Literature DB >> 30404739

The Impact of Time Interval between Extubation and Reintubation on Death or Bronchopulmonary Dysplasia in Extremely Preterm Infants.

Wissam Shalish1, Lara Kanbar2, Lajos Kovacs3, Sanjay Chawla4, Martin Keszler5, Smita Rao1, Bogdan Panaitescu4, Alyse Laliberte5, Doina Precup6, Karen Brown7, Robert E Kearney2, Guilherme M Sant'Anna8.   

Abstract

OBJECTIVE: To explore the relation between time to reintubation and death or bronchopulmonary dysplasia (BPD) in extremely preterm infants. STUDY
DESIGN: This was a subanalysis from an ongoing multicenter observational study. Infants with birth weight ≤1250 g, requiring mechanical ventilation, and undergoing their first elective extubation were prospectively followed throughout hospitalization. Time to reintubation was defined as the time interval between first elective extubation and reintubation. Univariate and multivariate logistic regression analyses were performed to evaluate associations between time to reintubation, using different observation windows after extubation (24-hour intervals), and death/BPD (primary outcome) or BPD among survivors (secondary outcome). aORs were computed with and without the confounding effects of cumulative mechanical ventilation duration.
RESULTS: Of 216 infants included for analysis, 103 (48%) were reintubated at least once after their first elective extubation. Reintubation was associated with lower gestational age/weight and greater morbidities compared with infants never reintubated. After adjusting for confounders, reintubation within observation windows ranging between 24 hours and 3 weeks postextubation was associated with increased odds of death/BPD (but not BPD among survivors), independent of the cumulative mechanical ventilation duration. Reintubation within 48 hours from extubation conferred higher risk-adjusted odds of death/BPD vs other observation windows.
CONCLUSIONS: Although reintubation after elective extubation was independently associated with increased likelihood of death/BPD in extremely preterm infants, the greatest risk was attributable to reintubation within the first 48 hours postextubation. Prediction models capable of identifying the highest-risk infants may further improve outcomes.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  mechanical ventilation; neonatal intensive care; neonate; weaning

Mesh:

Year:  2018        PMID: 30404739     DOI: 10.1016/j.jpeds.2018.09.062

Source DB:  PubMed          Journal:  J Pediatr        ISSN: 0022-3476            Impact factor:   4.406


  7 in total

Review 1.  [Research advances in the methods for weaning from high-frequency oscillatory ventilation in neonates].

Authors:  Ming-Yuan He; Xin-Zhu Lin
Journal:  Zhongguo Dang Dai Er Ke Za Zhi       Date:  2019-12

2.  Automated prediction of extubation success in extremely preterm infants: the APEX multicenter study.

Authors:  Lara J Kanbar; Wissam Shalish; Charles C Onu; Samantha Latremouille; Lajos Kovacs; Martin Keszler; Sanjay Chawla; Karen A Brown; Doina Precup; Robert E Kearney; Guilherme M Sant'Anna
Journal:  Pediatr Res       Date:  2022-07-29       Impact factor: 3.953

3.  Predicting extubation success: still a conundrum?

Authors:  Kristin N Ferguson; David G Tingay
Journal:  Pediatr Res       Date:  2022-08-19       Impact factor: 3.953

4.  The Impact of Time Interval Between First Extubation and Reintubation on Bronchopulmonary Dysplasia or Death in Very Low Birth Weight Infants.

Authors:  Jing Li; Jing Zhang; Qingfei Hao; Ziyun Shen; Yanna Du; Haoming Chen; Xiuyong Cheng
Journal:  Front Pediatr       Date:  2022-04-25       Impact factor: 3.569

5.  Finally, A Tool to Address Extubation Anxiety!

Authors:  Girija G Konduri; Joanne Lagatta; Satyan Lakshminrusimha; Ola Didrik Saugstad
Journal:  J Perinatol       Date:  2019-10-17       Impact factor: 2.521

6.  Comparison of extubation success using noninvasive positive pressure ventilation (NIPPV) versus noninvasive neurally adjusted ventilatory assist (NI-NAVA).

Authors:  Kartikeya Makker; Josef Cortez; Kanishk Jha; Sanket Shah; Padma Nandula; David Lowrie; Carmen Smotherman; Shiva Gautam; Mark L Hudak
Journal:  J Perinatol       Date:  2020-01-07       Impact factor: 2.521

7.  Development and Validation of a Nomogram for Predicting Bronchopulmonary Dysplasia in Very-Low-Birth-Weight Infants.

Authors:  Jingdi Zhang; Chenghan Luo; Mengyuan Lei; Zanyang Shi; Xinru Cheng; Lili Wang; Min Shen; Yixia Zhang; Min Zhao; Li Wang; Shanshan Zhang; Fengxia Mao; Ju Zhang; Qianya Xu; Suge Han; Qian Zhang
Journal:  Front Pediatr       Date:  2021-03-19       Impact factor: 3.418

  7 in total

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