View clinical trials related to Neonatal Respiratory Failure.
Filter by:Preterm neonates born at less than 30 weeks' gestation are commonly maintained on invasive or non-invasive respiratory support to facilitate gas exchange. While non-invasive respiratory support (NIS) can be gradually reduced over time as the infant grows, most weaning strategies often lead to weaning failure. This failure is evidenced by an increase in significant events such as apneas, desaturations, and/or bradycardias, increased work of breathing, or an inability to oxygenate or ventilate, resulting in escalated respiratory support. Although the optimal approach to weaning NIS remains uncertain, neonatal units that delay Continuous Positive Airway Pressure (CPAP) weaning until 32-34 weeks corrected gestational age exhibit lower rates of chronic lung disease. Therefore, the investigators aim to compare the duration on respiratory support and oxygen exposure in infants born at less than 30 weeks' gestational age who undergo a structured weaning protocol that includes remaining on CPAP until at least 32-34 weeks corrected gestational age (CGA). The hypothesis posits that preterm infants following a structured weaning protocol, including maintaining CPAP until a specific gestational age, will demonstrate lower rates of weaning failure off CPAP (defined as requiring more support and/or experiencing increased stimulation events 72 hours after CPAP weaning) than those managed according to the medical team's discretion.
Tracheal intubation in the NICU is frequently complicated by severe oxygen desaturation. Apneic oxygenation, a method of applying free flowing oxygen via nasal cannula to apneic patients undergoing intubation, prevents or delays oxygen desaturation during intubation in adults and older children. We propose to enroll patients at two sites (Hospital of the University of Pennsylvania and Children's Hospital of Philadelphia) in a randomized trial in infants undergoing intubation in the NICU to determine if apneic oxygenation, compared with no respiratory support or oxygen during laryngoscopy and intubation attempts (standard care), reduces the magnitude of oxygen desaturation during tracheal intubation encounters.
this study is about evaluating the effect of using normal saline nebulization in preventing re-intubation in extubated neonates , provided that the cause of intubation is mainly due to respiratory cause
Neonatal mortality remains unacceptably high. Globally, the majority of mothers now deliver in health facilities in low resource settings where quality of newborn care is poor. Health systems strengthening through digitial quality improvement systems, such as the Neotree, are a potential solution. The overarching aim of this study is to complete the co-development of NeoTree-gamma with key functionalities configured, operationalised, tested and ready for large scale roll out across low resource settings. Specific study objectives are as follows: 1. To further develop and test the NeoTree at tertiary facilities in Malawi and Zimbabwe 2. To investigate HCPs and parent/carer view of the NeoTree, including how acceptable and usable HCWs find the app, and potential barriers and enablers to implementing/using it in practice. 3. To collect outcome data for newborns from representative sites where NeoTree is not implemented. 4. To test the clinical validity of key NeoTree diagnostic algorithms, e.g. neonatal sepsis and hypoxic ischaemic encephalopathy (HIE) against gold standard or best available standard diagnoses. 5. To add dashboards and data linkage to the functionality of the NeoTree 6. To develop and test proof of concept for communicating daily electronic medical records (EMR) using NeoTree 7. To initiate a multi-country network of newborn health care workers, policy makers and academics. 8. To estimate cost of implementing NeoTree at all sites and potential costs at scale
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.
The purpose of this study is to determine whether Nasal intermittent positive pressure ventilation (NIPPV) non synchronized is better than continuous positive airway pressure (NCPAP)in preventing extubation failure within 72 h, after extubation of very low birth weight infants at the NEOCOSUR Network.