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Using Domiciliary Noninvasive Ventilator Data Downloads to Inform Clinical Decision-Making to Optimize Ventilation Delivery and Patient Compliance

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Abstract

Monitoring a patient in long-term non-invasive ventilation (LTNIV) requires the availability and the wide knowledge of tools such as nocturnal pulse oximetry, polysomnography/polygraphy (PSG/PG), capnography and arterial blood gas analysis (ABG). During the last few years, some manufacturers have incorporated in their ventilators special softwares that are able to detect, during non-invasive ventilation (NIV), respiratory parameters such as air leaks, residual apnoeic/hypopnoeic events and the patient’s daily compliance in the ventilator’s utilization. The clinician’s skills are then necessary for the cautious evaluation and interpretation of this data in order to improve the ventilator’s settings.

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References

  1. Sanders MH, Kenn N. Obstructive sleep apnea treated by independently adjusted inspiratory and expiratory positive airway pressures via nasal mask. Physiologic and clinical implications. Chest. 1990;98:317–24..

    Google Scholar 

  2. Janssens JP, Derivaz S, Breitenstein E, et al. Changing patterns in long-term non-invasive ventilation: a 7 years prospective study in the Geneve lake area. Chest. 2003;123:67–79.

    Google Scholar 

  3. Tsolaki V, Pastaka C, Kostinas K, et al. Non-invasive ventilation in chronic respiratory failure: effects on quality of life. Respiration. 2011;81:402–10.

    Google Scholar 

  4. Amin R, Sayal P, Syed F, et al. Pediatric long-term home mechanical ventilation: twenty years of follow-up from one Canadian center. Pediatr Pulmonol. 2014;49(8):816–24.

    Google Scholar 

  5. Punjabi NM, Newman AB, Young TB, et al. Sleep-disordered breathing and cardiovascular disease: an outcome-based definition of hypopneas. Am J Respir Crit Care Med. 2008;177(10):1150–5.

    Google Scholar 

  6. Fu ES, Downs JB, Schweiger JW, et al. Supplemental oxygen impairs detection of hypoventilation by pulse oximetry. Chest. 2004;126(5):1552–8.

    Google Scholar 

  7. Gonzalez C, Ferris G, Diaz J, et al. Kyphoscoliotic ventilatory insufficiency: effect of long-term intermittent positive-pressure ventilation. Chest. 2003;124(3):857–62.

    Google Scholar 

  8. Berry RB, Chediak A, Brown LK, et al. NPPV titration task force of the american academy of sleep medicine. Best clinical practices for the sleep center adjustement of non-invasive positive pressure ventilation (NPPV) in stable chronic alveolar hypoventilation syndromes. J Clin Sleep Med. 2010;6(5):491–509.

    Google Scholar 

  9. Rabec C, Georges M, Kabeya NK, et al. Evaluating non-invasive ventilation using a monitoring system coupled to a ventilation: a bench-to-bedside study. Eur Respir J. 2009;34(4):902–13.

    Google Scholar 

  10. Contal O, Vignaux L, Combescure C, et al. Monitoring of a non-invasive ventilation by built-in software of home bilevel ventilators: a bench study.Chest 2012;141(2):469–76.

    Google Scholar 

  11. Pasquina P, Adlen D, Farr P, et al. What does built-in software of home ventilators tell us? An observational study of 150 patients on home ventilation. Respiration. 2012;83(4):293–9.

    Google Scholar 

  12. Borel JC, Sabil A, Janssens JP, et al. Intentional leaks in industrial masks have a significant impact on efficacy of bilevel non-invasive ventilation: a bench test study. Chest. 2009;135(3):669–77.

    Google Scholar 

  13. Gonzales-Bermejo J, Janssens JP, Pepin JL, et al. Proposal for a systematic analysis of polygraphy or polysomnography for identifying and scoring abnormal events occurring during non-invasive ventilation. Thorax. 2012;67(6):546–52.

    Google Scholar 

  14. Sanders MH, Kern N. Obstructive sleep apnea treated by independently adjusted inspiratory and expiratory positive airway pressures via nasal mask. Chest 1990;98(2):317–24.

    Google Scholar 

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Correspondence to Fabrizio Rao .

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Rao, F. (2020). Using Domiciliary Noninvasive Ventilator Data Downloads to Inform Clinical Decision-Making to Optimize Ventilation Delivery and Patient Compliance. In: Esquinas, A.M., et al. Noninvasive Ventilation in Sleep Medicine and Pulmonary Critical Care. Springer, Cham. https://doi.org/10.1007/978-3-030-42998-0_12

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  • DOI: https://doi.org/10.1007/978-3-030-42998-0_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-42997-3

  • Online ISBN: 978-3-030-42998-0

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