BACKGROUND

Diabetic retinopathy (DR) remains to be the leading cause of blindness worldwide. Traditionally, risk factors such as diabetes duration, HbA1c levels, hypertension and dyslipidemia have been closely linked to the development of this condition. However, recent research suggests that these factors account for only a portion of DR cases. Emerging studies highlight additional potential risk factors including diabetic nephropathy, insulin use, and body mass index -though data on these factors remain limited and at times contradictory. While there have been a few local studies exploring some of these variables, none have comprehensively examined how these factors collectively influence the occurrence and severity of diabetic retinopathy. This study aims to asses both the factors associated with presence and occurrence of diabetic retinopathy.

METHODOLOGY

This analytical cross-sectional study included patients with diabetes (n=201, aged 18 years and older) who underwent fundus photography at The Medical City Ortigas between January 1, 2022, and December 31, 2022. Data collection involved a thorough review of patient records, which provided demographic information and details on potential risk factors. The presence and severity of diabetic retinopathy (DR) were assessed based on fundus photography results, as interpreted by ophthalmologists. To evaluate the statistical significance of the association between risk factors and DR status, logistic regression analysis was done

RESULTS

Duration of diabetes (odds ratio [OR] 1.07; 95% CI, 1.01-1.13 per year increase), HBA1c (OR 1.4; 95% CI, 1.1-1.86),
fasting blood sugar (OR 1.4; 95% CI, 0.977-0.998), hypercholesterolemia (OR 5.02; 95% CI 1.67-16.44) and presence of
nephropathy (OR 3.39; 95% CI 1.49-8) were correlated with diabetic retinopathy.

CONCLUSION

The presence of diabetic retinopathy was significantly associated with several clinical factors. Each additional year of diabetes mellitus duration was associated with a 1.07-fold increase in the likelihood of DR. Additionally, each 1% increase in HbA1c was linked to a 1.40-fold increase in DR risk. The presence of diabetic nephropathy and hypercholesterolemia were also strong predictors, associated with a 3.39-fold and 5-fold increase in the likelihood of DR, respectively. Glycemic control, dyslipidemia and nephropathy appear to be associated with more severe forms of diabetic retinopathy. Clinicians handling diabetes patients with this patient profile should be wary of this diabetes complication.

Human ; Male ; Female ; Adolescent: 13-18 Yrs Old ; Young Adult: 19-24 Yrs Old ; Adult: 25-44 Yrs Old ; Diabetic Retinopathy ; Hospitals ; Risk ; Risk Factors ; Tertiary Care Centers

OBJECTIVES

In Asia, younger individuals (below age 45) are diagnosed to have type 2 diabetes with increased rates of obesity defined by lower BMI yet with greater visceral adiposity (waist circumference and waisthip ratios). The prevalence data on type 1 diabetes is not well established, considered to be low, but is seen to be increasing as well. This changing phenotype therefore, presents a clinical dilemma in terms of correctly classifying diabetes and deciding on the consequent appropriate treatment. Distinguishing type 1 from type 2 diabetes has become more difficult with type 2 diabetes dramatically increasing in young adults and children. This study aims to define the characteristics of diabetes among young adults in the Philippines to provide a basis for appropriate management amidst changes in diabetes phenotypes seen globally.

METHODS

In this cross-sectional analytic study, we characterized the demographic, metabolic, and autoimmune features of diabetes among young adult Filipinos aged 18 to 45 years old consulting at a tertiary referral center in Manila, Philippines. Baseline serum A1c, FBS, 75-g oral glucose tolerance test, insulin, serum C-peptide, insulin autoantibodies, leptin, adiponectin, lipid profile, and thyroid function tests were obtained from the participants and analyzed. The homeostasis model assessment (HOMA) was used to estimate the insulin sensitivity.

