scholarly journals Diabetic Retinopathy Screening Ratio Is Improved When Using a Digital, Nonmydriatic Fundus Camera Onsite in a Diabetes Outpatient Clinic

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Pia Roser ◽  
Hannes Kalscheuer ◽  
Jan B. Groener ◽  
Daniel Lehnhoff ◽  
Roman Klein ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Outpatient Clinic ◽  
Microvascular Complications ◽  
Diabetic Polyneuropathy ◽  
Cross Sectional Study ◽  
Newly Diagnosed ◽  
Cross Sectional ◽  
Fundus Camera ◽  
Diabetic Retinopathy Screening ◽  
Single Field

Objective. To evaluate the effect of onsite screening with a nonmydriatic, digital fundus camera for diabetic retinopathy (DR) at a diabetes outpatient clinic.Research Design and Methods. This cross-sectional study included 502 patients, 112 with type 1 and 390 with type 2 diabetes. Patients attended screenings for microvascular complications, including diabetic nephropathy (DN), diabetic polyneuropathy (DP), and DR. Single-field retinal imaging with a digital, nonmydriatic fundus camera was used to assess DR. Prevalence and incidence of microvascular complications were analyzed and the ratio of newly diagnosed to preexisting complications for all entities was calculated in order to differentiate natural progress from missed DRs.Results. For both types of diabetes, prevalence of DR was 25.0% (n=126) and incidence 6.4% (n=32) (T1DM versus T2DM: prevalence: 35.7% versus 22.1%, incidence 5.4% versus 6.7%). 25.4% of all DRs were newly diagnosed. Furthermore, the ratio of newly diagnosed to preexisting DR was higher than those for DN (p=0.12) and DP (p=0.03) representing at least 13 patients with missed DR.Conclusions. The results indicate that implementing nonmydriatic, digital fundus imaging in a diabetes outpatient clinic can contribute to improved early diagnosis of diabetic retinopathy.

scholarly journals Verification of 3D-printed universal smartphone retinal imaging adapter against conventional fundus camera imaging for diabetic retinopathy screening

2020 ◽  
Vol 2 (3) ◽  
pp. 190-202
Author(s):  
Yuen Keat Gan ◽  
Amir Samsudin
Keyword(s):  
Diabetic Retinopathy ◽  
Retinal Imaging ◽  
Cross Sectional Study ◽  
Kappa Statistics ◽  
Cross Sectional ◽  
Fundus Camera ◽  
Diabetic Retinopathy Screening ◽  
Camera Imaging ◽  
Institutional Review ◽  
Kappa Agreement

Introduction: Screening for diabetic retinopathy (DR) is critical in preventing visual loss. However, current tools are expensive, bulky and sensitive, thus limiting screening coverage, especially in developing areas such as the interior of Borneo. Smartphone-assisted devices may provide an alternative and this study seeks to determine the level of agreement between a smartphone retinal imaging adapter (SRIA) against conventional ones. Materials and methods: This was a cross-sectional study with Institutional Review Board approval from the Medical Ethics Board of University of Malaya Medical Centre. A total of 284 eyes from 142 patients included underwent retinal imaging using a conventional fundus camera and the SRIA. The images were graded according to Early Treatment of Diabetic Retinopathy Study (ETDRS) classification. Agreement between both modalities was calculated using Cohen’s Kappa statistics. Results: The Kappa agreement between SRIA and conventional fundus imaging in grading individual ETDRS stages stood at 0.648 (p < 0.001), achieving up to 0.752 (p < 0.001) when differentiating between no DR, non-proliferative DR, and proliferative DR. Conclusion: DR grading SRIA and conventional fundus camera imaging were comparable. SRIA can be useful in eye screenings but still needs improvement.

scholarly journals Analysis of factors related to diabetic retinopathy in patients with newly diagnosed type 2 diabetes: a cross-sectional study

BMJ Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. e032095
Author(s):  
Zhaohu Hao ◽  
Xiao Huang ◽  
Yongzhang Qin ◽  
Huanming Li ◽  
Fengshi Tian ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Smoking Status ◽  
Cross Sectional Study ◽  
Related Factor ◽  
Newly Diagnosed ◽  
Cross Sectional ◽  
Heavy Smoking ◽  
Family History Of Diabetes ◽  
Drinking History ◽  
Diagnosed Diabetes

