학술논문

Noninvasive work of breathing improves prediction of post-extubation outcome.
Document Type
Article
Source
Intensive Care Medicine. Feb2012, Vol. 38 Issue 2, p248-255. 8p. 5 Charts, 1 Graph.
Subject
*EXTUBATION
*CATHETERIZATION
*RESPIRATION
*BREATHING exercises
*AIRWAY (Anatomy)
Language
ISSN
0342-4642
Abstract
Purpose: We hypothesized that non-invasively determined work of breathing per minute (WOB/min) (esophageal balloon not required) may be useful for predicting extubation outcome, i.e., appropriate work of breathing values may be associated with extubation success, while inappropriately increased values may be associated with failure. Methods: Adult candidates for extubation were divided into a training set ( n = 38) to determine threshold values of indices for assessing extubation and a prospective validation set ( n = 59) to determine the predictive power of the threshold values for patients successfully extubated and those who failed extubation. All were evaluated for extubation during a spontaneous breathing trial (5 cmHO pressure support ventilation, 5 cmHO positive end expiratory pressure) using routine clinical practice standards. WOB/min data were blinded to attending physicians. Area under the receiver operating characteristic curves (AUC), sensitivity, specificity, and positive and negative predictive values of all extubation indices were determined. Results: AUC for WOB/min was 0.96 and significantly greater ( p < 0.05) than AUC for breathing frequency at 0.81, tidal volume at 0.61, breathing frequency-to-tidal volume ratio at 0.73, and other traditionally used indices. WOB/min had a specificity of 0.83, the highest sensitivity at 0.96, positive predictive value at 0.84, and negative predictive value at 0.96 compared to all indices. For 95% of those successfully extubated, WOB/min was ≤10 J/min. Conclusions: WOB/min had the greatest overall predictive accuracy for extubation compared to traditional indices. WOB/min warrants consideration for use in a complementary manner with spontaneous breathing pattern data for predicting extubation outcome. [ABSTRACT FROM AUTHOR]