Using arterial pressure waveform analysis for the assessment of fluid responsiveness

References

• Weiser TG, Regenbogen SE, Thompson KD et al. An estimation of the global volume of surgery: a modelling strategy based on available data. Lancet372(9633), 139–144 (2008).
   PubMed Web of Science ®Google Scholar
• Pearse RM, Harrison DA, James P et al. Identification and characterisation of the high-risk surgical population in the United Kingdom. Crit. Care10(3), R81 (2006).
   PubMed Web of Science ®Google Scholar
• Bennett-Guerrero E, Welsby I, Dunn TJ et al. The use of a postoperative morbidity survey to evaluate patients with prolonged hospitalization after routine, moderate-risk, elective surgery. Anesth. Analg.89, 514–519 (1999).
   PubMed Web of Science ®Google Scholar
• Gan TJ, Mythen MG. Does peroperative gut-mucosa hypoperfusion cause postoperative nausea and vomiting? Lancet345(8957), 1123–1124 (1995).
   Google Scholar
• Guyton AH, Hall JE. Heart muscle; the heart as a pump and function of the heart valves. In: Textbook of Medical Physiology (11th Edition). Elsevier, Inc., PA, USA, 103–115 (2006).
   Google Scholar
• Guyton AH, Hall JE. Overview of the circulation: medical physics of pressure, flow, and resistance. In: Textbook of Medical Physiology (11th Edition). Elsevier, Inc., PA, USA, 161–170 (2006).
   Google Scholar
• Gan TJ, Soppitt A, Maroof M et al. Goal-directed intraoperative fluid administration reduces length of hospital stay after major surgery. Anesthesiology97(4), 820–826 (2002).
   PubMed Web of Science ®Google Scholar
• Pearse R, Dawson D, Fawcett J, Rhodes A, Grounds RM, Bennet ED. Early goal-directed therapy after major surgery reduces complications and duration of hospital stay. A randomised, controlled trial [ISRCTN38797445]. Crit. Care9, R687–R693 (2005).
   PubMed Web of Science ®Google Scholar
• Wakeling HG, McFall MR, Jenkins CS et al. Intraoperative oesophageal Doppler guided fluid management shortens postoperative hospital stay after major bowel surgery. Br. J. Anaesth.95(5), 634–642 (2005).
   PubMed Web of Science ®Google Scholar
• Rhodes A, Cecconi M, Hamilton M et al. Goal-directed therapy in high-risk surgical patients: a 15-year follow-up study. Intensive Care Med.36(8), 1327–1332 (2010).
   Google Scholar
• Hamilton MA, Cecconi M, Rhodes A. A systematic review and meta-analysis on the use of preemptive hemodynamic intervention to improve postoperative outcomes in moderate and high-risk surgical patients. Anesth. Analg.112(6), 1392–1402 (2010).
   Google Scholar
• Pinsky MR, Payen D. Functional hemodynamic monitoring. Crit. Care9(6), 566–572 (2005).
   PubMed Web of Science ®Google Scholar
• Michard F, Boussat S, Chemla D et al. Relation between respiratory changes in arterial pulse pressure and fluid responsiveness in septic patients with acute circulatory failure. Am. J. Respir. Crit. Care Med.162(1), 134–138 (2000).
   PubMed Web of Science ®Google Scholar
• Cannesson M, Slieker J, Desebbe O et al. The ability of a novel algorithm for automatic estimation of the respiratory variations in arterial pulse pressure to monitor fluid responsiveness in the operating room. Anesth. Analg.106(4), 1195–1200 (2008).
   PubMed Web of Science ®Google Scholar
• Hofer CK, Muller SM, Furrer L, Klaghofer R, Genoni M, Zollinger A. Stroke volume and pulse pressure variation for prediction of fluid responsiveness in patients undergoing off-pump coronary artery bypass grafting. Chest128(2), 848–854 (2005).
   Google Scholar
• Hofer CK, Stenn A, Weibel L, Zollinger A. Assessement of stroke volume variation for prediction of fluid responsiveness using the modified Flo Trac and PiCCOplus system. Crit. Care12, R82 (2008).
   Google Scholar
• Cannesson M, Attof Y, Rosamel P et al. Respiratory variations in pulse oximetry plethysmographic waveform amplitude to predict fluid responsiveness in the operating room. Anesthesiology106(6), 1105–1111 (2007).
