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Joubert M, Briant AR, Kessler L, Fall-Mostaine F, Dubois S, Guerci B, Schoumacker-Ley L, Reznik Y, Parienti JJ. Sensor-Augmented Insulin Pump with Predictive Low-Glucose Suspend (PLGS): Determining Optimal Settings of Pump and Sensor in a Multicenter Cohort of Patients with Type 1 Diabetes. Diabetes Ther 2022; 13:1645-1657. [PMID: 35913656 PMCID: PMC9399327 DOI: 10.1007/s13300-022-01302-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 07/14/2022] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION The use of predictive low-glucose suspend (PLGS) sensor-augmented pumps has been shown to lead to a significant reduction in hypoglycemic episodes in patients with type 1 diabetes (T1D), but their effects on hyperglycemia exposure are heterogeneous. The aim of this study was to determine the settings of the Medtronic 640G system to obtain the optimal balance between occurrence of both hypoglycemia and hyperglycemia. METHODS The hypo- and hyperglycemia area under the curve (AUC), as well as system settings [hypoglycemic threshold, mean insulin total daily dose (TDD), mean basal insulin percentage, and mean daily duration of PLGS] were collected between 2 and 12 times during 1 year in patients from four university hospital centers. Univariate/multivariate analyses and receiver operating characteristics (ROC) curves were performed to determine factors associated with hyper- and hypoglycemia AUC. RESULTS A total of 864 observations were analyzed from 110 patients with T1D. Two preselected settings predictive of low hyperglycemia AUC were a basal insulin percentage < 52.0% [sensitivity (Se) = 0.66 and specificity (Sp) = 0.53] and a PLGS duration > 157.5 min/day (Se = 0.47 and Sp = 0.73). The preselected setting predictive of a low hypoglycemia AUC was a PLGS duration ≤ 174.4 min (Se = 0.83 and Sp = 0.51). Between-visit variation of PLGS and TDD was positively correlated (r = 0.61; p < 0.0001). CONCLUSION The most important Medtronic 640G setting was the mean daily PLGS duration, where a value between 157.5 and 174.4 min/day was associated with the best reduction in both hypo- and hyperglycemia AUC. In this study, we showed that PLGS duration could be indirectly modified through total daily insulin dose adaptation. TRIAL REGISTRATION This study is registered in clinicaltrials.gov (NCT03047486).
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Affiliation(s)
- Michael Joubert
- Diabetes Care Unit, Caen University Hospital, 14033, Caen cedex 09, France.
- UNICAEN, University of Caen, Caen, France.
| | - Anaïs R Briant
- Biostatistics Unit, Caen University Hospital, Caen, France
| | - Laurence Kessler
- Diabetes Care Unit, Strasbourg University Hospital, Strasbourg, France
| | | | - Severine Dubois
- Diabetes Care Unit, Angers University Hospital, Angers, France
| | - Bruno Guerci
- Diabetes Care Unit, Nancy University Hospital, Nancy, France
| | | | - Yves Reznik
- Diabetes Care Unit, Caen University Hospital, 14033, Caen cedex 09, France
- UNICAEN, University of Caen, Caen, France
| | - Jean-Jacques Parienti
- UNICAEN, University of Caen, Caen, France
- Biostatistics Unit, Caen University Hospital, Caen, France
- INSERM UMR 1311, UNICAEN, Caen, France
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Pinsker JE, Bartee A, Katz M, Lalonde A, Jones R, Dassau E, Wolpert H. Predictive Low-Glucose Suspend Necessitates Less Carbohydrate Supplementation to Rescue Hypoglycemia: Need to Revisit Current Hypoglycemia Treatment Guidelines. Diabetes Technol Ther 2021; 23:512-516. [PMID: 33535013 PMCID: PMC8252907 DOI: 10.1089/dia.2020.0619] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Current guidelines recommend 15-20 g of carbohydrate (CHO) for treatment of mild to moderate hypoglycemia. However, these guidelines do not account for reduced insulin during suspensions with predictive low-glucose suspend (PLGS). We assessed insulin suspensions, hypoglycemic events, and CHO treatment during a 20-h inpatient evaluation of an investigational system with a PLGS feature, including an overnight basal up-titration period to activate the PLGS. Among 10 adults with type 1 diabetes, there were 59 suspensions; 7 suspensions were associated with rescue CHO and 5 with hypoglycemia. Rescue treatment consisted of median 9 g CHO (range: 5-16 g), with no events requiring repeat CHO. No rescue CHO were given during or after insulin suspension for the overnight basal up-titration. To minimize rebound hyperglycemia and needless calorie intake from hypoglycemia overtreatment, updated guidance for PLGS systems should reflect possible need to reduce CHO amounts for hypoglycemia rescue associated with an insulin suspension. The clinical trial was registered with ClinicalTrials.gov (NCT03890003).
