OBJECTIVES: The value of visual inspection of ventilator waveforms in detecting patient-ventilator asynchronies in the intensive care unit has never been systematically evaluated. This study aims to assess intensive care unit physicians' ability to identify patient-ventilator asynchronies through ventilator waveforms. DESIGN: Prospective observational study. SETTING: Intensive care unit of a University Hospital. PATIENTS: Twenty-four patients receiving mechanical ventilation for acute respiratory failure. INTERVENTION: Forty-three 5-min reports displaying flow-time and airway pressure-time tracings were evaluated by 10 expert and 10 nonexpert, i.e., residents, intensive care unit physicians. The asynchronies identified by experts and nonexperts were compared with those ascertained by three independent examiners who evaluated the same reports displaying, additionally, tracings of diaphragm electrical activity. MEASUREMENTS AND MAIN RESULTS: Data were examined according to both breath-by-breath analysis and overall report analysis. Sensitivity, specificity, and positive and negative predictive values were determined. Sensitivity and positive predictive value were very low with breath-by-breath analysis (22% and 32%, respectively) and fairly increased with report analysis (55% and 44%, respectively). Conversely, specificity and negative predictive value were high with breath-by-breath analysis (91% and 86%, respectively) and slightly lower with report analysis (76% and 82%, respectively). Sensitivity was significantly higher for experts than for nonexperts for breath-by-breath analysis (28% vs. 16%, p < .05), but not for report analysis (63% vs. 46%, p = .15). The prevalence of asynchronies increased at higher ventilator assistance and tidal volumes (p < .001 for both), whereas it decreased at higher respiratory rates and diaphragm electrical activity (p < .001 for both). At higher prevalence, sensitivity decreased significantly (p < .001). CONCLUSIONS: The ability of intensive care unit physicians to recognize patient-ventilator asynchronies was overall quite low and decreased at higher prevalence; expertise significantly increased sensitivity for breath-by-breath analysis, whereas it only produced a trend toward improvement for report analysis.
OBJECTIVES: The value of visual inspection of ventilator waveforms in detecting patient-ventilator asynchronies in the intensive care unit has never been systematically evaluated. This study aims to assess intensive care unit physicians' ability to identify patient-ventilator asynchronies through ventilator waveforms. DESIGN: Prospective observational study. SETTING: Intensive care unit of a University Hospital. PATIENTS: Twenty-four patients receiving mechanical ventilation for acute respiratory failure. INTERVENTION: Forty-three 5-min reports displaying flow-time and airway pressure-time tracings were evaluated by 10 expert and 10 nonexpert, i.e., residents, intensive care unit physicians. The asynchronies identified by experts and nonexperts were compared with those ascertained by three independent examiners who evaluated the same reports displaying, additionally, tracings of diaphragm electrical activity. MEASUREMENTS AND MAIN RESULTS: Data were examined according to both breath-by-breath analysis and overall report analysis. Sensitivity, specificity, and positive and negative predictive values were determined. Sensitivity and positive predictive value were very low with breath-by-breath analysis (22% and 32%, respectively) and fairly increased with report analysis (55% and 44%, respectively). Conversely, specificity and negative predictive value were high with breath-by-breath analysis (91% and 86%, respectively) and slightly lower with report analysis (76% and 82%, respectively). Sensitivity was significantly higher for experts than for nonexperts for breath-by-breath analysis (28% vs. 16%, p < .05), but not for report analysis (63% vs. 46%, p = .15). The prevalence of asynchronies increased at higher ventilator assistance and tidal volumes (p < .001 for both), whereas it decreased at higher respiratory rates and diaphragm electrical activity (p < .001 for both). At higher prevalence, sensitivity decreased significantly (p < .001). CONCLUSIONS: The ability of intensive care unit physicians to recognize patient-ventilator asynchronies was overall quite low and decreased at higher prevalence; expertise significantly increased sensitivity for breath-by-breath analysis, whereas it only produced a trend toward improvement for report analysis.
Authors: Lluis Blanch; Bernat Sales; Jaume Montanya; Umberto Lucangelo; Oscar Garcia-Esquirol; Ana Villagra; Encarna Chacon; Anna Estruga; Massimo Borelli; Ma Jose Burgueño; Joan C Oliva; Rafael Fernandez; Jesus Villar; Robert Kacmarek; Gastón Murias Journal: Intensive Care Med Date: 2012-05 Impact factor: 17.440
Authors: Lluís Blanch; Ana Villagra; Bernat Sales; Jaume Montanya; Umberto Lucangelo; Manel Luján; Oscar García-Esquirol; Encarna Chacón; Anna Estruga; Joan C Oliva; Alberto Hernández-Abadia; Guillermo M Albaiceta; Enrique Fernández-Mondejar; Rafael Fernández; Josefina Lopez-Aguilar; Jesús Villar; Gastón Murias; Robert M Kacmarek Journal: Intensive Care Med Date: 2015-02-19 Impact factor: 17.440
Authors: Jeremy R Beitler; Scott A Sands; Stephen H Loring; Robert L Owens; Atul Malhotra; Roger G Spragg; Michael A Matthay; B Taylor Thompson; Daniel Talmor Journal: Intensive Care Med Date: 2016-06-24 Impact factor: 17.440