Literature DB >> 30089663

Predictive Low-Glucose Suspend Reduces Hypoglycemia in Adults, Adolescents, and Children With Type 1 Diabetes in an At-Home Randomized Crossover Study: Results of the PROLOG Trial.

Gregory P Forlenza1, Zoey Li2, Bruce A Buckingham3, Jordan E Pinsker4, Eda Cengiz5, R Paul Wadwa1, Laya Ekhlaspour3, Mei Mei Church4, Stuart A Weinzimer5, Emily Jost1, Tatiana Marcal3, Camille Andre4, Lori Carria5, Vance Swanson6, John W Lum7, Craig Kollman2, William Woodall2, Roy W Beck2.   

Abstract

OBJECTIVE: This study evaluated a new insulin delivery system designed to reduce insulin delivery when trends in continuous glucose monitoring (CGM) glucose concentrations predict future hypoglycemia. RESEARCH DESIGN AND METHODS: Individuals with type 1 diabetes (n = 103, age 6-72 years, mean HbA1c 7.3% [56 mmol/mol]) participated in a 6-week randomized crossover trial to evaluate the efficacy and safety of a Tandem Diabetes Care t:slim X2 pump with Basal-IQ integrated with a Dexcom G5 sensor and a predictive low-glucose suspend algorithm (PLGS) compared with sensor-augmented pump (SAP) therapy. The primary outcome was CGM-measured time <70 mg/dL.
RESULTS: Both study periods were completed by 99% of participants; median CGM usage exceeded 90% in both arms. Median time <70 mg/dL was reduced from 3.6% at baseline to 2.6% during the 3-week period in the PLGS arm compared with 3.2% in the SAP arm (difference [PLGS - SAP] = -0.8%, 95% CI -1.1 to -0.5, P < 0.001). The corresponding mean values were 4.4%, 3.1%, and 4.5%, respectively, represent-ing a 31% reduction in the time <70 mg/dL with PLGS. There was no increase in mean glucose concentration (159 vs. 159 mg/dL, P = 0.40) or percentage of time spent >180 mg/dL (32% vs. 33%, P = 0.12). One severe hypoglycemic event occurred in the SAP arm and none in the PLGS arm. Mean pump suspension time was 104 min/day.
CONCLUSIONS: The Tandem Diabetes Care Basal-IQ PLGS system significantly reduced hypoglycemia without rebound hyperglycemia, indicating that the system can benefit adults and youth with type 1 diabetes in improving glycemic control.
© 2018 by the American Diabetes Association.

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Year:  2018        PMID: 30089663     DOI: 10.2337/dc18-0771

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  60 in total

1.  A Review of Continuous Glucose Monitoring Data Interpretation in the Age of Automated Insulin Delivery.

Authors:  Laya Ekhlaspour; Ideen Tabatabai; Bruce Buckingham
Journal:  J Diabetes Sci Technol       Date:  2019-05-26

2.  Six-Month Randomized, Multicenter Trial of Closed-Loop Control in Type 1 Diabetes.

Authors:  Sue A Brown; Boris P Kovatchev; Dan Raghinaru; John W Lum; Bruce A Buckingham; Yogish C Kudva; Lori M Laffel; Carol J Levy; Jordan E Pinsker; R Paul Wadwa; Eyal Dassau; Francis J Doyle; Stacey M Anderson; Mei Mei Church; Vikash Dadlani; Laya Ekhlaspour; Gregory P Forlenza; Elvira Isganaitis; David W Lam; Craig Kollman; Roy W Beck
Journal:  N Engl J Med       Date:  2019-10-16       Impact factor: 91.245

Review 3.  Benefits and Challenges of Diabetes Technology Use in Older Adults.

Authors:  Elena Toschi; Medha N Munshi
Journal:  Endocrinol Metab Clin North Am       Date:  2019-11-18       Impact factor: 4.741

4.  Use of Artificial Intelligence to Improve Diabetes Outcomes in Patients Using Multiple Daily Injections Therapy.

Authors:  Gregory P Forlenza
Journal:  Diabetes Technol Ther       Date:  2019-06       Impact factor: 6.118

5.  A Clinical Guide to Advanced Diabetes Devices and Closed-Loop Systems Using the CARES Paradigm.

Authors:  Laurel H Messer; Cari Berget; Gregory P Forlenza
Journal:  Diabetes Technol Ther       Date:  2019-05-29       Impact factor: 6.118

6.  A Clinical Overview of Insulin Pump Therapy for the Management of Diabetes: Past, Present, and Future of Intensive Therapy.

Authors:  Cari Berget; Laurel H Messer; Gregory P Forlenza
Journal:  Diabetes Spectr       Date:  2019-08

7.  Real-World Hypoglycemia Avoidance With a Predictive Low Glucose Alert Does Not Depend on Frequent Screen Views.

Authors:  Sarah Puhr; Mark Derdzinski; Andrew Scott Parker; John B Welsh; David A Price
Journal:  J Diabetes Sci Technol       Date:  2019-04-03

8.  A Modular Safety System for an Insulin Dose Recommender: A Feasibility Study.

Authors:  Chengyuan Liu; Parizad Avari; Yenny Leal; Marzena Wos; Kumuthine Sivasithamparam; Pantelis Georgiou; Monika Reddy; José Manuel Fernández-Real; Clare Martin; Mercedes Fernández-Balsells; Nick Oliver; Pau Herrero
Journal:  J Diabetes Sci Technol       Date:  2019-05-22

9.  Modern diabetes devices in the school setting: Perspectives from school nurses.

Authors:  Christine A March; Michelle Nanni; Traci M Kazmerski; Linda M Siminerio; Elizabeth Miller; Ingrid M Libman
Journal:  Pediatr Diabetes       Date:  2020-04-22       Impact factor: 4.866

10.  MiniMed 670G hybrid closed loop artificial pancreas system for the treatment of type 1 diabetes mellitus: overview of its safety and efficacy.

Authors:  Aria Saunders; Laurel H Messer; Gregory P Forlenza
Journal:  Expert Rev Med Devices       Date:  2019-09-30       Impact factor: 3.166

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