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1.
Diabetes Care ; 44(11): 2582-2585, 2021 11.
Article in English | MEDLINE | ID: mdl-34518377

ABSTRACT

OBJECTIVE: To determine whether the bihormonal bionic pancreas (BHBP) improves glycemic control and reduces hypoglycemia in individuals with congenital hyperinsulinism (HI) and postpancreatectomy diabetes (PPD) compared with usual care (UC). RESEARCH DESIGN AND METHODS: Ten subjects with HI and PPD completed this open-label, crossover pilot study. Coprimary outcomes were mean glucose concentration and time with continuous glucose monitoring (CGM) glucose concentration <3.3 mmol/L. RESULTS: Mean (SD) CGM glucose concentration was 8.3 (0.7) mmol/L in the BHBP period versus 9 (1.8) mmol/L in the UC period (P = 0.13). Mean (SD) time with CGM glucose concentration <3.3 mmol/L was 0% (0.002) in the BHBP period vs. 1.3% (0.018) in the UC period (P = 0.11). CONCLUSIONS: Relative to UC, the BHBP resulted in comparable glycemic control in our population.


Subject(s)
Diabetes Mellitus, Type 1 , Hyperinsulinism , Hypoglycemia , Bionics , Blood Glucose , Blood Glucose Self-Monitoring/methods , Cross-Over Studies , Glycemic Control , Humans , Hypoglycemic Agents , Insulin , Pancreas , Pilot Projects
2.
Diabetes Care ; 39(7): 1175-9, 2016 Jul.
Article in English | MEDLINE | ID: mdl-27330126

ABSTRACT

Research on and commercial development of the artificial pancreas (AP) continue to progress rapidly, and the AP promises to become a part of clinical care. In this report, members of the JDRF Artificial Pancreas Project Consortium in collaboration with the wider AP community 1) advocate for the use of continuous glucose monitoring glucose metrics as outcome measures in AP trials, in addition to HbA1c, and 2) identify a short set of basic, easily interpreted outcome measures to be reported in AP studies whenever feasible. Consensus on a broader range of measures remains challenging; therefore, reporting of additional metrics is encouraged as appropriate for individual AP studies or study groups. Greater consistency in reporting of basic outcome measures may facilitate the interpretation of study results by investigators, regulatory bodies, health care providers, payers, and patients themselves, thereby accelerating the widespread adoption of AP technology to improve the lives of people with type 1 diabetes.


Subject(s)
Diabetes Mellitus, Type 1/therapy , Outcome Assessment, Health Care/methods , Pancreas, Artificial , Blood Glucose/metabolism , Clinical Trials as Topic , Consensus , Diabetes Mellitus, Type 1/blood , Glycated Hemoglobin/analysis , Humans
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