1.Diagnostic accuracy of point-of-care Medios™ artificial intelligence aided fundus photography in detecting diabetic retinopathy among Filipino patients with type 2 diabetes mellitus
Maria Nikki C. Cruz ; Oliver Allan C. Dampil ; Precious Gennelyn Gean C. Untalan ; Niccolo D. Agustin ; Peter Mark G. Chao
Philippine Journal of Internal Medicine 2025;63(1):7-15
OBJECTIVE
To assess the diagnostic accuracy of point-of-care screening using Medios™ Artificial Intelligence (AI) in the diagnosis of diabetic retinopathy (DR).
METHODSThis is a multi-center, cross-sectional, instrument validation study among adult Filipinos with Type 2 diabetes seen at Endocrine specialty clinics from May to November 2021. Retinal images were captured by a minimally trained nurse using the Remedio Fundus on Phone (FOP). Images were interpreted separately by the Medios™ AI and three retina specialists. The primary outcome measure is the accuracy of Medios™™ AI in diagnosing DR compared to retina specialists’ findings using sensitivity and specificity, predictive values, and likelihood ratios.
RESULTSA total of 182 subjects with Type 2 diabetes were included in the study. The sensitivity and specificity of the Medios™ AI in diagnosing any DR were 73.68% (95%CI, 57.99-85.03) and 83.74% (95%CI, 79.35-87.35), respectively, compared with the retinal specialists’ findings using the same images. The positive and negative predictive values were 34.57% (95%CI, 25.12-45.41) and 96.47% (95%CI, 93.62-98.07). The positive and negative likelihood ratios were 4.53 (95%CI, 4.26 4.82) and 0.31 (95%CI, 0.26-0.38). The overall diagnostic accuracy of Medios™ AI in detecting DR was 82.69% (95%CI, 78.47-86.23).
CONCLUSIONThe Medios™ AI system showed acceptable diagnostic accuracy when used as a point-of-care screening tool in detecting DR among patients with Type 2 diabetes seen at Endocrine specialty clinics. This technology can be a useful screening tool for endocrinologists as it is relatively inexpensive, safe, and easily performed. It can also shorten the lead time from screening to referral and intervention.
Human ; Diabetes Mellitus ; Diabetic Retinopathy
2.Comparative efficacy of smartphone imaging with 3D-printed adaptor versus fundus camera for diabetic retinopathy screening
Charlene V. Tablante ; Eleonore B. Iguban
Philippine Journal of Ophthalmology 2024;49(2):122-129
OBJECTIVE
To determine if dilated smartphone photography with a 3D-printed adaptor for a fundus lens can be an alternative screening tool for diabetic retinopathy.
METHODSThis was a single-center, prospective, comparative study of 102 eyes of patients with diabetes mellitus. DR screening was performed using binocular indirect ophthalmoscopy (BIO) as the reference standard, alongside two imaging modalities: a traditional fundus camera and a smartphone equipped with a 3D-printed adaptor. Coded images were evaluated by three masked retina specialists. Sensitivity, specificity, predictive values, and likelihood ratios were calculated for both imaging modalities.
RESULTSDR gradings of both imaging modalities were compared to BIO and showed very good agreement (κ 0.94-0.96 95% CI 0.93-0.99). Both have high levels of interobserver reliability (kappa value 0.88-0.92 95% CI 0.84-0.96) and intraobserver reliability (kappa value 0.85-1.00 95% CI 0.64-1.00). Smartphone and Visucam 500 images can detect presence of DR with a sensitivity of 93.9% (95% CI 83.1-98.7) and 91.8% (95% CI 80.4- 97.7); and a specificity of 90.6% (95% CI 79.3-96.9) and 92.5% (95% CI 81.8-97.9), respectively, as well as the presence of vision threatening DR with a sensitivity of 100% (95% CI 91.2-100) and specificity of 85.5% (95% CI 74.2-93.1). Image quality was similar between the two imaging modalities (P=1.00).
CONCLUSIONSmartphone-based imaging with an attached 3D-printed adaptor offers high sensitivity and reliability comparable to a traditional fundus camera, and can be used an alternative for DR screening.
Diabetic Retinopathy
3.Malondialdehyde levels in diabetic retinopathy patients: a systematic review and meta-analysis.
