Document Detail


First use of model predictive control in outpatient wearable artificial pancreas.
MedLine Citation:
PMID:  24757228     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
OBJECTIVE Inpatient studies suggest that model predictive control (MPC) is one of the most promising algorithms for artificial pancreas (AP). So far, outpatient trials have used hypo/hyperglycemia-mitigation or medical-expert systems. In this study, we report the first wearable AP outpatient study based on MPC and investigate specifically its ability to control postprandial glucose, one of the major challenges in glucose control. RESEARCH DESIGN AND METHODS A new modular MPC algorithm has been designed focusing on meal control. Six type 1 diabetes mellitus patients underwent 42-h experiments: sensor-augmented pump therapy in the first 14 h (open-loop) and closed-loop in the remaining 28 h. RESULTS MPC showed satisfactory dinner control versus open-loop: time-in-target (70-180 mg/dL) 94.83 vs. 68.2% and time-in-hypo 1.25 vs. 11.9%. Overnight control was also satisfactory: time-in-target 89.4 vs. 85.0% and time-in-hypo: 0.00 vs. 8.19%. CONCLUSIONS This outpatient study confirms inpatient evidence of suitability of MPC-based strategies for AP. These encouraging results pave the way to randomized crossover outpatient studies.
Authors:
Simone Del Favero; Daniela Bruttomesso; Federico Di Palma; Giordano Lanzola; Roberto Visentin; Alessio Filippi; Rachele Scotton; Chiara Toffanin; Mirko Messori; Stefania Scarpellini; Patrick Keith-Hynes; Boris P Kovatchev; J Hans Devries; Eric Renard; Lalo Magni; Angelo Avogaro; Claudio Cobelli;
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Diabetes care     Volume:  37     ISSN:  1935-5548     ISO Abbreviation:  Diabetes Care     Publication Date:  2014 May 
Date Detail:
Created Date:  2014-04-23     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7805975     Medline TA:  Diabetes Care     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1212-5     Citation Subset:  IM    
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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