Literature DB >> 26134331

Clinical Indicators for Endotracheal Suctioning in Adult Patients Receiving Mechanical Ventilation.

Mary Lou Sole1, Melody Bennett2, Suzanne Ashworth2.   

Abstract

BACKGROUND: Critically ill patients who need mechanical ventilation require endotracheal suctioning. Guidelines recommend coarse crackles over the trachea and/or the presence of a sawtooth pattern on the flow-volume loop of the ventilator waveform as the best indicators.
OBJECTIVE: To determine clinical cues for endotracheal suctioning in patients who require mechanical ventilation.
METHODS: A descriptive study of 42 adult patients receiving mechanical ventilation. After baseline endotracheal suctioning with a closed-system device, patients were assessed hourly up to 4 hours for guideline-based cues for endotracheal suctioning and lung sounds were auscultated. Endotracheal suctioning was done when cues were detected or 4 hours after baseline suctioning. Secretions were collected, measured, and weighed.
RESULTS: Most patients were male (62%) and white (93%). Mean age was 51 years, and mean duration of mechanical ventilation was 7.5 days. The median time to endotracheal suctioning was 2 hours, and a mean of 4.4 mL of secretions was removed. Three patients had no cues identified but had 1.0 mL or more of secretions. The most frequent cues were crackles over the trachea (88%), sawtooth waveform (33%), coughing (29%), and visible secretions (5%). Cues resolved and physiological parameters improved after suctioning. Coarse lung sounds did not improve.
CONCLUSIONS: Patients receiving mechanical ventilation should be routinely assessed for coarse crackles over the trachea, the most common indicator for endotracheal suctioning. Despite common practice, assessment of lung sounds to identify the need for suctioning is not supported. ©2015 American Association of Critical-Care Nurses.

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Year:  2015        PMID: 26134331     DOI: 10.4037/ajcc2015794

Source DB:  PubMed          Journal:  Am J Crit Care        ISSN: 1062-3264            Impact factor:   2.228


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