Assessment of the agreement between photoplethysmographic and arterial waveform respiratory variation in patients undergoing spine surgery

References

• Perel, A., Pizov, R., and Cotev, S., 1987, Systolic blood pressure variation is a sensitive indicator of hypovolemia in ventilated dogs subjected to graded hemorrhage. Anesthesiology, 67, 498–502
   Web of Science ®Google Scholar
• Preisman, S., DiSegni, E., Vered, Z., and Perel, A., 2002, Left ventricular preload and function during graded haemorrhage and retranfusion in pigs: Analysis of arterial pressure waveform and correlation with echocardiography. British Journal of Anaesthesia, 88, 716–718
   PubMed Web of Science ®Google Scholar
• Marik, P.E., Cavallazzi, R., Vasu, T., and Hirani, A., 2009, Dynamic changes in arterial waveform derived variables and fluid responsiveness in mechanically ventilated patients: A systematic review of the literature. Critical Care Medicine, 37, 2642–2647
   PubMed Web of Science ®Google Scholar
• Cannesson, M., Le Manach, Y., Hofer, C.K., Goarin, J.P., Lehot, J.J., Vallet, B., and Tavernier, B., 2011, Assessing the diagnostic accuracy of pulse pressure variations for the prediction of fluid responsiveness: A “gray zone” approach. Anesthesiology, 115, 231–241
   PubMed Web of Science ®Google Scholar
• Michard, F., 2005, Changes in arterial pressure during mechanical ventilation. Anesthesiology, 103, 419–428; quiz 49–45
   PubMed Web of Science ®Google Scholar
• Auler, JrJ.O., Galas, F., Hajjar, L., Santos, L., Carvalho, T., and Michard, F., 2008, Online monitoring of pulse pressure variation to guide fluid therapy after cardiac surgery. Anesthesia & Analgesia, 106, 1201–1206, table of contents
   PubMed Web of Science ®Google Scholar
• Hofer, C.K., Senn, A., Weibel, L., and Zollinger, A., 2008, Assessment of stroke volume variation for prediction of fluid responsiveness using the modified FloTrac and PiCCOplus system. Critical Care, 12, R82
   Google Scholar
• Maguire, S., Rinehart, J., Vakharia, S., and Cannesson, M., 2011, Technical communication: Respiratory variation in pulse pressure and plethysmographic waveforms: Intraoperative applicability in a North American academic center. Anesthesia & Analgesia, 112, 94–96
   PubMed Web of Science ®Google Scholar
• Talke, P., Nichols, JrR.J., and Traber, D.L., 1990, Does measurement of systolic blood pressure with a pulse oximeter correlate with conventional methods? Journal of Clinical Monitoring, 6, 5–9
   Google Scholar
• Wallace, C.T., Baker, J.D.3rd, Alpert, C.C., Tankersley, S.J., Conroy, J.M., and Kerns, R.E., 1987, Comparison of blood pressure measurement by Doppler and by pulse oximetry techniques. Anesthesia & Analgesia, 66, 1018–1019
   PubMed Web of Science ®Google Scholar
• Jonsson, B., Laurent, C., Skau, T., and Lindberg, L.G., 2005, A new probe for ankle systolic pressure measurement using photoplethysmography (PPG). Annals of Biomedical Engineering, 33, 232–239
   PubMed Web of Science ®Google Scholar
• Awad, A.A., Haddadin, A.S., Tantawy, H., Badr, T.M., Stout, R.G., Silverman, D.G., and Shelley, K.H., 2007, The relationship between the photoplethysmographic waveform and systemic vascular resistance. Journal of Clinical Monitoring & Computing, 21, 365–372
   Google Scholar
• Shelley, K.H., 2007, Photoplethysmography: Beyond the calculation of arterial oxygen saturation and heart rate. Anesthesia & Analgesia, 105, S31–36, tables of contents
   PubMed Web of Science ®Google Scholar
• Cannesson, M., Desebbe, O., Rosamel, P., Delannoy, B., Robin, J., Bastien, O., and Lehot, J.J., 2008, Pleth variability index to monitor the respiratory variations in the pulse oximeter plethysmographic waveform amplitude and predict fluid responsiveness in the operating theatre. British Journal of Anaesthesia, 101, 200–206
   PubMed Web of Science ®Google Scholar