AimTo investigate the related factors of diabetic retinopathy (DR) and explore the correlation between smoking and DR in patients with newly diagnosed type 2 diabetes mellitus (T2DM).DesignA single-centre cross-sectional study.SettingTianjin 4th Central Hospital.ParticipantsPatients with newly diagnosed T2DM who visited the outpatient department of the hospital from December 2018 to April 2019.MethodsA total of 947 patients were enrolled in the study. They were divided into two groups according to whether they were diagnosed with DR (diabetic retinopathy group, DR group; non-diabetic retinopathy group, NDR group). The smoking index (SI) was calculated to assess smoking status. Factors such as sex, age, hypertension, T2DM diagnosed age, family history of diabetes, drinking history, haemoglobin A1c (HbA1c), body mass index (BMI) and smoking status were compared between the two groups. Logistic regression was used to analyse the relationship between DR and the above factors.ResultsThere was no statistically significant difference between the two groups in sex, age, hypertension, DM diagnosed age, family history of diabetes, drinking history and HbA1c. BMI was significantly higher in DR patients (27.7±4.2 vs 26.7±4.4, p=0.004). Smoking status was also different between the two groups (χ2=6.350, p=0.042). BMI was shown to be a related factor for DR in patients with newly diagnosed diabetes (OR=0.592, p=0.004). When BMI was ≥28 kg/m2, heavy smoking was significantly associated with DR (OR=2.219, p=0.049), and there was a negative correlation between DR and the age of diagnosis of diabetes ≥60 years (OR=0.289, p=0.009).ConclusionsHeavy smoking was an important related factor for DR in patients with newly diagnosed diabetes mellitus when BMI was ≥28 kg/m2. Delaying the age of diabetes might prevent the occurrence of DR. To elucidate the correlation, long-term cohort studies with large samples are needed.

scholarly journals Level of VEGF-A and interleukin 6 in lacrimal fluid of patients with diabetic retinopathy

2020 ◽  
Vol 14 (3) ◽  
pp. 664-673
Author(s):  
Christelle Domngang ◽  
Armelle Lowe Noutchie ◽  
Pascal Djamen Chuisseu ◽  
Freddy Nemg Simo ◽  
Borris Tietche Galani ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Interleukin 6 ◽  
Microvascular Complications ◽  
Cross Sectional Study ◽  
Elisa Test ◽  
Diabetic Patients ◽  
Vascular Endothelial ◽  
Cross Sectional ◽  
The Mean ◽  
Endothelial Growth Factor

Diabetic retinopathy (DR) is an ocular manifestation characterized by microvascular complications. The aim of this study was to investigate the relationship between diabetic retinopathy (DR) and two lacrimal angiogenic cytokines, interleukin-6 (Il-6) and vascular endothelial growth factor-A (VEGF-A). A cross-sectional study was conducted at Yaoundé Central Hospital from February,1 to June, 15, 2019. Twenty-six diabetic patients with retinopathy and 55 diabetics without retinopathy were enrolled. Tears were collected with Schirmer strips. The concentrations of VEGF-A and Il-6 were determined by the ELISA test. Statistical analysis was performed using Epi Data version 7.1.5.2. and GraphPad 5.0. The mean VEGF-A concentration was 163.4 ± 45.1 and 149± 81.8 pg/ml in patients with and without DR respectively (p= 0.292) while tear Il-6 level was 118.5±103 and 119±79.43 pg/ml in patients with and without DR respectively (p= 0.497). The mean tear VEGF level was 165.2 ± 76.10 and 153.50 ± 57.94 pg/mL in patients with and without diabetic maculopathy (DM) respectively (p=0.343) while tear Il-6 level was significantly lower in DM (54.92±32.68) compared to patients without DM (159.10±89.78) (p=0.047). Tear Il-6 level was significantly low in patients with DM. There was no association between the 2 lacrimal biomarkers and diabetic retinopathy. Further analysis is needed for this type of screening in diabetic patients.Keywords: eye, retina, tear, diabetes, biomarker; cytokine.

scholarly journals Usefulness of corneal esthesiometry for screening diabetic retinopathy

