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Trial to Investigate the in Silico Optimization of Insulin Treatments

A Feasibility Randomized Control Trial to Investigate the in Silico Optimization of Insulin Treatments

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03895138
Enrollment
35
Registered
2019-03-29
Start date
2018-03-19
Completion date
2019-04-30
Last updated
2019-03-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Coronary Artery Bypass

Brief summary

The primary objective of this study is to assess the performance of an in silico designed alternative protocol for control of stress hyperglycemia of inpatients treated for Coronary Artery Bypass Graft (CABG) or valve replacement surgery in the University of Virginia cardiothoracic ICU.

Detailed description

The hypothesis of the study is that settings for the Glucommander protocol can be optimized in silico to achieve statistically improved low blood glucose index (LBGI) within the subpopulation of CABG and valve replacement patients who both receive Glucommander-based insulin therapy and meet Manufacturer's guidelines for starting with an initial multiplier value of .052, without risking clinically significant increase in exposure to hyperglycemia.

Interventions

OTHERStandard Glucommander Protocol (SGP)

Subjects receive standard Glucommander-based insulin therapy from the clinical staff of U.Va.'s cardiothoracic ICU and follow manufacturer's guidelines for starting with an initial multiplier value of .05.

OTHEROptimized Glucommander (OGM)

The experimental arm of the study involves treating subjects with a lower initial multiplier (.02 versus .05), a higher set of BG thresholds (140-180 mg/dl vs 120-160) in the first eight (8) hours of care for avoidance of hypoglycemia in that time period, and a requirement for consistent hourly-or-faster sampling of BG (as opposed to the Glucommander recommendation which is dependent on the trajectory of BG and can sometimes allow intervals of two hours between samples). After the eight (8) hours, the Glucommander is set back to the standard protocol for the entire duration of the subject's post-operative hospital stay.

Sponsors

National Institute for Biomedical Imaging and Bioengineering (NIBIB)
CollaboratorNIH
University of Virginia
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
NONE

Intervention model description

Subjects with CABG or open heart valve surgery will be enrolled in the study. They will be randomized to receive one of the following treatments: 1. Standard Glucommander Protocol (SGP) 2. Optimized Glucommander (OGM)

Eligibility

Sex/Gender
ALL
Age
40 Years to 75 Years
Healthy volunteers
No

Inclusion criteria

1. Patients admitted for CABG and/or open heart valve surgery 2. Must have a 0.05 initial multiplier setting for the Glucommander based on the manufacturers recommendations 3. Age of 40-75, inclusive

Exclusion criteria

1. History of severe hypoglycemia within six months of hospital admission 2. Currently undergoing dialysis or renal replacement therapy 3. Women of childbearing potential 4. Patients with endocarditis needing valve replacement 5. Participation in another clinical trial at the time of screening.

Design outcomes

Primary

MeasureTime frameDescription
Exposure to risk of hypoglycemia24 hours of post-operative hospital stayExposure to risk of hypoglycemia as measured by the Low Blood Glucose Index (LBGI).

Secondary

MeasureTime frameDescription
Exposure to risk of hypoglycemia48 hours of post-operative hospital stayExposure to risk of hypoglycemia as measured by the Low Blood Glucose Index (LBGI).

Countries

United States

Contacts

Primary ContactAnna Buhle
ab7ga@virginia.edu4349898257
Backup Contactleon farhi, PhD
leon@virginia.edu4342966583

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026