   Google Scholar
• Cannesson M, Desebbe O, Rosamel P et al. Pleth variability index to monitor the respiratory variations in the pulse oximeter plethysmographic waveform amplitude and predict fluid responsiveness in the operating theatre. Br. J. Anaesth.101(2), 200–206 (2008).
   PubMed Web of Science ®Google Scholar
• Cannesson M. Arterial pressure variation and goal-directed fluid therapy. J. Cardiothorac. Vasc. Anesth.24(3), 487–497 (2010).
   Google Scholar
• Michard F. Changes in arterial pressure during mechanical ventilation. Anesthesiology103(2), 419–428; quiz 449–415 (2005).
   PubMed Web of Science ®Google Scholar
• Buettner M, Schummer W, Huettemann E, Schenke S, van Hout N, Sakka SG. Influence of systolic-pressure-variation-guided intraoperative fluid management on organ function and oxygen transport. Br. J. Anaesth.101, 194–199 (2008).
   Web of Science ®Google Scholar
• Benes J, Chytra I, Altmann P et al. Intraoperative fluid optimization using stroke volume variation in high risk surgical patients: results of prospective randomized study. Crit. Care14(3), R118 (2010).
   PubMed Web of Science ®Google Scholar
• Forget P, Lois F, de Kock M. Goal-directed fluid management based on the pulse oximeter-derived pleth variability index reduces lactate levels and improves fluid management. Anesth. Analg.111, 910–914 (2010).
   PubMed Web of Science ®Google Scholar
• Cannesson M, Aboy M, Hofer CK, Rehman M. Pulse pressure variation: where are we today? J. Clin. Monit. Comput.25(1), 45–56 (2010).
   Google Scholar
• Boldt J, Lenz M, Kumle B, Papsdorf M. Volume replacement strategies on intensive care units: results from a postal survey. Intensive Care Med.24(2), 147–151 (1998).
   PubMed Web of Science ®Google Scholar
• Michard F, Reuter DA. Assessing cardiac preload or fluid responsiveness? It depends on the question we want to answer. Intensive Care Med.29(8), 1396; author reply 1397 (2003).
   Google Scholar
• Michard F, Ruscio L, Teboul JL. Clinical prediction of fluid responsiveness in acute circulatory failure related to sepsis. Intensive Care Med.27(7), 1238 (2001).
   PubMed Web of Science ®Google Scholar
• Michard F, Teboul JL. Using heart–lung interactions to assess fluid responsiveness during mechanical ventilation. Crit. Care4(5), 282–289 (2000).
   PubMed Web of Science ®Google Scholar
• Michard F, Teboul JL. Predicting fluid responsiveness in ICU patients: a critical analysis of the evidence. Chest121(6), 2000–2008 (2002).
   PubMed Web of Science ®Google Scholar
• Marik PE, Baram M, Vahid B. Does central venous pressure predict fluid responsiveness? A systematic review of the literature and the tale of seven mares. Chest134, 172–178 (2008).
   PubMed Web of Science ®Google Scholar
• Perel A, Pizov R, Cotev S. Systolic blood pressure variation is a sensitive indicator of hypovolemia in ventilated dogs subjected to graded hemorrhage. Anesthesiology67(4), 498–502 (1987).
   Web of Science ®Google Scholar
• Tavernier B, Makhotine O, Lebuffe G, Dupont J, Scherpereel P. Systolic pressure variation as a guide to fluid therapy in patients with sepsis-induced hypotension. Anesthesiology89(6), 1313–1321 (1998).
   PubMed Web of Science ®Google Scholar
• Muller L, Louart G, Bengler C et al. The intrathoracic blood volume index as an indicator of fluid responsiveness in critically ill patients with acute circulatory failure: a comparison with central venous pressure. Anesth. Analg.107, 607–613 (2008).
   Google Scholar
• Osman D, Ridel C, Ray P et al. Cardiac filling pressures are not appropriate to predict hemodynamic response to volume challenge. Crit. Care Med.35(1), 64–68 (2007).
   PubMed Web of Science ®Google Scholar
• Bendjelid K, Romand JA. Fluid responsiveness in mechanically ventilated patients: a review of indices used in intensive care. Intensive Care Med.29(3), 352–360 (2003).
   Google Scholar
• Rick JJ, Burke SS. Respirator paradox. South Med. J.71(11), 1376–1378, 1382 (1978).
   Google Scholar
• Coyle JP, Teplick RS, Long MC, Davison JK. Respiratory variations in systemic arterial pressure as an indicator of volume status. Anesthesiology59, A53 (1983).
