Safety and effectiveness of a computerized Subcutaneous insulin program to treat inpatient hyperglycemia

Rattan Juneja, Adam A. Golas, Joni Carroll, Deborah Nelson, Victor J. Abad, Corbin P. Roudebush, Samuel J. Flanders

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


Background: This proof of concept study was designed to evaluate the safety and effectiveness of a computerized insulin program, the Clarian GlucoStabilizer" Subcutaneous Insulin Program (CGS-SQ). This paper discusses the CGS-SQ's impact on the glycemic control of hospitalized patients with hyperglycemia. Methods: Patients at Methodist and Indiana University Hospitals requiring subcutaneous insulin were treated using the CGS-SQ. This program calculates subcutaneous bolus insulin doses based on the current blood glucose (BG), using an insulin sensitivity factor, the number of grams of carbohydrates eaten, and an insulin-to-carbohydrate ratio, with a goal of maintaining the patient's BG in a prespecified target range. The target range, insulin sensitivity factor, and insulin-to-carbohydrate ratio are established by the physician. Results: From April 2006 to September 2007, the CGS-SQ treated 1772 patients at Methodist and Indiana University Hospitals, with 46,575 BGs in its database. For these patients, the average BG was 158.3 mg/dl, 40.5% percent of BGs were in the default target range of 100-150 mg/dl, and 69.8% were in the wider range of 70-180 mg/dl. The hypoglycemia (BG <40 mg/dl) rate was 0.18%. Conclusions: The CGS-SQ provided a means to deliver insulin in a standardized manner, resulting in satisfactory BG control with a low hypoglycemia rate, thus serving as a tool for safe and effective insulin therapy for hospitalized patients.

Original languageEnglish (US)
Pages (from-to)384-391
Number of pages8
JournalJournal of Diabetes Science and Technology
Issue number3
StatePublished - May 2008


  • Computers
  • Diabetes
  • Dosing
  • Hyperglycemia
  • Insulin
  • Protocol
  • Subcutaneous

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Internal Medicine
  • Bioengineering
  • Biomedical Engineering

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