insulin infusion protocol
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Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 873-P
Author(s):  
DIANA ATHONVARANGKUL ◽  
LEIGH B. BAK ◽  
CINDY ZHENG ◽  
JULIE D’AMBROSI ◽  
JONATHAN SINER ◽  
...  

2021 ◽  
pp. bmjqs-2020-011420
Author(s):  
Michael A Rosen ◽  
Mark Romig ◽  
Zoe Demko ◽  
Noah Barasch ◽  
Cynthia Dwyer ◽  
...  

ObjectiveTo compare the insulin infusion management of critically ill patients by nurses using either a common standard (ie, human completion of insulin infusion protocol steps) or smart agent (SA) system that integrates the electronic health record and infusion pump and automates insulin dose selection.DesignA within subjects design where participants completed 12 simulation scenarios, in 4 blocks of 3 scenarios each. Each block was performed with either the manual standard or the SA system. The initial starting condition was randomised to manual standard or SA and alternated thereafter.SettingA simulation-based human factors evaluation conducted at a large academic medical centre.SubjectsTwenty critical care nurses.InterventionsA systems engineering intervention, the SA, for insulin infusion management.MeasurementsThe primary study outcomes were error rates and task completion times. Secondary study outcomes were perceived workload, trust in automation and system usability, all measured with previously validated scales.Main resultsThe SA system produced significantly fewer dose errors compared with manual calculation (17% (n=20) vs 0, p<0.001). Participants were significantly faster, completing the protocol using the SA system (p<0.001). Overall ratings of workload for the SA system were significantly lower than with the manual system (p<0.001). For trust ratings, there was a significant interaction between time (first or second exposure) and the system used, such that after their second exposure to the two systems, participants had significantly more trust in the SA system. Participants rated the usability of the SA system significantly higher than the manual system (p<0.001).ConclusionsA systems engineering approach jointly optimised safety, efficiency and workload considerations.


2020 ◽  
Author(s):  
Nan Liu ◽  
Wei Zou ◽  
Ying Xing ◽  
Xi Zhang ◽  
Bin Song ◽  
...  

ABSTRACTGlucose production (GP) and glucose disposal (Rd) are two decisive and fundamental parameters in glucose turnover and in glucose homeostasis regulation. In conventional theory, GP and Rd were responsive to regulatory factors respectively and independently of each other. Even though GP and Rd responded in reverse to insulin, GP for suppression and Rd for elevation, these inverse alterations used to be attributed to insulin multiple functions both on hepatic GP, directly or indirectly, and on whole-body glucose Rd. However, in the present study, we found GP and Rd were inversely coupled intrinsically no matter which side was the target of insulin by comparison of Rd and GP data pairs between peripheral vein insulin infusion protocol and portal vein insulin infusion protocol in rats. Furthermore, neither circulating NEFA nor HFD induced resistance broke the GP-Rd inverse coupling, but both of them reduced the responses of both GP and Rd to insulin. In conclusion, we provide the evidence that GP and Rd are two coupled parameters in vivo and they alter in reverse simultaneously, the mechanism under which needs further investigation but we tend to believe an inter-organ neural reflex was involved.


2020 ◽  
Vol 48 (1) ◽  
pp. 630-630
Author(s):  
Daniela Sanabria Candia ◽  
Sergio Prieto Garces ◽  
Juan Estrada Maya ◽  
Andres Jaramillo Nieto ◽  
Yenny Cardenas

2020 ◽  
Vol 53 (2) ◽  
pp. 15964-15969
Author(s):  
Jihan Zukhi ◽  
Fatanah M. Suhaimi ◽  
Mohd Zulfakar Mazlan ◽  
Ummu K. Jamaludin ◽  
Normy Razak ◽  
...  

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