   Google Scholar
• Coriat P, Vrillon M, Perel A et al. A comparison of systolic blood pressure variations and echocardiographic estimates of end-diastolic left ventricular size in patients after aortic surgery. Anesth. Analg.78(1), 46–53 (1994).
   Web of Science ®Google Scholar
• Partridge BL. Use of pulse oximetry as a noninvasive indicator of intravascular volume status. J. Clin. Monit.3(4), 263–268 (1987).
   Google Scholar
• Pizov R, Ya’ari Y, Perel A. The arterial pressure waveform during acute ventricular failure and synchronized external chest compression. Anesth. Analg.68(2), 150–156 (1989).
   Google Scholar
• Natalini G, Rosano A, Franschetti ME, Fachetti P, Bernardini A. Variations in arterial blood pressure and photoplethysmography during mechanical ventilation. Anesth. Analg.103(5), 1182–1188 (2006).
   PubMed Web of Science ®Google Scholar
• Natalini G, Rosano A, Taranto M, Faggian B, Vittorielli E, Bernardini A. Arterial versus plethysmographic dynamic indices to test responsiveness for testing fluid administration in hypotensive patients: a clinical trial. Anesth. Analg.103(6), 1478–1484 (2006).
   PubMed Web of Science ®Google Scholar
• Wyffels PA, Durnez PJ, Helderweirt J, Stockman WM, De Kegel D. Ventilation-induced plethysmographic variations predict fluid responsiveness in ventilated postoperative cardiac surgery patients. Anesth. Analg.105(2), 448–452 (2007).
   Google Scholar
• Feissel M, Teboul JL, Merlani P, Badie J, Faller JP, Bendjelid K. Plethysmographic dynamic indices predict fluid responsiveness in septic ventilated patients. Intensive Care Med.33(6), 993–999 (2007).
   Google Scholar
• Solus-Biguenet H, Fleyfel M, Tavernier B et al. Non-invasive prediction of fluid responsiveness during major hepatic surgery. Br. J. Anaesth.97(6), 808–816 (2006).
   Web of Science ®Google Scholar
• Cannesson M, Besnard C, Durand PG, Bohe J, Jacques D. Relation between respiratory variations in pulse oximetry plethysmographic waveform amplitude and arterial pulse pressure in ventilated patients. Crit. Care9(5), R562–R568 (2005).
   Web of Science ®Google Scholar
• De Backer D, Pinsky MR. Can one predict fluid responsiveness in spontaneously breathing patients? Intensive Care Med.33(7), 1111–1113 (2007).
   Google Scholar
• Lamia B, Ochagavia A, Monnet X, Chemla D, Richard C, Teboul JL. Echocardiographic prediction of volume responsiveness in critically ill patients with spontaneously breathing activity. Intensive Care Med.33(7), 1125–1132 (2007).
   Web of Science ®Google Scholar
• Coudray A, Romand JA, Treggiari M, Bendjelid K. Fluid responsiveness in spontaneously breathing patients: a review of indexes used in intensive care. Crit. Care Med.33(12), 2757–2762 (2005).
   Google Scholar
• Charron C, Fessenmeyer C, Cosson C et al. The influence of tidal volume on the dynamic variables of fluid responsiveness in critically ill patients. Anesth. Analg.102(5), 1511–1517 (2006).
   Google Scholar
• De Backer D, Heenen S, Piagnerelli M, Koch M, Vincent JL. Pulse pressure variations to predict fluid responsiveness: influence of tidal volume. Intensive Care Med.31(4), 517–523 (2005).
   PubMed Web of Science ®Google Scholar
• de Waal EE, Rex S, Kruitwagen CL, Kalkman CJ, Buhre WF. Dynamic preload indicators fail to predict fluid responsiveness in open-chest conditions (R3). Crit. Care Med.27, 510–515 (2009).
   Google Scholar
• Duperret S, Lhuillier F, Piriou V et al. Increased intra-abdominal pressure affects respiratory variations in arterial pressure in normovolaemice and hypovolaemic mechanically ventilated pigs. Intensive Care Med.33, 163–171 (2007).
   Web of Science ®Google Scholar
• Durand P, Chevret L, Essouri S, Haas V, Devictor D. Respiratory variations in aortic blood flow predict fluid responsiveness in ventilated children. Intensive Care Med.34, 888–894 (2008).
   Google Scholar
• Reuter DA, Kirchner A, Felbinger TW et al. Usefulness of left ventricular stroke volume variation to assess fluid responsiveness in patients with reduced cardiac function. Crit Care Med.31(5), 1399–1404 (2003).
