in eyes with advanced DR the opposite was observed. This study highlights the effects of ICP and the importance of assessing SCP and DCP changes independently across each DR severity level.

(1) Background: Diabetic retinopathy (DR) can cause blindness. Current guidelines on diabetic eye care recommend more frequent eye examinations for more severe DR to prevent deterioration. However, close follow-up and early intervention at earlier stages are important for the prevention of disease progression of other diabetes mellitus (DM) complications. The study was designed to investigate the association between different stages of DR in type 2 DM patients and the progression of DR; (2) Methods: A total of 2623 type 2 DM patients were included in this study. In these patients, a total of 14,409 fundus color photographs was obtained. The primary outcome was the progression of DR; (3) Results: The progression of DR was highly associated with the initial grade of DR (p < 0.001). Severe nonproliferative diabetic retinopathy (NPDR) was the most likely to progress to proliferative diabetic retinopathy (PDR), followed by moderate NPDR, mild NPDR, and no retinopathy. However, progression to the next stage of DR showed a different trend. We used no retinopathy as a reference. Mild NPDR showed the highest risk for progression to the next stage [hazard ratio (HR): 2.00 (95% conference interval (CI): 1.72–2.32)] relative to higher initial grades [HR (moderate NPDR): 1.82 (95% CI: 1.58–2.09) and HR (severe NPDR): 0.87 (95% CI: 0.69–1.09)]. The same trend was observed in the multivariate analysis, in which mild NPDR presented the highest risk for progression to the next stage (adjusted HR (mild NPDR): 1.95 (95% CI: 1.68–2.27), adjusted HR (moderate NPDR): 1.73 (95% CI: 1.50–1.99), and adjusted HR (severe NPDR): 0.82 (95% CI: 0.65–1.03)); (4) Conclusions: Type 2 diabetic patients with earlier-grade DR appeared to exhibit more rapid development to the next grade in our study. As these findings show, more frequent fundus color photography follow-up in earlier-grade DR patients is important to slow DR progression and awaken self-perception.

Purpose To determine risk factors that affect nonproliferative diabetic retinopathy (NPDR) progression and establish a predictive model to estimate the probability of and time to progression in NPDR. Patients and Methods. Charts of diabetic patients who received an initial eye exam between 2010 and 2017 at our county hospital were included. Patients with proliferative diabetic retinopathy (PDR), fewer than 2 years of follow-up, or fewer than 3 clinic visits were excluded. Demographics and baseline systemic and ocular characteristics were recorded. Follow-up mean annual HbA1c and blood pressure, best-corrected visual acuity, and the number of antivascular endothelial growth factor treatments were recorded. Stage and date of progression were recorded. A 5-state nonhomogeneous continuous-time Markov chain with a backward elimination model was used to identify risk factors and estimate their effects on progression. Results Two hundred thirty patients were included. Initially, 65 eyes (28.3%) had no retinopathy; 73 (31.7%) mild NPDR; 60 (26.1%) moderate NPDR; and 32 (13.9%) severe NPDR. Patients were followed for a mean of 5.8 years (±2.0 years; range 2.1–9.4 years). 164 (71.3%) eyes progressed during the follow-up. Time-independent risk factors affecting progression rate were age (hazard ratio (HR) = 0.99, P=0.047), duration of diabetes (HR = 1.02, P=0.018), and Hispanic ethnicity (HR = 1.31, P=0.068). Mean sojourn times at mean age, duration of diabetes, and annual HbA1c for a non-Hispanic patient were estimated to be 3.03 (±0.97), 4.63 (±1.21), 6.18 (±1.45), and 4.85 (±1.25) years for no retinopathy, mild NPDR, moderate NPDR, and severe NPDR, respectively. Each 1% increase in HbA1c annually diminished sojourn times by 15%, 10%, 7%, and 10% for no retinopathy, mild NPDR, moderate NPDR, and severe NPDR, respectively. Conclusion HbA1c level is a significant modifiable risk factor in controlling the progression of DR. The proposed model could be used to predict the time and rate of progression based on an individual's risk factors. A prospective multicenter study should be conducted to further validate our model.

