全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Calculation of the Respiratory Modulation of the Photoplethysmogram (DPOP) Incorporating a Correction for Low Perfusion

DOI: 10.1155/2014/980149

Full-Text   Cite this paper   Add to My Lib

Abstract:

DPOP quantifies respiratory modulations in the photoplethysmogram. It has been proposed as a noninvasive surrogate for pulse pressure variation (PPV) used in the prediction of the response to volume expansion in hypovolemic patients. The correlation between DPOP and PPV may degrade due to low perfusion effects. We implemented an automated DPOP algorithm with an optional correction for low perfusion. These two algorithm variants (DPOPa and DPOPb) were tested on data from 20 mechanically ventilated OR patients split into a benign “stable region” subset and a whole record “global set.” Strong correlation was found between DPOP and PPV for both algorithms when applied to the stable data set: for DPOPa/DPOPb. However, a marked improvement was found when applying the low perfusion correction to the global data set: for DPOPa/DPOPb. Sensitivities, Specificities, and AUCs were 0.86, 0.70, and 0.88 for DPOPa/stable region; 0.89, 0.82, and 0.92 for DPOPb/stable region; 0.81, 0.61, and 0.73 for DPOPa/global region; 0.83, 0.76, and 0.86 for DPOPb/global region. An improvement was found in all results across both data sets when using the DPOPb algorithm. Further, DPOPb showed marked improvements, both in terms of its values, and correlation with PPV, for signals exhibiting low percent modulations. 1. Introduction DPOP (Delta-POP or ΔPOP) is a physiological parameter calculated from the pulse oximeter signal—the photoplethysmogram or “pleth”—which measures the strength of respiratory modulations present in the waveform. The parameter has been shown to be useful as an index of fluid responsiveness with many studies showing favourable correlation between it and pulse pressure variation (PPV), often used in the determination of the response to volume expansion [1–7]. PPV is, however, an invasive parameter requiring an arterial line, whereas a measure based on the pulse oximeter would provide an entirely noninvasive technology. This is the main driver of the current interest in this area. Cannesson et al. [8] suggested DPOP as measure of the “respiratory variation in pulse oximetry plethysmographic (POP) waveform amplitude” and defined it as follows: where AMP is the amplitude of the cardiac pulse waveforms in the pleth, . DPOP is usually expressed as a percentage. Note that the equation for DPOP has the same mathematical formulation as PPV [9, 10] and other similar formulations for pleth-based fluid responsiveness parameter were proposed by other groups at around the same time as Cannesson’s 2005 paper [11, 12]. The basic computation of DPOP, expressed by (1), is

