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There is limited evidence supporting the recommendation that drivers with insulin-treated diabetes need to start journeys with glucose90 mg/dL. Glucose levels of drivers with type 1 diabetes were monitored for 3 weeks using masked continuous glucose monitoring (CGM). Eighteen drivers (median [IQR] age 40 [35, 51] years; 11 men) undertook 475 trips (duration 15 [13, 21] min). Hypoglycemia did not occur in any trip starting with glucose90 mg/dL (92%

Background: This prerandomization analysis from the Australian HCL-Adult trial (registration number: ACTRN12617000520336) compared masked continuous glucose monitoring (CGM) metrics among adults using insulin pumps versus multiple daily injections (MDIs), who were all self-monitoring blood glucose (SMBG). Methods: Adults with type 1 diabetes, using an insulin pump or MDIs without real-time CGM (and entering a trial of closed-loop technology), were eligible. MDI users were given an insulin dosage calculator. All participants received diabetes and carbohydrate-counting education, then wore masked CGM sensors for 3 weeks. Ethics Approval: HREC-D 088/16 Results: Adults using MDIs (n = 61) versus pump (n = 59) did not differ by age, sex, diabetes duration, insulin total daily dose, or HbA1c at baseline. After education, median (interquartile range) CGM time in range (TIR) 70-180 mg/dL (3.9-10.0 mmol/L) was 54% (47, 62) for those using MDIs and 56% (48, 66) for those using pump (P = 0.40). All CGM metrics were equivalent for 24 h/day for MDI and pump users. Overnight, those using MDIs (vs. pump) spent more time with glucose

We compared glycemia, treatment satisfaction, sleep quality, and cognition using a nighttime Android-based hybrid closed-loop system (Android-HCLS) with sensor-augmented pump with low-glucose suspend function (SAP-LGS) in people with type 1 diabetes.An open-label, prospective, randomized crossover study of 16 adults (mean [SD] age 42.1 [9.6] years) and 12 adolescents (15.2 [1.6] years) was conducted. All participants completed four consecutive nights at home with Android-HCLS (proportional integral derivative with insulin feedback algorithm; Medtronic) and SAP-LGS.percent continuous glucose monitoring (CGM) time (00:00-08:00 h) within target range (72-144 mg/dL). Secondary endpoints: percent CGM time above target (144 mg/dL); below target (72 mg/dL); glycemic variability (SD); symptomatic hypoglycemia; adult treatment satisfaction; sleep quality; and cognitive function.The primary outcome for all participants was not statistically different between Android-HCLS and SAP-LGS (mean [SD] 59.4 [17.9]% vs. 53.1 [18]%; p = 0.14). Adults had greater percent time within target range (57.7 [18.6]% vs. 44.5 [14.5]%; p 0.006); less time above target (42.0 [18.7]% vs. 52.6 [16.5]%; p = 0.034); lower glycemic variability (35 [10.7] mg/dL vs. 46 [10.7] mg/dL; p = 0.003); and less (median [IQR]) time below target (0.0 [0.0-0.4]% vs. 0.80 [0.0-3.9]%; p = 0.025). In adolescents, time below target was lower with Android-HCLS vs. SAP-LGS (0.0 [0.0-0.0]% vs. 1.8 [0.1-7.9]%; p = 0.011). Nocturnal symptomatic hypoglycemia was less (1 vs. 10; p = 0.007) in adolescents, but not adults (5 vs. 13; p = 0.059). In adults, treatment satisfaction increased by 10 points (p 0.02). Sleep quality and cognition did not differ.Android-HCLS in both adults and adolescents reduced nocturnal hypoglycemia and, in adults, improved overnight time in target range and treatment satisfaction compared with SAP-LGS.