   PubMed Web of Science ®Google Scholar
• Payen D, Vallee F, Mari A, Richard JC, De Backer D. Can pulse pressure variations really better predict fluid responsiveness than static indices of preload in patients with acute respiratory distress syndrome? Crit. Care Med.37(3), 1178 (2009).
   Google Scholar
• Huang CC, Fu JY, Hu HC et al. Prediction of fluid responsiveness in acute respiratory distress syndrome patients ventilated with low tidal volume and high positive end-expiratory pressure. Crit. Care Med.36(10), 2810–2816 (2008).
   Google Scholar
• Landsverk SA, Hoiseth LO, Kvandal P, Hisdal J, Skare O, Kirkeboen KA. Poor agreement between respiratory variations in pulse oximetry photoplethysmographic waveform amplitude and pulse pressure in intensive care unit patients. Anesthesiology109(5), 849–855 (2008).
   Google Scholar
• Shelley KH, Murray WB, Chang D. Arterial-pulse oximetry loops: a new method of monitoring vascular tone. J. Clin. Monit.13(4), 223–228 (1997).
   Google Scholar
• Cannesson M, Desebbe O, Lehot JJ. Fluid responsiveness using non-invasive predictors during major hepatic surgery. Br. J. Anaesth.98(2), 272–273; author reply 273–274 (2007).
   Google Scholar
• Cannesson M, Desebbe O, Lehot JJ. Fluid responsiveness assessment using the pulse oxymeter waveform: not yet ready for prime time. Anesth. Analg.104(6), 1598–1599; author reply 1599–1600 (2007).
   Google Scholar
• Cannesson M, Desebbe O, Lehot JJ. Comment on ‘Plethysmographic dynamic indices predict fluid responsiveness in septic ventilated patients’ by Feissel et al.Intensive Care Med.33(10), 1853; author reply 1854 (2007).
   Google Scholar
• Landsverk SA, Kvandal P, Bernjak A, Stefanovska A, Kirkeboen KA. The effects of general anesthesia on human skin microcirculation evaluated by wavelet transform. Anesth. Analg.105(4), 1012–1019 (2007).
   Google Scholar
• Brown J, Chappell O. Respiratory Systolic Variation Test to predict fluid responsiveness. Br. J. Anaesth.97(1), 118; author reply 118 (2006).
   Google Scholar
• Perel A, Minkovich L, Preisman S, Abiad M, Segal E, Coriat P. Assessing fluid-responsiveness by a standardized ventilatory maneuver: the respiratory systolic variation test. Anesth. Analg.100(4), 942–945 (2005).
   PubMed Web of Science ®Google Scholar
• Feissel M, Michard F, Faller JP, Teboul JL. The respiratory variation in inferior vena cava diameter as a guide to fluid therapy. Intensive Care Med.30(9), 1834–1837 (2004).
   PubMed Web of Science ®Google Scholar
• Vieillard-Baron A, Chergui K, Rabiller A et al. Superior vena caval collapsibility as a gauge of volume status in ventilated septic patients. Intensive Care Med.30(9), 1734–1739 (2004).
   PubMed Web of Science ®Google Scholar
• Monnet X, Rienzo M, Osman D et al. Passive leg raising predicts fluid responsiveness in the critically ill. Crit. Care Med.34(5), 1402–1407 (2006).
   PubMed Web of Science ®Google Scholar
• Monnet X, Osman D, Ridel C, Lamia B, Richard C, Teboul JL. Predicting volume responsiveness by using the end-expiratory occlusion in mechanically ventilated intensive care unit patients. Crit. Care Med.37(3), 951–956 (2009).
   PubMed Web of Science ®Google Scholar
• Funk DJ, Moretti EW, Gan TJ. Minimally invasive cardiac output monitoring in the perioperative setting. Anesth. Analg.108(3), 887–897 (2009).
   PubMedGoogle Scholar
• Aboy M, McNames J, Thong T, Tsunami D, Ellenby MS, Goldstein B. An automatic beat detection algorithm for pressure signals. IEEE Trans. Biomed. Eng.52(10), 1662–1670 (2005).
   PubMed Web of Science ®Google Scholar
• Alhashemi JA, Cecconi M, della Rocca G, Cannesson M, Hofer CK. Minimally invasive monitoring of cardiac output in the cardiac surgery intensive care unit. Curr. Heart Fail. Rep.7(3), 116–124 (2010).