References

[1]  M. Cannesson, Y. Attof, P. Rosamel et al., “Respiratory variations in pulse oximetry plethysmographic waveform amplitude to predict fluid responsiveness in the operating room,” Anesthesiology, vol. 106, no. 6, pp. 1105–1111, 2007.
[2]  M. Cannesson, O. Desebbe, M. Hachemi, D. Jacques, O. Bastien, and J.-J. Lehot, “Respiratory variations in pulse oximeter waveform amplitude are influenced by venous return in mechanically ventilated patients under general anaesthesia,” European Journal of Anaesthesiology, vol. 24, no. 3, pp. 245–251, 2007.
[3]  M. Cannesson, B. Delannoy, A. Morand et al., “Does the pleth variability index indicate the respiratory-induced variation in the plethysmogram and arterial pressure waveforms?” Anesthesia and Analgesia, vol. 106, no. 4, pp. 1189–1194, 2008.
[4]  M. Feissel, J.-L. Teboul, P. Merlani, J. Badie, J.-P. Faller, and K. Bendjelid, “Plethysmographic dynamic indices predict fluid responsiveness in septic ventilated patients,” Intensive Care Medicine, vol. 33, no. 6, pp. 993–999, 2007.
[5]  G. A. Westphal, E. Silva, A. R. Gon?alves, M. C. Filho, and L. F. Figueiredo, “Pulse oximetry wave variation as a noninvasive tool to assess volume status in cardiac surgery,” Clinics, vol. 64, no. 4, pp. 337–343, 2009.
[6]  L. ?. H?iseth, I. E. Hoff, ?. Skare, K. A. Kirkeb?en, and S. A. Landsverk, “Photoplethysmographic and pulse pressure variations during abdominal surgery,” Acta Anaesthesiologica Scandinavica, vol. 55, no. 10, pp. 1221–1230, 2011.
[7]  J. R. Chandler, E. Cooke, C. Petersen et al., “Pulse oximeter plethysmograph variation and its relationship to the arterial waveform in mechanically ventilated children,” Journal of Clinical Monitoring and Computing, vol. 26, no. 3, pp. 145–151, 2012.
[8]  M. Cannesson, C. Besnard, P. G. Durand, J. Bohé, and D. Jacques, “Relation between respiratory variations in pulse oximetry plethysmographic waveform amplitude and arterial pulse pressure in ventilated patients,” Critical Care, vol. 9, no. 5, pp. R562–R568, 2005.
[9]  F. Michard, D. Chemla, C. Richard et al., “Clinical use of respiratory changes in arterial pulse pressure to monitor the hemodynamic effects of PEEP,” The American Journal of Respiratory and Critical Care Medicine, vol. 159, no. 3, pp. 935–939, 1999.
[10]  F. Michard, S. Boussat, D. Chemla et al., “Relation between respiratory changes in arterial pulse pressure and fluid responsiveness in septic patients with acute circulatory failure,” American Journal of Respiratory and Critical Care Medicine, vol. 162, no. 1, pp. 134–138, 2000.
[11]  L. F. de Figueiredo, E. Silva, and M. Rocha, “Pulse oximetry wave respiratory variations for the assessment of volume status in patients under mechanical ventilation,” Journal of Critical Care, vol. 32, p. 96, 2004.
[12]  G. Natalini, A. Rosano, M. E. Franceschetti, P. Facchetti, and A. Bernardini, “Variations in arterial blood pressure and photoplethysmography during mechanical ventilation,” Anesthesia & Analgesia, vol. 103, no. 5, pp. 1182–1188, 2006.
[13]  P. S. Addison, J. N. Watson, M. L. Mestek, and R. S. Mecca, “Developing an algorithm for pulse oximetry derived respiratory rate (RRoxi): a healthy volunteer study,” Journal of Clinical Monitoring and Computing, vol. 26, no. 1, pp. 45–51, 2012.
[14]  S. A. Landsverk, L. O. Hoiseth, P. Kvandal, J. Hisdal, O. Skare, and K. A. Kirkeboen, “Poor agreement between respiratory variations in pulse oximetry photoplethysmographic waveform amplitude and pulse pressure in intensive care unit patients,” Anesthesiology, vol. 109, no. 5, pp. 849–855, 2008.
[15]  B. Hengy, M. Gazon, Z. Schmitt et al., “Comparison between respiratory variations in pulse oximetry plethysmographic waveform amplitude and arterial pulse pressure during major abdominal surgery,” Anesthesiology, vol. 117, no. 5, pp. 973–980, 2012.
[16]  M. Cannesson, O. Desebbe, and J.-J. Lehot, “Comment on “Plethysmographic dynamic indices predict fluid responsiveness in septic ventilated patients” by Feissel et al.,” Intensive Care Medicine, vol. 33, article 1853, no. 10, 2007.
[17]  S. Delerme, S. Castro, Y. Freund et al., “Relation between pulse oximetry plethysmographic waveform amplitude induced by passive leg raising and cardiac index in spontaneously breathing subjects,” American Journal of Emergency Medicine, vol. 28, no. 4, pp. 505–510, 2010.
[18]  P. S. Addison, J. N. Watson, M. L. Mestek, J. P. Ochs, A. A. Uribe, and S. D. Bergese, “Pulse oximetry-derived respiratory rate in general care floor patients,” Journal of Clinical Monitoring and Computing, 2014.
[19]  M. Briet, P. Boutouyrie, S. Laurent, and G. M. London, “Arterial stiffness and pulse pressure in CKD and ESRD,” Kidney International, vol. 82, no. 4, pp. 388–400, 2012.
[20]  T. Khamdaeng, J. Luo, J. Vappou, P. Terdtoon, and E. E. Konofagou, “Arterial stiffness identification of the human carotid artery using the stress-strain relationship in vivo,” Ultrasonics, vol. 52, no. 3, pp. 402–411, 2012.
[21]  H. Berkenstadt, Z. Friedman, S. Preisman, I. Keidan, D. Livingstone, and A. Perel, “Pulse pressure and stroke volume variations during severe haemorrhage in ventilated dogs,” British Journal of Anaesthesia, vol. 94, no. 6, pp. 721–726, 2005.
[22]  R. Pizov, A. Eden, D. Bystritski, E. Kalina, A. Tamir, and S. Gelman, “Hypotension during gradual blood loss: uaveform variables response and absence of tachycardia,” British Journal of Anaesthesia, vol. 109, no. 6, pp. 911–918, 2012.
[23]  S. Delerme, R. Renault, Y. Le Manach et al., “Variations in pulse oximetry plethysmographic waveform amplitude induced by passive leg raising in spontaneously breathing volunteers,” The American Journal of Emergency Medicine, vol. 25, no. 6, pp. 637–642, 2007.
[24]  O. Desebbe and M. Cannesson, “Using ventilation-induced plethysmographic variations to optimize patient fluid status,” Current Opinion in Anaesthesiology, vol. 21, no. 6, pp. 772–778, 2008.
[25]  O. Broch, B. Bein, M. Gruenewald et al., “Accuracy of the pleth variability index to predict fluid responsiveness depends on the perfusion index,” Acta Anaesthesiologica Scandinavica, vol. 55, no. 6, pp. 686–693, 2011.
[26]  E. P. de Souza Neto, S. Grousson, F. Duflo et al., “Predicting fluid responsiveness in mechanically ventilated children under general anaesthesia using dynamic parameters and transthoracic echocardiography,” British Journal of Anaesthesia, vol. 106, no. 6, pp. 856–864, 2011.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133