ObjectiveTo observe and analyze the correlation between macular microvascular parameters and urinary albumin to creatinine ratio (UACR) in patients with type 2 diabetes mellitus (T2DM). MethodsA cross-sectional study. From October 2017 to April 2018, 100 eyes of 100 patients (T2DM) and 27 eyes of 27 healthy controls (the control group) were enrolled in Xuzhou First People’s Hospital. All subjects underwent anterior segment examination via slit-lamp biomicroscopy, dilated fundus examination, 7-field fundus photographs, OCT angiography (OCTA), the fasting glucose test, glycosylated hemoglobin (HbA1c), urinary albumin, urinary creatinine and UACR levels determination. Height and weight measurement were taken for calculating body mass index (BMI). Diabetic retinopathy was ruled out by fundoscopic examinations and 7-field fundus photographs in T2DM patients. According to the UACR, patients in the T2DM group were subdivided into A1 group (UACR< 30 mg/g), A2 group (UACR 30-300 mg/g), and A3 group (UACR>300 mg/g), with 38 cases and 38 eyes respectively , 40 cases with 40 eyes, 22 cases with 22 eyes. A 6 mm×6 mm scanning area centered on the macular fovea were scanned for right eye using a frequency domain OCTA instrument, which were divided into three concentric circles centered on the macular fovea by the software automatically. The foveal zone was defined as a circular area measuring 1 mm in diameter, the parafoveal zone was described as a middle circle area measuring 1-3 mm in diameter, and the perifoveal zone was an outer circle area measuring 3-6 mm in diameter. The vessel density of superficial capillary plexus (SCP) and deep capillary plexus (DCP), foveal avascular area (FAZ) and perimeter (PERIM), non-circularity index (AI) were measured. The correlation between the macular vessel density, FAZ and UACR was analyzed by Spearman correlation analysis. ResultsA1 group, A2 group, A3 group, and normal control group. The macular area SCP and DCP (F=13.722, 5.644), foveal area (F=4.607, 4.719), parafoveal area (H=23.142, F=2.904), the blood flow density of the area around the fovea (F=12.292, H=10.946), the difference was statistically significant (P＜0.05); with the increase of UACR, the blood flow density of each area of SCP and DCP showed a downward trend. The results of correlation analysis showed that the blood flow density of the whole SCP, parafoveal area, and surrounding area of T2DM patients was negatively correlated with UACR (r=－0.376, －0.240, －0.364, －0.347, P＜0.05). There were no correlation among fasting plasma glucose, HbAlc and UACR (r=0.179, 0.085, P＞0.05). There were no correlation among blood flow density in BMI, SCP foveal area, DCP and UACR (|r|＜0.3, P＞0.05). ConclusionThe whole, parafovea and perifovea vessel density values of SCP in T2DM eyes without DR are negatively correlated with UACR.
ObjectiveTo assess the diagnostic performance of serum anti-toxocara immunoglobulin G (anti-T-IgG) in ocular toxocariasis (OT) patients. MethodsA diagnostic tests. A total of 109 patients (109 eyes) with clinically-suspected OT who treated in Department of Ophthalmology of Xuzhou First People’s Hospital from June 2015 to December 2022 were included. Patients were divided into two groups, 76 with OT and 33 with non-OT, according to the clinical manifestations and Goldmann-Witmer coefficient. Paired serum and intraocular fluid samples from each patient were collected and analyzed for specific anti-T-IgG using enzyme linked immunosorbent assay. Mann-Whitney test was performed for comparison between groups. The area under the receiver operating characteristic curve (ROC) was used to assess the diagnostic performance of serum anti-T-IgG. Kappa analysis was performed to examine the consistency of serum or intraocular fluid anti-T-IgG positive rate with OT diagnostic result. Spearman’s rank correlation test was performed to assess the association. ResultsCompared with the non-OT group, the proportions of children and history of exposure to cats and dogs (χ2=9.785, 12.026) were significantly higher in OT group, and the differences were statistically significant (P＜0.01). The positive rate (χ2=24.551) and U value (Z=−4.379) of serum anti-T-IgG in OT group were higher than those in non-OT group, and the differences were statistically significant (P＜0.000 1). The recommended serum anti-T-IgG cut-off value of 11 U had 0.72 sensitivity, 0.79 specificity, 0.89 positive predictive value, 0.55 negative predictive value, and 0.77 area under the ROC with 95% confidence interval (CI) 0.669-0.860. Correlation analysis showed that serum anti-T-IgG was positively correlated with intraocular fluid anti-T-IgG (rs=0.520, 95%CI 0.363-0.648, P＜0.000 1). The Kappa values of serum and intraocular fluid anti-T-IgG positive rate with OT diagnosis were 0.457 (95%CI 0.292-0.622) and 0.711 (95%CI 0.582-0.840), respectively. The Kappa value of serum anti-T-IgG positive rate with OT diagnosis was lower than that of intraocular fluid. ConclusionThe sensitivity and specificity of serum anti-T-IgG and the consistency between serum anti-T-IgG positive rate and OT diagnosis are low, suggesting that serum anti-T-IgG level cannot be used as a basis for OT diagnosis.