RESULTS

A total of 348 patients with diabetes were included, with females comprising two-thirds of the participants. The mean age at diagnosis of diabetes was 35.9±7.22 years. The mean BMI was 28.12 kg/m2, with median waist to hip ratio (WHR) of 0·93. Metabolic syndrome was found in 60% of participants and 67.82% were obese by body mass index. The mean A1c was 9.07±2.52%. Good glucose control (A1c less than 7.0%) was seen in 23% of participants  while nearly half (48%) had HbA1c which was >9.0%. The median levels of fasting insulin and C-peptide were 12.62 (range 1.33–90.42) mIU/L and 0.78 ng/mL (range 0–16.2), respectively. 

Included participants were diagnosed with diabetes within a year and as such, majority did not have any micro- or macrovascular complications. The most common diabetes complication was sensory neuropathy detected by monofilament testing, which was found in 28% of participants, followed by non-proliferative diabetic retinopathy in 13%. A history of previous diabetic ketoacidosis was found in 10 patients (2.87%). Glutamic acid decarboxylase (GAD) and insulin auto-antibodies were found in 3.2% and 19.3% of participants, respectively. Approximately half (51.73%) of the participants were insulin resistant by HOMA-IR.

CONCLUSION

In contrast with Caucasians and other Asians, diabetes among young Filipino adults is associated with lower BMI but with a similarly high visceral adiposity as shown by an elevated WHR. Metabolic syndrome with insulin resistance as defined by a variety of indices is predominant. Type 1 diabetes with autoantibodies occur in only a small fraction of this population. Data derived from this work can provide a framework for cluster analysis towards personalized management specific to this population.

Human ; Acids ; Adiponectin ; Adiposity ; Adult ; Aged ; Antibodies ; Asia ; Asian ; Asian Continental Ancestry Group ; Autoantibodies ; Body Mass Index ; C-peptide ; Carboxy-lyases ; Child ; Cluster Analysis ; Demography ; Diabetes Complications ; Diabetes Mellitus ; Diabetes Mellitus, Type 1 ; Diabetes Mellitus, Type 2 ; Diabetic Ketoacidosis ; Diabetic Retinopathy ; Diagnosis ; Fasting ; Female ; Glucose ; Glucose Tolerance Test ; Glutamate Decarboxylase ; Glutamic Acid ; Insulin ; Insulin Resistance ; Ketosis ; Leptin ; Lipids ; Metabolic Syndrome ; Obesity ; Patients ; Peptides ; Phenotype ; Philippines ; Population ; Prevalence ; Serum ; Therapeutics ; Thyroid Gland ; Thyroid Function Tests ; Young Adult

OBJECTIVE

To evaluate cone- and rod-specific nonperfusion indices (CPI, RPI) on ultrawide field fluorescein angiography (UWF-FA) and their correlation with diabetic retinopathy (DR) severity and center-involving diabetic macular edema (ciDME).

METHODS

Sixty-nine eyes of 43 patients with diabetes underwent UWF color photography (UWF-CP), UWF-FA, and macular optical coherence tomography (OCT). DR severity was graded by a masked reader on UWF-CP. UWFFA images were segmented into posterior pole (≤10 mm from fovea), mid-periphery (10–15 mm) and far periphery (>15 mm), and into the macula, within ETDRS fields and extended peripheral fields. Ischemic areas were quantified using ImageJ to calculate nonperfusion index (NPI), CPI, and RPI. ciDME was determined on OCT. Correlations were analyzed using Pearson coefficients (r).

RESULTS

DR severity correlated significantly with global NPI (r = 0.56, p < 0.0001) and across all retinal zones (r = 0.35– 0.57). Both CPI (global: r = 0.56, p < 0.0001; zones: r = 0.42–0.59) and RPI (global: r = 0.55, p < 0.0001; zones: r = 0.40–0.59) showed similar associations. ciDME presence was also correlated with NPI (global: r = 0.40, p = 0.0014; zones: r = 0.42–0.54), CPI (global: r = 0.47, p = 0.0001; zones: r = 0.32–0.55), and RPI (global: r = 0.46, p = 0.0002; zones: r = 0.33–0.54).

CONCLUSIONS

Cone- and rod-related retinal nonperfusion strongly correlate with DR severity and ciDME. UWF-FA may help identify high-risk eyes and guide surveillance of ischemia-related progression. Further studies are needed to define ischemic thresholds predictive of vision-threatening complications.

