- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05081973
A Model for Predicting Extubation Success in Premature Babies
A Model for Predicting Extubation Success Based on the "Extubation Readiness Estimator" and Lung Ultrasonography Score in Premature Babies
Invasive mechanical ventilation is a life-saving treatment in critically ill newborns with respiratory failure. However, continuing this treatment for a long time may have negative consequences, especially bronchopulmonary dysplasia (BPD) secondary to mechanotrauma. For this reason, it is essential to terminate the mechanical ventilation treatment at the most appropriate time.
About half of the extremely preterm babies may fail extubation even if the clinical criteria traditionally used for extubation are met. Unsuccessful extubation is associated with increased intraventricular bleeding, death, BPD, death or BPD, longer duration of ventilator support.
When respiratory failure and lung pathologies of extremely preterm babies begin to improve, the target for mechanical ventilation should be early and successful extubation. Currently, the decision to extubate a preterm baby is primarily based on clinical judgment. Only a few studies that showed the low predictive value and limited utility using different measures have evaluated readiness for extubation. Lung ultrasonography (USG) is a noninvasive bedside technique that has been found useful for predicting the success of weaning from the ventilator in adults; however, very little data are available in neonates. In a recently published study, it was proposed an extubation readiness estimation tool based on clinical and demographic data of preterm babies who were attempted elective extubation.
The researchers' hypothesis is that the use of a model based on extubation success scoring and lung USG scoring before extubation reduces the failure of the first extubation attempt in very low birth weight infants. The aim of the study is to evaluate the value of using an integrated model based on pre-extubation "extubation readiness predictor" and lung USG scoring to predict extubation success in preterm babies undergoing invasive mechanical ventilation.
Study Overview
Status
Detailed Description
Long-term invasive mechanical ventilation may have detrimental effects in preterm infants, although it is a life-saving treatment in critically ill newborns with respiratory failure. (e.g. bronchopulmonary dysplasia (BPD), superimposed bacterial infections and colonization, air leak, etc.). For this reason, it is essential to terminate the mechanical ventilation treatment at the most appropriate time.
A significant portion of the extremely preterm babies may fail extubation even if the clinical criteria traditionally used for extubation are met. Unsuccessful extubation is associated with increased intraventricular bleeding, death, BPD, death or BPD, longer duration of ventilator support.
When respiratory failure and lung pathologies of extremely preterm babies begin to improve, the target for mechanical ventilation should be early and successful extubation. Currently, the decision to extubate a preterm baby is primarily based on clinical judgment. Only a few studies that showed the low predictive value and limited utility using different measures have evaluated readiness for extubation. Lung ultrasonography (USG) is a noninvasive bedside technique that has been found useful for predicting the success of weaning from the ventilator in adults; however, very little data are available in neonates. In a recently published study, it was proposed an extubation readiness estimation tool based on clinical and demographic data of preterm babies who were attempted elective extubation.
The researchers' hypothesis is that the use of a model based on extubation success scoring and lung USG scoring before extubation; reduces the failure of the first extubation attempt in very low birth weight infants. The aim of the study is to evaluate the value of using a model based on pre-extubation "extubation readiness predictor" and lung USG scoring to predict extubation success in preterm babies undergoing invasive mechanical ventilation.
This study is a prospective observational study. The study is planned to be conducted in infants with a birth weight <1250 g, who were intubated within the first 7 days of life, remained intubated invasive conventional mechanical ventilation for at least 48 hours, did not complete the postnatal 60 days, and met the traditional extubation criteria of the institution and were considered for elective extubation for the first time.
An "informed consent form" will be obtained from the parents of the babies included in the study. The birth dates, protocol numbers, birth types, maternal histories, genders, weeks of gestation and birth weights of the babies will be recorded.
The usual institutional routine approaches will be applied after the baby is born.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Contact
- Name: Asli Memisoglu, MD
- Phone Number: +905468807300
- Email: acinarmemisoglu@gmail.com
Study Contact Backup
- Name: Eren Ozek, Prof.
- Phone Number: +905324237568
- Email: ozekeren@gmail.com
Study Locations
-
-
-
Istanbul, Turkey, 34899
- Recruiting
- Marmara University Pendik Training and Research Hospital
-
Contact:
- Aslı Memişoğlu, MD
- Email: acinarmemisoglu@gmail.com
-
Contact:
- Eren Ozek, Prof.
