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Completed Not applicable Interventional Accepts healthy volunteers

The Metabolic Effects of Protease Inhibitors in HIV Infected Children

ClinicalTrials.gov ID: NCT00004739

Public ClinicalTrials.gov record NCT00004739. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.

ClinicalTrials.gov public records Last synced Sep 23, 2026, 11:48 PM EDT

Data is sourced from official ClinicalTrials.gov public API records. Always review the official ClinicalTrials.gov record for the latest information.

Brief summary

Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.

The use of protease inhibitors is increasing in HIV-infected children because this treatment has resulted in improved body weight, improved immune status and less hospitalizations. However, recent reports suggest that these drugs may also be associated with some negative side-effects, specifically a syndrome of diabetes and fat redistribution. Development of the fat redistribution/diabetes syndrome has recently been reported in HIV-infected children, as well as in adults. Diabetes is associated with complications such as increased heart disease, eye disease and loss of kidney function. Thus development of diabetes is a significant problem which could outweigh the benefits obtained by treating patients with protease inhibitors. One major cause of diabetes is lack of normal response to insulin (insulin resistance). Insulin resistance tends to be worse in family members where one or more parent has diabetes, and is also worse in certain ethnic groups. The first major purpose of our study is measure insulin resistance in HIV-infected children who do not take protease inhibitors, and compare our findings to those from patients who are treated with protease inhibitors. We will also follow patients newly treated with protease inhibitors for two years to evaluate changes in insulin sensitivity. These results will be correlated with each patient's family history of diabetes and with ethnicity, and should help us better predict which children are "at risk" for development of diabetes from protease inhibitor therapy. Children with HIV infection often have problems with gaining enough weight and with poor linear growth (height). One likely reason for this is the way their bodies use and store protein. The second purpose of our study is measure protein turnover and to correlate our findings with growth data. We also plan to study the effects of protease inhibitor therapy on protein turnover. We believe that these studies will provide knowledge to help clinicians formulate recommendations for nutritional and medical therapy.

Study identification

NCT ID
NCT00004739
Recruitment status
Completed
Study type
Interventional
Phase
Not applicable
Enrollment
Not listed

Conditions and interventions

Conditions

Interventions

Drug

Eligibility (public fields only)

Age range
7 Years to 18 Years
Sex
All
Healthy volunteers
Accepts healthy volunteers

This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.

Study timeline

Start date
Not listed
Primary completion
Not listed
Completion
Not listed
Last update posted
Jun 23, 2005

United States locations

U.S. sites
2
U.S. states
2
U.S. cities
2
Facility City State ZIP Site status
University of Texas Medical School, Dept. of Pediatrics Houston Texas 77030
University of Utah Salt Lake City Utah 84132

Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.

About this trial record page

What this page shows
Public field values for ClinicalTrials.gov record NCT00004739, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
What this page does not do
No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
Where the data comes from
Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
Last refresh
Last update posted Jun 23, 2005 · Synced Sep 23, 2026

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