动物造模,兔低血糖模型 zi-bio 2024-03-02 714

　　Objective: To establish a rabbit hypoglycemia model and evaluate the accuracy and timeliness of subcutaneous continuous glucose monitoring system in hypoglycemia monitoring.

　　Method: Sixteen female New Zealand large eared white rabbits were selected and randomly divided into four groups, with four rabbits in each group. The control group received continuous intravenous injection of physiological saline, while the experimental group received continuous intravenous injection of insulin. According to different doses, the animals were divided into insulin 0.1 U/(kg · h) group (RI=0.1 U group), insulin 0.2 U/(kg · h) group (RI=0.2 U group), and insulin 0.4 U/(kg · h) group (RI=0.4 U group). During the experiment, CGMS was monitored for 240 minutes, and ear vein blood was collected at 30 minute intervals. Blood glucose levels (BG monitoring values) were monitored using a handheld blood glucose meter.

　　Result: A total of 1296 CGMS monitoring data were obtained during the study period, and 136 BG monitoring data were matched with CGMS time. After the application of insulin, both BG and CGMS were significantly reduced. The rate of BG and CGMS reduction in the RI=0.1U group was 0.016 and 0.017 mmol/L per minute, respectively; The RI=0.2U group had 0.04 and 0.027 mmol/L per minute, respectively; The RI=0.4 U group was 0.049 and 0.032 mmol/L per minute, respectively. According to whether the BG monitoring value is lower than 4.4 mmol/L, the BG-CGMS paired data is divided into two categories: hypoglycemia and normal blood sugar. The average deviation of BG-CGMS during hypoglycemia is 0.55 mmol/L (upper and lower limits: -0.98~2.08 mmol/L), and the absolute percentage difference (RAD) is 40.2% ± 45.2%; The average deviation of BG-CGMS under normal blood sugar is -0.19 mmol/L (upper and lower limits: -1.38~1.00 mmol/L), and the RAD is 5.8% ± 5.3%. Error Grid Analysis (EGA) showed that A region accounted for 93.4%, B region accounted for 0.7%, and D region accounted for 5.9%, all of which were distributed in areas with low BG and high CGMS.

　　Conclusion: The results of this study suggest that there is a significant lag phenomenon in CGMS when the rate of blood sugar reduction increases. When blood sugar drops below 4.4 mmol/L, CGMS poses a risk of overestimating blood sugar. The clinical application of CGMS should fully consider this danger.