2016
DOI: 10.1007/s12028-016-0249-7
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Predictors of Extubation Success in Patients with Posterior Fossa Strokes

Abstract: In posterior fossa stroke patients with a GCS ≤ 6 at the time of intubation and who remain intubated for more than 1 week, extubation is less likely to be successful, and tracheostomy should be considered.

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Cited by 18 publications
(14 citation statements)
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“…This result was similar to other studies that estimate that the process of MV removal takes up about half of the total time of ventilatory support (40)(41)(42) . However, both the weaning time and the total MV time, concerning the date of intubation until the day of extubation, did not show statistically significant differences between the groups.…”
Section: Discussionsupporting
confidence: 92%
“…This result was similar to other studies that estimate that the process of MV removal takes up about half of the total time of ventilatory support (40)(41)(42) . However, both the weaning time and the total MV time, concerning the date of intubation until the day of extubation, did not show statistically significant differences between the groups.…”
Section: Discussionsupporting
confidence: 92%
“…By delaying extubation in the late tracheostomy group in our study, physicians hoped to increase the success rate of extubation (Table 1). Ventilated brain-injured patients are often affected by delayed extubation, as weaning is generally successful; however, extubation fails in approximately 30-40% of cases [21][22][23]. Namen et al found that neurosurgical patients with GCS scores ≥ 8 at extubation were associated with a 75% extubation success rate, increasing 39% for each improvement point [24].…”
Section: Discussionmentioning
confidence: 99%
“…In a review article by Guru et al, a depressed level of consciousness, and not a ventilatory or oxygenation disorder, was the most common indication for MV support. [20][21][22] Some conditions, especially neuromuscular weaknesses, can result in very long durations of MV in patients who do not appear acutely ill. As such, these individuals may be hard to identify using existing models and for these well recognized conditions, such as GBS, 89% of these patients will require PMV. 23 These well-known neuromuscular diseases may represent an independent predictor in itself for PMV and rarely fit into this model.…”
Section: Discussionmentioning
confidence: 99%