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Outpatient Randomized Crossover Comparison of Zone Model Predictive Control Automated Insulin Delivery with Weekly Data Driven Adaptation Versus Sensor-Augmented Pump: Results from the International Diabetes Closed-Loop Trial 4.
Pinsker, Jordan E; Dassau, Eyal; Deshpande, Sunil; Raghinaru, Dan; Buckingham, Bruce A; Kudva, Yogish C; Laffel, Lori M; Levy, Carol J; Church, Mei Mei; Desrochers, Hannah; Ekhlaspour, Laya; Kaur, Ravinder Jeet; Levister, Camilla; Shi, Dawei; Lum, John W; Kollman, Craig; Doyle, Francis J.
Afiliación
  • Pinsker JE; Sansum Diabetes Research Institute, Santa Barbara, California, USA.
  • Dassau E; Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA.
  • Deshpande S; Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA.
  • Raghinaru D; Jaeb Center for Health Research, Tampa, Florida, USA.
  • Buckingham BA; Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA.
  • Kudva YC; Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Laffel LM; Research Division, Joslin Diabetes Center and Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA.
  • Levy CJ; Division of Endocrinology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Church MM; Sansum Diabetes Research Institute, Santa Barbara, California, USA.
  • Desrochers H; Research Division, Joslin Diabetes Center and Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA.
  • Ekhlaspour L; Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA.
  • Kaur RJ; Division of Endocrinology, Diabetes, Metabolism and Nutrition, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Levister C; Division of Endocrinology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Shi D; Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA.
  • Lum JW; Jaeb Center for Health Research, Tampa, Florida, USA.
  • Kollman C; Jaeb Center for Health Research, Tampa, Florida, USA.
  • Doyle FJ; Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA.
Diabetes Technol Ther ; 24(9): 635-642, 2022 09.
Article en En | MEDLINE | ID: mdl-35549708
ABSTRACT

Background:

Automated insulin delivery (AID) systems have proven effective in increasing time-in-range during both clinical trials and real-world use. Further improvements in outcomes for single-hormone (insulin only) AID may be limited by suboptimal insulin delivery settings.

Methods:

Adults (≥18 years of age) with type 1 diabetes were randomized to either sensor-augmented pump (SAP) (inclusive of predictive low-glucose suspend) or adaptive zone model predictive control AID for 13 weeks, then crossed over to the other arm. Each week, the AID insulin delivery settings were sequentially and automatically updated by an adaptation system running on the study phone. Primary outcome was sensor glucose time-in-range 70-180 mg/dL, with noninferiority in percent time below 54 mg/dL as a hierarchical outcome.

Results:

Thirty-five participants completed the trial (mean age 39 ± 16 years, HbA1c at enrollment 6.9% ± 1.0%). Mean time-in-range 70-180 mg/dL was 66% with SAP versus 69% with AID (mean adjusted difference +2% [95% confidence interval -1% to +6%], P = 0.22). Median time <70 mg/dL improved from 3.0% with SAP to 1.6% with AID (-1.5% [-2.4% to -0.5%], P = 0.002). The adaptation system decreased initial basal rates by a median of 4% (-8%, 16%) and increased initial carbohydrate ratios by a median of 45% (32%, 59%) after 13 weeks.

Conclusions:

Automated adaptation of insulin delivery settings with AID use did not significantly improve time-in-range in this very well-controlled population. Additional study and further refinement of the adaptation system are needed, especially in populations with differing degrees of baseline glycemic control, who may show larger benefits from adaptation.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Diabetes Mellitus Tipo 1 / Insulina Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Adult / Humans / Middle aged / Newborn Idioma: En Revista: Diabetes Technol Ther Asunto de la revista: ENDOCRINOLOGIA / TERAPEUTICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Diabetes Mellitus Tipo 1 / Insulina Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Adult / Humans / Middle aged / Newborn Idioma: En Revista: Diabetes Technol Ther Asunto de la revista: ENDOCRINOLOGIA / TERAPEUTICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos