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Cited by 489

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Dysfunction of the Diaphragm

Open access
McCool, F. Dennis, Tzelepis, George E.·2012·New England Journal of Medicine

Abstract

As many as 20% of extubated patients require reintubation (ie, extubation failure) within 72 hours of extubation, with the exact prevalence depending on numerous factors. The pathophysiologic basis of extubation failure is often different from the cause of weaning failure. Extubation failure substantially prolongs the duration of mechanical ventilation, intensive care unit stay, and hospital stay, and substantially increases hospital mortality. Therefore, prediction of extubation outcome and prevention of extubation failure may be critically important. Unfortunately, standard weaning tests have not proven sufficiently accurate in predicting extubation outcome. New semi-objective measurements of cough strength and secretion volume can help identify patients at increased risk for extubation failure. It is important to note that mortality increases with reintubation delay, which indicates that clinical worsening may take place during the period without ventilatory support. Therefore, improved outcome may derive from rapid identification of patients at increased risk, followed by expeditious reinstitution of ventilatory support when extubation failure occurs.

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Metadata

Authors
McCool, F. D., & Tzelepis, G. E.
Venue
New England Journal of Medicine
Published
2012-03-08
Volume
366
Issue
10
Pages
932-942
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W2022028038
Cited by
489
References
0
FWCI
20.16
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Dysfunction of the Diaphragm. https://app.cochat.ai/papers/10.1056/nejmra1007236
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McCool, F. D., & Tzelepis, G. E. (2012). Dysfunction of the Diaphragm. New England Journal of Medicine. https://doi.org/10.1056/nejmra1007236

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.