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A predictive model for extubation readiness in extremely preterm infants.

Publication ,  Journal Article
Gupta, D; Greenberg, RG; Sharma, A; Natarajan, G; Cotten, M; Thomas, R; Chawla, S
Published in: J Perinatol
December 2019

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/).

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Published In

J Perinatol

DOI

EISSN

1476-5543

Publication Date

December 2019

Volume

39

Issue

12

Start / End Page

1663 / 1669

Location

United States

Related Subject Headings

  • Treatment Outcome
  • Retrospective Studies
  • Respiration, Artificial
  • Pediatrics
  • Male
  • Logistic Models
  • Kaplan-Meier Estimate
  • Infant, Very Low Birth Weight
  • Infant, Newborn
  • Infant, Extremely Premature
 

Citation

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Gupta, D., Greenberg, R. G., Sharma, A., Natarajan, G., Cotten, M., Thomas, R., & Chawla, S. (2019). A predictive model for extubation readiness in extremely preterm infants. J Perinatol, 39(12), 1663–1669. https://doi.org/10.1038/s41372-019-0475-x
Gupta, Dhruv, Rachel G. Greenberg, Amit Sharma, Girija Natarajan, Michael Cotten, Ronald Thomas, and Sanjay Chawla. “A predictive model for extubation readiness in extremely preterm infants.J Perinatol 39, no. 12 (December 2019): 1663–69. https://doi.org/10.1038/s41372-019-0475-x.
Gupta D, Greenberg RG, Sharma A, Natarajan G, Cotten M, Thomas R, et al. A predictive model for extubation readiness in extremely preterm infants. J Perinatol. 2019 Dec;39(12):1663–9.
Gupta, Dhruv, et al. “A predictive model for extubation readiness in extremely preterm infants.J Perinatol, vol. 39, no. 12, Dec. 2019, pp. 1663–69. Pubmed, doi:10.1038/s41372-019-0475-x.
Gupta D, Greenberg RG, Sharma A, Natarajan G, Cotten M, Thomas R, Chawla S. A predictive model for extubation readiness in extremely preterm infants. J Perinatol. 2019 Dec;39(12):1663–1669.

Published In

J Perinatol

DOI

EISSN

1476-5543

Publication Date

December 2019

Volume

39

Issue

12

Start / End Page

1663 / 1669

Location

United States

Related Subject Headings

  • Treatment Outcome
  • Retrospective Studies
  • Respiration, Artificial
  • Pediatrics
  • Male
  • Logistic Models
  • Kaplan-Meier Estimate
  • Infant, Very Low Birth Weight
  • Infant, Newborn
  • Infant, Extremely Premature