Fanwen JIANG ; Lin ZHOU ; Chun ZHANG ; Hui JIANG ; Zhuping XU
Chinese Medical Journal 2023;136(11):1311-1321
BACKGROUND:
It remains unclear whether circulating malondialdehyde (MDA) levels change in people with diabetic retinopathy (DR). This systematic review compared circulating MDA levels in diabetic people with and without DR.
METHODS:
PubMed, Medline (Ovid), Embase (Ovid), and Web of Science were searched for case-control studies conducted before May 2022 in English that compared circulating MDA levels in people with and without DR. The following MeSH search terms were used: ("malondialdehyde" or "thiobarbituric acid reactive substances [TBARS]" or "lipid peroxidation" or "oxidative stress") and "diabetic retinopathy." Newcastle-Ottawa Quality Assessment Scale was used to evaluate the quality of the included studies. Random-effects pairwise meta-analysis pooled the effect size with standardized mean difference (SMD) and 95% confidence intervals (CIs).
RESULTS:
This meta-analysis included 29 case-control studies with 1680 people with DR and 1799 people with diabetes but not DR. Compared to people without DR, the circulating MDA levels were higher in those with DR (SMD, 0.897; 95% CI, 0.631 to 1.162; P < 0.001). The study did not identify credible subgroup effects or publication bias and the sensitivity analysis confirmed the robustness of the study.
CONCLUSIONS:
Circulating MDA levels are higher in people with DR compared to those without. Future comparative studies that use more specific methods are required to draw firm conclusions.
REGISTRATION
PROSPERO; https://www.crd.york.ac.uk/PROSPERO/ ; No. CRD42022352640.
Humans
;
Diabetic Retinopathy
;
Malondialdehyde
;
Oxidative Stress
;
Case-Control Studies
;
Diabetes Mellitus
4.Methylene blue reduces IL-1β levels by enhancing ERK1/2 and AKT phosphorylation to improve diabetic retinopathy in rats.
Huade MAI ; Shenhong GU ; Biwei FU ; Xinbo JI ; Minghui CHEN ; Juming CHEN ; Yunbo ZHANG ; Yunyun LIN ; Chenghong LIU ; Yanling SONG
Chinese Journal of Cellular and Molecular Immunology 2023;39(5):423-428
Objective To investigate the neuroprotective effect of methylene blue on diabetic retinopathy in rats. Methods Thirty SD rats were randomly divided into blank, control and experimental groups. The control and experimental groups were induced with diabetes by streptozotocin (STZ) intraperitoneal injection. After 6 weeks of successful modeling, the experimental group received intravitreal injection of methylene blue at a dose of [0.2 mg/(kg.d)], while the control group received an equal amount of dimethyl sulfoxide (DMSO) intravitreal injection, both continuously injected for 7 days. ELISA was used to detect the levels of retinal superoxide dismutase (SOD), 8-iso-prostaglandin F2alpha (iPF2α) and interleukin-1β (IL-1β) in rats. Western blot analysis was used to detect the expression of retinal extracellular signal-regulated kinase 1/2 phosphorylation (p-ERK1/2) and phosphorylated protein kinase B (p-AKT), and PAS staining was used to detect retinal morphological changes. Results Compared with the blank group rats, the retinal SOD activity in the control and experimental group rats was significantly reduced. iPF2α, IL-1β and p-ERK1/2 level increased, while p-AKT level decreased. Compared with the control group, the SOD activity of the experimental group rats increased. iPF2α and IL-1β level went down, while p-ERK1/2 and p-AKT level went up significantly. The overall thickness of the retinal layer and the number of retinal ganglion cells were significantly reduced. Conclusion Methylene blue improves diabetic retinopathy in rats by reducing retinal oxidative stress and enhancing ERK1/2 and AKT phosphorylation.
Rats
;
Animals
;
Diabetic Retinopathy/metabolism*
;
Proto-Oncogene Proteins c-akt/metabolism*
;
Mitogen-Activated Protein Kinase 3/metabolism*
;
Interleukin-1beta/metabolism*
;
Methylene Blue/pharmacology*
;
Phosphorylation
;
Rats, Sprague-Dawley
;
MAP Kinase Signaling System
;
Diabetes Mellitus, Experimental/drug therapy*
;
Superoxide Dismutase/metabolism*
6.Telemedicine screening of the prevalence of diabetic retinopathy among type 2 diabetic Filipinos in the community.
