Relationship among fasting plasma glacose coefficient of variation and macular morphology and microcirculation in patients with nonproliferative diabetic retinopathy
10.3980/j.issn.1672-5123.2023.2.21
- VernacularTitle:血糖变异系数与非增殖型糖尿病视网膜病变患者黄斑区形态和微循环的关系
- Author:
Shu-Ying FU
1
;
Yan-Min DONG
1
Author Information
1. Department of Ophthalmology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, Henan Province, China
- Publication Type:Journal Article
- Keywords:
diabetic retinopathy;
fasting plasma glucose coefficient of variation;
macular morphology;
macular microcirculation;
optical coherence tomography angiography
- From:
International Eye Science
2023;23(2):288-293
- CountryChina
- Language:Chinese
-
Abstract:
AIM: To investigate the relationship among the fasting plasma glucose coefficient of variation(FPG-CV)and macular morphology and microcirculation in patients with nonproliferative diabetic retinopathy(NPDR).METHODS: A retrospective analysis of 82 cases(82 eyes)with NPDR admitted to our hospital from February 2018 to June 2022 was the research object, and another 82 cases(82 eyes)of non-diabetic retinopathy(NDR)patients during the same period were selected as the control group, and the clinical data of the two groups of patients were analyzed. Multivariate Logistic regression was used to analyze the risk factors affecting the incidence of NPDR, and the back propagation(BP)neural network model was established and evaluated. Pearson correlation was used to analyze the correlation among FPG-CV and macular morphology and microcirculation in patients. RESULTS: The results of multivariate Logistic regression analysis showed that the disease duration ≥7.2a, glycated hemoglobin A1c(HbA1c)≥7.7%, triglyceride(TG)≥1.9 mmol/L, microalbuminuria(MALB)≥24.5 mg/L, FPG-CV ≥9.8%, superficial capillary plexus-vessel density(SCP-VD)<27.6%, deep capillary plexus-vessel density(DCP-VD)<47.7%, foveal avascular zone(FAZ)area ≥0.38 mm2, central retinal thickness(CRT)≥197.7 μm and subfoveal choroidal thickness(SFCT)<227.7 μm were risk factors for NPDR(P<0.05). The number of hidden layer nodes is 5, and the receiver operating characteristic(ROC)curve, calibration curve and clinical decision curve show that the prediction model has good discrimination, accuracy and validity. The results of Pearson correlation analysis showed that FPG-CV was negatively correlated with SCP-VD, DCP-VD and SFCT(P<0.05); FPG-CV was positively correlated with FAZ area and CRT(P<0.05).CONCLUSION: The course of disease, HbA1c, TG, MALB, FPG-CV, SCP-VD, DCP-VD, FAZ area, CRT and SFCT are all related to the pathogenesis of NPDR. With the increase of FPG-CV, the indexes of macular morphology and microcirculation changed. FPG-CV was negatively correlated with SCP-VD, DCP-VD and SFCT and positively correlated with FAZ area and CRT.
