Imperial College London

Professor Pantelis Georgiou

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Professor of Biomedical Electronics
 
 
 
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Contact

 

+44 (0)20 7594 6326pantelis Website

 
 
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Location

 

902Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Liu:2020:10.1177/1932296819851135,
author = {Liu, C and Avari, P and Leal, Y and Wos, M and Sivasithamparam, K and Georgiou, P and Reddy, M and Fernández-Real, JM and Martin, C and Fernández-Balsells, M and Oliver, N and Herrero, P},
doi = {10.1177/1932296819851135},
journal = {Journal of Diabetes Science and Technology},
pages = {87--96},
title = {A modular safety system for an insulin dose recommender: a feasibility study.},
url = {http://dx.doi.org/10.1177/1932296819851135},
volume = {14},
year = {2020}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - BACKGROUND: Delivering insulin in type 1 diabetes is a challenging, and potentially risky, activity; hence the importance of including safety measures as part of any insulin dosing or recommender system. This work presents and clinically evaluates a modular safety system that is part of an intelligent insulin dose recommender platform developed within the EU-funded PEPPER project. METHODS: The proposed safety system is composed of four modules which use a novel glucose forecasting algorithm. These modules are predictive glucose alerts and alarms; a predictive low-glucose basal insulin suspension module; an advanced rescue carbohydrate recommender for resolving hypoglycemia; and a personalized safety constraint applied to insulin recommendations. The technical feasibility of the proposed safety system was evaluated in a pilot study including eight adult subjects with type 1 diabetes on multiple daily injections over a duration of six weeks. Glycemic control and safety system functioning were compared between the two-weeks run-in period and the end point at eight weeks. A standard insulin bolus calculator was employed to recommend insulin doses. RESULTS: Overall, glycemic control improved over the evaluated period. In particular, percentage time in the hypoglycemia range (<3.0 mmol/l) significantly decreased from 0.82% (0.05-4.79) at run-in to 0.33% (0.00-0.93) at endpoint ( P = .02). This was associated with a significant increase in percentage time in target range (3.9-10.0 mmol/l) from 52.8% (38.3-61.5) to 61.3% (47.5-71.7) ( P = .03). There was also a reduction in number of carbohydrate recommendations. CONCLUSION: A safety system for an insulin dose recommender has been proven to be a viable solution to reduce the number of adverse events associated to glucose control in type 1 diabetes.
AU - Liu,C
AU - Avari,P
AU - Leal,Y
AU - Wos,M
AU - Sivasithamparam,K
AU - Georgiou,P
AU - Reddy,M
AU - Fernández-Real,JM
AU - Martin,C
AU - Fernández-Balsells,M
AU - Oliver,N
AU - Herrero,P
DO - 10.1177/1932296819851135
EP - 96
PY - 2020///
SN - 1932-2968
SP - 87
TI - A modular safety system for an insulin dose recommender: a feasibility study.
T2 - Journal of Diabetes Science and Technology
UR - http://dx.doi.org/10.1177/1932296819851135
UR - https://www.ncbi.nlm.nih.gov/pubmed/31117804
UR - http://hdl.handle.net/10044/1/71349
VL - 14
ER -