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Affiliation(s)
- Jordan E. Pinsker
- Sansum Diabetes Research Institute, Santa Barbara, California, USA
- Address correspondence to: Jordan E. Pinsker, MD, Sansum Diabetes Research Institute, 2219 Bath Street, Santa Barbara, CA 93105, USA
| | - Amy Bartee
- Eli Lilly and Company, Indianapolis, Indiana, USA
| | | | - Amy Lalonde
- Eli Lilly and Company, Indianapolis, Indiana, USA
| | | | - Eyal Dassau
- Eli Lilly and Company, Cambridge, Massachusetts, USA
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Avari P, Leal Y, Herrero P, Wos M, Jugnee N, Arnoriaga-Rodríguez M, Thomas M, Liu C, Massana Q, Lopez B, Nita L, Martin C, Fernández-Real JM, Oliver N, Fernández-Balsells M, Reddy M. Safety and Feasibility of the PEPPER Adaptive Bolus Advisor and Safety System: A Randomized Control Study. Diabetes Technol Ther 2021; 23:175-186. [PMID: 33048581 DOI: 10.1089/dia.2020.0301] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background: The Patient Empowerment through Predictive Personalized Decision Support (PEPPER) system provides personalized bolus advice for people with type 1 diabetes. The system incorporates an adaptive insulin recommender system (based on case-based reasoning, an artificial intelligence methodology), coupled with a safety system, which includes predictive glucose alerts and alarms, predictive low-glucose suspend, personalized carbohydrate recommendations, and dynamic bolus insulin constraint. We evaluated the safety and efficacy of the PEPPER system compared to a standard bolus calculator. Methods: This was an open-labeled multicenter randomized controlled crossover study. Following 4-week run-in, participants were randomized to PEPPER/Control or Control/PEPPER in a 1:1 ratio for 12 weeks. Participants then crossed over after a washout period. The primary end-point was percentage time in range (TIR, 3.9-10.0 mmol/L [70-180 mg/dL]). Secondary outcomes included glycemic variability, quality of life, and outcomes on the safety system and insulin recommender. Results: Fifty-four participants on multiple daily injections (MDI) or insulin pump completed the run-in period, making up the intention-to-treat analysis. Median (interquartile range) age was 41.5 (32.3-49.8) years, diabetes duration 21.0 (11.5-26.0) years, and HbA1c 61.0 (58.0-66.1) mmol/mol. No significant difference was observed for percentage TIR between the PEPPER and Control groups (62.5 [52.1-67.8] % vs. 58.4 [49.6-64.3] %, respectively, P = 0.27). For quality of life, participants reported higher perceived hypoglycemia with the PEPPER system despite no objective difference in time spent in hypoglycemia. Conclusions: The PEPPER system was safe, but did not change glycemic outcomes, compared to control. There is wide scope for integrating PEPPER into routine diabetes management for pump and MDI users. Further studies are required to confirm overall effectiveness. Clinical trial registration: ClinicalTrials.gov NCT03849755.
