Estimating the Damaging Power of High-Stress Ventilation.

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  • Additional Information
    • Affiliation:
      University of Minnesota and Regions Hospital, St. Paul, Minnesota
      Department of Anaesthesiology, Emergency, and Intensive Care Medicine, University of Göttingen, Göttingen, Germany
      Laboratory of Pulmonary Investigation, Carlos Chagas Filho Institute of Biophysics, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
    • Subject Terms:
    • Subject Terms:
    • Abstract:
      Redirection of our clinical attention from the pressures and volumes of the individual cycle to the broader and more inclusive considerations of energy load and power has untapped potential to reduce iatrogenic risk from ventilation (ie, ventilator-induced lung injury). Power is the product of breathing frequency and inflation energy per breath. Yet, while feasible to calculate at the bedside, measuring total power may not prove to be precise enough for accurate prediction of ventilator-induced lung injury, even if normalized to lung capacity (ie, specific power). The same power value can be reached by a multitude of frequency and tidal volume combinations, not all of which carry equal risk of damage. If some arbitrary level of alveolar pressure were accepted as a sharply defined hazard boundary, a rather straightforward geometric analysis theoretically would allow partitioning of overall tidal energy into components above and below a damage threshold. In this discussion, we introduce the concept of quantitative power partitioning and illustrate how tidal energy and power might be deconstructed into their key parts.
    • Journal Subset:
      Allied Health; Blind Peer Reviewed; Double Blind Peer Reviewed; Editorial Board Reviewed; Expert Peer Reviewed; Peer Reviewed; USA
    • ISSN:
      0020-1324
    • MEDLINE Info:
      NLM UID: 7510357
    • Publication Date:
      20200626
    • Publication Date:
      20200630
    • DOI:
      http://dx.doi.org/10.4187/respcare.07860
    • Accession Number:
      144207936
  • Citations
    • ABNT:
      MARINI, J. J.; GATTINONI, L.; ROCCO, P. R. M. Estimating the Damaging Power of High-Stress Ventilation. Respiratory Care, [s. l.], v. 65, n. 7, p. 1046–1052, 2020. DOI 10.4187/respcare.07860. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=rzh&AN=144207936. Acesso em: 14 ago. 2020.
    • AMA:
      Marini JJ, Gattinoni L, Rocco PRM. Estimating the Damaging Power of High-Stress Ventilation. Respiratory Care. 2020;65(7):1046-1052. doi:10.4187/respcare.07860
    • APA:
      Marini, J. J., Gattinoni, L., & Rocco, P. R. M. (2020). Estimating the Damaging Power of High-Stress Ventilation. Respiratory Care, 65(7), 1046–1052. https://doi.org/10.4187/respcare.07860
    • Chicago/Turabian: Author-Date:
      Marini, John J., Luciano Gattinoni, and Patricia R. M. Rocco. 2020. “Estimating the Damaging Power of High-Stress Ventilation.” Respiratory Care 65 (7): 1046–52. doi:10.4187/respcare.07860.
    • Harvard:
      Marini, J. J., Gattinoni, L. and Rocco, P. R. M. (2020) ‘Estimating the Damaging Power of High-Stress Ventilation’, Respiratory Care, 65(7), pp. 1046–1052. doi: 10.4187/respcare.07860.
    • Harvard: Australian:
      Marini, JJ, Gattinoni, L & Rocco, PRM 2020, ‘Estimating the Damaging Power of High-Stress Ventilation’, Respiratory Care, vol. 65, no. 7, pp. 1046–1052, viewed 14 August 2020, .
    • MLA:
      Marini, John J., et al. “Estimating the Damaging Power of High-Stress Ventilation.” Respiratory Care, vol. 65, no. 7, July 2020, pp. 1046–1052. EBSCOhost, doi:10.4187/respcare.07860.
    • Chicago/Turabian: Humanities:
      Marini, John J., Luciano Gattinoni, and Patricia R. M. Rocco. “Estimating the Damaging Power of High-Stress Ventilation.” Respiratory Care 65, no. 7 (July 2020): 1046–52. doi:10.4187/respcare.07860.
    • Vancouver/ICMJE:
      Marini JJ, Gattinoni L, Rocco PRM. Estimating the Damaging Power of High-Stress Ventilation. Respiratory Care [Internet]. 2020 Jul [cited 2020 Aug 14];65(7):1046–52. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=rzh&AN=144207936