A Prospective, Longitudinal Study Evaluating the Efficacy of an Automated Secretion Removal Technology.

BACKGROUND: Endotracheal suctioning causes discomfort, is associated with adverse effects, and is resource-demanding. An artificial secretion removal method, known as an automated cough, has been developed, which applies rapid, automated deflation, and inflation of the endotracheal tube cuff during...

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Publicado en:Respiratory Care Vol. 69; no. 8; pp. 931 - 937
Autores principales: Sinnige, Jante S., Karbing, Dan S., Valk, Christel M. A., Schultz, Marcus J., Rees, Stephen E., Paulus, Frederique
Formato: research tables/charts Journal Article
Publicado: Mary Ann Liebert, Inc. Aug2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Aug2024
      vid: 69
      iid: 8
      pid: 1365
      pub: Mary Ann Liebert, Inc.
      place: New Rochelle, New York
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        10.4187/respcare.11584
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        atl: A Prospective, Longitudinal Study Evaluating the Efficacy of an Automated Secretion Removal Technology.
      aug:
        au:
          Sinnige, Jante S.
          Karbing, Dan S.
          Valk, Christel M. A.
          Schultz, Marcus J.
          Rees, Stephen E.
          Paulus, Frederique
        affil: Department of Intensive Care, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
      sug:
        subj:
          Suctioning, Endotracheal Methods
          Automation
          Technology, Medical
          Secretions
          Treatment Outcomes
          Human
          Male
          Female
          Adult
          Middle Age
          Aged
          Prospective Studies
          Ventilation
          Respiration, Artificial Equipment and Supplies
          Adverse Health Care Event
          Descriptive Statistics
          Inspiration, Respiratory Evaluation
          Suctioning, Endotracheal
          Confidence Intervals
          Mann-Whitney U Test
          T-Tests
          Wilcoxon Rank Sum Test
          Data Analysis Software
          Funding Source
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Aged: 65+ years
          Male
          Female
      ab: BACKGROUND: Endotracheal suctioning causes discomfort, is associated with adverse effects, and is resource-demanding. An artificial secretion removal method, known as an automated cough, has been developed, which applies rapid, automated deflation, and inflation of the endotracheal tube cuff during the inspiratory phase of mechanical ventilation. This method has been evaluated in the hands of researchers but not when used by attending nurses. The aim of this study was to explore the efficacy of the method over the course of patient management as part of routine care. METHODS: This prospective, longitudinal, interventional study recruited 28 subjects who were intubated and mechanically ventilated. For a maximum of 7 d and on clinical need for endotracheal suctioning, the automatic cough procedure was applied. The subjects were placed in a pressure-regulated ventilation mode with elevated inspiratory pressure, and automated cuff deflation and inflation were performed 3 times, with this repeated if deemed necessary. Success was determined by resolution of the clinical need for suctioning as determined by the attending nurse. Adverse effects were recorded. RESULTS: A total of 84 procedures were performed. In 54% of the subjects, the artificial cough procedure was successful on > 70% of occasions, with 56% of all procedures considered successful. Ninety percent of all the procedures were performed in subjects who were spontaneously breathing and on pressure-support ventilation with peak inspiratory pressures of 20 cm H2O. Rates of adverse events were similar to those seen in the application of endotracheal suctioning. CONCLUSIONS: This study solely evaluated the efficacy of an automated artificial cough procedure, which illustrated the potential for reducing the need for endotracheal suctioning when applied by attending nurses in routine care.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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