title: Predictive monitoring for respiratory decompensation leading to urgent unplanned intubation in the neonatal intensive care unit.
abstract: BACKGROUND
  Infants 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.
  
  
  METHODS
  We 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.
  
  
  RESULTS
  In 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.
  
  
  CONCLUSIONS
  We propose that predictive monitoring in the NICU for urgent unplanned intubation may improve outcomes by allowing clinicians to intervene noninvasively before intubation is required.
authors.affiliation: Department of Chemical Engineering, University of Virginia, Charlottesville, VA, USA. mtc2h@virginia.edu
authors.forename: Matthew T
authors.initials: MT
authors.lastname: Clark
authors.forename: Brooke D
authors.initials: BD
authors.lastname: Vergales
authors.forename: Alix O
authors.initials: AO
authors.lastname: Paget-Brown
authors.forename: Terri J
authors.initials: TJ
authors.lastname: Smoot
authors.forename: Douglas E
authors.initials: DE
authors.lastname: Lake
authors.forename: John L
authors.initials: JL
authors.lastname: Hudson
authors.forename: John B
authors.initials: JB
authors.lastname: Delos
authors.forename: John
authors.initials: J
authors.lastname: Kattwinkel
authors.forename: J Randall
authors.initials: JR
authors.lastname: Moorman
mesh_terms: D001049:Apnea / Q000503:physiopathology; D019540:Area Under Curve; D057768:Brief, Resolved, Unexplained Event / Q000628:therapy*; D006339:Heart Rate; D006801:Humans; D007231:Infant, Newborn; D015931:Intensive Care, Neonatal / Q000379:methods*; D007442:Intubation, Intratracheal / Q000379:methods*; D008954:Models, Biological; D008991:Monitoring, Physiologic / Q000379:methods*; D015999:Multivariate Analysis; D010100:Oxygen / Q000378:metabolism
chemical_list: D010100:Oxygen