Incidence, Predictors and Outcomes of Noninvasive Ventilation Failure in Very Preterm Infants

Fernández-González, Sara M.; Alonso, Andrea Sucasas; Martinez, Alicia Ogando; Ávila-Álvarez, Alejandro

doi:10.3390/children9030426

Cited by 4 publications

(2 citation statements)

References 26 publications

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“…Also, other studies by Rocha et al, [14] and De Jaegere et al, [15] showed failure rates of 20.6% -34% in neonates with gestational age less than 36 weeks. Fernandez-Gonzalez SM et al, [16] reported in their study a CPAP failure rate of 64% in preterm neonates of gestational age less than 28 weeks compared to a rate of 8.5% in neonates with gestational age above 28 weeks. In accordance, low gestational age seems to be the most critical risk factor of CPAP failure [17,18] .…”

Section: Discussionmentioning

confidence: 90%

Assessment of the Early Predictors of Failure of Continuous Positive Airway Pressure in Preterm Neonates with Respiratory Distress Syndrome

HAIE¹,

ELHAMSHARY²,

Diab

2022

The Medical Journal of Cairo University

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Background:The most frequent disorders of admission in neonatal intensive care unit is respiratory distress syndrome. Continuous positive airway pressure (CPAP) is essential to maintains functional residual capacity. Many predictors of CPAP failure have been reported in studies Aim of Study: This study aimed to evaluate the early predictors of the failed continuous positive airway pressure (CPAP) in preterm babies with respiratory distress syndrome (RDS).Patients and Methods: All born preterm neonates with gestational age (GA) 36 weeks or less from December 2020 to October 2022, in whom CPAP was initiated within the first 72 hours after birth and FIO2 level was determined in the first 2 hours of life, were enrolled in the study.Results: Of the 207 neonates 36 weeks gestation or less in the study, 7 neonates were excluded from the analysis, so 200 neonates were included. In the vast majority of neonates with CPAP failure, the following factors were highly significant explaining CPAP failure as birth weight and FiO2 level at the first & second hours of life compared to CPAP success patients. In ROC analysis, FiO2 -1 st hr. at cut off point >0.38 and FiO2 -2nd hr. at cut off point >0.33 achieved significance for predicting CPAP failure with sensitivity of (72%, 87%) and specificity of (66.7%, 70.2%), with PPV (68%, 79%) and NPV (70%, 82%), respectively. Conclusion:FiO2 -1 st hr> 0.38 and FiO2 -2nd hr. >0.33 predict CPAP failure in preterm neonates.

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Section: Discussionmentioning

confidence: 90%

Assessment of the Early Predictors of Failure of Continuous Positive Airway Pressure in Preterm Neonates with Respiratory Distress Syndrome

HAIE¹,

ELHAMSHARY²,

Diab

2022

The Medical Journal of Cairo University

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“…Recent non-invasive ventilator (NIV) strategies have reduced the incidence of endotracheal intubation and duration of mechanical ventilator support in NICU management 3,4 . While the increasing use of NIV includes high-flow nasal cannula (HFNC), nasal continuous positive airway pressure (NCPAP), bilevel positive airway pressure (BIPAP), and non-invasive positive pressure ventilation (NIPPV) in neonates with respiratory difficulties, a significant proportion fail on NIV support and require intubation within the first few days of birth, especially in preterm infants [5][6][7] .Neonatal respiratory distress syndrome (RDS) is a major source of morbidity in NICU. Ordinary treatments include mechanical ventilation and surfactant replacement therapy 8,9 .…”

mentioning

confidence: 99%

Predicting the need for intubation within 3 h in the neonatal intensive care unit using a multimodal deep neural network

Park

Kim

et al. 2023

Sci Rep

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Respiratory distress is a common chief complaint in neonates admitted to the neonatal intensive care unit. Despite the increasing use of non-invasive ventilation in neonates with respiratory difficulty, some of them require advanced airway support. Delayed intubation is associated with increased morbidity, particularly in urgent unplanned cases. Early and accurate prediction of the need for intubation may provide more time for preparation and increase safety margins by avoiding the late intubation at high-risk infants. This study aimed to predict the need for intubation within 3 h in neonates initially managed with non-invasive ventilation for respiratory distress during the first 48 h of life using a multimodal deep neural network. We developed a multimodal deep neural network model to simultaneously analyze four time-series data collected at 1-h intervals and 19 variables including demographic, physiological and laboratory parameters. Evaluating the dataset of 128 neonates with respiratory distress who underwent non-invasive ventilation, our model achieved an area under the curve of 0.917, sensitivity of 85.2%, and specificity of 89.2%. These findings demonstrate promising results for the multimodal model in predicting neonatal intubation within 3 h.

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RDS-NExT workshop: consensus statements for the use of surfactant in preterm neonates with RDS

et al. 2023

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Objective To provide the best clinical practice guidance for surfactant use in preterm neonates with respiratory distress syndrome (RDS). The RDS-Neonatal Expert Taskforce (RDS-NExT) initiative was intended to add to existing evidence and clinical guidelines, where evidence is lacking, with input from an expert panel. Study design An expert panel of healthcare providers specializing in neonatal intensive care was convened and administered a survey questionnaire, followed by 3 virtual workshops. A modified Delphi method was used to obtain consensus around topics in surfactant use in neonatal RDS. Result Statements focused on establishing RDS diagnosis and indicators for surfactant administration, surfactant administration methods and techniques, and other considerations. After discussion and voting, consensus was achieved on 20 statements. Conclusion These consensus statements provide practical guidance for surfactant administration in preterm neonates with RDS, with a goal to contribute to improving the care of neonates and providing a stimulus for further investigation to bridge existing knowledge gaps.

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Incidence, Predictors and Outcomes of Noninvasive Ventilation Failure in Very Preterm Infants

Cited by 4 publications

References 26 publications

Assessment of the Early Predictors of Failure of Continuous Positive Airway Pressure in Preterm Neonates with Respiratory Distress Syndrome

Assessment of the Early Predictors of Failure of Continuous Positive Airway Pressure in Preterm Neonates with Respiratory Distress Syndrome

Predicting the need for intubation within 3 h in the neonatal intensive care unit using a multimodal deep neural network

RDS-NExT workshop: consensus statements for the use of surfactant in preterm neonates with RDS

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