Novel Inpatient Automated Self-Adjusting Subcutaneous Insulin Algorithm: 3-Year Experience. An Observational Study - Takeaways - MDSpire

Novel Inpatient Automated Self-Adjusting Subcutaneous Insulin Algorithm: 3-Year Experience. An Observational Study

  • By

  • Robert J Rushakoff

  • Esther Rov-Ikpah

  • Gwendolyn Lee

  • Paras B Mehta

  • Craig San Luis

  • Craig Johnson

  • Suneil Koliwad

  • Cynthia Fenton

  • Michael A Kohn

  • June 24, 2025

  • 0 min

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  • 1

    The automated self-adjusting subcutaneous insulin algorithm (SQIA) significantly improved glycemic control in hospitalized patients compared to conventional insulin treatment.

  • 2

    Patients on SQIA experienced lower rates of hypoglycemia (0.65%) and severe hyperglycemia (5.40%) compared to those on conventional insulin (1.10% and 6.65%, respectively).

  • 3

    The SQIA was particularly effective in patients receiving high-dose glucocorticoids, showing an 11.1% reduction in severe hyperglycemia rates.

  • 4

    The study analyzed data from 5031 intervals across 4310 hospitalizations over three years, demonstrating the SQIA's effectiveness in diverse inpatient settings.

  • 5

    Implementation of the SQIA reduced the number of physician orders by over 12 times compared to conventional insulin, enhancing efficiency in diabetes management.

Original Source(s)

Novel Inpatient Automated Self-Adjusting Subcutaneous Insulin Algorithm: 3-Year Experience. An Observational Study

  • by Robert J Rushakoff, Esther Rov-Ikpah, Gwendolyn Lee, Paras B Mehta, Craig San Luis, Craig Johnson, Suneil Koliwad, Cynthia Fenton, Michael A Kohn

  • June 24, 2025

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