Diabetic Retinopathy
Conditions
Brief summary
The greatest harm of diabetes is various acute and chronic complications, especially diabetic retinopathy(DR), leading to extremely high rates of disability and blindness. Early screening, early diagnosis, and early treatment are the keys to maintaining vision in patients with DR. However, compared with the high prevalence of diabetes in China, the DR screening ability is relatively inadequate. To change this situation, deep learning(DL), a form of artificial intelligence (AI), might be a potential effective method to solve this dilemma.
Detailed description
The greatest harm of diabetes is various acute and chronic complications, especially DR, leading to extremely high rates of disability and blindness. However, if the fundus examination is carried out regularly in the early stages of onset, the risk of blindness can be significantly reduced. Therefore, early screening, early diagnosis, and early treatment are the keys to maintaining vision in patients with DR. However, compared with the high prevalence of diabetes in China, the DR screening ability is relatively inadequate. The Diabetic Retinopathy Screening and Prevention Program is a branch project of MMC. Its purpose is to carry out an efficient workflow for early detecting, timely managing of DR, and to establish a referral system for implementing treatment and the long-term follow-up of DR by means of DL. First, In order to improve its sensitivity and specificity, more participants are involved in other medical institutes besides MMCs, then we can effectively explore the prevalance of DR in China and helps to early screening, prevention, treatment and referal process of DR. Secend, we collect participants' serum, plasma,DNA, several medical stastistics and life styles to explore genetics, new biomarkers, risk factors of DR. Objective: 1. To validate the methodology and feasibility of DR screening using a DL based automated DR grading system in clinical practice. 2. To explore the prevalence of DR and subgroup identification, and fundus images analysis, etc. 3. To explore the genetics, new biomarkers, risk factors of DR. 4. To explore the methods of early screening, prevention, treatment and referal process of DR.
Interventions
None listed
Sponsors
Shanghai Jiao Tong University School of Medicine
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Meet the diagnostic criteria for type 2 diabetes according to the World Health Organization (WHO) in 1999; Type 1 diabetes, single gene mutation diabetes, secondary diabetes caused by pancreatic damage, Cushing's syndrome, thyroid dysfunction, or acromegaly; * Subjects from other medical institutes are diabetes, non-diabetic patients and healthy participants who are invited to participate in the study.
Exclusion criteria
* Those who have a history of drug abuse; * Sexually transmitted diseases such as AIDS and syphilis, and infectious diseases such as viral hepatitis and tuberculosis which are at active phase; * Any condition that the investigator think that the subject is not suitable for participating in the study. For detailed In-/Ex-clusion criteria please see the study protocol.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Diabetic retinopathy | through study completion, up to 20 years | diabetic retinopathy |
| Referable diabetic retinopathy | through study completion, up to 20 years | Referable diabetic retinopathy |
| Vision threatening diabetic retinopathy | through study completion, up to 20 years | Vision threatening diabetic retinopathy |
| Diabetic macular edema | through study completion, up to 20 years | Diabetic macular edema |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Salt intake | through study completion, up to 20 years | — |
| Vegetable and fruits intake | through study completion, up to 20 years | — |
| Physical activity | through study completion, up to 20 years | — |
| Blood pressures (mmHg) | through study completion, up to 20 years | — |
| Lipids (mg/dl) | through study completion, up to 20 years | — |
| Body mass index (BMI) | through study completion, up to 20 years | Body weight (kg) and height (m) will be combined to report BMI in kg/m\^2 |
| Systolic blood pressure | through study completion, up to 20 years | — |
| Diastolic blood pressure | through study completion, up to 20 years | — |
| Visceral fat (cm^2) | through study completion, up to 20 years | — |
| Cardiolvascular diseases | through study completion, up to 20 years | — |
| Postprandial glucose (mmol/L) | through study completion, up to 20 years | — |
| Fasting serum C peptide (ug/L) | through study completion, up to 20 years | — |
| Postprandial serum C peptide (ug/L) | through study completion, up to 20 years | — |
| Fasting serum insuline (μIU/mL) | through study completion, up to 20 years | — |
| Postprandial serum insuline (μIU/mL) | through study completion, up to 20 years | — |
| Intimal medial thikness (mm) | through study completion, up to 20 years | — |
| Pulse wave velocity (cm/s) | through study completion, up to 20 years | — |
| Albumin-creatinine-ratio (mg/mmol) | through study completion, up to 20 years | — |
| Fasting glucose (mmol/L) | through study completion, up to 20 years | — |
| HbA1c (%) | through study completion, up to 20 years | — |
| Smoking history | through study completion, up to 20 years | — |
| Alcohol intake | through study completion, up to 20 years | — |
Countries
China
Contacts
Primary ContactGuang Ning, MD,PHD
Outcome results
None listed