2003 ◽  
Vol 37 (5) ◽  
pp. 609-615 ◽  
Author(s):  
Lênio Souza Alvarenga ◽  
Elisabeth Nogueira Martins ◽  
Gustavo Teixeira Grottone ◽  
Paulo Henrique Ávila Morales ◽  
Augusto Paranhos Jr ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Roc Curve ◽  
Operating Characteristic ◽  
Screening Program ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Diabetic Retinopathy Screening ◽  
The City ◽  
Retinopathy Screening

OBJECTIVE: To assess the usefulness of corneal esthesiometry for screening diabetic retinopathy. METHODS: A cross-sectional study was carried out comprising 575 patients attending a diabetic retinopathy-screening program in the city of São Paulo. Corneal esthesiometry was assessed with the Cochet-Bonnet esthesiometer. The presence of diabetic retinopathy was detected with indirect fundoscopy. The validity of corneal esthesiometry in identifying diabetic retinopathy was evaluated by the Receiver Operating Characteristic (ROC) curve. RESULTS: Sensitivity and specificity analyses of the corneal esthesiometry for detecting the stages of diabetic retinopathy using different cut-offs showed values less than 80%. The best indices (72.2% sensitivity and 57.4% specificity) were obtained for the identification of patients with proliferative diabetic retinopathy. CONCLUSIONS: In the study series, corneal esthesiometry was not a good indicator of diabetic retinopathy.

scholarly journals Comparison of true-colour wide-field confocal scanner imaging with standard fundus photography for diabetic retinopathy screening

2020 ◽  
pp. bjophthalmol-2019-315269 ◽  
Author(s):  
Abraham Olvera-Barrios ◽  
Tjebo FC Heeren ◽  
Konstantinos Balaskas ◽  
Ryan Chambers ◽  
Louis Bolter ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Kappa Statistic ◽  
Cross Sectional Study ◽  
Fundus Photography ◽  
Diabetic Patients ◽  
Wide Field ◽  
Cross Sectional ◽  
Imaging Protocol ◽  
Diabetic Retinopathy Screening ◽  
Diabetic Eye Screening

BackgroundScreening of diabetic retinopathy (DR) reduces blindness by early identification of retinopathy. This study compares DR grades derived from a two-field imaging protocol from two imaging platforms, one providing a single 60-degree horizontal field of view (FOV) and the other, a standard 45-degree FOV.MethodsCross-sectional study which included 1257 diabetic patients aged ≥18 years attending their DR screening visit in the English National Diabetic Eye Screening Programme (NDESP). Patients with maculopathy (M1), preproliferative (R2) or proliferative DR (R3) were referred to an ophthalmologist. Patients with ungradable images (U) are examined in a slit-lamp biomicroscopy clinic. Image acquisition under mydriasis of two images per eye was carried out with the EIDON and with standard fundus cameras. Evaluation was performed by masked graders.ResultsAgreement after consensus with kappa statistic was 0.89 (quadratic weights (95% CI 0.87 to 0.92)) for NDESP severity grade, 0.88 (quadratic weights (95% CI 0.82 to 0.94)) for referable disease and 0.92 (linear weights (95% CI 0.88 to 0.95)) for maculopathy. The EIDON detected clinically relevant DR features outside the 45-degree fields in two patients (0.16%): one with intraretinal microvascular abnormalities (IRMAs) and one with neovascularisation. In eight patients (0.64%), the EIDON allowed DR feature visualisation inside the 45-degree fields that were not identified in the NDESP images: three patients (0.24%) with IRMA and five patients (0.40%) with maculopathy. The rates of ungradable encounters were 12 (0.95%) and 13 (1.03%) with the EIDON and NDESP images, respectively.ConclusionThe EIDON identifies a small number of additional patients with referable disease which are not detected with standard imaging. This is due to the EIDON finding disease outside the standard FOV and greater clarity finding disease within the standard FOV.

Association Among Abdominal Obesity Induces, Diabetic Retinopathy and Metabolic Syndrome in Community: a Cross-sectional Study

2021 ◽  
Author(s):  
Xin Li ◽  
Zi-Wei Yu ◽  
Chang-Wei Yang ◽  
Ming Hao ◽  
Xin-Yuan Gao ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Diabetic Retinopathy ◽  
Microvascular Complications ◽  
Cross Sectional Study ◽  
Fundus Photography ◽  
Anthropometric Parameters ◽  
Cross Sectional ◽  
Men And Women ◽  
The Metabolic Syndrome ◽  
The Relationship

