Your browser doesn't support javascript.
loading
Clinical Evaluation of a Novel CGM-Informed Bolus Calculator with Automatic Glucose Trend Adjustment.
Pinsker, Jordan E; Church, Mei Mei; Brown, Sue A; Voelmle, Mary K; Bode, Bruce W; Narron, Brooke; Huyett, Lauren M; Lee, Joon Bok; O'Connor, Jason; Benjamin, Eric; Dumais, Bonnie; Ly, Trang T.
Afiliação
  • Pinsker JE; Sansum Diabetes Research Institute, Santa Barbara, California, USA.
  • Church MM; Results of this study were presented in abstract form at the 14th International Conference on Advanced Technologies & Treatments for Diabetes, June 2021.
  • Brown SA; Sansum Diabetes Research Institute, Santa Barbara, California, USA.
  • Voelmle MK; Results of this study were presented in abstract form at the 14th International Conference on Advanced Technologies & Treatments for Diabetes, June 2021.
  • Bode BW; Division of Endocrinology, Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia, USA.
  • Narron B; Results of this study were presented in abstract form at the 14th International Conference on Advanced Technologies & Treatments for Diabetes, June 2021.
  • Huyett LM; Division of Endocrinology, Center for Diabetes Technology, University of Virginia, Charlottesville, Virginia, USA.
  • Lee JB; Results of this study were presented in abstract form at the 14th International Conference on Advanced Technologies & Treatments for Diabetes, June 2021.
  • O'Connor J; Atlanta Diabetes Associates, Atlanta, Georgia, USA.
  • Benjamin E; Results of this study were presented in abstract form at the 14th International Conference on Advanced Technologies & Treatments for Diabetes, June 2021.
  • Dumais B; Atlanta Diabetes Associates, Atlanta, Georgia, USA.
  • Ly TT; Results of this study were presented in abstract form at the 14th International Conference on Advanced Technologies & Treatments for Diabetes, June 2021.
Diabetes Technol Ther ; 24(1): 18-25, 2022 01.
Article em En | MEDLINE | ID: mdl-34491825
ABSTRACT

Background:

Expert opinion guidelines and limited data from clinical trials recommend adjustment to bolus insulin doses based on continuous glucose monitor (CGM) trend data, yet minimal evidence exists to support this approach. We performed a clinical evaluation of a novel CGM-informed bolus calculator (CIBC) with automatic insulin bolus dose adjustment based on CGM trend used with sensor-augmented pump therapy. Materials and

Methods:

In this multicenter, outpatient study, participants 6-70 years of age with type 1 diabetes (T1D) used the Omnipod® 5 System in Manual Mode, first for 7 days without a connected CGM (standard bolus calculator, SBC, phase 1) and then for 7 days with a connected CGM using the CIBC (CIBC phase 2). The integrated bolus calculator used stored pump settings plus user-estimated meal size and/or either a manually entered capillary glucose value (SBC phase) or an imported current CGM value and trend (CIBC phase) to recommend a bolus amount. The CIBC automatically increased or decreased the suggested bolus amount based on the CGM trend.

Results:

Twenty-five participants, (mean ± standard deviation) 27 ± 15 years of age, with T1D duration 12 ± 9 years and A1C 7.0% ± 0.9% completed the study. There were significantly fewer sensor readings <70 mg/dL 4 h postbolus with the CIBC compared to the SBC (2.1% ± 2.0% vs. 2.8 ± 2.7, P = 0.03), while percent of sensor readings >180 and 70-180 mg/dL remained the same. There was no difference in insulin use or number of boluses given between the two phases.

Conclusion:

The CIBC was safe when used with the Omnipod 5 System in Manual Mode, with fewer hypoglycemic readings in the postbolus period compared to the SBC. This trial was registered at ClinicalTrials.gov (NCT04320069).
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 1 / Glucose Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 1 / Glucose Idioma: En Ano de publicação: 2022 Tipo de documento: Article