   Google Scholar
• Auler JO Jr, Galas F, Hajjar L, Santos L, Carvalho T, Michard F. Online monitoring of pulse pressure variation to guide fluid therapy after cardiac surgery. Anesth. Analg.106(4), 1201–1206 (2008).
   PubMed Web of Science ®Google Scholar
• Biais M, Bernard O, Ha JC, Degryse C, Sztark F. Abilities of pulse pressure variations and stroke volume variations to predict fluid responsiveness in prone position during scoliosis surgery. Br. J. Anaesth.104(4), 407–413 (2010).
   Google Scholar
• Biais M, Nouette-Gaulain K, Cottenceau V, Revel P, Sztark F. Uncalibrated pulse contour-derived stroke volume variation predicts fluid responsiveness in mechanically ventilated patients undergoing liver transplantation. Br. J. Anaesth.101(6), 761–768 (2008).
   Google Scholar
• Biais M, Nouette-Gaulain K, Quinart A, Roullet S, Revel P, Sztark F. Uncalibrated stroke volume variations are able to predict the hemodynamic effects of positive end-expiratory pressure in patients with acute lung injury or acute respiratory distress syndrome after liver transplantation. Anesthesiology111(4), 855–862 (2009).
   Google Scholar
• Cannesson M, Delannoy B, Morand A et al. Does the pleth variability index indicate the respiratory induced variation in the plethysmogram and arterial pressure waveforms? Anesth. Analg.106, 1189–1194 (2008).
   Web of Science ®Google Scholar
• Cannesson M, Musard H, Desebbe O et al. The ability of stroke volume variations obtained with Vigileo/FloTrac system to monitor fluid responsiveness in mechanically ventilated patients. Anesth. Analg.108(2), 513–517 (2009).
   Web of Science ®Google Scholar
• Derichard A, Robin E, Tavernier B et al. Automated pulse pressure and stroke volume variations from radial artery: evaluation during major abdominal surgery. Br. J. Anaesth.103(5), 678–684 (2009).
   PubMed Web of Science ®Google Scholar
• Desebbe O, Boucau C, Farhat F, Bastien O, Lehot JJ, Cannesson M. The ability of pleth variability index to predict the hemodynamic effects of positive end-expiratory pressure in mechanically ventilated patients under general anesthesia. Anesth. Analg.110(3), 792–798 (2010).
   PubMed Web of Science ®Google Scholar
• Hofer CK, Senn A, Weibel L, Zollinger A. Assessment of stroke volume variation for prediction of fluid responsiveness using the modified FloTrac and PiCCOplus system. Crit. Care12(3), R82 (2008).
   Google Scholar
• Lahner D, Kabon B, Marschalek C et al. Evaluation of stroke volume variation obtained by arterial pulse contour analysis to predict fluid responsiveness intraoperatively. Br. J. Anaesth.103, 346–351 (2009).
   Google Scholar
• Aboy M, McNames J, Thong T, Phillips CR, Ellenby MS, Goldstein B. A novel algorithm to estimate the pulse pressure variation index deltaPP. IEEE Trans. Biomed. Eng.51(12), 2198–2203 (2004).
   Google Scholar
• Goepfert MS, Reuter DA, Akyol D, Lamm P, Kilger E, Goetz AE. Goal-directed fluid management reduces vasopressor and catecholamine use in cardiac surgery patients. Intensive Care Med.33(1), 96–103 (2007).
   PubMed Web of Science ®Google Scholar
• Brennan JM, Blair JE, Hampole C et al. Radial artery pulse pressure variation correlates with brachial artery peak velocity variation in ventilated subjects when measured by internal medicine residents using hand-carried ultrasound devices. Chest131(5), 1301–1307 (2007).
   Google Scholar
• Marik PE, Cavallazzi R, Vasu T, Hirani A. Dynamic changes in arterial waveform derived variables and fluid responsiveness in mechanically ventilated patients: a systematic review of the literature. Crit. Care Med.37, 2642–2647 (2009).
   PubMed Web of Science ®Google Scholar
• Pinsky MR. At the threshold of noninvasive functional hemodynamic monitoring. Anesthesiology106(6), 1084–1085 (2007).
   Google Scholar
• Bendjelid K, Suter PM, Romand JA. The respiratory change in preejection period: a new method to predict fluid responsiveness. J. Appl. Physiol.96(1), 337–342 (2004).
   PubMed Web of Science ®Google Scholar
• Gouvêa G, Diaz R, Auler L, Toledo R, Martinho JM. Evaluation of the pulse pressure variation index as a predictor of fluid responsiveness during orthotopic liver transplantation. Br. J. Anaesth.103(2), 238–243 (2009).