Human ; Diabetic Retinopathy ; Photoreceptor Cells, Vertebrate ; Rods And Cones ; Fluorescein Angiography ; Macular Edema ; Retinaldehyde

Introduction: Diabetic retinopathy (DRP) is the most common microvascular complication of diabetes, affecting approximately 30% of patients with type 2 diabetes and over half of those with type 1 diabetes. It remains a leading cause of preventable blindness among adults worldwide. Early stages are frequently asymptomatic, making regular diabetic eye screening essential to detect sight-threatening changes before irreversible vision loss occurs. In Malaysia, where diabetes prevalence has reached 15.6% among adults (NHMS 2023), the effective implementation of annual retinal screening is crucial. Malaysian National Clinical Practice Guidelines recommend an annual retinal screening among type 2 diabetes mellitus (T2DM) patients. This clinical audit evaluated adherence to DRP screening. Methodology: A retrospective clinical audit was conducted at Pusat Perubatan Angkatan Tentera (PPAT), Kem Sungai Besi, to evaluate compliance with national DR screening standards among adults with T2DM. Thirty eligible patient records were reviewed. Three key indicators were assessed: (1) documentation of visual acuity at diagnosis, (2) annual fundoscopy, and (3) referral for fundus photography within the preceding 12 months. Performance was benchmarked against the 80% standard. Data were analyzed descriptively. Results: The median age group was 55–59 years, with equal gender distribution. Screening adherence was substantially below target: visual acuity assessment at diagnosis, 23.3%; annual fundoscopy, 26.7%; and fundus imaging referral, 36.7%. All screening indicators were below the recommended standard. Conclusion This audit reveals a significant implementation gap between national guidelines and routine practice. Structured workflow integration and documentation reinforcement strategies need to be emphasized. Additional measures include strengthening patient education and reinforcing guideline-based practice through regular CME sessions. However, a re-audit has not yet been conducted at the time of clinical audit reporting. An ongoing evaluation will be essential to determine the effectiveness and sustainability of these interventions in reducing preventable diabetic vision loss at PPAT Sungai Besi.
Humans ; iabetes Mellitus, Type 2 ; Diabetic Retinopathy ; Clinical Audit

BACKGROUND : Diabetic retinopathy (DR) is a leading cause of preventable blindness. However, Indonesia lacks a comprehensive screening program. Artificial intelligence (AI)-assisted screening in primary health care (PHC) is a promising solution. Patient satisfaction is crucial for ensuring the participation and sustainability of such programs. This study aimed to adapt Indonesian version of evaluate client satisfaction questionnaire-18 (CSQ-18) and evaluate its acceptability. METHODS : This study was conducted from August 5–29, 2024 at 2 public PHCs in Jakarta. Patients with diabetes underwent DR screening, which included fundus photography and an AI-based grading system (RADR). Referable cases were graded secondarily by ophthalmologists. Satisfaction was assessed from November 10–20, 2024 using the Indonesian-translated CSQ-18, adapted through forward-backward translation, expert review, and pilot testing. Reliability was assessed using Cronbach’s alpha, validity was evaluated using Pearson’s correlation, and satisfaction scores were summarized as descriptive statistics. RESULTS : Of 300 selected participants, 216 completed telephone or in-person interviews. The Indonesian CSQ-18 demonstrated a strong internal consistency (Cronbach’s alpha = 0.886). All items showed acceptable item-total correlations. The mean (SD) satisfaction score was 60.19 (5.50) of 72, with a median of 59, indicating high patient satisfaction. Most participants expressed positive perceptions of screening duration, accessibility, and provider competence, although awareness-related items scored slightly lower. Potential interviewer bias and nonresponse may have affected the findings. CONCLUSIONS The Indonesian CSQ-18 is a reliable tool for assessing patient satisfaction with DR screening. These findings confirm the feasibility and acceptability of AI-assisted DR screening at the PHC level, supporting its potential for broader implementation in Indonesia.
artificial intelligence ; diabetic retinopathy ; patient satisfaction ; primary health care ; surveys and questionnaires

OBJECTIVE

To compare the frequency and severity of color vision defects between diabetes mellitus (DM) patients without retinopathy and those with mild non-proliferative diabetic retinopathy (NPDR), and to evaluate the relationship between these color vision defects and capillary blood glucose (CBG) levels.

