Abstract
Background:
Basal insulin titration in the real world is often unsuccessful. LTHome, a web tool, applies a rules engine-based algorithm providing insulin titration advice directly to the patient.
Methods:
This pilot, randomized trial evaluates basal insulin glargine titration by LTHome compared to enhanced usual therapy ([EUT]—diabetes education program) over 12 weeks. Important inclusion criteria: 18–75 years, type 2 diabetes, computer literacy, and HbA1c >7.0%. Trial protocol was approved by ethics board.
Results:
We randomized 139 subjects. The achievement of primary composite outcome (four out of seven fasting plasma glucose [FPG] within 5–7.2 mmol/L + mean for three consecutive FPG within 5–7.2 mmol/L + no severe hypoglycemia) was 15% in LTHome versus 41% in EUT (noninferiority not met, P-value = 0.92). Other outcomes were similar between the LTHome and EUT arms: alternate composite outcome achievement (last five FPG mean within the range of 5–7.2 mmol/L + no hypoglycemia, 47% and 51%, P = 0.73); A1c reduction (−1.0% and −1.1%, P = 0.66); proportion achieving A1c ≤7% (14% and 20%, P = 0.36); and hypoglycemia incidence (31% and 37%, P = 0.4), respectively. Patient satisfaction score improvements were greater in LTHome versus EUT (change in fear of hypoglycemia score P = 0.04 and change in diabetes distress score P = 0.04). The mean number of additional healthcare provider visits was 0.13 for LTHome and 1.22 for EUT (P < 0.01).
Conclusion:
INNOVATE trial suggests clinical utility of LTHome compared to EUT in real-life settings. Further research is needed to evaluate the efficacy and safety of automated insulin titration algorithms.
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