Literature DB >> 18006566

Difficult extubation in low birthweight infants.

A Greenough1, M Prendergast.   

Abstract

Randomised trials have demonstrated that ventilation techniques which support every spontaneous breath are the most efficacious weaning modes. Nasal continuous positive airway pressure after extubation reduces the likelihood of incidents leading to the need for reintubation in very low birthweight infants; further work is needed to determine if there are advantages of particular delivery techniques. Both methylxanthines and dexamethasone facilitate weaning and extubation; the efficacy of low-dose dexamethasone merits further investigation. Assessments of the efficacy of respiratory efforts and hence the balance of respiratory drive, muscle performance and respiratory load appear to best predict weaning and extubation success. Essential to the success of weaning and extubation are dedicated staff, whether this will be assisted by computerised decision-making tools requires testing. The above approaches are not mutually exclusive and those indicated by this review as appropriately evidence based should be considered by practitioners for current use to reduce difficult/unsuccessful extubation.

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Year:  2007        PMID: 18006566     DOI: 10.1136/adc.2007.121335

Source DB:  PubMed          Journal:  Arch Dis Child Fetal Neonatal Ed        ISSN: 1359-2998            Impact factor:   5.747


  6 in total

1.  Effect of caffeine on respiratory muscle strength and lung function in prematurely born, ventilated infants.

Authors:  Zainab Kassim; Anne Greenough; Gerrard F Rafferty
Journal:  Eur J Pediatr       Date:  2009-03-07       Impact factor: 3.183

2.  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

3.  [Clinical effect of an additional maintenance dose of caffeine before ventilator weaning in preterm infants with respiratory distress syndrome: a prospective randomized controlled trial].

Authors:  Ling-Song Yao; Xin-Zhu Lin; Jing Huang; Li-Xia Tang
Journal:  Zhongguo Dang Dai Er Ke Za Zhi       Date:  2021-01

4.  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

5.  Predictors of extubation success: a population-based study of neonates below a gestational age of 26 weeks.

Authors:  Mari Oma Ohnstad; Hans Jørgen Stensvold; Are Hugo Pripp; Christine Raaen Tvedt; Lars-Petter Jelsness-Jørgensen; Henriette Astrup; Beate Horsberg Eriksen; Claus Klingenberg; Khalaf Mreihil; Tanja Pedersen; Siren Rettedal; Terje Reidar Selberg; Rønnaug Solberg; Ragnhild Støen; Arild E Rønnestad
Journal:  BMJ Paediatr Open       Date:  2022-08

6.  CeasIng Cpap At standarD criteriA (CICADA): predicting a successful outcome.

Authors:  Yue Yin; Margaret Broom; Audrey Wright; Donna Hovey; Mohamed E Abdel-Latif; Bruce Shadbolt; David A Todd
Journal:  Eur J Pediatr       Date:  2015-08-01       Impact factor: 3.183

  6 in total

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