Clinical Decision Support Algorithm to Predict Diabetic Retinopathy
- Conditions
- Diabetic Retinopathy
- Registration Number
- NCT03769948
- Lead Sponsor
- Oklahoma State University Center for Health Sciences
- Brief Summary
Diabetic retinopathy (DR), a complication of diabetes, is a leading cause of blindness among working-aged adults globally. In its early stages, DR is symptomless, and can only be detected by an annual eye exam. Once the disease has progressed to the point where vision loss has occurred, the damage is irreversible. Consequently, early detection is quintessential in treating DR. Two barriers to early detection are poor patient compliance with the annual exam and lack of access to specialists in rural areas. This research is focused on developing and validating new, cost-effective predictive technologies that can improve early screening of DR. Our overall objective is to develop and implement an entire suite of tools to detect diabetes complications in order to augment care for underserved rural populations in the US and internationally.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 500
For diabetic patients with DR:
- With 250.xx diabetes and 362.0x DR ICD-9 codes
- All variables are complete within the observation window
For diabetic patients without DR:
- With 250.xx diabetes ICD-9 codes
- Without 362.0x DR ICD-9 codes
- All variables are complete within the observation window
Not provided
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Diabetic retinopathy indicator (yes/no) March, 2019 Diabetic patients with 362.0x ICD-9 codes are classified as DR patient
- Secondary Outcome Measures
Name Time Method