ObjectiveTo evaluate the diagnosis of blue-on-yellow perimetry and macular threshold perimetry in early primary glaucoma. MethodsHumphrey Ⅱ-750 automatic perimetry was used to test 60 eyes of 60 cases in normal control group and 63 eyes of 63 cases in early primary glaucoma group with white-on-white perimetry (W/W), blue-on-yellow perimetry (B/Y), and macular threshold perimetry (MTP). The results of the visual field defects detected by the three perimetries were compared and analyzed.ResultsThe differences of mean sensibility of W/W, B/Y and MTP between the two groups had statistical significance [t=-3.01, P=0.005 4 (W/W); t=-2.95, P=0.006 3 (B/Y); t=-2.59,P=0.015 0 (MTP)]. In the diagnosis of early primary glaucoma, the sensitivity of MTP was the highest (83%), B/Y was the second (65%), and W/W was the lowest (48%). When B/Y and MTP were combined, the sensitivity was improved to 94% using parallel testing, and the specificity was improved to 87% using serial testing. ConclusionsB/Y and MTP are valuable in diagnosis of early primary glaucoma, and the sensitivity and specificity of the diagnosis can be improved when B/Y and MTP are combined.

Objective To evaluate the effectiveness of orthokeratology (Ortho-k) in treatment of myopia. Method Using Better Vision Contact lenses to treat 98 patients with myopia(192 eyes). The visual, the diopter of myopia and the corneal curvature were observed.Results Three monthes after treatment the myopia degree was reduced by-5 75D,astigmatism with rale was decreased by-2 75D,respectively,96 47% of low myopia (≤-3 00D),64 49% moderate-high myopia (-3 00D～-7 25D) were recovered to emmetropia. A positive correlation was found between the spherical equivalent and the corneal curvature (?=0 993,P

Objective To investigate the effect of allicin on the development of atherosclerosis in apoE-/-mice and explore its underlying mechanism from the perspective of protein S-nitrosylation.Methods Thirty male apoE-/- mice were randomly divided into 3 groups:control group (saline,ig),low-dose group (allicin,9 mg/kg·d, ig)and high-dose group (allicin,18 mg/kg·d,ig).They were fed with high cholesterol diet for 12 weeks.The levels of plasma lipids,oxidized-LDL (ox-LDL),malondialdehyde,tumor necrosis factor-alpha and nitric oxide (NO)were measured.The atherosclerotic lesions in aortic root were evaluated after hematoxylin and eosin staining and elastica van Gieson and immunohistochemical staining,respectively.Furthermore,in vitro experiments were performed using human umbilical vein endothelial cells (HUVECs).The HUVECs were treated with allicin (10μmol/L or 20 μmol/L)for 24 hours in the presence of ox-LDL (50 μg/mL).The level of NO in supernatant was measured by a nitrate/nitrite assay. The protein S-nitrosylation of the HUVECs was detected through immunofluorescence.Results The histological analysis revealed that allicin treatment not only significantly decreased the areas of the atherosclerotic lesion (all P <0.05)but also suppressed the macrophage accumulation and smooth muscle cell proliferation in the lesion.There was no significant difference in the levels of plasma lipids between control and treated groups.However,allicin exerted obvious anti-oxidative and anti-inflammatory effects. Interestingly,the allicin treatment led to marked increase of the plasma NO level (P <0.05)and aortic protein S-nitrosylation.The experiments in vitro further proved that the allicin up-regulated the levels of NO and protein S-nitrosylation in HUVECs treated with ox-LDL (P < 0.01 ).Conclusion Allicin can inhibit the development of atherosclerosis.The mechanism is associated with the up-regulation of protein S-nitrosylation in endothelial cells, which plays an important role in anti-oxidization and anti-inflammation.

Objective:To establish and validate a preoperative differentiateon model of intrahepatic cholangiocarcinoma (ICC) and combined hepatocellular carcinoma (CHC) based on the inflammatory markers and conventional clinical indicators.Methods:The clinical data of 116 patients with ICC or CHC admitted to Henan Provincial People's Hospital from January 2018 to March 2023 were retrospectively analyzed, including 74 males and 42 females, aged (58.5±9.4) years old. The data of 83 patients were used to establish the differentiation model as the training group, including 50 cases of ICC and 33 cases of CHC. The data of 33 patients were used to validate the model as the validation group, including 20 cases of ICC and 13 cases of CHC. The clinical data including the platelet-to-lymphocyte ratio (PLR), systemic immune inflammation index (SII), prognostic inflammatory index (PII), prognostic nutritional index (PNI), neutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR) were collected and analyzed. The receiver operating characteristic (ROC) curve was used to analyze the best cut-off values of PLR, SII, PII, PNI, NLR and LMR. Univariate and multivariate logistic regression analysis were used to determine the differential factors between ICC and CHC. The R software was used to draw the nomogram, calculate the area under the curve (AUC) to evaluate the model accuracy, and draw the calibration chart and the decision curve to evaluate the predictive efficacy of the model.Results:Univariate logistic regression analysis showed that liver cirrhosis, history of hepatitis, alpha fetoprotein, carbohydrate antigen 199, gamma-glutamyltransferase (GGT), PLR, PNI and inflammation score (IS) could be used to differentiate ICC from CHC (all P<0.05). The indicators identified in univariate analysis were included in multivariate logistic regression analysis. The results showed that absence of liver cirrhosis, GGT>60 U/L, PNI>49.53, and IS<2 indicated the pathology of ICC (all P<0.05). Based on the above four factors, a nomogram model was established to differentiate the ICC and CHC. The AUC of ROC curve of the nomogram model in the training and validation groups were 0.851 (95% CI: 0.769-0.933) and 0.771 (95% CI: 0.594-0.949), respectively. The sensitivities were 0.760 and 0.750, and the specificities were 0.818 and 0.769, respectively. The calibration chart showed that the predicted curve fitted well to the reference line. The decision curve showed that the model has a clear positive net benefit. Conclusion:The nomogram model based on inflammatory markers showed a good differentiation performance of ICC and CHC, which could benefits the individualized treatment.