   Web of Science ®Google Scholar
• Cannesson M, Vallet B, Michard F. Pulse pressure variation and stroke volume variation: from flying blind to flying right? Br. J. Anaesth.103(6), 896–897; author reply 897–899 (2009).
   Google Scholar
• Awad AA, Stout RG, Ghobashy MA, Rezkanna HA, Silverman DG, Shelley KH. Analysis of the ear pulse oximeter waveform. J. Clin. Monit. Comput.20(3), 175–184 (2006).
   Google Scholar
• Biais M, Nouette-Gaulain K, Roullet S, Quinart A, Revel P, Sztark F. A comparison of stroke volume variation measured by Vigileo/FloTrac system and aortic Doppler echocardiography. Anesth. Analg.109(2), 466–469 (2009).
   Google Scholar
• Biais M, Vidil L, Sarrabay P, Cottenceau V, Revel P, Sztark F. Changes in stroke volume induced by passive leg raising in spontaneously breathing patients: comparison between echocardiography and Vigileo/FloTrac device. Crit. Care13(6), R195 (2009).
   Google Scholar
• Monnet X, Rienzo M, Osman D et al. Esophageal Doppler monitoring predicts fluid responsiveness in critically ill ventilated patients. Intensive Care Med.31(9), 1195–1201 (2005).
   PubMed Web of Science ®Google Scholar
• Leather HA, Wouters PF. Oesophageal Doppler monitoring overestimates cardiac output during lumbar epidural anaesthesia. Br. J. Anaesth.86(6), 794–797 (2001).
   Google Scholar
• Pestel G, Fukui K, Hartwich V et al. Automatic algorithm for monitoring systolic pressure variation and difference in pulse pressure. Anesth. Analg.108(6), 1823–1829 (2009).
   Google Scholar
• Mallat J, Pironkov A, Destandau MS, Tavernier B. Systolic pressure variation (Δdown) can guide fluid therapy during pheochromocytoma surgery. Can. J. Anaesth.50(10), 998–1003 (2003).
   Google Scholar
• Deflandre E, Bonhomme V, Hans P. Δdown compared with delta pulse pressure as an indicator of volaemia during intracranial surgery. Br. J. Anaesth.100(2), 245–250 (2008).
   Google Scholar
• Preisman S, Kogan S, Berkenstadt H, Perel A. Predicting fluid responsiveness in patients undergoing cardiac surgery: functional haemodynamic parameters including the Respiratory Systolic Variation Test and static preload indicators. Br. J. Anaesth.95(6), 746–755 (2005).
   PubMed Web of Science ®Google Scholar
• Cannesson M, Besnard C, Durand PG, Bohe J, Jacques D. Relation between respiratory variations in pulse oximetry plethysmographic waveform amplitude and arterial pulse pressure in ventilated patients. Crit. Care9(5), R562–R568 (2005).
   Web of Science ®Google Scholar
• Cannesson M, Desebbe O, Hachemi M, Jacques D, Bastien O, Lehot JJ. Respiratory variations in pulse oximeter waveform amplitude are influenced by venous return in mechanically ventilated patients under general anaesthesia. Eur. J. Anaesthesiol.24(3), 245–251 (2007).
   Google Scholar
• Feissel M, Teboul JL, Bendjelid K. Reply to the comment by Drs. Cannesson et al.Intensive Care Med.33, 1853 (2007).
   Google Scholar
• Zimmermann M, Feibicke T, Keyl C et al. Accuracy of stroke volume variation compared with pleth variability index to predict fluid responsiveness in mechanically ventilated patients undergoing major surgery. Eur. J. Anaesthesiol.27(6), 555–561 (2009).
   Google Scholar
• Keller G, Cassar E, Desebbe O, Lehot JJ, Cannesson M. Ability of pleth variability index to detect hemodynamic changes induced by passive leg raising in spontaneously breathing volunteers. Crit. Care12(2), R37 (2008).
   Google Scholar
• Benomar B, Ouattara A, Estagnasie P, Brusset A, Squara P. Fluid responsiveness predicted by noninvasive bioreactance-based passive leg raise test. Intensive Care Med.36(11), 1875–1881 (2010).
   Google Scholar
• Maguire S, Rinehart J, Vakharia S, Cannesson M. Respiratory variation in pulse pressure and plethysmographic waveforms: intraoperative applicability in a North American academic center. Anesth. Analg.112, 94–96 (2010).
   Google Scholar