• Zimmermann, M., Feibicke, T., Keyl, C., Prasser, C., Moritz, S., Graf, B.M., and Wiesenack, C., 2010, Accuracy of stroke volume variation compared with pleth variability index to predict fluid responsiveness in mechanically ventilated patients undergoing major surgery. European Journal of Anaesthesiology, 27, 555–561
   PubMed Web of Science ®Google Scholar
• Keller, G., Cassar, E., Desebbe, O., Lehot, J.J., and Cannesson, M., 2008, Ability of pleth variability index to detect hemodynamic changes induced by passive leg raising in spontaneously breathing volunteers. Critical Care, 12, R37
   Google Scholar
• Hood, J.A., and Wilson, R.J., 2011, Pleth variability index to predict fluid responsiveness in colorectal surgery. Anesthesia & Analgesia, 113, 1058–1063
   PubMed Web of Science ®Google Scholar
• Loupec, T., Nanadoumgar, H., Frasca, D., Petitpas, F., Laksiri, L., Baudouin, D., Debaene, B., Dahyot-Fizelier, C., and Mimoz, O., 2011, Pleth variability index predicts fluid responsiveness in critically ill patients. Critical Care Medicine, 39, 294–299
   PubMed Web of Science ®Google Scholar
• Broch, O., Bein, B., Gruenewald, M., Hocker, J., Schottler, J., Meybohm, P., Steinfath, M., and Renner, J., 2011, Accuracy of the pleth variability index to predict fluid responsiveness depends on the perfusion index. Acta Anaesthesiologica Scandinavica, 55, 686–693
   Google Scholar
• Hoiseth, L.O., Hoff, I.E., Skare, O., Kirkeboen, K.A., and Landsverk, S.A., 2011, Photoplethysmographic and pulse pressure variations during abdominal surgery. Acta Anaesthesiologica Scandinavica, 55, 1221–1230
   Google Scholar
• Awad, A.A., Ghobashy, M.A., Ouda, W., Stout, R.G., Silverman, D.G., and Shelley, K.H., 2001, Different responses of ear and finger pulse oximeter wave form to cold pressor test. Anesthesia & Analgesia, 92, 1483–1486
   PubMed Web of Science ®Google Scholar
• Cannesson, M., Besnard, C., Durand, P.G., Bohé, J., and Jacques, D., 2005, Relation between respiratory variations in pulse oximetry plethysmographic waveform amplitude and arterial pulse pressure in ventilated patients. Critical Care, 9, 562–568
   Web of Science ®Google Scholar
• Feissel, M., Teboul, J.L., Merlani, P., Badie, J., Faller, J.P., and Bendjelid, K., 2007, Plethysmographic dynamic indices predict fluid responsiveness in septic ventilated patients. Intensive Care Medicine, 33, 993–999
   Google Scholar
• Cannesson, M., Attof, Y., Rosamel, P., Desebbe, O., Joseph, P., Metton, O., Bastien, O., and Lehot, J.J., 2007, Respiratory variations in pulse oximetry plethysmographic waveform amplitude to predict fluid responsiveness in the operating room. Anesthesiology, 106, 1105–1111
   Google Scholar
• Landsverk, S.A., Hoiseth, L.O., Kvandal, P., Hisdal, J., Skare, O., and Kirkeboen, K.A., 2008, Poor agreement between respiratory variations in pulse oximetry photoplethysmographic waveform amplitude and pulse pressure in intensive care unit patients. Anesthesiology, 109, 849–855
   Google Scholar
• Eubanks, J.D., 2010, Antifibrinolytics in major orthopaedic surgery. Journal of the American Academy of Orthopeadic Surgeons, 18, 132–138
   Google Scholar
• Feldman, J.M., Sussman, E., Singh, D., and Friedman, B.J., 2012, Is the pleth variability index a surrogate for pulse pressure variation in a pediatric population undergoing spine fusion? Paediatric Anaesthesia, 22, 250–255
   Google Scholar
• Kleinman, B., 1989, Understanding natural frequency and damping and how they relate to the measurement of blood pressure. Journal of Clinical Monitoring, 5, 137–147
   PubMedGoogle Scholar
• Corporation M. Masimo – PVI Calculation. 2012. Available from: http://www.masimo.com/pvi/pvi_calc.htm
   Google Scholar
• Myles, P.S., and Cui, J., 2007, Using the Bland-Altman method to measure agreement with repeated measures. British Journal of Anaesthesia, 99, 309–311
   PubMed Web of Science ®Google Scholar