Abstract Background and aims: Obesity often coexists with diabetes has been recognized as a risk factor for diabetic complications. Diabetic retinopathy (DR) is one of the most common microvascular complications of diabetes, and the metabolic syndrome (MetS) is one of the most common symptoms of diabetes. The purpose of this study was to explore the relationship between DR and some induces, including NC, CVAI, PWNC and so on; as well as the relationship between DR and MetS.Methods: From 2018 to 2019, a total of 562 diabetics from the Hulan District of Harbin, Heilongjiang, were selected and completed a questionnaire survey. The questionnaire included basic patient information, anthropometric parameters, blood pressure, biochemical parameters and fundus photography results.Results: In both men and women, a one standard deviation (SD) increase in NC、CVAI and PWNC was not associated with the prevalence of DR (P>0.05). However, in both men and women, a one SD increase in NC、CVAI and PWNC was significantly associated with the prevalence of MetS (P<0.05). These association were all adjusted for potential confounding factors. Moreover, DR was not associated with MetS(P>0.05).Conclusions: NC, CVAI and PWNC are associated with the prevalence of MetS. NC in men and CVAI in women had the largest area under the ROC curve compared to the other induces, which may be convenient and valuable anthropometric measurements for early prevention of MetS. However, these induces had no association with DR and there is no relationship between DR and MetS.

scholarly journals ASSOCIATION OF HBA1C LEVELAND DIABETIC RETINOPATHY AMONG PATIENTS COMING TO OPD OF KATIHAR MEDICAL COLLEGE HOSPITALAND ITS VISUAL OUTCOME: A RETROSPECTIVE CROSS SECTIONAL STUDY

2020 ◽  
pp. 1-1
Author(s):  
Arjun Kumar Singh ◽  
Himanshu Kumar
Keyword(s):  
Diabetic Retinopathy ◽  
Microvascular Complications ◽  
Large Population ◽  
Visual Outcome ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Postprandial Plasma Glucose ◽  
Medical College ◽  
Hba1c Levels ◽  
Statistical Criteria

Diabetic retinopathy (DR) is one of the major microvascular complications of diabetes.(5) It is one of the most common cause of preventable blindness in diabetic adults. A study of over 44,000 individuals from 9 countries,7 which evaluated fasting and 2-h postprandial plasma glucose and HbA1c levels found a curvilinear plot of diabetic retinopathy versus HbA1c, and suggested a threshold for the diagnosis of diabetes, based on several different statistical criteria, defined by the presence of diabetes-specific retinopathy in this large population as a function of HbA1c level. The statistical cutoff point for this diagnosis was determined to be an HbA1c threshold of >6.5%, which is the accepted international standard.

scholarly journals Identification of Diabetic Retinopathy through Machine Learning

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Malik Bader Alazzam ◽  
Fawaz Alassery ◽  
Ahmed Almulihi
Keyword(s):  
Machine Learning ◽  
Diabetic Retinopathy ◽  
Diagnostic Accuracy ◽  
Cross Sectional Study ◽  
Disease Classification ◽  
Ophthalmological Examination ◽  
Restricted Boltzmann Machines ◽  
Cross Sectional ◽  
Diabetic Retinopathy Screening

A cross-sectional study of patients with suspected diabetic retinopathy (DR) who had an ophthalmological examination and a retinal scan is the focus of this research. Specialized retinal images were analyzed and classified using OPF and RBM models (restricted Boltzmann machines). Classification of retinographs was based on the presence or absence of disease-related retinopathy (DR). The RBM and OPF models extracted 500 and 1000 characteristics from the images for disease classification after the system training phase for the recognition of retinopathy and normality patterns. There were a total of fifteen different experiment series, each with a repetition rate of 30 cycles. The study included 73 diabetics (a total of 122 eyes), with 50.7% of them being men and 49.3% being women. The population was on the older side, at 59.7 years old on average. The RBM-1000 had the highest overall diagnostic accuracy (89.47) of any of the devices evaluated. The RBM-500 had a better autodetection system for DR signals in fundus images than the competition (100% sensitivity). In terms of specificity, RBM-1000 and OPF-1000 correctly identified all of the images that lacked DR signs. In particular, the RBM model of machine learning automatic disease detection performed well in terms of diagnostic accuracy, sensitivity, and application in diabetic retinopathy screening.

Sign in / Sign up

Export Citation Format

Share Document