BackgroundWith the diabetes mellitus (DM) prevalence increasing annually, the human grading of retinal images to evaluate DR has posed a substantial burden worldwide. SmartEye is a recently developed fundus image processing and analysis system with lesion quantification function for DR screening. It is sensitive to the lesion area and can automatically identify the lesion position and size. We reported the diabetic retinopathy (DR) grading results of SmartEye versus ophthalmologists in analyzing images captured with non-mydriatic fundus cameras in community healthcare centers, as well as DR lesion quantitative analysis results on different disease stages.MethodsThis is a cross-sectional study. All the fundus images were collected from the Shanghai Diabetic Eye Study in Diabetics (SDES) program from Apr 2016 to Aug 2017. 19,904 fundus images were acquired from 6013 diabetic patients. The grading results of ophthalmologists and SmartEye are compared. Lesion quantification of several images at different DR stages is also presented.ResultsThe sensitivity for diagnosing no DR, mild NPDR (non-proliferative diabetic retinopathy), moderate NPDR, severe NPDR, PDR (proliferative diabetic retinopathy) are 86.19, 83.18, 88.64, 89.59, and 85.02%. The specificity are 63.07, 70.96, 64.16, 70.38, and 74.79%, respectively. The AUC are PDR, 0.80 (0.79, 0.81); severe NPDR, 0.80 (0.79, 0.80); moderate NPDR, 0.77 (0.76, 0.77); and mild NPDR, 0.78 (0.77, 0.79). Lesion quantification results showed that the total hemorrhage area, maximum hemorrhage area, total exudation area, and maximum exudation area increase with DR severity.ConclusionsSmartEye has a high diagnostic accuracy in DR screening program using non-mydriatic fundus cameras. SmartEye quantitative analysis may be an innovative and promising method of DR diagnosis and grading.

Introduction: Diabetic retinopathy (DR) remains a visually debilitating disease and is commonly classified according to its severity as non-proliferative DR (NPDR) or proliferative DR (PDR). Those suffering from PDR tend to have worse vascular complications and prognosis. Platelets exposed by vasculopathy caused by DR maybe activated to try to maintain haemostasis. This activity can be illustrated by the mean platelet component (MPC). Therefore, by MPC monitoring we may be able to predict the progression from NPDR into PDR.Purpose: To investigate the difference of MPC in patients with NPDR and PDR.Study design: Cross-sectional.Materials and methods: This study involved 71 DR patients. Preliminary data regarding the patients’ demographic characteristics, diabetes history, related diseases, medication history, and general eye examination were recorded. Fundus photographs were taken after dilating eyedrops and DR was graded by an ophthalmologist. The patients were grouped into NPDR and PDR. Mean platelet component was analyzed using the automatic hematology analyzer ADVIA 120.Results: Mean platelet component (MPC) was 26.69 g/dl (± 1.79) and 25.52 g/dl (± 1.20) in the NPDR and PDR group, respectively (p = 0.002), but was not clinically significant. In depth analysis into the DR grades differed significantly between mild NPDR and high-risk PDR (p = 0.015), and moderate NPDR and high-risk PDR (p = 0.024). Using our definition of mild DR (mild and moderate NPDR) and severe DR (high-risk and advanced PDR), there was a significant difference with mean MPC of 27.01 g/dl (± 1.64) and 25.31 g/dl (± 1.22), respectively (p = 0.001). The proportion of activated platelets was also higher in severe DR. Negative correlations were found between MPC with duration of DM (r = -0.333; p = 0.004) and MPC with systolic blood pressure (r = -0.241; p = 0.043).Conclusion: There was a significant difference in MPC between NPDR and PDR, but the results should be interpreted carefully. Further analysis between the mild and severe form of DR strengthened this finding.

To evaluate the integrity of macular and temporomacular vasculature in nonproliferative diabetic retinopathy (NPDR) with noninvasive optical coherence tomography angiography (OCTA) and correlate perfusion indices with degree of NPDR. In this prospective observational cross-sectional study, 102 eyes with newly diagnosed NPDR (mild NPDR, 36; moderate NPDR, 21; severe NPDR, 13; NPDR with diabetic macular edema [DME], 32) underwent OCTA. Sixty eyes of normal subjects served as control. Degree of NPDR (based on Early Treatment Diabetic Retinopathy Study criteria) was confirmed with fluorescein angiography. Automated OCTA/split-spectrum amplitude decorrelation angiography software generated perfusion indices (vessel density and flow index) from images of the retina. The perfusion index of superficial and deep retinal plexuses was obtained in both perifoveal (central 1-3 mm) and parafoveal (3-6 mm) areas. Deep plexus parafoveal vessel density was 25.23% (±6.1) in mild NPDR, 20.16% (±6.16) in moderate NPDR, 11.16% (±4.16) in severe NPDR, and 17.91% (±4.42) in NPDR + DME compared to normal subjects (36.93% [±8.1]; (p<0.01). Spearman correlation coefficient (rs) between vessel density and level of NPDR severity in the parafoveal region showed inverse correlation for both superficial (rs -0.87; p = 0.083) and deep (rs -0.96; p = 0.017) plexus. Similarly, when vessel density of the perifoveal region was compared with level of NPDR severity, inverse correlation was noted in both superficial (rs -0.85; p = 0.08) and deep (rs -0.98; p = 0.011) plexus. Optical coherence tomography angiography clearly delineated the retinal microcirculation and allowed quantification of vascular perfusion of each layer. As diabetic retinopathy progressed, a decrease in perfusion index is more pronounced in the deep retinal plexus and precedes changes in superficial plexus.