Novel Automated Self-adjusting Subcutaneous Insulin Algorithm Improves Glycemic Control and Physician Efficiency in Hospitalized Patients
Authors' conclusion
The SQIA reduced severe hyperglycemia, hypoglycemia, and severe hypoglycemia compared with conventional insulin dosing. It also improved physician efficiency by reducing the number of order modifications a physician had to place.
Study context
- Population
- Hospitalized patients on nil per os, continuous total parenteral nutrition or continuous tube feeding, University of California San Francisco hospitals, September 2020–September 2021
- Exposure
- Automated self-adjusting subcutaneous insulin algorithm (SQIA) vs conventional, physician-driven insulin dosing
- Outcome
- Proportion of glucose in range (70-180 mg/dL)
Main finding
As reported in the abstract
P = 0.153
Observational data: associations, not effects.
Further findings
Severe hyperglycemia (>250 mg/dL) events
P = 0.017
Physician efficiency: insulin orders placed or modified
- Number of orders a physician had to place reduced with SQIA vs conventional dosing by a factor of
- more than 12
Safety
Hypoglycemia (54-69 mg/dL) events
P = 0.029
Severe hypoglycemia (<54 mg/dL) events
P = 0.076
Original publication
Novel Automated Self-adjusting Subcutaneous Insulin Algorithm Improves Glycemic Control and Physician Efficiency in Hospitalized Patients. J Diabetes Sci Technol. Published 7 March 2024. doi:10.
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