Prevalence of ocular fundus pathology with type 2 diabetes in a Chinese urban community as assessed by telescreening

Evaluating the outcome of screening for glaucoma using colour fundus photography-based referral criteria in a teleophthalmology screening programme for diabetic retinopathy

AIMS

To evaluate the effectiveness of glaucoma screening using glaucoma suspect (GS) referral criteria assessed on colour fundus photographs in Singapore's Integrated Diabetic Retinopathy Programme (SiDRP).

METHODS

A case-control study. This study included diabetic subjects who were referred from SiDRP with and without GS between January 2017 and December 2018 and reviewed at Singapore National Eye Centre. The GS referral criteria were based on the presence of a vertical cup-to-disc ratio (VCDR) of ≥0.65 and other GS features. The final glaucoma diagnosis confirmed from electronic medical records was retrospectively matched with GS status. The sensitivity, specificity and positive predictive value (PPV) of the test were evaluated.

RESULTS

Of 5023 patients (2625 with GS and 2398 without GS) reviewed for glaucoma, 451 (9.0%, 95% CI 8.2% to 9.8%) were confirmed as glaucoma. The average follow-up time was 21.5±10.2 months. Using our current GS referral criteria, the sensitivity, specificity and PPV were 81.6% (95% CI 77.7% to 85.1%), 50.6% (95% CI 49.2% to 52.1%) and 14.0% (95% CI 13.4% to 14.7%), respectively, resulting in 2257 false positive cases. Increasing the VCDR cut-off for referral to ≥0.80, the specificity increased to 93.9% (95% CI 93.1% to 94.5%) but the sensitivity decreased to 11.3% (95% CI 8.5% to 14.6%), with a PPV of 15.4% (95% CI 12.0% to 19.4%).

CONCLUSIONS

Opportunistic screening for glaucoma in a lower VCDR group could result in a high number of unnecessary referrals. If healthcare infrastructures are limited, targeting case findings on a larger VCDR group with high specificity will still be beneficial.

Plasma cytokines for predicting diabetic retinopathy among type 2 diabetic patients via machine learning algorithms

AIMS

This study aimed to investigate changes of plasma cytokines and to develop machine learning classifiers for predicting non-proliferative diabetic retinopathy among type 2 diabetes mellitus patients.

RESULTS

There were 12 plasma cytokines significantly higher in the non-proliferative diabetic retinopathy group in the pilot cohort. The validation cohort showed that angiopoietin 1, platelet-derived growth factor-BB, tissue inhibitors of metalloproteinase 2 and vascular endothelial growth factor receptor 2 were significantly higher in the NPDR group. Machine learning algorithms using the random forest yielded the best performance, with sensitivity of 92.3%, specificity of 75%, PPV of 82.8%, NPV of 88.2% and area under the curve of 0.84.

CONCLUSIONS

Plasma angiopoietin 1, platelet-derived growth factor-BB, and vascular endothelial growth factor receptor 2 were associated with presence of non-proliferative diabetic retinopathy and may be good biomarkers that play important roles in pathophysiology of diabetic retinopathy.

MATERIALS AND METHODS

In pilot cohort, 60 plasma cytokines were simultaneously measured. In validation cohort, angiopoietin 1, CXC-chemokine ligand 16, platelet-derived growth factor-BB, tissue inhibitors of metalloproteinase 1, tissue inhibitors of metalloproteinase 2, and vascular endothelial growth factor receptor 2 were validated using ELISA kits. Machine learning algorithms were developed to build a prediction model for non-proliferative diabetic retinopathy.

