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A predictive model for extubation readiness in extremely preterm infants

Journal of Perinatology volume 39, pages 1663–1669 (2019)Cite this article

Subjects

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/).

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Author information

Authors and Affiliations

  1. Department of Pediatrics, Wayne State University, Detroit, MI, USA

    Dhruv Gupta, Amit Sharma, Girija Natarajan, Ronald Thomas & Sanjay Chawla

  2. Department of Pediatrics, Duke University, Durham, NC, USA

    Rachel G. Greenberg & Michael Cotten

Authors
  1. Dhruv Gupta
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  2. Rachel G. Greenberg
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  3. Amit Sharma
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  6. Ronald Thomas
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  7. Sanjay Chawla
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Correspondence to Sanjay Chawla.

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The authors declare that they have no conflict of interest.

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Gupta, D., Greenberg, R.G., Sharma, A. et al. A predictive model for extubation readiness in extremely preterm infants. J Perinatol 39, 1663–1669 (2019). https://doi.org/10.1038/s41372-019-0475-x

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