METHODS

This was a cross-sectional, hospital-based study conducted over a seven-month period at the Ophthalmology Outpatient Department of Cardinal Santos Medical Center. Thirty-five (35) DM patients (70 eyes) aged 50 to 75 years with best-corrected visual acuity of ≥20/50 and no more than mild NPDR were included. Patients with moderate or severe NPDR, macular edema, optic nerve pathology, or significant cataracts were excluded. All participants underwent visual acuity testing, fundus examination, and color vision assessment using the Ishihara pseudoisochromatic plates and Farnsworth D-15 tests conducted under standardized lighting conditions. CBG was measured using the finger-prick method. Main outcome measures included the proportion and type of color vision defects, their association with DR classification, and CBG levels. Statistical analyses included descriptive statistics, the Fisher exact test, the Mann-Whitney U test for the Farnsworth D-15 Color Confusion Index (CCI), and Spearman correlation between CBG and CCI.

RESULTS

Tritan-type defects were the most common, accounting for 36.2%. Color vision defects were observed in 91.3% (64 eyes) of patients with no DR, while defects were seen in all eyes (100%) with mild NPDR (5 eyes). However, this difference was not statistically significant (p = 1.000). There was no significant correlation between CBG levels and color vision scores. Mean CCI scores were similar between groups (p = 0.394), indicating no substantial difference in defect severity.

CONCLUSIONS

Color vision defects may be more prevalent in early NPDR compared to no DR, but this difference was not significant in this sample. No correlation was found between CBG levels and color vision performance. Color vision testing may serve as a useful adjunctive screening tool for early diabetic retinal changes; however, further studies with larger sample sizes are necessary.

Human ; Color Vision Defects ; Diabetic Retinopathy

This case study describes Mrs. CS, a 57-year-old grandmother with a 3-year history of Type 2 Diabetes Mellitus (T2DM), who came from a diabetic family and presented with blurry vision and fatigue. She was also diagnosed as hypertensive last year. She reported discontinuing all prescribed medications for five months, relying instead on decoctions of the Philippine serpentina plant (Andrographis paniculata) and the insulin plant (Chamaecostus cuspidatus) for blood pressure and glycemic control due to budget constraints. An HbA1c test revealed hyperglycemia (7.5%). This case highlights the critical public health challenge of medication non-adherence in T2DM patients, particularly those influenced by traditional herbal remedies. It emphasizes the significant risks of relying on unproven therapies, the resulting poor glycemic control, and the potential for severe microvascular complications like diabetic retinopathy. The report emphasizes the urgent need for comprehensive patient and family education regarding evidence-based T2DM management, the dangers of unsupervised medication cessation, and the importance of professional medical consultation to integrate any complementary therapies safely.

Human ; Female ; Middle Aged: 45-64 Yrs Old ; Diabetes Mellitus, Type 2 ; Andrographis Paniculata ; Diabetic Retinopathy

This paper summarizes Professor SUN Yuanzheng's academic thought and clinical experience in treating diabetic retinopathy (DR) with yuan-primary and luo-connecting meridian-regulating acupuncture. Professor SUN considers that the fundamental cause of DR lies in visceral dysfunction, with stagnation in the ocular collateral vessels and impairment of the mysterious orifices being the core pathogenesis. He proposes the treatment model of "regulating viscera, unblocking ocular collaterals, and opening mysterious orifices" based on yuan-primary and luo-connecting meridian-regulating acupuncture. Yuan-primary and luo-connecting points are used to balance qi, blood, yin, and yang of the viscera. Baihui (GV20) is stimulated with transcranial repetitive acupuncture to activate the yang qi of the governor vessel and invigorate qi in the twelve meridians, improving systemic microcirculation. Combining this with stimulation of ocular areas, Fengchi (GB20), and periocular points, the stasis in the ocular collaterals are cleared and the mysterious orifices are unblocked, addressing both the root and manifestations of DR.
Humans ; Diabetic Retinopathy/physiopathology* ; Acupuncture Therapy/history* ; Meridians ; Acupuncture Points ; Qi

