Objective To explore the feasibility of endovascular intervention technology for constructing canine models of hepatic vein(HV)obstruction type Budd-Chiari syndrome(BCS).Methods HV obstruction type BCS models were established through double approaches including external jugular vein and percutaneous transhepatic vein puncture,blocking the main HV with double balloon and injecting anhydrous ethanol using 10 Beagle dogs.Laboratory indexes before and after modeling were compared.Liver ultrasound was performed 2,4 and 8 weeks after modeling,respectively,while intravascular ultrasound(IVUS)and digital subtracting angiography(DSA)were performed after the last time ultrasound to observe the obstruction degree,lumen and blood flow of left hepatic vein(LHV).The stenosis rate of LHV was evaluated based on DSA findings,and successful establishment of HV obstruction type BCS canine model was regarded as stenosis rate＞30%and incomplete occlusion of LHV,then the success rate of modeling was recorded.Results No significant difference of laboratory indexes was found before and after modeling(all P＞0.05).Ultrasound,IVUS and DSA showed that after modeling,different degrees of LHV stenosis complicated with intrahepatic collateral circulation were found in 9 dogs,while complete occlusion of LHV was noticed in 1 dog.The success rate of modeling was 90.00%(9/10).Pathological results showed the target HV lumen narrow with thickened endovascular wall,and the latter mainly composed of fibroblast and collagen fiber proliferation.Conclusion Endovascular intervention technology was feasible for constructing canine models of HV obstruction type BCS.

Objective To explore the feasibility of endovascular intervention technology for constructing canine models of hepatic vein(HV)obstruction type Budd-Chiari syndrome(BCS).Methods HV obstruction type BCS models were established through double approaches including external jugular vein and percutaneous transhepatic vein puncture,blocking the main HV with double balloon and injecting anhydrous ethanol using 10 Beagle dogs.Laboratory indexes before and after modeling were compared.Liver ultrasound was performed 2,4 and 8 weeks after modeling,respectively,while intravascular ultrasound(IVUS)and digital subtracting angiography(DSA)were performed after the last time ultrasound to observe the obstruction degree,lumen and blood flow of left hepatic vein(LHV).The stenosis rate of LHV was evaluated based on DSA findings,and successful establishment of HV obstruction type BCS canine model was regarded as stenosis rate＞30%and incomplete occlusion of LHV,then the success rate of modeling was recorded.Results No significant difference of laboratory indexes was found before and after modeling(all P＞0.05).Ultrasound,IVUS and DSA showed that after modeling,different degrees of LHV stenosis complicated with intrahepatic collateral circulation were found in 9 dogs,while complete occlusion of LHV was noticed in 1 dog.The success rate of modeling was 90.00%(9/10).Pathological results showed the target HV lumen narrow with thickened endovascular wall,and the latter mainly composed of fibroblast and collagen fiber proliferation.Conclusion Endovascular intervention technology was feasible for constructing canine models of HV obstruction type BCS.

OBJECTIVE: The intelligent infusion management system is established through intelligent internet of things, by using the gravity sensor, acceleration sensor and other equipment. METHODS: Establish an infusion management platform based on B/S architecture. Combined with the intelligent terminal and get the major values, including:the infusion speed, the remaining liquid and so on. Besides, it can integrate with the HIS, EMR and PDA. RESULTS: It has solved the data collection of the whole infusion process, realized the real-time visualization during the infusion, and improved the quality of nursing management. CONCLUSIONS In the paper, it has been used in wards more than 2 years, which has reduced the workload of the infusion and improved the satisfaction of patients. At the same time, it has provided the infusion big data collection and statistics for the research and auxiliary treatment.
Hospitals ; Humans ; Internet ; Materials Management, Hospital