Open-Source Automated Insulin Delivery in Type 1 Diabetes

In this randomized trial, an open-source automated insulin delivery system controlled glucose time-in-range values significantly better than sensor-augmented insulin-pump therapy.

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Bibliographische Detailangaben
Veröffentlicht in:	The New England journal of medicine 2022-09, Vol.387 (10), p.869-881
Hauptverfasser:	Burnside, Mercedes J., Lewis, Dana M., Crocket, Hamish R., Meier, Renee A., Williman, Jonathan A., Sanders, Olivia J., Jefferies, Craig A., Faherty, Ann M., Paul, Ryan G., Lever, Claire S., Price, Sarah K.J., Frewen, Carla M., Jones, Shirley D., Gunn, Tim C., Lampey, Christina, Wheeler, Benjamin J., de Bock, Martin I.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Adolescent Medicine Adult Age Aged Algorithms Allergy Australia Autoimmune Disease Autoimmune diseases Automation Blood Glucose - analysis Child Childhood Diseases Children Clinical Medicine Clinical trials Diabetes Diabetes mellitus (insulin dependent) Diabetes Mellitus, Type 1 - blood Diabetes Mellitus, Type 1 - drug therapy Diabetic ketoacidosis Endocrinology Glucose monitoring Hemoglobin Humans Hypoglycemia Hypoglycemic Agents - administration & dosage Immunology Infusion Pumps Insulin Insulin - administration & dosage Ketoacidosis Middle Aged Outpatient-Based Clinical Medicine Patients Pediatrics Pediatrics General Regulatory approval Sensors Smartphones Teenagers Young Adult
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Beschreibung
Zusammenfassung:	In this randomized trial, an open-source automated insulin delivery system controlled glucose time-in-range values significantly better than sensor-augmented insulin-pump therapy.
ISSN:	0028-4793 1533-4406
DOI:	10.1056/NEJMoa2203913