Literature DB >> 19230906

A randomized controlled trial of post-extubation bubble continuous positive airway pressure versus Infant Flow Driver continuous positive airway pressure in preterm infants with respiratory distress syndrome.

Samir Gupta1, Sunil K Sinha, Win Tin, Steven M Donn.   

Abstract

OBJECTIVE: To compare the efficacy and safety of bubble continuous positive airway pressure (CPAP) and Infant Flow Driver (IFD) CPAP for the post-extubation management of preterm infants with respiratory distress syndrome (RDS). STUDY
DESIGN: A total of 140 preterm infants at 24 to 29 weeks' gestation or with a birth weight of 600 to 1500 g who were ventilated at birth for RDS were randomized to receive either IFD CPAP (a variable-flow device) or bubble CPAP (a continuous-flow device). A standardized protocol was used for extubation and CPAP. No crossover was allowed. The primary outcome was successful extubation maintained for at least 72 hours. Secondary outcomes included successful extubation maintained for 7 days, total duration of CPAP support, chronic lung disease, and complications of prematurity.
RESULTS: Seventy-one infants were randomized to bubble CPAP, and 69 were randomized to IFD CPAP. Mean gestational age and birth weight were similar in the 2 groups, as were the proportions of infants who achieved successful extubation for 72 hours and for 7 days. However, the median duration of CPAP support was 50% shorter in the infants on bubble CPAP. Moreover, in the subset of infants who were ventilated for less than 14 days, the infants on bubble CPAP had a significantly lower extubation failure rate. There was no difference in the incidence of chronic lung disease or other complications between the 2 study groups.
CONCLUSIONS: Bubble CPAP is as effective as IFD CPAP in the post-extubation management of infants with RDS; however, in infants ventilated for < or = 14 days, bubble CPAP is associated with a significantly higher rate of successful extubation. Bubble CPAP also is associated with a significantly reduced duration of CPAP support.

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Year:  2009        PMID: 19230906     DOI: 10.1016/j.jpeds.2008.12.034

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


  18 in total

Review 1.  CPAP review.

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Journal:  Eur J Pediatr       Date:  2011-12-16       Impact factor: 3.183

2.  Safety and effectiveness of bubble continuous positive airway pressure in preterm neonates with respiratory distress.

Authors:  S S Mathai; A Rajeev; K M Adhikari
Journal:  Med J Armed Forces India       Date:  2014-09-26

3.  Continuous positive airway pressure in neonates.

Authors:  Deepak Chawla
Journal:  Indian J Pediatr       Date:  2014-12-16       Impact factor: 1.967

4.  Intra-gastric pressures in neonates receiving bubble CPAP.

Authors:  Prashant Tyagi; Neeraj Gupta; Akanksha Jain; Pramod Upadhyay; Jacob Puliyel
Journal:  Indian J Pediatr       Date:  2014-09-04       Impact factor: 1.967

5.  A Randomized Trial Comparing Efficacy of Bubble and Ventilator Derived Nasal CPAP in Very Low Birth Weight Neonates with Respiratory Distress.

Authors:  Sheetal Agarwal; Arti Maria; Mahesh K Roy; Ankit Verma
Journal:  J Clin Diagn Res       Date:  2016-09-01

6.  Bubble vs conventional continuous positive airway pressure for prevention of extubation failure in preterm very low birth weight infants: a pilot study.

Authors:  Sucheta Yadav; Anu Thukral; M Jeeva Sankar; V Sreenivas; Ashok K Deorari; Vinod K Paul; Ramesh Agarwal
Journal:  Indian J Pediatr       Date:  2011-12-23       Impact factor: 1.967

7.  Impact of implementing 5 potentially better respiratory practices on neonatal outcomes and costs.

Authors:  Bernadette M Levesque; Leslie A Kalish; Justine LaPierre; Maureen Welch; Virginia Porter
Journal:  Pediatrics       Date:  2011-06-13       Impact factor: 7.124

8.  Use of Nasal Bubble CPAP in Children with Hypoxemic Clinical Pneumonia-Report from a Resource Limited Set-Up.

Authors:  Muralidharan Jayashree; H B KiranBabu; Sunit Singhi; Karthi Nallasamy
Journal:  J Trop Pediatr       Date:  2015-09-30       Impact factor: 1.165

9.  Can Machine Learning Methods Predict Extubation Outcome in Premature Infants as well as Clinicians?

Authors:  Martina Mueller; Jonas S Almeida; Romesh Stanislaus; Carol L Wagner
Journal:  J Neonatal Biol       Date:  2013

10.  Machine learning to predict extubation outcome in premature infants.

Authors:  Martina Mueller; Carol C Wagner; Romesh Stanislaus; Jonas S Almeida
Journal:  Proc Int Jt Conf Neural Netw       Date:  2013-08
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