• Critchley, L.A., Lee, A., and Ho, A.M., 2010, A critical review of the ability of continuous cardiac output monitors to measure trends in cardiac output. Anesthesia & Analgesia, 111, 1180–1192
   PubMed Web of Science ®Google Scholar
• Tsuchiya, M., Yamada, T., and Asada, A., 2010, Pleth variability index predicts hypotension during anesthesia induction. Acta Anaesthesiologica Scandinavica, 54, 596–602
   Web of Science ®Google Scholar
• Desebbe, O., Boucau, C., Farhat, F., Bastien, O., Lehot, J.J., and Cannesson, M., 2010, The ability of pleth variability index to predict the hemodynamic effects of positive end-expiratory pressure in mechanically ventilated patients under general anesthesia. Anesthesia & Analgesia, 110, 792–798
   PubMed Web of Science ®Google Scholar
• Solus-Biguenet, H., Fleyfel, M., Tavernier, B., Kipnis, E., Onimus, J., Robin, E., Lebuffe, G., Decoene, C., Pruvot, F.R., and Vallet, B., 2006, Non-invasive prediction of fluid responsiveness during major hepatic surgery. British Journal of Anaesthesia, 97, 808–816
   Web of Science ®Google Scholar
• Hengy, B., Gazon, M., Schmitt, Z., Benyoub, K., Bonnet, A., Viale, J.P., and Aubrun, F., 2012, Comparison between respiratory variations in pulse oximetry plethysmographic waveform amplitude and arterial pulse pressure during major abdominal surgery. Anesthesiology, 117, 973–980
   Google Scholar
• Vos, J.J., Kalmar, A.F., Struys, M.M., Wietasch, J.K., Hendriks, H.G., and Scheeren, T.W., 2013, Comparison of arterial pressure and plethysmographic waveform-based dynamic preload variables in assessing fluid responsiveness and dynamic arterial tone in patients undergoing major hepatic resection. British Journal of Anaesthesia, 110, 940--6
   Google Scholar
• Lopes, M.R., Oliveira, M.A., Pereira, V.O., Lemos, I.P., Auler, JrJ.O., and Michard, F., 2007, Goal-directed fluid management based on pulse pressure variation monitoring during high-risk surgery: A pilot randomized controlled trial. Critical Care, 11, R100
   PubMed Web of Science ®Google Scholar
• Benes, J., Chytra, I., Altmann, P., Hluchy, M., Kasal, E., Svitak, R., Pradl, R., and Stepan, M., 2010, Intraoperative fluid optimization using stroke volume variation in high risk surgical patients: Results of prospective randomized study. Critical Care, 14, R118
   PubMed Web of Science ®Google Scholar
• Forget, P., Lois, F., and de Kock, M., 2010, Goal-directed fluid management based on the pulse oximeter-derived pleth variability index reduces lactate levels and improves fluid management. Anesthesia & Analgesia, 111, 910–914
   PubMed Web of Science ®Google Scholar
• Cannesson, M., Awad, A.A., and Shelley, K., 2009, Oscillations in the plethysmographic waveform amplitude: Phenomenon hides behind artifacts. Anesthesiology, 111, 206–207; author reply 7–8
   Google Scholar
• Walton, Z.D., Kyriacou, P.A., Silverman, D.G., and Shelley, K.H., 2010, Measuring venous oxygenation using the photoplethysmograph waveform. Journal of Clinical Monitoring & Computing, 24, 295–303
   Google Scholar
• Mark, J.B., 1989, Systolic venous waves cause spurious signs of arterial hemoglobin desaturation. Anesthesiology, 71, 158–160
   Google Scholar
• Phillips, J.P., Belhaj, A., Shafqat, K., Langford, R.M., Shelley, K.H., and Kyriacou, P.A., 2012, Modulation of finger photoplethysmographic traces during forced respiration: Venous blood in motion? Conference Proceedings IEEE Engineering in Medicine and Biology Society, 2012, 3644–3647
   Google Scholar
• Shafqat, K., Langford, R.M., Pal, S.K., and Kyriacou, P.A., 2012, Estimation of venous oxygenation saturation using the finger Photoplethysmograph (PPG) waveform. Conference Proceedings IEEE Engineering in Medicine and Biology Society, 2012, 2905–2908
   Google Scholar
• Thiele, R.H., Tucker-Schwartz, J.M., Lu, Y., Gillies, G.T., and Durieux, M.E., 2001, Technical communication: Transcutaneous regional venous oximetry: A feasibility study. Anesthesia & Analgesia, 112, 1353–1357
   Google Scholar