Prevalence and associated factors of diabetic retinopathy among type 2 diabetes mellitus patients in Brunei Darussalam - A cross-sectional study

Extending the diabetic retinopathy screening intervals in Singapore: methodology and preliminary findings of a cohort study

BACKGROUND

The Diabetic Retinopathy Extended Screening Study (DRESS) aims to develop and validate a new DR/diabetic macular edema (DME) risk stratification model in patients with Type 2 diabetes (DM) to identify low-risk groups who can be safely assigned to biennial or triennial screening intervals. We describe the study methodology, participants' baseline characteristics, and preliminary DR progression rates at the first annual follow-up.

METHODS

DRESS is a 3-year ongoing longitudinal study of patients with T2DM and no or mild non-proliferative DR (NPDR, non-referable) who underwent teleophthalmic screening under the Singapore integrated Diabetic Retinopathy Programme (SiDRP) at four SingHealth Polyclinics. Patients with referable DR/DME (> mild NPDR) or ungradable fundus images were excluded. Sociodemographic, lifestyle, medical and clinical information was obtained from medical records and interviewer-administered questionnaires at baseline. These data are extracted from medical records at 12, 24 and 36 months post-enrollment. Baseline descriptive characteristics stratified by DR severity at baseline and rates of progression to referable DR at 12-month follow-up were calculated.

RESULTS

Of 5,840 eligible patients, 78.3% (n = 4,570, median [interquartile range [IQR] age 61.0 [55-67] years; 54.7% male; 68.0% Chinese) completed the baseline assessment. At baseline, 97.4% and 2.6% had none and mild NPDR (worse eye), respectively. Most participants had hypertension (79.2%) and dyslipidemia (92.8%); and almost half were obese (43.4%, BMI ≥ 27.5 kg/m2). Participants without DR (vs mild DR) reported shorter DM duration, and had lower haemoglobin A1c, triglycerides and urine albumin/creatinine ratio (all p < 0.05). To date, we have extracted 41.8% (n = 1909) of the 12-month follow-up data. Of these, 99.7% (n = 1,904) did not progress to referable DR. Those who progressed to referable DR status (0.3%) had no DR at baseline.

CONCLUSIONS

In our prospective study of patients with T2DM and non-referable DR attending polyclinics, we found extremely low annual DR progression rates. These preliminary results suggest that extending screening intervals beyond 12 months may be viable and safe for most participants, although our 3-year follow up data are needed to substantiate this claim and develop the risk stratification model to identify low-risk patients with T2DM who can be assigned biennial or triennial screening intervals.

Sight-threatening diabetic retinopathy and its predictors among patients with diabetes visiting Adare General Hospital in Southern Ethiopia: a hospital-based cross-sectional study

OBJECTIVE

The study aimed to determine the prevalence of sight-threatening diabetic retinopathy and its predictors among patients with diabetes attending Adare General Hospital in Southern Ethiopia.

DESIGN

A hospital-based cross-sectional study was conducted using a systematic random sampling method.

SETTING

The study was conducted at the diabetic clinic of Adare General Hospital in Sidama region, Southern Ethiopia.

PARTICIPANTS

The study included 391 patients with diabetes aged ≥18 years who had attended the diabetic clinic of Adare General Hospital in Southern Ethiopia.

MAIN OUTCOME MEASURES

Data were collected using questionnaires completed by an interviewer, a review of medical records and eye examinations.

RESULT

The study included 391 patients with diabetes with a median age of 49 years. The prevalence of sight-threatening diabetic retinopathy was 10.7% (95% CI: 7.7% to 14%). Rural dwellers (adjusted OR (AOR)=2.17, 95% CI: 1.05 to 4.46), duration of diabetes ≥6 years (AOR=2.43, 95% CI: 1.06 to 5.57), poor glycaemic control (AOR=2.80, 95% CI: 1.03 to 7.64), low physical activity (AOR=2.85, 95% CI: 1.01 to 8.05), hypertension (AOR=3.25, 95% CI: 1.48 to 7.15) and diabetic peripheral neuropathy (AOR=3.32, 95% CI: 1.18 to 9.33) were significantly associated with sight-threatening diabetic retinopathy.

CONCLUSION

This study showed a high prevalence of sight-threatening diabetic retinopathy. Sight-threatening diabetic retinopathy was significantly associated with modified factors such as glycaemic control, hypertension, physical activity and diabetic peripheral neuropathy. Therefore, all patients with diabetes were recommended to maintain normal blood glucose, avoid hypertension, exercise regularly and have regular eye examinations.

Predicting the risk of diabetic retinopathy using explainable machine learning algorithms

BACKGROUND AND OBJECTIVE

Diabetic retinopathy (DR) is a global health concern among diabetic patients. The objective of this study was to propose an explainable machine learning (ML)-based system for predicting the risk of DR.

MATERIALS AND METHODS

This study utilized publicly available cross-sectional data in a Chinese cohort of 6374 respondents. We employed boruta and least absolute shrinkage and selection operator (LASSO) based feature selection methods to identify the common predictors of DR. Using the identified predictors, we trained and optimized four widly applicable models (artificial neural network, support vector machine, random forest, and extreme gradient boosting (XGBoost) to predict patients with DR. Moreover, shapely additive explanation (SHAP) was adopted to show the contribution of each predictor of DR in the prediction.