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Affiliation(s)
- Parizad Avari
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Yenny Leal
- Diabetes, Endocrinology and Nutrition Unit, Hospital Universitari Dr. Josep Trueta, Institut d'Investigació Biomèdica de Girona, Girona, Spain
| | - Pau Herrero
- Department of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom
| | - Marzena Wos
- Diabetes, Endocrinology and Nutrition Unit, Hospital Universitari Dr. Josep Trueta, Institut d'Investigació Biomèdica de Girona, Girona, Spain
| | - Narvada Jugnee
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - María Arnoriaga-Rodríguez
- Diabetes, Endocrinology and Nutrition Unit, Hospital Universitari Dr. Josep Trueta, Institut d'Investigació Biomèdica de Girona, Girona, Spain
| | - Maria Thomas
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Chengyuan Liu
- Department of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom
- Centre for Aerospace Manufactuiring, University of Nottingham, London, United Kingdom
| | - Quim Massana
- eXiT Research Group, Institut d'Informàtica i Aplicacions, University of Girona, Girona, Spain
| | - Beatriz Lopez
- eXiT Research Group, Institut d'Informàtica i Aplicacions, University of Girona, Girona, Spain
| | - Lucian Nita
- Department of Research & Development, RomSoft SRL, Iasi, Romania
| | - Clare Martin
- School of Engineering, Computing, and Mathematics, Oxford Brookes University, Oxford, United Kingdom
| | - José Manuel Fernández-Real
- Diabetes, Endocrinology and Nutrition Unit, Hospital Universitari Dr. Josep Trueta, Institut d'Investigació Biomèdica de Girona, Girona, Spain
- Department of Medical Sciences, Faculty of Medicine, University of Girona, Girona, Spain
- CIBEROBN Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Nick Oliver
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Mercè Fernández-Balsells
- Diabetes, Endocrinology and Nutrition Unit, Hospital Universitari Dr. Josep Trueta, Institut d'Investigació Biomèdica de Girona, Girona, Spain
| | - Monika Reddy
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
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Beato-Víbora PI, Quirós-López C, Lázaro-Martín L, Martín-Frías M, Barrio-Castellanos R, Gil-Poch E, Arroyo-Díez FJ, Giménez-Álvarez M. Impact of Sensor-Augmented Pump Therapy with Predictive Low-Glucose Suspend Function on Glycemic Control and Patient Satisfaction in Adults and Children with Type 1 Diabetes. Diabetes Technol Ther 2018; 20:738-743. [PMID: 30256132 DOI: 10.1089/dia.2018.0199] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
AIMS The aim was to evaluate the effectiveness of sensor-augmented pump therapy with predictive low-glucose suspend function (SAP-PLGS) in real-world use in children and adults with type 1 diabetes (T1D). METHODS Patients with T1D treated with the MiniMed 640G® pump with PLGS function at three referral hospitals were retrospectively evaluated. HbA1c at baseline and at 6, 12, 18, and 24 months was analyzed. Two weeks of data from pumps, sensors, and/or glucose meters were downloaded. Patients completed satisfaction questionnaires at the last follow-up visit. RESULTS A total of 162 patients were included. Mean age was 32 ± 17 years, 28% were (n = 46) children, and 29% (n = 47) were with a history of severe hypoglycemia. Median follow-up was 12 months (6-18). HbA1c was reduced from 55 ± 9 to 54 ± 8 mmol/mol (7.2% ± 0.8% to 7.1% ± 0.7%) at 12 months (P < 0.03, n = 100). In patients with suboptimal control, there was a reduction in HbA1c from 66% ± 7% to 61 ± 10 mmol/mol (8.2% ± 0.6% to 7.7% ± 0.9%) at the end of follow-up (n = 26, P < 0.01). Three percent (n = 5) of the patients experienced severe hypoglycemia during follow-up. A reduction in the percentage of self-monitoring of blood glucose values <70 mg/dL was achieved (10% ± 7% to 6% ± 5%, P = 0.001, n = 144). Time in range 70-180 mg/dL was 67% ± 13% at the end of follow-up and predictors of a higher time in range were identified. The use of sensors was high (86%) and 73% of the patients showed high satisfaction. In patients using sensors at baseline (n = 54), the time spent at <54 and <70 mg/dL was reduced. CONCLUSION SAP-PLGS reduces hypoglycemia frequency while maintaining glycemic control in adults and children under real-life conditions.
