Ultrasound Technique for Osteopenia in Premature Infants
What You Need to Know Before You Apply
What is the purpose of this trial?
This trial tests a new ultrasound technique called vibro-acoustic analysis (VAA) to assess bone health in prematurely born babies. Premature infants face a higher risk of bone problems, and this method aims to evaluate their bone health without invasive procedures. The trial involves quick and safe ultrasound scans of the infants' tibia (a bone in the lower leg) multiple times during their first months. Families with preterm infants born before 37 weeks or weighing less than 1500 grams are well-suited for this study. As an unphased study, this trial allows families to contribute to innovative research that could enhance non-invasive bone health assessments for premature infants.
Do I have to stop taking my current medications for the trial?
The trial does not specify if you need to stop taking your current medications, but infants currently on continuous cardiovascular medication infusions cannot participate.
What prior data suggests that this ultrasound technique is safe for infants?
Research has shown that vibro-acoustic analysis (VAA) is safe. In past studies, this method assessed infants' bone health without any reported problems. VAA is noninvasive, meaning it doesn't involve surgery or entering the body, which reduces risks. The ultrasound component of the procedure resembles those commonly used in medical imaging and is generally easy for patients to handle. In these studies, infants underwent the VAA process multiple times, and no safety issues emerged. Overall, the evidence suggests that VAA is a safe and well-tolerated method for monitoring bone health in premature infants.12345
Why are researchers excited about this trial?
Researchers are excited about this trial because it explores a new ultrasound technique to assess osteopenia in premature infants. Unlike traditional methods, which might involve more invasive procedures or exposure to radiation, this technique uses vibro-acoustic analysis (VAA) to provide a safer, non-invasive way to evaluate bone health. By using ultrasound waves and a hydrophone, this method could offer quick and accurate results, making it a promising tool for monitoring bone development in these vulnerable infants.
What evidence suggests that this ultrasound technique is effective for assessing bone health in premature infants?
Research has shown that vibro-acoustic analysis (VAA), the technique under study in this trial, could be a promising method for assessing bone health in premature babies. A small study found that VAA might help monitor the growth and strengthening of these babies' bones. This method uses ultrasound, which is safe and non-invasive. Although still in the early stages, these findings suggest that VAA could be a valuable tool for evaluating bone health in preterm babies at risk for bone problems.12346
Who Is on the Research Team?
Azra Alizad, MD
Principal Investigator
Mayo Clinic
Are You a Good Fit for This Trial?
This trial is for newborns under 28 days old, including both full-term and preterm infants. Preterm participants should be born before 37 weeks or weigh less than 1500 grams. Infants with growth issues at birth, major bone-related congenital anomalies, or those needing continuous heart medication infusions are excluded.Inclusion Criteria
Exclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Initial Assessment
Vibro-acoustic analysis (VAA) measurements are conducted on the tibia of premature and full-term infants at multiple time points.
Follow-up
Participants are monitored for changes in bone health using VAA and compared with clinical markers.
What Are the Treatments Tested in This Trial?
Interventions
- Vibro-acoustic analysis (VAA)
Find a Clinic Near You
Who Is Running the Clinical Trial?
Mayo Clinic
Lead Sponsor
National Institutes of Health (NIH)
Collaborator
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Collaborator