Abstract
Ventilation management is the process of evaluating the adequacy of the supplied ventilation, based on patient needs, clinical personnel experience and expertise, and available protocols. Ventilation settings are adapted to patient pathology and lung mechanical properties. The aim of the present paper is to develop a simple method to rapidly classify patients, according to their lung mechanical properties, into three main categories, namely COPD, ALI-ARDS and normal lungs. Real patient flow and pressure ventilation data were recorded in two different ICUs. Data were classified with the assistance of clinical personnel into the three categories. A Matlab toolbox was employed for calculating, based on the recorded data, the dynamic changes in lung compliance (C) and resistance (R) during ventilation cycle. The resulted waveforms of dynamic changes in C and R, were analyzed making use of their visual presentation, their audio reproduction and their Fourier analysis, for identifying the most appropriate approach for patient classification. Trials performed on recorded data have shown that visual presentation and audio reproduction of the acquired waveforms lead to adequate information for classifying the patients into one of the three lung-conditions related main categories.
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References
Bellingan G, Finney S.J (2006), “Acute Respiratory Distress Syndrome”, in Encyclopedia of Respiratory Medicine, ed Laurent G.J & Shapiro S.D, Elsevior Ltd, pp 11–19.
Lechin A.E, Varon J, (1994), “Adult Respiratory Distress Syndrome (ARDS): The Basics”, The Journal of Emergency Medicine, vol 12, pp 63–68.
Zwischenberger J.B (2006), “Options for the Management of ARDS: Introduction”, Thoracic & Cardiovascular Surgery, vol 8(1), pp 1
Hammer J, (2006), “ARDS-Long term follow up”, Paediatric Respiratory Reviews, vol 75, pp 5192–5193.
Barnes P.J (2006), “Chronic Obstructive Pulmonary Disease”, in Encyclopedia of Respiratory Medicine, ed Wedzicha J.A & Hurst J.R, Elsevior Ltd, pp 439–443.
Hess D.R., Kacmarek R.M. (2002), “essentials of mechanical ventilation”, 2nd edition, McGraw-Hill companies, ISBN 0-07-135229-5.
Ambrosino N, Simonds A, (2007), “The clinical management in extremely severe COPD”, Respiratory Medicine, vol 101, pp 1613–1624.
Gursel G, (2005), “Determinants of the Length of Mechanical Ventilation in Patients with COPD in the Intensive Care Unit”, Respiration, vol 72, pp 61–67.
Plant P.K, Elliot M.W, (2003), “Chronic Obstructive pulmonary disease: Management of ventilatory failure in COPD”, Thorax vol 58, pp 537–542.
Brochard L, Kauss A, Salvador B et al, (1994), “Comparison of three methods of gradual withdrawal from mechanical support during weaning from mechanical ventilation.”, Am. J. Resp. Crit. Care Med., vol 150, pp 896–903.
Butter R., Keenan SP, Inman KJ, et al, (1999), “Is there a preferred technique for weaning the difficult-to-wean patient? A systematic review of the literature.”, Crit. Care Med, vol 27, pp 2331–2336.
Horst HM, Mouro D, Hall-Jenssens RA, Pamukou N, (1998) “Decrease in ventilation time with a standardized weaning protocol”, Arch. Surg. vol 133, pp 483–489.
Amato MBP, Barbos CSV, Medeiros DM et al, (1998) “Effect of protective ventilation strategy on mortality in acute respiratory distress syndrome”, N. Engl. J. Med, vol 338(6), pp 347–354.
ARDS NETWORK, (2000), “Ventilation with lower tidal volumes as compared with traditional tidal volumes for acute lung injury and the acute respiratory distress syndrome.”, N Engl J Med, vol 342, pp 1301–1308.
Nortis: http://www.nortis.net
M. Botsivaly, C. Koutsourakis, B. Spyropoulos, Evaluation of a new technique for the detection of Ventricular Fibrillation and Ventricular Tachycardia, CD-ROM Proceedings of the World Congress on Medical Physics and Biomedical Engineering, TU-CXH-62, July 23–28, 2000, Chicago IL — USA.
Tzavaras A, Weller PR, Spyropoulos B, (2007), “A Neuro-Fuzzy Controller for the estimation of Tidal Volume and Respiration Frequency ventilator settings for COPD patients ventilated in control mode”, 29th IEEE EMBS Conference, Lyon, France.
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Tzavaras, A. et al. (2009). A Classification Attempt of COPD, ALI-ARDS and Normal Lungs of ventilated Patients through Compliance and Resistance over Time Waveform Discrimination. In: Vander Sloten, J., Verdonck, P., Nyssen, M., Haueisen, J. (eds) 4th European Conference of the International Federation for Medical and Biological Engineering. IFMBE Proceedings, vol 22. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89208-3_48
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DOI: https://doi.org/10.1007/978-3-540-89208-3_48
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