Literature DB >> 31335193

A Review of Predictive Low Glucose Suspend and Its Effectiveness in Preventing Nocturnal Hypoglycemia.

Ethan Chen1, Fraya King1, Michael A Kohn2, Elias K Spanakis3,4, Marc Breton5, David C Klonoff1.   

Abstract

To evaluate the effectiveness of predictive low glucose suspend (PLGS) systems within sensor-augmented insulin infusion pumps at preventing nocturnal hypoglycemia in patients with type 1 diabetes (DM1), we performed a systematic review and meta-analysis of randomized crossover trials. Pubmed and Google Scholar were searched for randomized crossover trials, published between January 2013 and July 2018, in nonpregnant outpatients with DM1, which compared event rates during PLGS overnight periods and non-PLGS overnight periods. The primary outcome was the proportion of overnight periods with one or more hypoglycemic measurement. When available, individual patient data were used to assess the effect of clustering measurements within patients. Four studies (272 patients, 10,735 patient-nights: 5422 PLGS and 5313 non-PLGS) were included in the meta-analysis. Two studies reported patient-level data that permitted assessment of the effect of clustering measurements within patients. The effect on the risk difference was minimal. The proportion of overnight periods with one or more episodes of hypoglycemia was 19.6% for the PLGS periods and 27.8% for the non-PLGS periods. Based on the pooled estimate, PLGS overnight periods were associated with an 8.8% lower risk of hypoglycemia (risk difference -0.088; 95% CI -0.119 to -0.056, I2 = 67.4%, τ2 = 0.0006, 4 studies). PLGS systems can reduce nocturnal hypoglycemic events in patients with DM1.

Entities:  

Keywords:  Continuous glucose monitor; Hypoglycemia; Insulin pump; Low glucose suspend; Sensor-augmented pump

Mesh:

Substances:

Year:  2019        PMID: 31335193     DOI: 10.1089/dia.2019.0119

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  8 in total

1.  Glycemic Outcomes of Use of CLC Versus PLGS in Type 1 Diabetes: A Randomized Controlled Trial.

Authors:  Sue A Brown; Roy W Beck; Dan Raghinaru; Bruce A Buckingham; Lori M Laffel; R Paul Wadwa; Yogish C Kudva; Carol J Levy; Jordan E Pinsker; Eyal Dassau; Francis J Doyle; Louise Ambler-Osborn; Stacey M Anderson; Mei Mei Church; Laya Ekhlaspour; Gregory P Forlenza; Camilla Levister; Vinaya Simha; Marc D Breton; Craig Kollman; John W Lum; Boris P Kovatchev
Journal:  Diabetes Care       Date:  2020-05-29       Impact factor: 19.112

Review 2.  Closed-Loop Insulin Delivery Systems: Past, Present, and Future Directions.

Authors:  Sophie Templer
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-06       Impact factor: 6.055

3.  Clinical Implementation of the Omnipod 5 Automated Insulin Delivery System: Key Considerations for Training and Onboarding People With Diabetes.

Authors:  Cari Berget; Jennifer L Sherr; Daniel J DeSalvo; Ryan S Kingman; Sheri L Stone; Sue A Brown; Alex Nguyen; Leslie Barrett; Trang T Ly; Gregory P Forlenza
Journal:  Clin Diabetes       Date:  2022-04-15

4.  Effect of Continuous Glucose Monitoring on Hypoglycemia in Older Adults With Type 1 Diabetes: A Randomized Clinical Trial.

Authors:  Richard E Pratley; Lauren G Kanapka; Michael R Rickels; Andrew Ahmann; Grazia Aleppo; Roy Beck; Anuj Bhargava; Bruce W Bode; Anders Carlson; Naomi S Chaytor; D Steven Fox; Robin Goland; Irl B Hirsch; Davida Kruger; Yogish C Kudva; Carol Levy; Janet B McGill; Anne Peters; Louis Philipson; Athena Philis-Tsimikas; Rodica Pop-Busui; Viral N Shah; Michael Thompson; Francesco Vendrame; Alandra Verdejo; Ruth S Weinstock; Laura Young; Kellee M Miller
Journal:  JAMA       Date:  2020-06-16       Impact factor: 56.272

Review 5.  Technology in the management of type 2 diabetes: Present status and future prospects.

Authors:  Aideen Daly; Roman Hovorka
Journal:  Diabetes Obes Metab       Date:  2021-05-20       Impact factor: 6.408

6.  A Machine Learning Approach to Minimize Nocturnal Hypoglycemic Events in Type 1 Diabetic Patients under Multiple Doses of Insulin.

Authors:  Adrià Parcerisas; Ivan Contreras; Alexia Delecourt; Arthur Bertachi; Aleix Beneyto; Ignacio Conget; Clara Viñals; Marga Giménez; Josep Vehi
Journal:  Sensors (Basel)       Date:  2022-02-21       Impact factor: 3.576

7.  Machine Learning Models for Nocturnal Hypoglycemia Prediction in Hospitalized Patients with Type 1 Diabetes.

Authors:  Vladimir B Berikov; Olga A Kutnenko; Julia F Semenova; Vadim V Klimontov
Journal:  J Pers Med       Date:  2022-07-31

8.  Prediction of Nocturnal Hypoglycemia in Adults with Type 1 Diabetes under Multiple Daily Injections Using Continuous Glucose Monitoring and Physical Activity Monitor.

Authors:  Arthur Bertachi; Clara Viñals; Lyvia Biagi; Ivan Contreras; Josep Vehí; Ignacio Conget; Marga Giménez
Journal:  Sensors (Basel)       Date:  2020-03-19       Impact factor: 3.576

  8 in total

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