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CompletedNCT01763567MAHIUpdated May 7, 2015Results posted

Feasibility Study to Evaluate Safety and Device Performance of the Hospital Glucose Management System (HGMS)

An observational study in Hyperglycemia, sponsored by Medtronic Diabetes. Completed at 1 site in United States. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2015-05-07.

Sponsored by Medtronic Diabetes · Observational

Study type
Observational
Time perspective
Prospective
Enrollment
19
Ages
18 Years and older
Sex
All
01

Study summary

The purpose of this study is to assess safety and device performance of the Medtronic Hospital Glucose Management System (HGMS) for up to 72-hours.

Read the detailed description

Assess safety and device performance of the Medtronic HGMS in the critically-ill setting and analyze the following:

  1. Device Performance:

    • Functionality of HGMS
    • Alerts/Alarms Specificity and Sensitivity
    • System Workflow
  2. Safety:

    • Descriptive statistics will be used to characterize safety events
    • Moderate and severe anticipated device and procedure related adverse events
    • All serious adverse events and unanticipated adverse device effects related events
02

Conditions studied

  • Hyperglycemia

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Keywords

  • Medtronic
  • Diabetes
  • Hospital
  • Continuous Glucose Monitor
  • Intensive Care Unit
03

In context

Hyperglycemia

699 studies on the registry are indexed under Hyperglycemia; 105 are open to participants now.

This study's enrollment of 19 is below the median of 100 across 155 observational studies indexed under Hyperglycemia.

Browse Hyperglycemia studies →

Lead sponsor

Medtronic Diabetes is the lead sponsor of 61 studies on the registry; none are open to participants now.

Of its 22 completed or terminated interventional studies of FDA-regulated products, 21 (95%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Adult patients admitted to the Intensive Care Unit (ICU) and on intravenous (IV) insulin therapy for the treatment of transient or diabetes-related hyperglycemia

Inclusion criteria

  1. Subject is at least 18 years old
  2. Subject is admitted to the ICU
  3. Subject has a treatment regimen that includes a glucose target range of ≥140 mg/dl
  4. Subject has a treatment regimen that includes an intended continuous intravenous insulin for at least 24 hours

    a. Including patients with no previous diagnosis of Diabetes Mellitus

  5. Subject has anticipated life expectancy greater than 96 hours
  6. Subject has recent platelet count greater than 30,000 per micro-liter

Exclusion criteria

Exclusion Criteria:

  1. Subject currently has a suspected or diagnosed medical condition that, in the opinion of the Investigator, warrants exclusion from the study or prevents the subject from completing the study
  2. Subject is currently participating in another investigational drug or device study
  3. Subject is pregnant, as determined by hospital admission
  4. Subject is receiving treatment that includes Hydroxyurea.
05

Study design

Time perspective
Prospective
Enrollment
19 participants (actual)
Patient registry
No
06

What researchers measure

Primary outcomes

  1. Device Performance: Accuracy of HGMS

    Mean Absolute Relative Difference (MARD), calculated as the absolute difference of \[(sensor glucose values - iSTAT glucose values) / iSTAT glucose values\]. The portable i-STAT handheld makes patient-side testing easy: * Requires no special sample preparation or user calibration; maintenance is minimal * Weighs 18 ounces, making it portable * Patient-side testing is as easy as entering the operator and patient information into the handheld, inserting one of the several filled test cartridges, and then viewing test results: * The system prompts users step by step through the testing process * Operator and patient information can be entered via barcode scanner * Operator lockout prevents unauthorized users from performing or viewing test results * Test results are uploaded automatically when the i-STAT handheld is placed in a downloader

    Time frame: up to 72 hours

Other outcomes

  1. Functionality of HGMS: Alerts and Alarms - % of Hypo Events Correctly Detected

    The device alarmed within 30 minutes before or after the reference blood glucose value (i-STAT) goes below 70 mg/dL setting levels. The % of hypo events correctly detected was calculated as: total number of correct events divided by total number of events from all 19 participants.

    Time frame: up to 72 hours

  2. Functionality of HGMS: Alerts and Alarms - % of Hyper Events Correctly Detected

    The device alarmed within 30 minutes before or after the reference blood glucose value (i-STAT) goes above 250 mg/dL setting levels. The % of hyper events correctly detected was calculated as: total number of correct events divided by total number of events from all 19 participants.

    Time frame: 72 hours

  3. Functionality of HGMS: Alerts and Alarms - % of Hypo False Alert

    Definition of % of hypo false alert: within 30 minutes before or after the sensor alarmed at 70 mg/dL, there is no reference blood glucose value (i-STAT) that goes below 70 mg/dL. The % of hypo false alert was calculated as: total number of false events divided by total number of events from all 19 participants. NOTE: % of Hypo False Alert and % Hypo Event Correctly Detected do not necessarily add up to 100% because the denomintors are not the same.

    Time frame: Up to 72 hours

  4. Functionality of HGMS: Alerts and Alarms - % of Hyper False Alert

    Definition of % of Hyper False Alert: within 30 minutes before or after the sensor alarmed at 250 mg/dL, there is no reference blood glucose value (i-STAT) that goes above 250mg/dL . The % of hyper false alert was calculated as: total number of false events divided by total number of events from all 19 participants. NOTE: % of Hyper False Alert and % Hyper Event Correctly Detected do not necessarily add up to 100% because the denomintors are not the same.

