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Validation of a Predictive Model to Estimate the Risk of Conversion to Clinically Significant Macular Edema and/or Vision Loss in Mild Nonproliferative Diabetic Retinopathy in Diabetes Type 2

Completed
Conditions
Diabetic Retinopathy
Registration Number
NCT00763802
Lead Sponsor
Association for Innovation and Biomedical Research on Light and Image
Brief Summary

This project aims to validate a predictive model of diabetic retinopathy progression to clinically significant macular edema (CSME) needing photocoagulation and/or vision loss. The Coimbra Predictive Model (CPM), based on retinal thickness, microaneurysms number, HbA1C and LDL levels, established on a set of 52 diabetic patients, will be tested on a population of 400 patients/eyes to be enrolled into the study. These patients will perform 2 visits at 6-month interval (V0 and V6) to classify each patient into one of the 3 previously established phenotypes. Two years after (V24) patients will be reexamined. The occurrence of end-points, achieved by the patients, are expected to validate our predictive model.

Detailed Description

Not available

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
400
Inclusion Criteria
  • Diabetes type 2 according to 1985 WHO criteria.
  • Age between 35 and 75 years.
  • Mild non-prolipherative retinopathy (based on ETDRS criteria)
  • Best Corrected Visual acuity >20 /25
  • Refraction with a spherical equivalent less than 5 Dp.
  • Inform consent
Exclusion Criteria
  • Cataract or other eye disease that may interfere with fundus examinations
  • Glaucoma
  • Vitreous syneresis or posterior vitreous detachment
  • Other retinal vascular disease
  • Recent intraocular surgery
  • Previous laser therapy
  • Dilatation of the pupil < 5 mm

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
CSME needing Photocoagulation24 months
Secondary Outcome Measures
NameTimeMethod
Vision Loss24 months

Trial Locations

Locations (1)

AIBILI

🇵🇹

Coimbra, Portugal

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