ArticlePediatric research2013
Predictive monitoring for respiratory decompensation leading to urgent unplanned intubation in the neonatal intensive care unit.
Article in Pediatric research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 35 citations in OpenAlex.
- Infection and other clinical correlates of abnormal heart rate characteristics in preterm infants.The Journal of pediatrics · 2014Trial
- Postnatal Steroids in Preterm Infants: A Narrative Review Series-Part 2: Cardiovascular Impacts.Children (Basel, Switzerland) · 2026Review
- Definitions and monitoring methods for apnea in preterm infants: a scoping review.Pediatric research · 2026Article
- Heart rate characteristics predict risk of mortality in preterm infants in low and high target oxygen saturation ranges.ERJ open research · 2024Article
- Predicting the need for intubation within 3 h in the neonatal intensive care unit using a multimodal deep neural network.Scientific reports · 2023Article
- Novel approaches to capturing and using continuous cardiorespiratory physiological data in hospitalized children.Pediatric research · 2023Review
- Machine learning for the prediction of preclinical airway management in injured patients: a registry-based trial.Clinical and experimental emergency medicine · 2022Article
- Neonatal heart rate variability: a contemporary scoping review of analysis methods and clinical applications.BMJ open · 2021Article
- Predictive Monitoring-Impact in Acute Care Cardiology Trial (PM-IMPACCT): Protocol for a Randomized Controlled Trial.JMIR research protocols · 2021Article
- Predicting the need for intubation in the first 24 h after critical care admission using machine learning approaches.Scientific reports · 2020Article
- Towards development of alert thresholds for clinical deterioration using continuous predictive analytics monitoring.Journal of clinical monitoring and computing · 2020Article
- Continuous vital sign analysis for predicting and preventing neonatal diseases in the twenty-first century: big data to the forefront.Pediatric research · 2020Review
- Impact of predictive analytics based on continuous cardiorespiratory monitoring in a surgical and trauma intensive care unit.Journal of clinical monitoring and computing · 2019Article
- Diffusing an Innovation: Clinician Perceptions of Continuous Predictive Analytics Monitoring in Intensive Care.Applied clinical informatics · 2019Article
- Signatures of Subacute Potentially Catastrophic Illness in the ICU: Model Development and Validation.Critical care medicine · 2016Observational
- Predictive monitoring for sepsis and necrotizing enterocolitis to prevent shock.Seminars in fetal & neonatal medicine · 2015Review
- Factors affecting nasal intermittent positive pressure ventilation failure and impact on bronchopulmonary dysplasia in neonates.Journal of perinatology : official journal of the California Perinatal Association · 2014Article
- Ventilatory control in infants, children, and adults with bronchopulmonary dysplasia.Respiratory physiology & neurobiology · 2013Review
- Predictive monitoring for early detection of sepsis in neonatal ICU patients.Current opinion in pediatrics · 2013Review
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundInfants admitted to the neonatal intensive care unit (NICU), and especially those born with very low birth weight (VLBW; <1,500 g), are at risk for respiratory decompensation requiring endotracheal intubation and mechanical ventilation. Intubation and mechanical ventilation are associated with increased morbidity, particularly in urgent unplanned cases.
methodsWe tested the hypothesis that the systemic response associated with respiratory decompensation can be detected from physiological monitoring and that statistical models of bedside monitoring data can identify infants at increased risk of urgent unplanned intubation. We studied 287 VLBW infants consecutively admitted to our NICU and found 96 events in 51 patients, excluding intubations occurring within 12 h of a previous extubation.
resultsIn order of importance in a multivariable statistical model, we found that the characteristics of reduced O(2) saturation, especially as heart rate was falling; increased heart rate correlation with respiratory rate; and the amount of apnea were all significant independent predictors. The predictive model, validated internally by bootstrap, had a receiver-operating characteristic area of 0.84 ± 0.04.
conclusionWe propose that predictive monitoring in the NICU for urgent unplanned intubation may improve outcomes by allowing clinicians to intervene noninvasively before intubation is required.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.