Jessica DAZA ; Jocelyn SY ; Maria Victoria RONDARIS ; John Philip UY
Journal of Medicine University of Santo Tomas 2022;6(2):814-823
Purpose:
To determine the feasibility of telemedicine screening for diabetic retinopathy in a community setting and to determine the prevalence of diabetic retinopathy among Filipino patients with type 2 diabetes in the community.
Study Design:
Cross-sectional study among patients with type 2 diabetes in six community health centers in an urban city in the Philippines.
Materials and methods:
Subjects were examined from November 2018 to December 2018. A three-field non-mydriatic 45’ fundus photographs were taken for each patient and photographs were uploaded in cloud storage and read by a retina specialist in a tertiary hospital for assessment of diabetic retinopathy and grading of the fundus photographs. The results were sent back to local health centers.
Results:
A total of 387 eyes of 195 persons were examined. Overall, 288 out of 387 eyes (95.36%) had gradable quality fundus photo (grade 3 and higher) and did not need eye dilation. Prevalence of diabetic retinopathy among the respondents was 25.26% - 3.16% had mild diabetic retinopathy, 15.79% had moderate diabetic retinopathy, 3.68% had severe diabetic retinopathy, and 3.68% had proliferative diabetic retinopathy. Other fundus findings noted include hypertensive retinopathy glaucomatous optic nerve, age-related macular degeneration, posterior vitreous detachment, clinically significant macular edema, and epiretinal membrane.
Conclusion
Due to the significant number of patients with diabetic retinopathy among type 2 diabetics in the community, telemedicine screening was a feasible alternative to dilated fundus examination and may be considered as part of the local health program to prevent blindness due to diabetes.
Diabetes Mellitus, Type 2|diabetic Retinopathy|telemedicine
7.Analysis of community intervention effects for diabetic eye diseases in Shanghai Xinjing community from 2016 to 2018.
Xiao Bo HUANG ; Pei ZHANG ; Sen Lin LIN ; Yi XU ; Li Na LU ; Hai Dong ZOU
Chinese Journal of Preventive Medicine 2022;56(1):44-48
Objective: To analyze the effects of community-based interventions for diabetic eye diseases in Xinjing community, Shanghai from 2016 to 2018. Methods: Based on the project of "Establishment of Service Model for Comprehensive Prevention and Treatment of Diabetic Eye Diseases in Shanghai", the participants were not suffering diabetic retinopathy (DR) in Xinjing community in 2016 before interventions and received community-based interventions for diabetic eye diseases. The incidence of DR, visual acuity and awareness of DR were used as evaluation indicators to analyze the effects of interventions for diabetic eye diseases in the community. Results: A total of 537 patients were included in this study, the incidence of DR among diabetic patients in Xinjing community was 7.6% after interventions. The duration of diabetes (OR= 1.065) and HbA1c (OR= 1.090) were the risk factors of DR. Before and after the interventions, the patients with monocular low vision and binocular low vision were 27 cases (5.0%), 8 cases (1.5%), 19 cases (3.5%) and 7 cases (1.3%) respectively. After interventions, the awareness on the prevention and treatment of DR increased significantly, and the proportion of regular visits to ophthalmology examination, diet control and physical exercise also increased significantly. Conclusion: Community-based interventions for diabetic eye diseases are helpful to improve the awareness of DR prevention and control, reduce the incidence of DR.
China/epidemiology*
;
Cross-Sectional Studies
;
Diabetes Mellitus
;
Diabetic Retinopathy/prevention & control*
;
Exercise
;
Humans
;
Risk Factors
8.Protective effect of ginsenoside Rg_1 aganist diabetic retinopathy by inhibiting NLRP3 inflammasome in type 2 diabetic mice.
