A predictive model for extubation readiness in extremely preterm infants
- PMID: 31455825
- DOI: 10.1038/s41372-019-0475-x
A predictive model for extubation readiness in extremely preterm infants
Abstract
Objective: To develop an estimator for predicting successful extubation for an individual preterm infant.
Study design: This was a retrospective study that included infants with birth weights ≤1250 g, who were admitted to a tertiary NICU over a 7-year period, received mechanical ventilation and had an elective extubation attempt within 60 days of age. Perinatal and periextubation characteristics were compared in the successful and failed extubation groups.
Results: Of 621 screened infants, 312 were included. Extubation succeeded in 73% and failed in 27%. Adjusted factors associated with successful extubation included greater gestational age, chronologic age, pre-extubation pH and lower pre-extubation FiO2, along with lower "peak" respiratory severity score in the first 6 h of age.
Conclusions: We used readily available demographic and clinical data to create an extubation readiness estimator that provides the probability of extubation success for an individual preterm infant (http://elasticbeanstalk-us-east-2-676799334712.s3-website.us-east-2.amazonaws.com/).
Comment in
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Finally, A Tool to Address Extubation Anxiety!J Perinatol. 2019 Dec;39(12):1581-1583. doi: 10.1038/s41372-019-0525-4. Epub 2019 Oct 17. J Perinatol. 2019. PMID: 31624323 Free PMC article. No abstract available.
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Can a predictive model for extubation readiness in preterm infants improve rates of successful extubation?Acta Paediatr. 2021 Feb;110(2):722-723. doi: 10.1111/apa.15623. Epub 2020 Oct 29. Acta Paediatr. 2021. PMID: 33118635 No abstract available.
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