OBJECTIVE The Pediatric Artificial Pancreas (PedArPan) project tested a children-specific version of the modular model predictive control (MMPC) algorithm in 5- to 9-year old children during a camp. RESEARCH DESIGN AND METHODS A total of 30 children, 5- to 9-years old, with type 1 diabetes completed an outpatient, open-label, randomized, crossover trial. Three days with an artificial pancreas (AP) were compared with three days of parent-managed sensor-augmented pump (SAP). RESULTS Overnight time-in-hypoglycemia was reduced with the AP versus SAP, median (25th–75th percentiles): 0.0% (0.0–2.2) vs. 2.2% (0.0–12.3) (P = 0.002), without a significant change of time-in-target, mean: 56.0% (SD 22.5%) vs. 59.7% (21.2%) (P = 0.430), but with increased mean glucose 173 mg/dL (SD 36) vs. 150 mg/dL (SD 39) (P = 0.002). Overall, the AP granted a threefold reduction of time-in-hypoglycemia (P < 0.001) at the cost of decreased time-in-target, 56.8% (SD 13.5) vs. 63.1% (SD 11.0) (P = 0.022) and increased mean glucose 169 mg/dL (SD 23) vs. 147 mg/dL (SD 23) (P < 0.001). CONCLUSIONS This trial, the first outpatient single-hormone AP trial in a population of this age, shows feasibility and safety of MMPC in young children. Algorithm retuning will be performed to improve efficacy.
28 June 2023 in Diabetes Technology & Therapeutics
Glycemia risk index (GRI) is a novel composite metric for the evaluation of the safety of glycemic management and control. The aim of this study was to evaluate GRI and its correlations with continuous glucose monitoring (CGM) metrics by analyzing real-life CGM data in 1067 children/adolescents with type 1 diabetes (T1D) using four different treatment strategies (intermittently scanned CGM [isCGM]-multiple daily injections [MDIs]; real-time CGM-MDIs; rtCGM-insulin pump; hybrid closed-loop [HCL] therapy). GRI was positively correlated with high blood glucose index, low blood glucose index, mean glycemia, its standard deviation, coefficient of variation, and HbA1c. The four treatment strategy groups showed significantly different GRI with the lowest value in the HCL group (30.8) and the highest in the isCGM-MDIs group (68.4). These findings support the use of GRI for the assessment of the glycemic risk and the safety of specific treatment in pediatric subjects with T1D.
OBJECTIVE: To explore the experiences of children with type 1 diabetes and their parents taking part in an artificial pancreas (AP) clinical trial during a 7-day summer camp. RESEARCH DESIGN AND METHODS: A semistructured interview, composed of 14 questions based on the Technology Acceptance Model, was conducted at the end of the clinical trial. Participants also completed the Diabetes Treatment Satisfaction Questionnaire (DTSQ, parent version) and the AP Acceptance Questionnaire. RESULTS: Thirty children, aged 5–9 years, and their parents completed the study. A content analysis of the interviews showed that parents were focused on understanding the mechanisms, risks, and benefits of the new device, whereas the children were focused on the novelty of the new system. The parents’ main concerns about adopting the new system seemed related to the quality of glucose control. The mean scores of DTSQ subscales indicated general parents’ satisfaction (44.24 ± 5.99, range 32–53) and trustful views of diabetes control provided by the new system (7.8 ± 2.2, range 3–12). The AP Acceptance Questionnaire revealed that most parents considered the AP easy to use (70.5%), intended to use it long term (94.0%), and felt that it was apt to improve glucose control (67.0%). CONCLUSIONS: Participants manifested a positive attitude toward the AP. Further studies are required to explore participants’ perceptions early in the AP development to individualize the new treatment as much as possible, and to tailor it to respond to their needs and values.