    Time frame: Up to 72 hours

07

Results

Posted May 7, 2015

Participant flow

Participant flow — Overall Study
MilestoneOberservation Arm
Started19
Completed19
Not completed0

Outcome measures

PrimaryDevice Performance: Accuracy of HGMS

Mean Absolute Relative Difference (MARD), calculated as the absolute difference of \[(sensor glucose values - iSTAT glucose values) / iSTAT glucose values\]. The portable i-STAT handheld makes patient-side testing easy: * Requires no special sample preparation or user calibration; maintenance is minimal * Weighs 18 ounces, making it portable * Patient-side testing is as easy as entering the operator and patient information into the handheld, inserting one of the several filled test cartridges, and then viewing test results: * The system prompts users step by step through the testing process * Operator and patient information can be entered via barcode scanner * Operator lockout prevents unauthorized users from performing or viewing test results * Test results are uploaded automatically when the i-STAT handheld is placed in a downloader

Time frame:
up to 72 hours
Reported as:
Mean · percent difference
Device Performance: Accuracy of HGMS
percent differenceOberservation Arm
Device Performance: Accuracy of HGMS12.8 ± 9.5
Statistical analysis
  • Oberservation Arm · Mean difference (final values): 12.8
Other pre-specifiedFunctionality of HGMS: Alerts and Alarms - % of Hypo Events Correctly Detected

The device alarmed within 30 minutes before or after the reference blood glucose value (i-STAT) goes below 70 mg/dL setting levels. The % of hypo events correctly detected was calculated as: total number of correct events divided by total number of events from all 19 participants.

Time frame:
up to 72 hours
Reported as:
Number · percentage of total events
Functionality of HGMS: Alerts and Alarms - % of Hypo Events Correctly Detected
percentage of total eventsOberservation Arm
Functionality of HGMS: Alerts and Alarms - % of Hypo Events Correctly Detected16.7
Statistical analysis
  • Oberservation Arm · Percent of events correctly detected: 16.7
Other pre-specifiedFunctionality of HGMS: Alerts and Alarms - % of Hyper Events Correctly Detected

The device alarmed within 30 minutes before or after the reference blood glucose value (i-STAT) goes above 250 mg/dL setting levels. The % of hyper events correctly detected was calculated as: total number of correct events divided by total number of events from all 19 participants.

Time frame:
72 hours
Reported as:
Number · percentage of total events
Functionality of HGMS: Alerts and Alarms - % of Hyper Events Correctly Detected
percentage of total eventsOberservation Arm
Functionality of HGMS: Alerts and Alarms - % of Hyper Events Correctly Detected88.9
Statistical analysis
  • Oberservation Arm · Percent of events correctly detected: 88.9
Other pre-specifiedFunctionality of HGMS: Alerts and Alarms - % of Hypo False Alert

Definition of % of hypo false alert: within 30 minutes before or after the sensor alarmed at 70 mg/dL, there is no reference blood glucose value (i-STAT) that goes below 70 mg/dL. The % of hypo false alert was calculated as: total number of false events divided by total number of events from all 19 participants. NOTE: % of Hypo False Alert and % Hypo Event Correctly Detected do not necessarily add up to 100% because the denomintors are not the same.

Time frame:
Up to 72 hours
Reported as:
Number · percentage of all alerts
Functionality of HGMS: Alerts and Alarms - % of Hypo False Alert
percentage of all alertsOberservation Arm
Functionality of HGMS: Alerts and Alarms - % of Hypo False Alert85.8
Statistical analysis
  • Oberservation Arm · % of false alert: 85.8
Other pre-specifiedFunctionality of HGMS: Alerts and Alarms - % of Hyper False Alert

Definition of % of Hyper False Alert: within 30 minutes before or after the sensor alarmed at 250 mg/dL, there is no reference blood glucose value (i-STAT) that goes above 250mg/dL . The % of hyper false alert was calculated as: total number of false events divided by total number of events from all 19 participants. NOTE: % of Hyper False Alert and % Hyper Event Correctly Detected do not necessarily add up to 100% because the denomintors are not the same.

Time frame:
Up to 72 hours
Reported as:
Number · percentage of all alerts
Functionality of HGMS: Alerts and Alarms - % of Hyper False Alert
percentage of all alertsOberservation Arm
Functionality of HGMS: Alerts and Alarms - % of Hyper False Alert56.5
Statistical analysis
  • Oberservation Arm · % of false alert: 56.5

Adverse events

Collected over 3 days for each subject. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Observation Arm—0/19 (0%)0/19 (0%)

Baseline characteristics

Age, Categorical
Age, Categorical(Participants)Oberservation Arm
<=18 years0
Between 18 and 65 years9
>=65 years10
Age, Continuous
Age, Continuous(years)Oberservation Arm
Mean64.2 ± 12.1
Sex: Female, Male
Sex: Female, Male(Participants)Oberservation Arm
Female8
Male11
Region of Enrollment
Region of Enrollment(participants)Oberservation Arm
United States19
08

Study locations

1 site
  • St Luke's Hospital Mid America Heart Institute
    Kansas City, Missouri 64111, United States
09

References and documents

Publications

  • Kosiborod M, Gottlieb RK, Sekella JA, Peterman D, Grodzinsky A, Kennedy P, Borkon MA. Performance of the Medtronic Sentrino continuous glucose management (CGM) system in the cardiac intensive care unit. BMJ Open Diabetes Res Care. 2014 Jul 21;2(1):e000037. doi: 10.1136/bmjdrc-2014-000037. eCollection 2014. PubMed 25452874 ↗
10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on May 7, 2015, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT01763567
Lead sponsor
Medtronic Diabetes
Responsible party
Sponsor
First posted
Jan 9, 2013
Start date
Mar 2012
Primary completion
Aug 2012
Completion
Sep 2012
Results posted
May 7, 2015
Last update
May 7, 2015

Study contacts

Mikhail Kosiborod, M.D
principal investigator · St Luke's Hospital - Mid America Heart Institute

Oversight

Data monitoring committee
No
View the source record on ClinicalTrials.gov ↗

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