Objective:To construct a systematic quality control management model for insulin pump and analyze its clinical application effect.Methods:To construct a systematic quality control management model for insulin pumps,that is,to manage the whole process of insulin pump equipment installation process,fault detection and pipeline replacement,comprehensively monitor the patient'daily medication and physical condition,timely detect and deal with faults,so that insulin pumps can better serve patients to effectively control blood sugar.32 insulin pumps configured by Shanghai Sixth People's Hospital were selected.120 patients with type 2 diabetes who used insulin pumps and equipment in conventional management mode from July 2022 to October 2022 were included in the control group,and 120 patients with type 2 diabetes who used insulin pumps and equipment in systematic quality control management mode from October 2022 to July 2023 were included in the observation group.The common faults of the two groups,the treatment effect of the equipment,and the patient compliance before and after the use of the equipment were compared.Results:The incidence of common faults such as redness rate at implantation site,tube blockage rate,tube dislocation rate and instrument damage rate in the observation group were lower than those in the control group,with significant differences(x2=6.737,6.664,9.955,6.793,P<0.05).The installation time,fault discovery time and tube replacement time of the observation group,with significant differences(t=6.078,5.428,5.786,P<0.05).The scores of diet control,exercise,blood sugar monitoring and medication compliance in the observation group were higher than those in the control group,with significant differences(t=6.816,12.627,20.169,15.317,P<0.05).Conclusion:Applying the systematic quality control management model to insulin pump management can reduce the incidence of insulin pump failures,shorten installation time,and enable insulin pumps to better serve patients to effectively control blood sugar and protect their health.

Objective To explore the optimization for parameters of 5.0T pseudo continuous arterial spin labeling(pCASL)MRI of whole brain.Methods Nine healthy adults were prospectively enrolled,and single-delay pCASL scanning was performed based on a 5.0T MR scanner with 3 sets of labeling gradients:Group A,average gradient(Gavg)=1 mT/m and the ratio of maximum gradient(Gmax)to Gavg(Gratio)=10,group B,Gavg=0.6 mT/m and Gratio=10,group C,Gavg=0.3 mT/m and Gratio=9.The labeling efficiency and cerebral blood flow(CBF)of 3 groups were compared to screen the best labeling gradient group.Results When the marked average blood flow velocity was 40 cm/s,the gradient field tolerance of group C was better than that of group A and B at the situation of reduced B1+and larger B0 offset frequency range.Under the gradient field of group C,the level of labeled artery B1 ranged from 54.19％to 75.36％,with an average of 64.71％.The labeling efficiencies of group C were all ≥85％,and all ≥90％at the average B1 level(64.71％).In the whole gray matter and almost all brain regions,CBF on pCASL under gradient field of group C was significantly higher than that of group A and B(all P＜0.05).Conclusion Low Gavg and low Gmax were the optimal parameters for 5.0T whole brain pCASL MRI.