Nomogram including serum ferritin to predict the occurrence of diabetic retinopathy
10.3980/j.issn.1672-5123.2024.5.03
- VernacularTitle:纳入血清铁蛋白的列线图预测糖尿病视网膜病变发生
- Author:
Xiaoyu WU
1
;
Dandan XIE
1
;
Jiana CHEN
1
;
Lianhong NI
1
;
Weina LI
1
Author Information
1. Department of Ophthalmology, the 910th Hospital of Joint Services Support Force, Quanzhou 362000, Fujian Province, China
- Publication Type:Journal Article
- Keywords:
serum ferritin;
diabetic retinopathy;
nomogram;
prediction
- From:
International Eye Science
2024;24(5):671-676
- CountryChina
- Language:Chinese
-
Abstract:
AIM:To establish a nomogram model to predict the effect of serum ferritin on diabetic retinopathy and evaluate the model.METHODS:A total of 21 variables, including ferritin, were screened by univariate and multivariate regression analysis to determine the risk factors of diabetic retinopathy. A nomogram prediction model was established for evaluation and calibration.RESULTS:Ferritin, duration of diabetes, hemoglobin, urine microalbumin, regularity of medication and body mass index were included in the nomogram model. The consistency index of the prediction model with serum ferritin was 0.813(95%CI: 0.748-0.879). The calibration curves of internal and external verification showed good performance, and the probability of the threshold suggested by the decision curve was in the range 10% to 90%. The model had a high net profit value.CONCLUSIONS:Serum ferritin is an important risk factor for diabetic retinopathy. A new nomogram model, which includes body mass index, duration of diabetes, ferritin, hemoglobin, urine microalbumin and regularity of medication, has a high predictive accuracy and could provide early prediction for clinicians.
