Manual Closed-Loop Insulin Delivery Using a Saddle Point Model Predictive Control Algorithm: Results of a Crossover Randomized Overnight Study. (September 2017)
- Record Type:
- Journal Article
- Title:
- Manual Closed-Loop Insulin Delivery Using a Saddle Point Model Predictive Control Algorithm: Results of a Crossover Randomized Overnight Study. (September 2017)
- Main Title:
- Manual Closed-Loop Insulin Delivery Using a Saddle Point Model Predictive Control Algorithm: Results of a Crossover Randomized Overnight Study
- Authors:
- Guilhem, Isabelle
Penet, Maxime
Paillard, Anaïs
Carpentier, Marc
Esvant, Annabelle
Lefebvre, Marie-Anne
Poirier, Jean-Yves - Abstract:
- Background: The purpose was to assess the efficacy of a new closed-loop algorithm (Saddle Point Model Predictive Control, SP-MPC) in achieving nocturnal normoglycemia while reducing the risk of hypoglycemia in patients with type 1 diabetes. Method: In this randomized crossover study, 10 adult patients (mean hemoglobin A1c 7.35 ± 1.04%) were assigned to be treated overnight by open loop using sensor-augmented pump therapy (open-loop SAP) or manual closed-loop delivery. During closed loop, insulin doses were calculated using the SP-MPC algorithm and administered as manual boluses every 15 minutes from 9:00pm to 8:00am . Patients consumed a self-selected meal (65-125 g of carbohydrates) at 7:00pm accompanied by their usual prandial bolus. Blood glucose was measured every 30 minutes. The primary endpoints were the time spent in target (70-145 mg/dl) and time spent below 70 mg/dl from 11:00pm to 8:00am . Results: Time spent in target did not differ between closed-loop and open-loop SAP. The number of hypoglycemic events (<70 mg/dl) was reduced 2.8-fold in closed loop (n = 5, median = 0/patient/hour; interquartile range: 0-0.11) as compared to open-loop SAP (n = 14, median = 0.22/patient/hour, 0.02-0.22) ( P = .02). The area under the curve for sensor glucose values >145 mg/dl was significantly lower during closed-loop than during open-loop SAP ( P = .03) as well as HBGI ( P = .02). Conclusions: This pilot study suggests that the use of the SP-MPC algorithm may improve meanBackground: The purpose was to assess the efficacy of a new closed-loop algorithm (Saddle Point Model Predictive Control, SP-MPC) in achieving nocturnal normoglycemia while reducing the risk of hypoglycemia in patients with type 1 diabetes. Method: In this randomized crossover study, 10 adult patients (mean hemoglobin A1c 7.35 ± 1.04%) were assigned to be treated overnight by open loop using sensor-augmented pump therapy (open-loop SAP) or manual closed-loop delivery. During closed loop, insulin doses were calculated using the SP-MPC algorithm and administered as manual boluses every 15 minutes from 9:00pm to 8:00am . Patients consumed a self-selected meal (65-125 g of carbohydrates) at 7:00pm accompanied by their usual prandial bolus. Blood glucose was measured every 30 minutes. The primary endpoints were the time spent in target (70-145 mg/dl) and time spent below 70 mg/dl from 11:00pm to 8:00am . Results: Time spent in target did not differ between closed-loop and open-loop SAP. The number of hypoglycemic events (<70 mg/dl) was reduced 2.8-fold in closed loop (n = 5, median = 0/patient/hour; interquartile range: 0-0.11) as compared to open-loop SAP (n = 14, median = 0.22/patient/hour, 0.02-0.22) ( P = .02). The area under the curve for sensor glucose values >145 mg/dl was significantly lower during closed-loop than during open-loop SAP ( P = .03) as well as HBGI ( P = .02). Conclusions: This pilot study suggests that the use of the SP-MPC algorithm may improve mean overnight glucose control and reduce the number of hypoglycemic events as compared to SAP therapy. … (more)
- Is Part Of:
- Journal of diabetes science and technology. Volume 11:Number 5(2017:Sep.)
- Journal:
- Journal of diabetes science and technology
- Issue:
- Volume 11:Number 5(2017:Sep.)
- Issue Display:
- Volume 11, Issue 5 (2017)
- Year:
- 2017
- Volume:
- 11
- Issue:
- 5
- Issue Sort Value:
- 2017-0011-0005-0000
- Page Start:
- 1007
- Page End:
- 1014
- Publication Date:
- 2017-09
- Subjects:
- artificial pancreas -- closed loop -- model predictive control -- sensor-augmented pump therapy -- type 1 diabetes
Diabetes -- Periodicals
Medical technology -- Periodicals
Diabetes Mellitus -- Periodicals
616.462005 - Journal URLs:
- http://ejournals.ebsco.com/direct.asp?JournalID=712321 ↗
http://www.jodsat.org/about.html ↗
http://online.sagepub.com/ ↗ - DOI:
- 10.1177/1932296817717503 ↗
- Languages:
- English
- ISSNs:
- 1932-2968
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8251.xml