Comparison of Noninvasive Blood Glucose Concentrations Relative to Finger Capillary Blood Glucose References

February 23, 2012 updated by: InLight Solutions

An Evaluation and Comparison of Noninvasive Blood Glucose Concentrations Relative to Finger Capillary Blood Glucose References

The purpose of the study is to prospectively evaluate a noninvasive, near-infrared based method for measuring glucose concentration relative to invasive blood reference measurements. The initial phase of the study will be focused on procurement of the data needed to develop a robust, accurate calibration. The second phase will be focused on performance evaluation of the system.

Study Overview

Status

Unknown

Conditions

Detailed Description

Currently, individuals with diabetes must use an invasive finger stick methodology for the determination of their blood glucose levels. Although current technology glucose meters use a smaller amount of blood than older generation meters, the pain and inconvenience associated with this invasive measurement is the number one reason cited for inadequate or infrequent blood glucose monitoring. In fact up to 67% of patients with diabetes fail to routinely monitor their blood glucose levels. A survey of 1895 patients showed that finger soreness was the most common reason given for self-reported noncompliance with testing recommendations, followed by pain, inconvenience, fear of needles, and "other" (including cost), (Diabetes Care August 2001 vol. 24 no. 8 1502-1503). The ability to make a painless blood glucose measurement using only light would address the pain and inconvenience issues associated with current technology glucose meters.

The initial application of the technology is associated with the monitoring of Gestational Diabetes. The International Association of Diabetes and Pregnancy Study Groups (IADPSG) recently released recommendations for diagnosing gestational diabetes, as well as clarifying the benefits of treatment (Diabetes Care, 2010;33:676-682). The IADPSG cited research that found significant graded relationships between increasing maternal glucose levels and the frequency of four primary and five secondary outcomes. For example, with a 1-standard deviation increase in maternal fasting, 1-hour, and 2-hour plasma glucose levels, there was a corresponding 38%, 46%, and 38% increased risk, respectively, in the primary outcome of birth weight >90th percentile, and a 5%, 18%, and 16% increased risk, respectively, of the secondary outcome of premature delivery before 37 weeks gestation (N Engl J Med 2008;358:1991-2002).

Study Type

Observational

Enrollment (Anticipated)

100

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • New Mexico
      • Albuquerque, New Mexico, United States, 87106
        • Lovelace Scientific Resources

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

20 years to 50 years (Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

Female

Sampling Method

Probability Sample

Study Population

The Human Subject population consists of female subjects between the ages of 20 and 50. Subjects must have been diagnosed with either Type I, Type II, or Gestational diabetes and may utilize healthy individuals for the validation phase. Up to 100 subjects may be recruited to participate in this study. Subjects will be recruited from the community and will be selected to ensure a representative sample of the projected intended use population. Efforts will also be made to ensure a broad and even distribution of ages (between 20 and 50 years old) and ethnicities.

Description

Inclusion Criteria:

  • Female at least 20 years of age but not older than 50 years of age
  • Female with Type I or Gestational diabetes based on ADA criteria
  • Female with Type II diabetes and A1c of greater than 7.0 as measured on a Bayer A1C Now meter
  • May include female healthy volunteers.

Exclusion Criteria:

  • Subject requires hemo-dialysis
  • Severe heart disease as evidenced by peripheral edema
  • Liver disease as evidenced by jaundice
  • Active alcohol or drug abuse
  • Body Mass Index (BMI) > 35 kg/m2
  • Hand size too large to fit in the optical measurement instrumentation
  • Middle finger width of less than 5 mm
  • Skin damage at optical sampling site on hand
  • Currently taking prednisone or other systemic steroids
  • Tattoo at the optical sampling site

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Type 2 Diabetes
Those previously diagnosed with type 2 diabetes
Type 1 Diabetes
Those previously diagnosed with type 1 diabetes
Gestational Diabetes
Those that are currently diagnosed with gestational diabetes
Healthy Human Volunteers
Those that have not been diagnosed with any type of diabetes

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Calibrate near-infrared spectroscopy-based glucose meter
Time Frame: 1 year
The collection of capillary blood glucose and noninvasive data will allow the calibration of the noninvasive systems and subsequently evaluate performance via a validation study. The paired NIR spectrum and blood reference data acquired during calibration will be processed using multivariate regression techniques to create a calibration model. Results will be compared using a Clark error grid.
1 year

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Compare Noninvasive to invasive techniques
Time Frame: 1 year
Comparison of noninvasive glucose measurement performance versus standard invasive reference. Invasive measurements are made by obtaining capillary blood glucose measurements and then measuring blood on a Yellow Springs Instrument (YSI). Due to the fact that instrumentation drift and subject physiological changes can adversely influence measurement performance, the study is specifically designed to examine performance over an appropriate period of time with a reasonable distribution of subject variance. Results will be compared using a Clark error grid.
1 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Walter Forman, MD, Lovelace Scientific Resources

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

June 1, 2011

Primary Completion (Anticipated)

February 1, 2012

Study Completion (Anticipated)

February 1, 2012

Study Registration Dates

First Submitted

August 9, 2011

First Submitted That Met QC Criteria

August 10, 2011

First Posted (Estimate)

August 12, 2011

Study Record Updates

Last Update Posted (Estimate)

February 27, 2012

Last Update Submitted That Met QC Criteria

February 23, 2012

Last Verified

February 1, 2012

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • 10-0020

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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