Bin LI ; Da-Chuan ZHANG ; Xue-Wang LI ; Xia-Nan DONG ; Wei-Ping LI ; Wei-Zu LI
China Journal of Chinese Materia Medica 2022;47(2):476-483
Ginsenoside Rg_1, one of the main active components of precious traditional Chinese medicine Ginseng Radix et Rhizoma, has the anti-oxidative stress, anti-inflammation, anti-aging, neuroprotection, and other pharmacological effects. Diabetic retinopathy(DR), the most common complication of diabetes, is also the main cause of impaired vision and blindness in the middle-aged and the elderly. The latest research shows that ginsenoside Rg_1 can protect patients against DR, but the protection and the mechanism are rarely studied. This study mainly explored the protective effect of ginsenoside Rg_1 against DR in type 2 diabetic mice and the mechanism. High fat diet(HFD) and streptozotocin(STZ) were used to induce type 2 diabetes in mice, and hematoxylin-eosin(HE) staining was employed to observe pathological changes in the retina of mice. The immunohistochemistry was applied to study the localization and expression of nucleotide-binding oligomerization domain-like receptors 3(NLRP3) and vascular endothelial growth factor(VEGF) in retina, and Western blot was used to detect the expression of nuclear factor-kappa B(NF-κB), p-NF-κB, NLRP3, caspase-1, interleukin-1β(IL-1β), transient receptor potential channel protein 6(TRPC6), nuclear factor of activated T-cell 2(NFAT2), and VEGF in retina. The results showed that ginsenoside Rg_1 significantly alleviated the pathological injury of retina in type 2 diabetic mice. Immunohistochemistry results demonstrated that ginsenoside Rg_1 significantly decreased the expression of NLRP3 and VEGF in retinal ganglion cells, middle plexiform layer, and outer plexiform layer in type 2 diabetic mice. According to the Western blot results, ginsenoside Rg_1 significantly lowered the expression of p-NF-κB, NLRP3, caspase-1, IL-1β, TRPC6, NFAT2, and VEGF in retina of type 2 diabetic mice. These findings suggest that ginsenoside Rg_1 can significantly alleviate DR in type 2 diabetic mice, which may be related to inhibition of NLRP3 inflammasome and VEGF. This study provides experimental evidence for the clinical application of ginsenoside Rg_1 in the treatment of DR.
Aged
;
Animals
;
Diabetes Mellitus, Experimental/metabolism*
;
Diabetes Mellitus, Type 2/genetics*
;
Diabetic Retinopathy/genetics*
;
Ginsenosides/pharmacology*
;
Humans
;
Inflammasomes/metabolism*
;
Mice
;
Middle Aged
;
NF-kappa B/metabolism*
;
NLR Family, Pyrin Domain-Containing 3 Protein/metabolism*
;
Signal Transduction
;
Vascular Endothelial Growth Factor A/genetics*
9.Agreement between clinical and angiographic staging of diabetic retinopathy in a Tertiary Government Hospital in the Philippines
Philippine Journal of Ophthalmology 2022;47(1):9-14
Objective
The main objective of this study is to determine the agreement between the clinical staging of
diabetic retinopathy (DR) with fluorescein angiography (FA) staging in an actual clinic.
Diabetic Retinopathy
;
Fluorescein Angiography
;
Ophthalmoscopy
;
Diabetes Mellitus
10.Importance of full-cycle management for diabetic retinopathy.
Yin Chen SHEN ; Yu Hang MA ; Yu Fan WANG ; Kun LIU ; Xun XU
Chinese Journal of Preventive Medicine 2022;56(12):1889-1892
Diabetic retinopathy (DR), one of the chronic complications of diabetes, is a serious and irreversible blinding disease. It is difficult to detect in the early stage, to control in the progressive stage, to operate in the advanced stage of DR. Recently, the "14th Five-year plan" for National Eye Health proposed to "improve the management mode of chronic eye disease, and build a chronic disease management system". The project team used artificial intelligence technology based on cloud platform, joint outpatient service, virtual ward to explore the comprehensive management of DR from the aspects of early screening, multidisciplinary collaborative diagnosis and treatment, and refined blood glucose management during perioperative period. In the future, it is urgent to integrate DR chronic disease management with other systemic chronic diseases to reduce the blindness caused by DR.
Humans
;
Diabetic Retinopathy/diagnosis*
;
Artificial Intelligence
;
Mass Screening
;
Blindness/prevention & control*
;
Diabetes Mellitus


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