ObjectiveTo observe the optical coherence tomography angiography (OCTA) image characteristics of polypoid choroidal vascular disease (PCV) after intravitreal injection of anti-vascular endothelial growth factor drugs, and to discuss its significance in the diagnosis and follow-up of PCV.MethodsA retrospective case study. From August 2018 to January 2020, 22 eyes of 22 patients with PCV diagnosed in the ophthalmological examination of Affiliated Hospital of Weifang Medical University were included in the study. Among them, there were 10 males with 10 eyes and 12 females with 12 eyes; the average age was 67.75±9.53 years. Best corrected visual acuity (BCVA), OCTA, and indocyanine green angiography (ICGA) were performed. All the affected eyes were injected vitreously with 10 mg/ml Conbercept 0.05 ml (including Conbercept 0.5 mg) once a month for 3 consecutive months.Tthe macular area of 3 mm×3 mm and 6 mm×6 mm with an OCTA instrument was scanned, and the foveal retinal thickness (CRT) was measured, the area of abnormal branch blood vessels (BVN). pigment epithelial detachment before and 12 months after treatment (PED) height, foveal choroid thickness (SFCT) were performed. The diagnosis rate of PCV by OCTA was observed, as well as the changes of various indicators of BCVA and OCTA. Before and after treatment, BCVA and CRT were compared by paired t test; BVN area, PED height, and SFCT were compared by variance analysis. The changes in imaging characteristics of OCTA before and after treatment were analyzed.ResultsAmong the 22 eyes, 8 eyes were BVN; 5 eyes were polypoid lesions (polyps); 5 eyes were BVN combined with polyps; 3 eyes were not found with BVN and polyps; 1 eye with small vascular network structure, this eye was ICGA Appears as strong nodular fluorescence (polyps). The detection rate of PCV by OCTA was 86.36% (19/22). Twelve months after treatment, BVN was significantly reduced or disappeared in 16 eyes (72.72%, 16/22); polyps disappeared in 17 eyes (77.27%, 17/22). Compared with before treatment, 12 months after treatment, BCVA increased (t=3.071), CRT decreased (t=2.440), the difference was statistically significant (P＜0.05); the average BVN area, PED height, and SFCT decreased. The difference in average BVN area and PED height was statistically significant (F=2.805, 3.916; P＜0.05), and the difference in SFCT was not statistically significant (F=0.047, P＞0.05).ConclusionsThe detection rate of PCV by OCTA is 86.36%. After PCV anti-vascular endothelial growth factor drug treatment, BVN area decrease and polyps subside. OCTA is an effective means for PCV diagnosis and follow-up after anti-VEGF drug treatment.
ObjectiveTo observe and analyze the correlation between time within target glucose range (TIR) and hemoglobin A1c (HbA1c) and the risk of diabetic retinopathy (DR). MethodsA retrospective clinical study. From March 2020 to August 2021, 91 patients with type 2 diabetes mellitus (T2DM) who were hospitalized in Department of Endocrinology and Metabolic Diseases, Affiliated Hospital of Weifang Medical University, were included in the study. All patients underwent Oburg's no-dilatation ultra-wide-angle laser scan ophthalmoscopy, HbA1c and continuous glucose monitoring (CGM) examinations. According to the examination results and combined with the clinical diagnostic criteria of DR, the patients were divided into non-DR (NDR) group and DR group, with 50 and 41 cases respectively. The retrospective CGM system was used to monitor the subcutaneous interstitial fluid glucose for 7 to 14 consecutive days, and the TIR was calculated. Binary logistic regression was used to analyze the correlation between TIR, HbAlc and DR in patients with T2DM0. At the same time, a new indicator was generated, the predicted probability value (PRE_1), which was generated to represent the combined indicator of TIR and HbA1c in predicting the occurrence of DR. The receiver operating characteristic curve (ROC curve) was used to analyze the value of TIR, HbAlc and PRE_1 in predicting the occurrence of DR. ResultsThe TIR of patients in the NDR group and DR group were (81.58±15.51)% and (67.27±22.09)%, respectively, and HbA1c were (8.03±2.16)% and (9.01±2.01)%, respectively. The differences in TIR and HbA1c between the two groups of patients were statistically significant (t=3.501,－2.208; P=0.001, 0.030). The results of binary logistic regression analysis showed that TIR, HbA1c and DR were significantly correlated (odds ratio=0.960, 1.254; P=0.002, 0.036). ROC curve analysis results showed that the area under the ROC curve (AUC) of TIR, HbA1c and PRE_1 predicting the risk of DR were 0.704, 0.668, and 0.707, respectively [95% confidence interval (CI) 0.597-0.812, P=0.001; 95%CI 0.558-0.778, P=0.006; 95%CI 0.602-0.798, P=0.001]. There was no statistically significant difference between TIR, HbA1c and PRE_1 predicting the AUC of DR risk (P>0.05). The linear equation between HbAlc and TIR was HbAlc (%) = 11.37－0.04×TIR (%). ConclusionsTIR and HbA1c are both related to DR and can predict the risk of DR. The combined use of the two does not improve the predictive value of DR. There is a linear correlation between TIR and HbAlc.