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Affiliation(s)
| | | | | | - María Martín-Frías
- 3 Paediatric Diabetes Unit, Ramón y Cajal University Hospital , Madrid, Spain
| | | | - Estela Gil-Poch
- 4 Department of Paediatrics, Badajoz University Hospital , Badajoz, Spain
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Gómez AM, Henao DC, Imitola A, Muñoz OM, Sepúlveda MAR, Kattah L, Guerrero JS, Morros E, Llano JP, Jaramillo MG, León-Vargas F. Efficacy and safety of sensor-augmented pump therapy (SAPT) with predictive low-glucose management in patients diagnosed with type 1 diabetes mellitus previously treated with SAPT and low glucose suspend. ACTA ACUST UNITED AC 2018; 65:451-457. [PMID: 29914817 DOI: 10.1016/j.endinu.2018.03.009] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2017] [Revised: 03/12/2018] [Accepted: 03/25/2018] [Indexed: 11/18/2022]
Abstract
BACKGROUND Sensor-augmented insulin pump therapy (SAPT) with low-glucose suspend (LGS) is an effective and safe alternative for treating patients with type 1 diabetes mellitus (T1DM). New predictive low-glucose management (PLGM) systems decrease the severity and duration of hypoglycemic events. However, evidence of benefits in patients previously treated with SAPT-LGS is limited. METHODS A prospective before-after study was conducted in patients with T1DM treated with SAPT-LGS, who were switched to the Minimed® 640G system with SmartGuard® to assess the impact on A1c levels, severe hypoglycemia (SH), hypoglycemia unawareness (HU), and area under the curve (AUC) <70mg/dL after three months of follow-up. RESULTS Fifty-five patients with T1DM with a mean age of 37.9 (IQR 6, 79) years and a mean baseline A1c level of 7.52±1.11% were enrolled. After three months under PLGM, A1c levels significantly decreased to 7.18±0.91% (p=0.004). SH rate decreased from 2.47 (CI 0.44, 4.90) to 0.87 (CI 0.22, 1.52) events/patient-year (Incidence rate ratio 0.353, 95% CI 0.178, 0.637), AUC <70mg/dL decreased from 0.59±0.76 to 0.35±0.65mg/dL x minute (p=0.030). HU determined by Clarke questionnaire resolved in 23 out of 30 patients (p=0.002). CONCLUSIONS This study suggests that SAPT with PLGM decreases the frequency of SH, HU, exposure to glucose levels below 70mg/dL, and A1c levels. Based on these results, this therapy should be considered in T1DM patients previously treated with SAPT-LGS with persistent SH and HU. Further clinical trials comparing the efficacy and safety of these features are required.
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Affiliation(s)
- Ana María Gómez
- Pontificia Universidad Javeriana, Bogotá, Colombia; Endocrinology Unit, Hospital Universitario San Ignacio, Bogotá, Colombia.
| | | | - Angelica Imitola
- Pontificia Universidad Javeriana, Bogotá, Colombia; Endocrinology Unit, Hospital Universitario San Ignacio, Bogotá, Colombia
| | - Oscar Mauricio Muñoz
- Pontificia Universidad Javeriana, Bogotá, Colombia; Endocrinology Unit, Hospital Universitario San Ignacio, Bogotá, Colombia; Department of Clinical Epidemiology, Pontificia Universidad Javeriana, Colombia
| | | | - Laura Kattah
- Pontificia Universidad Javeriana, Bogotá, Colombia; Endocrinology Unit, Hospital Universitario San Ignacio, Bogotá, Colombia
| | | | - Elly Morros
- Pontificia Universidad Javeriana, Bogotá, Colombia
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