Infant Body Composition Assessment for Premature Infants
What You Need to Know Before You Apply
What is the purpose of this trial?
This trial aims to determine if monitoring the body fat of premature infants can help maintain a lower body fat percentage by the age of three months. The study will compare two groups: one where doctors have access to the baby's body fat measurements and one where they do not. Infants born between 28 and 32 weeks without serious gastrointestinal or neurological issues may be suitable candidates. As an unphased trial, this study provides a unique opportunity to contribute to the understanding of infant health and development.
Will I have to stop taking my current medications?
The trial information does not specify whether participants must stop taking their current medications.
What prior data suggests that this assessment of infant body composition is safe for premature infants?
Research has shown that checking an infant's body composition is safe and well-tolerated. This non-invasive check does not involve surgery or needles. The process typically uses simple tools like scales and measuring tapes to assess fat and muscle.
Current studies report no adverse events or side effects from these checks. They are already used to help understand and predict future health issues, such as obesity or heart problems, as infants grow. This indicates that the process has been studied and found safe in similar situations.
For those considering a trial that includes body composition checks for infants, the evidence suggests it is a safe process for your little one.12345Why are researchers excited about this trial?
Researchers are excited about this trial because it explores how tracking infant body composition can improve care for premature infants. Unlike standard practices, which may not include detailed body composition data, this approach provides clinicians with precise information about an infant's growth and nutritional status. This could lead to more tailored and effective care decisions, potentially improving health outcomes for these vulnerable infants.
What evidence suggests that this assessment is effective for reducing body fat in premature infants?
Research shows that understanding an infant's body makeup is important for predicting future health. Studies suggest that a baby's body composition can indicate their risk of obesity and other health issues, like heart and metabolic problems, as they grow. In this trial, clinicians will monitor the body composition of infants in the intervention group, and this information will be available to them. Monitoring the amount of fat and non-fat mass in premature babies can better support their health and development. Many studies have also found that more non-fat mass links to better thinking and movement skills in newborns. This approach aims to improve health from an early age.12367
Who Is on the Research Team?
Ariel A. Salas, MD, MSPH
Principal Investigator
University of Alabama at Birmingham
Are You a Good Fit for This Trial?
This trial is for very preterm infants born between 28 and 32 weeks of gestation. It's not suitable for those with terminal illnesses where support is limited or withheld, or babies with gastrointestinal or neurologic malformations.Inclusion Criteria
Exclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Intervention
Infants undergo serial measurements of body composition during hospitalization, with data available to clinicians for the intervention group
Control
Infants undergo serial measurements of body composition during hospitalization, but data is not available to clinicians for the control group
Follow-up
Participants are monitored for changes in metabolic pathways, body composition, and growth metrics
What Are the Treatments Tested in This Trial?
Interventions
- Assessment of infant body composition
Find a Clinic Near You
Who Is Running the Clinical Trial?
University of Alabama at Birmingham
Lead Sponsor
National Institute on Minority Health and Health Disparities (NIMHD)
Collaborator