Predicting the Need for Prolonged Respiratory Support in Neonates Delivered in a Lower-Level NICU Setting
Predicting Respiratory Distress Syndrome in Neonates Delivered in a Lower-Level NICU Setting
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Lavonne M. Liedl, LRT
- Phone Number: 507-255-1828
- Email: liedl.lavonne@mayo.edu
Study Locations
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-
Minnesota
-
Rochester, Minnesota, United States, 55905
- Recruiting
- Mayo Clinic in Rochester
-
Contact:
- Lavonne Liedl, LRT
- Phone Number: 507-255-1828
- Email: liedl.lavonne@mayo.edu
-
Principal Investigator:
- William A. Carey, MD
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
Both of the following:
- Neonates born at 32 completed weeks gestational age or older whose deliveries are attended by the neonatal resuscitation team and for whom routine gastric suctioning is indicated
- Neonates whose parents actively accepted or did not actively decline the Minnesota Research Authorization.
Exclusion Criteria:
Any one of the following:
- Neonates with known or suspected congenital anomalies
- Neonates for whom only comfort measures are planned or possible at time of delivery
- Neonates whose parents actively declined the Minnesota Research Authorization.
- Neonates with other identifiable causes of respiratory distress including pneumothorax, meconium aspiration syndrome, or pneumonia.
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Performance of the algorithmic prediction of the need for prolonged respiratory support, defined as >6 hours of life.
Time Frame: 1 years
|
Calculated sensitivity, specificity, positive- and negative-predictive values of the predicted outcomes compared to actual patient outcomes.
|
1 years
|
|
Accuracy of algorithmic prediction of negative cases of Respiratory Distress Syndrome
Time Frame: 2 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).
|
2 years
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: William A. Carey, MD, Mayo Clinic
Publications and helpful links
Helpful Links
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Urogenital Diseases
- Female Urogenital Diseases and Pregnancy Complications
- Pregnancy Complications
- Respiratory Tract Diseases
- Lung Diseases
- Respiration Disorders
- Infant, Premature, Diseases
- Infant, Newborn, Diseases
- Fetal Diseases
- Signs and Symptoms, Respiratory
- Lung Injury
- Pleural Diseases
- Respiratory Distress Syndrome
- Congenital, Hereditary, and Neonatal Diseases and Abnormalities
- Pathological Conditions, Signs and Symptoms
- Signs and Symptoms
- Tachypnea
- Respiratory Distress Syndrome, Newborn
- Pneumothorax
- Hyaline Membrane Disease
- Transient Tachypnea of the Newborn
- Meconium Aspiration Syndrome
Other Study ID Numbers
Other Study ID Numbers
- 24-002867
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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