Predicting Respiratory Support Needs in Newborns
This study is looking at how to predict if newborn babies will need extra breathing support for more than six hours after birth. Researchers will analyze fluid from the stomachs of newborns, which is routinely collected after delivery. The goal is to see how well this analysis can predict the need for prolonged breathing support and also how accurately it can identify babies who will *not* develop respiratory distress syndrome (breathing problems). You might be able to join if your baby is born at 32 weeks gestational age or older, and their delivery is attended by the neonatal resuscitation team. The study is currently observational, meaning researchers are just watching and collecting information, not giving any new treatments. The status of recruitment is unclear.
- Study design
- This is an observational study with a planned enrollment of 500 neonates (newborns).
- What's involved
- Not specified in the trial record.
- Compensation
- Not stated in the trial record.
- Follow-up
- The study will measure the prediction of prolonged respiratory support at 1 year and the accuracy of predicting negative cases of Respiratory Distress Syndrome at 2 years.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Predicting the Need for Prolonged Respiratory Support in Neonates Delivered in a Lower-Level NICU Setting
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- William A. Carey, MD · PRINCIPAL_INVESTIGATOR · Mayo Clinic
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Performance of the algorithmic prediction of the need for prolonged respiratory support, defined as >6 hours of life.1 years
Calculated sensitivity, specificity, positive- and negative-predictive values of the predicted outcomes compared to actual patient outcomes.
- Accuracy of algorithmic prediction of negative cases of Respiratory Distress Syndrome2 years
Total proportion of true negatives as determined by the digital point-of-care device algorithm predicting no diagnosis of Respiratory Distress Syndrome and the clinician does not diagnosis Respiratory Distress Syndrome. Reported as a calculation of # true negatives / (# true negatives + # false negatives).