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Patterns of reintubation in extremely preterm infants: a longitudinal cohort study.
- Source :
-
Pediatric research [Pediatr Res] 2018 May; Vol. 83 (5), pp. 969-975. Date of Electronic Publication: 2018 Jan 31. - Publication Year :
- 2018
-
Abstract
- BackgroundThe optimal approach for reporting reintubation rates in extremely preterm infants is unknown. This study aims to longitudinally describe patterns of reintubation in this population over a broad range of observation windows following extubation.MethodsTiming and reasons for reintubation following a first planned extubation were collected from infants with birth weight ≤1,250 g. An algorithm was generated to discriminate between reintubations attributable to respiratory and non-respiratory causes. Frequency and cumulative distribution curves were constructed for each category using 24 h intervals. The ability of observation windows to capture respiratory-related reintubations while limiting non-respiratory reasons was assessed using a receiver operating characteristic curve.ResultsOut of 194 infants, 91 (47%) were reintubated during hospitalization; 68% for respiratory and 32% for non-respiratory reasons. Respiratory-related reintubation rates steadily increased from 0 to 14 days post-extubation before reaching a plateau. In contrast, non-respiratory reintubations were negligible in the first post-extubation week, but became predominant after 14 days. An observation window of 7 days captured 77% of respiratory-related reintubations while only including 14% of non-respiratory cases.ConclusionReintubation patterns are highly variable and affected by the reasons for reintubation and observation window used. Ideally, reintubation rates should be reported using a cumulative distribution curve over time.
- Subjects :
- Airway Extubation
Algorithms
Female
Gestational Age
Hospitalization
Humans
Infant
Infant, Extremely Premature
Infant, Newborn
Longitudinal Studies
Male
Models, Statistical
Prospective Studies
ROC Curve
Respiration, Artificial
Risk Factors
Intubation, Intratracheal methods
Intubation, Intratracheal statistics & numerical data
Pattern Recognition, Automated
Subjects
Details
- Language :
- English
- ISSN :
- 1530-0447
- Volume :
- 83
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Pediatric research
- Publication Type :
- Academic Journal
- Accession number :
- 29389921
- Full Text :
- https://doi.org/10.1038/pr.2017.330