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Can the level of HbA1C predict diabetic retinopathy among type II diabetic patients?
Javad Setareh1, Ghazale Hoseinzade2, Batoul Khoundabi3,4
1Psychiatry and Behavioral Sciences Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran.
Insights
A Hemoglobin A1C (HbA1C) level of 8.15% can predict diabetic retinopathy in Type 2 diabetes patients. This finding aids clinical decisions for managing diabetic complications in the Iranian population.
Area of Science:
- Endocrinology
- Ophthalmology
- Clinical Medicine
Background:
- The Hemoglobin A1C (HbA1C) test is crucial for evaluating diabetes management and predicting complications.
- Diabetic Retinopathy (DR) is a significant complication of diabetes, necessitating effective predictive measures.
Purpose of the Study:
- To assess the predictive value of HbA1C levels for Diabetic Retinopathy (DR) in Type 2 diabetes mellitus (T2DM) patients.
- To determine an optimal HbA1C cutoff point for DR detection in the Iranian population.
Main Methods:
- A cross-sectional study involving 168 T2DM patients.
- Data collection via questionnaires and laboratory tests.
- Statistical analysis including decision trees and ROC curves to identify optimal cutoff points.
Main Results:
- The prevalence of DR was 29.8% among the study participants.
- An optimal HbA1C cutoff point of 8.15% was identified for differentiating patients with and without DR.
- Decision tree and ROC analysis confirmed this predictive threshold.
Conclusions:
- An HbA1C level of 8.15% serves as an effective cutoff for predicting DR in Iranian T2DM patients.
- This established cutoff can guide clinical judgment and management strategies for DR prevention.
- The findings provide evidence-based support for utilizing HbA1C in DR screening protocols.
Background:
Hemoglobin A1C (HbA1C) test is the best care evaluation measurement due to a strong correlation between the test results and diabetic complications. So, this cross-sectional study aimed to assess whether the level of HbA1C can predict Diabetic Retinopathy (DR) among Type 2 diabetes mellitus (T2DM) in the Iranian population.
Method:
One hundred sixty-eight diabetic patients were selected via the convenience sampling method. Data were collected by research made questionnaire scale and laboratory test had been done. To estimate the cut off point for some variables statistical tests, formal measures of classification performance, model evaluation criteria and a decision Tree were used.
Results:
The prevalence of DR was 29.8%. The Receiver Operating Characteristic (ROC) curve and decision tree showed the optimal cut-off point for the HbA1C variable that separates the patient with and without DR is HbA1C = 8.15.
Conclusion:
Current study showed an appropriate cutoff point for detecting the development of DR among diabetic patients. So, this cutoff point can be used as guide evidence in several clinical judgments on the Iranian population.
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