title: Using ventilator graphics to identify patient-ventilator asynchrony.
abstract: Patient-ventilator interaction can be described as the relationship between 2 respiratory pumps: (1) the patient's pulmonary system, which is controlled by the neuromuscular system and influenced by the mechanical characteristics of the lungs and thorax, and (2) the ventilator, which is controlled by the ventilator settings and the function of the flow valve. When the 2 pumps function in synchrony, every phase of the breath is perfectly matched. Anything that upsets the harmony between the 2 pumps results in asynchrony and causes patient discomfort and unnecessarily increases work of breathing. This article discusses asynchrony relative to the 4 phases of a breath and illustrates how asynchrony can be identified with the 3 standard ventilator waveforms: pressure, flow, and volume. The 4 phases of a breath are: (1) The trigger mechanism (ie, initiation of the inspiration), which is influenced by the trigger-sensitivity setting, patient effort, and valve responsiveness. (2) The inspiratory-flow phase. During both volume-controlled and pressure-controlled ventilation the patient's flow demand should be carefully evaluated, using the pressure and flow waveforms. (3) Breath termination (ie, the end of the inspiration). Ideally, the ventilator terminates inspiratory flow in synchrony with the patient's neural timing, but frequently the ventilator terminates inspiration either early or late, relative to the patient's neural timing. During volume-controlled ventilation we can adjust variables that affect inspiratory time (eg, peak flow, tidal volume). During pressure-controlled or pressure-support ventilation we can adjust variables that affect when the inspiration terminates (eg, inspiratory time, expiratory sensitivity). (4) Expiratory phase. Patients with obstructive lung disease are particularly prone to developing intrinsic positive end-expiratory pressure (auto-PEEP) and therefore have difficulty triggering the ventilator. Bedside evaluation for the presence of auto-PEEP should be routinely performed and corrective adjustments made when appropriate.
authors.affiliation: Department of Respiratory Care, University of Texas Medical Branch, School of Allied Health Sciences, 301 University Boulevard, Galveston TX 77555-1028, USA. jnilsest@utmb.edu
authors.forename: Jon O
authors.initials: JO
authors.lastname: Nilsestuen
authors.forename: Kenneth D
authors.initials: KD
authors.lastname: Hargett
mesh_terms: D003626:Data Display; D006801:Humans; D008328:Man-Machine Systems; D012120:Respiration Disorders / Q000175:diagnosis* / Q000503:physiopathology / Q000628:therapy*; D012121:Respiration, Artificial / Q000295:instrumentation* / Q000379:methods*; D015656:Respiratory Mechanics; D012122:Ventilators, Mechanical