RESULTS

Combining Boruta and LASSO method revealed that community, TCTG, HDLC, BUN, FPG, HbAlc, weight, and duration were the most important predictors of DR. The XGBoost-based model outperformed the other models, with an accuracy of 90.01%, precision of 91.80%, recall of 97.91%, F1 score of 94.86%, and AUC of 0.850. Moreover, SHAP method showed that HbA1c, community, FPG, TCTG, duration, and UA1b were the influencing predictors of DR.

CONCLUSION

The proposed integrating system will be helpful as a tool for selecting significant predictors, which can predict patients who are at high risk of DR at an early stage in China.

The inverse association between DNA gaps and HbA1c levels in type 2 diabetes mellitus

Naturally occurring DNA gaps have been observed in eukaryotic DNA, including DNA in nondividing cells. These DNA gaps are found less frequently in chronologically aging yeast, chemically induced senescence cells, naturally aged rats, D-galactose-induced aging model rats, and older people. These gaps function to protect DNA from damage, so we named them youth-associated genomic stabilization DNA gaps (youth-DNA-gaps). Type 2 diabetes mellitus (type 2 DM) is characterized by an early aging phenotype. Here, we explored the correlation between youth-DNA-gaps and the severity of type 2 DM. Here, we investigated youth-DNA-gaps in white blood cells from normal controls, pre-DM, and type 2 DM patients. We found significantly decreased youth-DNA-gap numbers in the type 2 DM patients compared to normal controls (P = 0.0377, P = 0.0018 adjusted age). In the type 2 DM group, youth-DNA-gaps correlate directly with HbA1c levels. (r = - 0.3027, P = 0.0023). Decreased youth-DNA-gap numbers were observed in patients with type 2 DM and associated with increased HbA1c levels. Therefore, the decrease in youth-DNA-gaps is associated with the molecular pathogenesis of high blood glucose levels. Furthermore, youth-DNA-gap number is another marker that could be used to determine the severity of type 2 DM.

Decreased Alu methylation in type 2 diabetes mellitus patients increases HbA1c levels

INTRODUCTION

Alu hypomethylation is a common epigenetic process that promotes genomic instability with aging phenotypes, which leads to type 2 diabetes mellitus (type 2 DM). Previously, our results showed significantly decreased Alu methylation levels in type 2 DM patients. In this study, we aimed to investigate the longitudinal changes in Alu methylation levels in these patients.

RESULTS

We observed significantly decreased Alu methylation levels in type 2 DM patients compared with normal (p = 0.0462). Moreover, our findings demonstrated changes in Alu hypomethylation over a follow-up period within the same individuals (p < 0.0001). A reduction in Alu methylation was found in patients with increasing HbA1c levels (p = 0.0013) and directly correlated with increased HbA1c levels in type 2 DM patients (r = -0.2273, p = 0.0387).

CONCLUSIONS

Alu methylation in type 2 DM patients progressively decreases with increasing HbA1c levels. This observation suggests a potential association between Alu hypomethylation and the underlying molecular mechanisms of elevated blood glucose. Furthermore, monitoring Alu methylation levels may serve as a valuable biomarker for assessing the clinical outcomes of type 2 DM.

Importance of Early Spotting of Diabetic Retinopathy in Type 2 Diabetes Patients by Family Medicine Physicians and Ophthalmologists: A Study in Jordan

BACKGROUND

Diabetes mellitus is a long-standing progressive disorder. Diabetic retinopathy is the primary cause of blindness among adults suffering from diabetes. Diabetic retinopathy is found to be dependent on the length of the period affected by diabetes, glucose control, blood pressure, and lipid profile while age, sex, and type of medical therapy were not found to be risk factors.  Aim: This study attempts to determine the importance of early spotting of diabetic retinopathy in Jordanian type 2 diabetes mellitus (T2DM) subjects by family medicine and ophthalmologist physicians, which will help us achieve better health outcomes.  Methods: Our retrospective investigation recruited 950 working-age subjects, of both sexes and with T2DM at three hospitals in Jordan, from September 2019 to June 2022. Early spotting of diabetic retinopathy was done by family medicine physicians and confirmation was done by ophthalmologists using direct ophthalmoscopy. Evaluation of the fundus by pupillary dilation was performed to assess the degree of diabetic retinopathy, macular edema, and the number of patients with diabetic retinopathy. The level of severity for diabetic retinopathy at confirmation was done using the classification for diabetic retinopathy produced by the American Association of Ophthalmology (AAO). Continuous parameters and independent t-tests were used to assess the average discrepancy in the degree of retinopathy among subjects. Categorical parameters were mentioned in numbers and percentages and chi-square tests were done to determine discrepancies in proportion among patients.   Results: Early spotting of diabetic retinopathy was recorded by family medicine physicians in 150 (15.8%) of 950 patients with T2DM of whom 56.7% (85/150) were women with an average age of 44 years. Of these 150 subjects with T2DM, who were presumed to have diabetic retinopathy, ophthalmologists diagnosed diabetic retinopathy in 35 patients (35/150; 23.3%). Of these, 33 (94.3%) had non-proliferative diabetic retinopathy and two (5.7%) had proliferative diabetic retinopathy. Of the 33 patients with non-proliferative diabetic retinopathy, 10 had mild non-proliferative diabetic retinopathy, 17 had moderate non-proliferative diabetic retinopathy, and six had severe non-proliferative diabetic retinopathy. Subjects aged more than 28 years had a 2.5 times increased risk of experiencing diabetic retinopathy. Awareness and lack of awareness values differed significantly (316 (33.3%), 634 (66.7%); P<0.05, respectively).  Conclusions: Early spotting of diabetic retinopathy by family medicine physicians shortens the delay of diagnosis confirmation by ophthalmologists.