Constructing an Insulin-Like Growth Factor-based Prediction Model

December 1, 2014 updated by: Pinchas Cohen, University of California, Los Angeles

Serum insulin-like growth factor-I (IGF-I) measurements have been shown to correlate well with growth hormone action and effect, and recent data show that serum IGF-I may be related to safety and efficacy of growth hormone (GH) treatment in patients. Some studies indicate that high IGF-I levels are associated with increased cancer risk, and low IGF-I levels are associated with increased risk for cardiovascular disease. Studies in children also show that the serum IGF-I level is correlated with the change in height score achieved (that is, the higher the IGF-I level, the greater the gain in height). Pediatric endocrinologists have therefore begun to use serum IGF-I levels, in addition to growth rate and weight gain, to adjust the GH dose in treated children.

Although monitoring of serum IGF-I levels is becoming standard of care in patients begin treated with GH, there are few guidelines regarding the actual logistics of adjusting GH dose. As serum IGF-I level has been linked to both safety and efficacy of GH treatment, the ideal practice would be to maintain serum IGF-I levels within a certain target range. The overall goal of our study is to construct a mathematical model which predicts the change in GH dose necessary to achieve a desired change in IGF-I level.

Hypotheses to be tested by our study include the following: IGF-I measurement has a role in optimization of GH therapy; GH dose change to achieve IGF-I changes are predictable; and gender and puberty affect the relationship between dose change and target IGF-I changes.

Study Overview

Detailed Description

The first phase of our study, previously approved by the UCLA IRB in August 2004, involved a retrospective chart review and collection of preexisting data. We analyzed charts of patients who underwent non-weight-based GH dose adjustments preceded and followed by a serum IGF-I level. Data collected included patient's age, gender, height, weight, linear height velocity, pubertal status, GH dose, IGF-I levels, disease condition (i.e., growth hormone deficiency, idiopathic short stature, small-for-gestational age) and recording of any adverse effects. Based on this data collected, we performed statistical analysis of the relationship between GH dose change and change in IGF-I level achieved, and have found that in prepubertal children, there is a significant relationship between the GH dose change and change in corresponding IGF-I level. We have subsequently constructed a mathematical prediction model that allows us to determine the GH dose change necessary to achieve a desired IGF-I level, and in this second phase of our study, we plan to apply this mathematical prediction model prospectively for guiding GH dose adjustments in prepubertal children being treated with GH therapy.

Children being treated with GH are typically followed in the outpatient Endocrinology clinic every 3-4 months, and our practitioners have routinely been obtaining serum IGF-I levels (via venipuncture in the outpatient laboratory) for monitoring purposes. Validation of our GH dose change/IGF-I change prediction model will require assessment of sequential serum IGF-I level measurements immediately preceding a GH dose change, and again within 1-4 months following the GH dose change. We plan to continue our retrospective and ongoing analysis of patients who have paired values of GH dose adjustments preceded and followed by a serum IGF-I level, in order that we may continue to fine-tune our prediction model for optimizing GH dose adjustments.

Study Type

Observational

Enrollment (Actual)

30

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

    • California
      • Los Angeles, California, United States, 90095
        • UCLA Pediatric Endocrinology

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

3 years to 14 years (Child)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

GH-treated chlidren

Description

Inclusion Criteria:

  • Prepubertal patients,
  • Male/female,
  • Ages 3-14 yrs,
  • Being treated with growth hormone for the conditions of growth hormone deficiency, idiopathic short stature, and small-for-gestational age with failure to catch up to the normal growth curve by age 2 years.

Exclusion Criteria:

  • Patients being treated with growth hormone for other conditions such as Turner syndrome, chronic renal failure, or Prader-Willi syndrome

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

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Delta IGF-I SDS
Time Frame: 3-months
1 SDS change per 20% dose change
3-months

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Pinchas Cohen, MD, University of California, Los Angeles

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

August 1, 2004

Primary Completion (Actual)

July 1, 2012

Study Completion (Actual)

July 1, 2012

Study Registration Dates

First Submitted

December 7, 2005

First Submitted That Met QC Criteria

December 7, 2005

First Posted (Estimate)

December 8, 2005

Study Record Updates

Last Update Posted (Estimate)

December 2, 2014

Last Update Submitted That Met QC Criteria

December 1, 2014

Last Verified

December 1, 2014

More Information

Terms related to this study

Other Study ID Numbers

  • 04-07-052-02
  • 304-F02/X3270n (Genentech)

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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