Prevalence and risk factors of diabetic retinopathy in diabetic patients: A community based cross-sectional study

In China, there is a significant lack of awareness of diabetes and its complications. Screening of diabetic retinopathy has important for early detection, prevention, and treatment. This large, cross-sectional study aimed to characterize the demographic, physical, serological, and ocular characteristics of subjects with diabetes mellitus in Shijiazhuang, China. It also aimed to associate these characteristics with the presence of diabetic retinopathy.From May 2, 2018 to August 25, 2019, under diabetes care program, the diabetic patients (n = 1008) were subjected to standardized questionnaires to collect demographical characteristics. Also, telescreens and laboratory tests were performed for the enrolled patients. Multivariate logistic regression analysis was used to evaluate factors associated with diabetic retinopathy.Forty percent of diabetics in its population had some form of diabetic retinopathy. Diabetic retinopathic patients were likely to be elder (P = .0003), men (P = .018), hypertensive (P < .0001), and had high body mass index (P < .0001), metabolic abnormalities, and longer duration of diabetes (P < .0001). Higher intraocular pressure (P = .0008), fasting blood glucose (P < .0001), serum total cholesterol (P < .0001), serum triglyceride (P = .0006), % glycated hemoglobin (HbA1c) (P < .0001), and disc asymmetry including cup-disc ratio (P = .041) reported in patients with diabetic retinopathy. Age (P = .049), male sex (P = .048), hypertension (P = .048), duration of diabetes (P = .012), diabetic neuropathy (P = .048), diabetic nephropathy (P = .048), diabetic foot ulcer (P = .041), foot amputation (P = .042), fasting blood glucose (P = .022), serum total cholesterol (P = .028), serum triglyceride (P = .035), and HbA1c (P = .042) were associated with diabetic retinopathy.Diabetic retinopathy was the most common ocular fundus disease in diabetic patients. Also, aging, the other comorbidities, and metabolic syndrome are associated with diabetic retinopathy.Level of Evidence: III.

The profile of sight-threatening diabetic retinopathy in patients attending a specialist eye clinic in Hangzhou, China

Background/aims

To examine the profile of diabetic retinopathy, awareness and self-help in patients attending a specialist eye clinic in Hangzhou, China.

Methods

A total of 199 consecutive patients with diabetes (mean age = 57 years, SD = 11) attending eye clinic at the School of Medicine, Zhejiang University, Hangzhou were examined in a cross-sectional study. Clinical/demographic data were obtained from patients' records. Fundus photographs obtained from each patient were graded using Early Treatment of Diabetic Retinopathy Study (ETDRS) criteria; severe non-proliferative, proliferative retinopathy and/or macular oedema (hard exudates/thickening around fovea) were classified as sight-threatening diabetic retinopathy (STDR). Optical coherence tomography was used to confirm the diagnosis of macular oedema. Data on knowledge/awareness about diabetes and self-help/lifestyle were collected using a structured questionnaire.

Results

STDR was found in 80% patients of whom 18% had visual acuity of ≤counting fingers in at least one eye. Male gender, longer diabetic duration and use of insulin were significantly associated with STDR (p ≤ 0.05). Of the total, 41% patients reported that they were attending for the first time. Of all the first-time attendees, 67% had STDR. Also of all the first-time attendees, 14% were unclear whether diabetes affected their eyes. Fifty-one per cent of patients who thought their diabetes was well controlled had fasting blood sugar ≥6.5 mmol/L (p < 0.001). Of the total, 65% patients reported not doing ≥4 hours/week of physical exercise.

Conclusions

The majority of patients with diabetes presented to this eye clinic suffered with late-stage retinopathy. Our results advocate the need to improve diabetic diagnosis, management and awareness and to set up eye screening for diabetics in Hangzhou, China.

