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Refining Insulin on Board with netIOB for Automated Insulin Delivery.
Riddell, Michael C; Lewis, Dana M; Turner, Lauren V; Lal, Rayhan A; Shahid, Arsalan; Zaharieva, Dessi P.
Afiliação
  • Riddell MC; School of Kinesiology & Health Science, Muscle Health Research Centre, York University, Toronto, ON, Canada.
  • Lewis DM; OpenAPS, Seattle, WA, USA.
  • Turner LV; School of Kinesiology & Health Science, Muscle Health Research Centre, York University, Toronto, ON, Canada.
  • Lal RA; Stanford Diabetes Research Center, Stanford, CA, USA.
  • Shahid A; CeADAR-Ireland's Centre for Applied AI, University College Dublin, Dublin, Ireland.
  • Zaharieva DP; Division of Endocrinology, Department of Pediatrics, School of Medicine, Stanford University, Stanford, CA, USA.
J Diabetes Sci Technol ; : 19322968241267820, 2024 Aug 14.
Article em En | MEDLINE | ID: mdl-39143692
ABSTRACT
Automated insulin delivery (AID) systems enhance glucose management by lowering mean glucose level, reducing hyperglycemia, and minimizing hypoglycemia. One feature of most AID systems is that they allow the user to view "insulin on board" (IOB) to help confirm a recent bolus and limit insulin stacking. This metric, along with viewing glucose concentrations from a continuous glucose monitoring system, helps the user understand bolus insulin action and the future "threat" of hypoglycemia. However, the current presentation of IOB in AID systems can be misleading, as it does not reflect true insulin action or automatic, dynamic insulin adjustments. This commentary examines the evolution of IOB from a bolus-specific metric to its contemporary use in AID systems, highlighting its limitations in capturing real-time insulin modulation during varying physiological states.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Diabetes Sci Technol Assunto da revista: ENDOCRINOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Diabetes Sci Technol Assunto da revista: ENDOCRINOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Canadá
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