- Email: ozekeren@gmail.com
-
Istanbul, Turkey
- Active, not recruiting
- Başakşehir Çam and Sakura City Hospital
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Birth weight <1250 gr
- Being intubated within the first 7 days of life and then followed on mechanical ventilation
- Being intubated for at least 48 hours
- Not completing the postnatal 60 days
- Meeting conventional clinical extubation criteria
- Having planned extubation for the first time
- Having no air leakage occurred
- Having no structural heart and lung disease
- Having no congenital and chromosomal anomalies
- Having an intact diaphragm
- Having no PVL, IVH (Grade 2 and above), HIE, meningitis or known CNS anomaly during extubation
Exclusion Criteria:
- Infants with a gestational age of 34 weeks or more
- Infants with unplanned and spontaneous extubation
- Infants who have tried extubation before
- Infants with hydrops fetalis
- Infants with chest deformities
- Infants with central respiratory failure (insufficient respiratory effort/control or continuous apneic)
- Infants who are neurologically depressed and do not have spontaneous breathing (hypocarbia due to hyperventilation, presence of severe sedation, use of neuromuscular drugs)
- In the presence of genetic or congenital anomalies (esophageal atresia, severe diaphragmatic hernia, diaphragm paralysis)
- Having phrenic nerve damage
- Presence of congenital myopathy
- Having any air leakage
- Having structural heart and lung disease
- Having no intact diaphragm
- Having PVL, IVH (Grade 2 and above), HIE, meningitis or known CNS anomaly during extubation
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Intubated preterm infants
Infants with a birth weight < 1250 grams who have required endotracheal tube and mechanical ventilation within the first 7 days of life, and have been on an invasive mechanical ventilator for at least 48 hours, and have not completed 60 days after birth, and have met the traditional extubation criteria of the institution, and have been considered for elective extubation for the first time.
|
Parameters to be recorded before and after extubation to create a "new dual extubation model" from all babies who met the extubation criteria included in the study:
This parameter will be calculated only 1 hour prior to the scheduled extubation time. |
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Extubation success
Time Frame: For at least 5 days during the post-extubation period.
|
Not to be reintubated for at least 5 days during the post-extubation period.
|
For at least 5 days during the post-extubation period.
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The incidence of morbidities related with prematurity.
Time Frame: 40 weeks' postmenstrual age.
|
The incidence of morbidities related with prematurity (e.g. bronchopulmonary dysplasia, death and/or BPD, air leak syndromes, necrotizing enterocolitis, grade II and higher Intraventricular hemorrhage, retinopathy of prematurity, patent ductus arteriosus). Bronchopulmonary dysplasia will be assessed by attending clinicians based on the diagnostic criteria 2001 NICHD.
|
40 weeks' postmenstrual age.
|
|
Length of stay in the hospital.
Time Frame: 40 weeks' postmenstrual age.
|
Length of stay in the hospital.
|
40 weeks' postmenstrual age.
|
|
Time elapsed on mechanical ventilation among survivors and the time taken with supplemental oxygen.
Time Frame: 40 weeks' postmenstrual age.
|
Time elapsed on mechanical ventilation among survivors and the time taken with supplemental oxygen.
|
40 weeks' postmenstrual age.
|
|
Total noninvasive support time.
Time Frame: 40 weeks' postmenstrual age.
|
Total noninvasive support time until 40 weeks' postmenstrual age.
|
40 weeks' postmenstrual age.
|
|
Percentage of time spent below 90% and above 95% on the SpO2 histogram.
Time Frame: During the first 5 days of the post-extubation period.
|
Percentage of time spent below 90% and above 95% on the SpO2 histogram during the first 5 days of the post-extubation period.
|
During the first 5 days of the post-extubation period.
|
|
Time to re-intubation in babies who are reintubated after extubation.
Time Frame: During the first 5 days of the post-extubation period.
|
Time to re-intubation in babies who are reintubated after extubation.
|
During the first 5 days of the post-extubation period.
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Study Director: Eren Ozek, Marmara University
Publications and helpful links
General Publications
- Shi Y, Muniraman H, Biniwale M, Ramanathan R. A Review on Non-invasive Respiratory Support for Management of Respiratory Distress in Extremely Preterm Infants. Front Pediatr. 2020 May 28;8:270. doi: 10.3389/fped.2020.00270. eCollection 2020.
- El Amrousy D, Elgendy M, Eltomey M, Elmashad AE. Value of lung ultrasonography to predict weaning success in ventilated neonates. Pediatr Pulmonol. 2020 Sep;55(9):2452-2456. doi: 10.1002/ppul.24934. Epub 2020 Jul 8.
- Brat R, Yousef N, Klifa R, Reynaud S, Shankar Aguilera S, De Luca D. Lung Ultrasonography Score to Evaluate Oxygenation and Surfactant Need in Neonates Treated With Continuous Positive Airway Pressure. JAMA Pediatr. 2015 Aug;169(8):e151797. doi: 10.1001/jamapediatrics.2015.1797. Epub 2015 Aug 3.
- Gupta D, Greenberg RG, Sharma A, Natarajan G, Cotten M, Thomas R, Chawla S. A predictive model for extubation readiness in extremely preterm infants. J Perinatol. 2019 Dec;39(12):1663-1669. doi: 10.1038/s41372-019-0475-x. Epub 2019 Aug 27.
Study record dates
Study Major Dates
Study Start (ACTUAL)
Primary Completion (ANTICIPATED)
Study Completion (ANTICIPATED)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (ACTUAL)
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- MarmaraU_Neonatal
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
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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