The Prevalence and Distribution of Vitreoretinal Interface Abnormalities among Urban Community Population in China

The aim of this research was to identify the prevalence and distribution of vitreoretinal interface abnormalities (VIAs) among urban community population in Shenyang, China. According to the WHO criteria, a cross-sectional study was carried out among 304 Type 2 diabetes (T2D) patients and 304 people without diabetes as control over 45 years old. The presence of VIAs was determined by standardized grading of macular optical coherence tomography (Optovue OCT; Optovue, Inc., Fremont, CA) scans and two-field fundus photographs in at least one eye. For both men and women, high prevalence of VIAs (70.79%) was observed among over 65-years-old T2D patients. Prevalence of VIAs was observed to be high among T2D patients in all age groups compared to normal subjects. Prevalence of VIAs increased with age in all subjects. Prevalence of components of VIAs was epiretinal membrane (ERM) 11.43%, posterior vitreous detachment (PVD) 17.76%, vitreomacular traction syndrome (VMT) 5.67%, macular cysts/macular edema (MC/ME) 4.61%, full-thickness macular hole (FTMH) 0.82%, and partial thickness macular hole (PTMH) 0.74% in any eye, respectively. ERM and MC/ME were more prevalent in T2D in both males and females. The results highlight the need for early detection using OCT and approaches for the prevention of VIAs of diabetes in urban community.

Use of the Monocyte-to-Lymphocyte Ratio to Predict Diabetic Retinopathy

Background: Diabetic retinopathy (DR) is a common complication of type 2 diabetes mellitus (T2DM) and the leading cause of blindness in adults. DR pathogenesis has not been fully elucidated, but inflammation is widely accepted to play an important role. Emerging evidence suggests that the platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and neutrophil-to-lymphocyte ratio (NLR) are novel potential markers of inflammatory responses. The present study aimed to evaluate the associations between DR and the PLR, MLR, and NLR. Patients and Methods: We performed a case-control study involving 247 patients with T2DM. The patients were divided into three groups: 125 control subjects with T2DM, 63 diabetic subjects with non-proliferative diabetic retinopathy (NPDR), and 59 patients with proliferative diabetic retinopathy (PDR). Results: The mean PLR and NLR were significantly higher in patients with DR compared with patients without DR (p < 0.01, p = 0.02, respectively). The mean MLR in the NPDR group was higher than that of patients without DR, but there were no significant differences among the three groups (p = 0.07). Logistic regression showed that the MLR was an independent risk factor for DR (odds ratio [OR]: 54.574, 95% confidence interval [CI]: 2.708–1099.907). Based on the receiver operating characteristic (ROC) curve, use of the MLR as an indicator for DR diagnosis was projected to be 2.25, and yielded a sensitivity and specificity of 47.1% and 69.6%, respectively, with an area under the curve of 0.581 (95% CI: 0.510–0.653). Conclusions: The PLR and NLR are significantly increased in the setting of DR. After correcting for possible confounding factors, the MLR was found to be a risk factor for DR. Although the MLR may be pathophysiologically and clinically relevant in DR, its predictive ability was limited.

Incidence Density and Risk Factors of Diabetic Retinopathy Within Type 2 Diabetes: A Five-Year Cohort Study in China (Report 1)

A prospective study was carried out from August 2010 to August 2014 in the community of Fengyutan (China). Six hundred and twenty two T2D subjects were collected. The incidence density of diabetic retinopathy (DR) was 1.81% person-year (95% confidence interval, CI: 1.21–2.43% person-year). After a Cox regression model analysis and adjusted confounding factors, independent predictors related to the incidence of DR including male gender (adjusted hazard ratios, aHR: 1.47, 95% CI: 1.21–1.62), with hypertension (aHR: 1.49, 95%: 1.12–1.73), duration of diabetes > 10 years (aHR: 2.28, 95%: 2.05–2.42), uncontrolled diabetes (aHR: 1.76, 95%: 1.41–2.01), total cholesterol ≥ 200 mg/dL (aHR: 1.54, 95%: 1.34–1.72) and HbA1c ≥ 7% (mmol/mol) (aHR: 2.12, 95%: 1.87–2.32). Duration of T2D revealed the significantly dose-response relationship to the onset of DR. The incidence density of DR in the Chinese community was relatively low in comparison with other studies. More attention should be paid to the T2D patients, especially of male gender, with hypertension, longer duration of diabetes, uncontrolled diabetes, total cholesterol ≥ 200mg/dL and HbA1c ≥ 7% (mmol/mol).