Literature DB >> 22613227

Analysis of risk factors for extubation failure in subjects submitted to non-emergency elective intracranial surgery.

Milena Carlos Vidotto1, Luciana Carrupt Machado Sogame, Mariana Rodrigues Gazzotti, Mirto Nelson Prandini, José Roberto Jardim.   

Abstract

BACKGROUND: Extubation failure is defined as the re-institution of respiratory support ranging from 24 to 72 hours following scheduled extubation and occurs in 2% to 25% of extubated patients. The aim of this study was to determine clinical and surgical risk factors that may predict extubation failure in patients submitted to non-emergency intracranial surgery.
METHODS: This was a prospective observational cohort study. The study was carried out on 317 subjects submitted to non-emergency intracranial surgery for tumors, aneurysms, and arteriovenous malformation. Preoperative assessment was performed and subjects were followed up for the determination of extubation failure until either discharge from hospital or death.
RESULTS: Twenty-six (8.2%) of the 317 subjects experienced extubation failure following surgery. The following variables were considered for the multivariate analysis: level of consciousness at the time of extubation, duration of mechanical ventilation prior to extubation, sex and the use of intraoperative mannitol. The multivariate analysis determined that the most important variable for extubation failure was the level of consciousness at the time of extubation (P = .001), followed by female sex, which also showed to be significant (P = .006).
CONCLUSIONS: Lower level of consciousness (GCS 8T-10T) and female sex were considered risk factors for extubation failure in subjects submitted to elective intracranial surgery.

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Mesh:

Year:  2012        PMID: 22613227     DOI: 10.4187/respcare.01039

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


  4 in total

1.  Perioperative Predictors of Extubation Failure and the Effect on Clinical Outcome After Infratentorial Craniotomy.

Authors:  Ye-Hua Cai; Hai-Tang Wang; Jian-Xin Zhou
Journal:  Med Sci Monit       Date:  2016-07-12

2.  Usefulness of full outline of unresponsiveness score to predict extubation failure in intubated critically-ill patients: A pilot study.

Authors:  Tarek Said; Anis Chaari; Karim Abdel Hakim; Dalia Hamama; William Francis Casey
Journal:  Int J Crit Illn Inj Sci       Date:  2016 Oct-Dec

Review 3.  Predictors of extubation failure in neurocritical patients identified by a systematic review and meta-analysis.

Authors:  Shengnan Wang; Lili Zhang; Kaibin Huang; Zhenzhou Lin; Weiguang Qiao; Suyue Pan
Journal:  PLoS One       Date:  2014-12-08       Impact factor: 3.240

4.  Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units.

Authors:  Qin-Yu Zhao; Huan Wang; Jing-Chao Luo; Ming-Hao Luo; Le-Ping Liu; Shen-Ji Yu; Kai Liu; Yi-Jie Zhang; Peng Sun; Guo-Wei Tu; Zhe Luo
Journal:  Front Med (Lausanne)       Date:  2021-05-17
  4 in total

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