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find Author "Li Na" 2 results
  • The characteristics of the full-field flash electroretinogram in rats with oxygen induced retinopathy

    Objective To observe the characteristics of the full-field flash electroretinogram (F-ERG) in rats with oxygen induced retinopathy (OIR). Methods Twenty-four neonatal Sprague Dawley rats were divided into OIR group and control group. In OIR group, 12 rats were exposed to (75±2)% oxygen for 7 days and then to room air for 7 days; in control group, 12 rats were raised in room air for 14 days. At postnatal day 21, F-ERG tests were performed to examine the rod response , the maximum mixing reaction and the cone reaction. Results Compared with the control group, the b-wave amplitudes decreased (t=3.650) and the implicit times increased (t=2.410) in rod response in OIR group, the differences were statistically significant (P<0.05); the a- and b-wave amplitudes decreased (t=3.333, 2.562) and the implicit times increased (t=2.725, 2.482) in the maximum mixing reaction in OIR group, the differences were statistically significant (P<0.05). There was no difference between OIR and control group on a- and b-wave amplitudes (t=0.650, 0.204) and implicit times (t=0.422, 0.076) in cone response (P>0.05). 0.001 cd.s/m2 light intensity stimulation on rats F-ERG wave almost no response. 0.010 cd.s/m2 light intensity stimulation on rats can be recorded to the rod response waveform, with the increase of light intensity, the amplitude of b-wave increases, the a-wave extraction. Conclusions F-ERG of OIR rat showed that the amplitude and sensitivity of the rod response and maximal rod-cone response was decreased. The intensity of light had effect on the OIR rod cells, and the amplitude of b- wave increased with the increase of light intensity, the a-wave extraction.

    Release date:2017-04-01 08:56 Export PDF Favorites Scan
  • Study on the correlation between the time within the glucose target range, the level of glycosylated hemoglobin and the risk of diabetic retinopathy

    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.

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