Ginsenoside Rg_2(GRg2) is a triterpenoid compound found in Panax notoginseng. This study explored its effects and mechanisms on diabetic retinopathy and angiogenesis. The study employed endothelial cell models induced by glucose or vascular endothelial growth factor(VEGF), the chorioallantoic membrane(CAM) model, the oxygen-induced retinopathy(OIR) mouse model, and the db/db mouse model to evaluate the therapeutic effects of GRg2 on diabetic retinopathy and angiogenesis. Transwell assays and endothelial tube formation experiments were conducted to assess cell migration and tube formation, while vascular area measurements were applied to detect angiogenesis. The impact of GRg2 on the retinal structure and function of db/db mice was evaluated through retinal thickness and electroretinogram(ERG) analyses. The study investigated the mechanisms of GRg2 by analyzing the activation of Yes-associated protein(YAP) and Toll-like receptors(TLRs) pathways. The results indicated that GRg2 significantly reduced cell migration numbers and tube formation lengths in vitro. In the CAM model, GRg2 exhibited a dose-dependent decrease in the vascular area ratio. In the OIR model, GRg2 notably decreased the avascular and neovascular areas, ameliorating retinal structural disarray. In the db/db mouse model, GRg2 increased the total retinal thickness and enhanced the amplitudes of the a-wave, b-wave, and oscillatory potentials(OPs) in the ERG, improving retinal structural disarray. Transcriptomic analysis revealed that the TLR signaling pathway was significantly down-regulated following YAP knockdown, with PCR results consistent with the transcriptome sequencing findings. Concurrently, GRg2 downregulated the expression of Toll-like receptor 4(TLR4), TNF receptor-associated factor 6(TRAF6), and nuclear factor-kappaB(NF-κB) proteins in high-glucose-induced endothelial cells. Collectively, GRg2 inhibits cell migration and tube formation and significantly reduces angiogenesis in CAM and OIR models, improving retinal structure and function in db/db mice, with its pharmacological mechanism likely involving the down-regulation of YAP expression.
Animals ; Ginsenosides/pharmacology* ; Diabetic Retinopathy/physiopathology* ; Mice ; YAP-Signaling Proteins ; Humans ; Male ; Signal Transduction/drug effects* ; Cell Movement/drug effects* ; Adaptor Proteins, Signal Transducing/genetics* ; Mice, Inbred C57BL ; Neovascularization, Pathologic/metabolism* ; Drugs, Chinese Herbal/administration & dosage* ; Panax notoginseng/chemistry* ; Endothelial Cells/metabolism* ; Transcription Factors/genetics* ; Angiogenesis

Diabetic retinopathy is a common blinding complication in diabetic patients. Compared with conventional fundus color photography, fundus fluorescein angiography can dynamically display retinal vessel permeability changes, offering unique advantages in detecting early small lesions such as microaneurysms. However, existing intelligent diagnostic research on diabetic retinopathy images primarily focuses on fundus color photography, with relatively insufficient research on complex lesion recognition in fluorescein angiography images. This study proposed an adaptive multi-label classification model (D-LAM) to improve the recognition accuracy of small lesions by constructing a category-adaptive mapping module, a label-specific decoding module, and an innovative loss function. Experimental results on a self-built dataset demonstrated that the model achieved a mean average precision of 96.27%, a category F1-score of 91.21%, and an overall F1-score of 94.58%, with particularly outstanding performance in recognizing small lesions such as microaneurysms (AP = 1.00), significantly outperforming existing methods. The research provides reliable technical support for clinical diagnosis of diabetic retinopathy based on fluorescein angiography.
Diabetic Retinopathy/diagnostic imaging* ; Humans ; Fluorescein Angiography ; Microaneurysm/diagnostic imaging* ; Retinal Vessels ; Algorithms