Literature DB >> 23013902

Ventilator discontinuation protocols.

Carl F Haas1, Paul S Loik.   

Abstract

Mechanical ventilation is a life-saving supportive therapy, but it can also cause lung injury, diaphragmatic dysfunction, and lung infection. Ventilator liberation should be attempted as soon as clinically indicated, to minimize morbidity and mortality. The most effective method of liberation follows a systematic approach that includes a daily assessment of weaning readiness, in conjunction with interruption of sedation infusions and spontaneous breathing trials. Protocols and checklists are decision support tools that help ensure consistent application of key elements of evidence-based practice. A majority of studies of weaning protocols applied by non-physician healthcare providers suggest faster weaning and shorter duration of ventilation and ICU stay, and some suggest reduced failed extubation and ventilator-associated pneumonia rates. Checklists can be used to reinforce application of the protocol, or possibly in lieu of one, particularly in environments where the caregiver-to-patient ratio is high and clinicians are well versed in and dedicated to applying evidence-based care. There is support for integrating best-evidence rules for weaning into the mechanical ventilator so that a substantial portion of the weaning process can be automated, which may be most effective in environments with low caregiver-to-patient ratios or those in which it is challenging to consistently apply evidence-based care. This paper reviews evidence for ventilator liberation protocols and discusses issues of implementation and ongoing monitoring.

Entities:  

Mesh:

Year:  2012        PMID: 23013902     DOI: 10.4187/respcare.01895

Source DB:  PubMed          Journal:  Respir Care        ISSN: 0020-1324            Impact factor:   2.258


  3 in total

1.  Clinical Application of Modified Burns Wean Assessment Program Scores at First Spontaneous Breathing Trial in Weaning Patients from Mechanical Ventilation.

Authors:  Eun Suk Jeong; Kwangha Lee
Journal:  Acute Crit Care       Date:  2018-11-30

2.  An Artificial Neural Network Model for Predicting Successful Extubation in Intensive Care Units.

Authors:  Meng-Hsuen Hsieh; Meng-Ju Hsieh; Chin-Ming Chen; Chia-Chang Hsieh; Chien-Ming Chao; Chih-Cheng Lai
Journal:  J Clin Med       Date:  2018-08-25       Impact factor: 4.241

3.  Reduction of ventilatory time using the multidisciplinary disconnection protocol. Pilot study.

Authors:  Miriam Sánchez-Maciá; Jaime Miralles-Sancho; María José Castaño-Picó; Ana Pérez-Carbonell; Loreto Maciá-Soler
Journal:  Rev Lat Am Enfermagem       Date:  2019-12-05
  3 in total

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