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Safety and Feasibility Evaluation of Automated User Profile Settings Initialization and Adaptation With Control-IQ Technology.
Shah, Viral N; Akturk, Halis K; Trahan, Alex; Piquette, Nicole; Wheatcroft, Alex; Schertz, Elain; Carmello, Karen; Mueller, Lars; White, Kirstin; Fu, Larry; Sassan-Katchalski, Ravid; Messer, Laurel H; Habif, Steph; Constantin, Alex; Pinsker, Jordan E.
Afiliación
  • Shah VN; Barbara Davis Center for Diabetes, University of Colorado, Aurora, CO, USA.
  • Akturk HK; Barbara Davis Center for Diabetes, University of Colorado, Aurora, CO, USA.
  • Trahan A; Tandem Diabetes Care, San Diego, CA, USA.
  • Piquette N; Tandem Diabetes Care, San Diego, CA, USA.
  • Wheatcroft A; Tandem Diabetes Care, San Diego, CA, USA.
  • Schertz E; Tandem Diabetes Care, San Diego, CA, USA.
  • Carmello K; Tandem Diabetes Care, San Diego, CA, USA.
  • Mueller L; Tandem Diabetes Care, San Diego, CA, USA.
  • White K; Tandem Diabetes Care, San Diego, CA, USA.
  • Fu L; Tandem Diabetes Care, San Diego, CA, USA.
  • Sassan-Katchalski R; Tandem Diabetes Care, San Diego, CA, USA.
  • Messer LH; Tandem Diabetes Care, San Diego, CA, USA.
  • Habif S; Tandem Diabetes Care, San Diego, CA, USA.
  • Constantin A; Tandem Diabetes Care, San Diego, CA, USA.
  • Pinsker JE; Tandem Diabetes Care, San Diego, CA, USA.
J Diabetes Sci Technol ; : 19322968241229074, 2024 Feb 07.
Article en En | MEDLINE | ID: mdl-38323362
ABSTRACT

BACKGROUND:

Optimization of automated insulin delivery (AID) settings is required to achieve desirable glycemic outcomes. We evaluated safety and efficacy of a computerized system to initialize and adjust insulin delivery settings for the tslim X2 insulin pump with Control-IQ technology in adults with type 1 diabetes (T1D).

METHODS:

After a 2-week continuous glucose monitoring (CGM) run-in period, adults with T1D using multiple daily injections (MDI) (N = 33, mean age 36.1 years, 57.6% female, diabetes duration 19.7 years) were transitioned to 13 weeks of Control-IQ technology usage. A computerized algorithm generated recommendations for initial pump settings (basal rate, insulin-to-carbohydrate ratio, and correction factor) and weekly follow-up settings to optimize glycemic outcomes. Physicians could override the automated settings changes for safety concerns.

RESULTS:

Time in range 70 to 180 mg/dL improved from 45.7% during run-in to 69.1% during the last 30 days of Control-IQ use, a median improvement of 18.8% (95% confidence interval [CI] 13.6-23.9, P < .001). This improvement was evident early in the study and was sustained over 13 weeks. Time <70 mg/dL showed a gradual decreasing trend over time. Percentage of participants achieving HbA1c <7% went from zero at baseline to 55% at study end (P < .001). Only six of the 318 automated settings adaptations (1.9%) were overridden by study investigators.

CONCLUSIONS:

Computerized initiation and adaptation of Control-IQ technology settings from baseline MDI therapy was safe in adults with T1D. The use of this simplified system for onboarding and optimizing Control-IQ technology may be useful to increase uptake of AID and reduce staff and patient burden in clinical care.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: J Diabetes Sci Technol Asunto de la revista: ENDOCRINOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: J Diabetes Sci Technol Asunto de la revista: ENDOCRINOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos