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Published in: Annals of Intensive Care 1/2021

Open Access 01-12-2021 | Research

Bioreactance reliably detects preload responsiveness by the end-expiratory occlusion test when averaging and refresh times are shortened

Authors: Francesco Gavelli, Alexandra Beurton, Jean-Louis Teboul, Nello De Vita, Danila Azzolina, Rui Shi, Arthur Pavot, Xavier Monnet

Published in: Annals of Intensive Care | Issue 1/2021

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Abstract

Background

The end-expiratory occlusion (EEXPO) test detects preload responsiveness, but it is 15 s long and induces small changes in cardiac index (CI). It is doubtful whether the Starling bioreactance device, which averages CI over 24 s and refreshes the displayed value every 4 s (Starling-24.4), can detect the EEXPO-induced changes in CI (ΔCI). Our primary goal was to test whether this Starling device version detects preload responsiveness through EEXPO. We also tested whether shortening the averaging and refresh times to 8 s and one second, respectively, (Starling-8.1) improves the accuracy of the device in detecting preload responsiveness using EEXPO.

Methods

In 42 mechanically ventilated patients, during a 15-s EEXPO, we measured ∆CI through calibrated pulse contour analysis (CIpulse, PiCCO2 device) and using the Starling device. For the latter, we considered both CIStarling-24.4 from the commercial version and CIStarling-8.1 derived from the raw data. For relative ∆CIStarling-24.4 and ∆CIStarling-8.1 during EEXPO, we calculated the area under the receiver operating characteristic curve (AUROC) to detect preload responsiveness, defined as an increase in CIpulse ≥ 10% during passive leg raising (PLR). For both methods, the correlation coefficient vs. ∆CIpulse was calculated.

Results

Twenty-six patients were preload responders and sixteen non preload-responders. The AUROC for ∆CIStarling-24.4 was significantly lower compared to ∆CIStarling-8.1 (0.680 ± 0.086 vs. 0.899 ± 0.049, respectively; p = 0.027). A significant correlation was observed between ∆CIStarling-8.1 and ∆CIpulse (r = 0.42; p = 0.009), but not between ∆CIStarling-24.4 and ∆CIpulse. During PLR, both ∆CIStarling-24.4 and ∆CIStarling-8.1 reliably detected preload responsiveness.

Conclusions

Shortening the averaging and refresh times of the bioreactance signal to 8 s and one second, respectively, increases the reliability of the Starling device in detection of EEXPO-induced ∆CI.
Trial registration: No. IDRCB:2018-A02825-50. Registered 13 December 2018.
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Literature
1.
go back to reference Teboul J-L, Saugel B, Cecconi M, De Backer D, Hofer CK, Monnet X, et al. Less invasive hemodynamic monitoring in critically ill patients. Intensive Care Med. 2016;42:1350–9.CrossRef Teboul J-L, Saugel B, Cecconi M, De Backer D, Hofer CK, Monnet X, et al. Less invasive hemodynamic monitoring in critically ill patients. Intensive Care Med. 2016;42:1350–9.CrossRef
2.
go back to reference Beurton A, Teboul J-L, Gavelli F, Gonzalez FA, Girotto V, Galarza L, et al. The effects of passive leg raising may be detected by the plethysmographic oxygen saturation signal in critically ill patients. Crit Care. 2019;23:19.CrossRef Beurton A, Teboul J-L, Gavelli F, Gonzalez FA, Girotto V, Galarza L, et al. The effects of passive leg raising may be detected by the plethysmographic oxygen saturation signal in critically ill patients. Crit Care. 2019;23:19.CrossRef
3.
go back to reference Ameloot K, Palmers P-J, Malbrain MLNG. The accuracy of noninvasive cardiac output and pressure measurements with finger cuff: a concise review. Curr Opin Crit Care. 2015;21:232–9.CrossRef Ameloot K, Palmers P-J, Malbrain MLNG. The accuracy of noninvasive cardiac output and pressure measurements with finger cuff: a concise review. Curr Opin Crit Care. 2015;21:232–9.CrossRef
4.
go back to reference Wagner JY, Sarwari H, Schön G, Kubik M, Kluge S, Reichenspurner H, et al. Radial artery applanation tonometry for continuous noninvasive cardiac output measurement: a comparison with intermittent pulmonary artery thermodilution in patients after cardiothoracic surgery. Crit Care Med. 2015;43:1423–8.CrossRef Wagner JY, Sarwari H, Schön G, Kubik M, Kluge S, Reichenspurner H, et al. Radial artery applanation tonometry for continuous noninvasive cardiac output measurement: a comparison with intermittent pulmonary artery thermodilution in patients after cardiothoracic surgery. Crit Care Med. 2015;43:1423–8.CrossRef
5.
go back to reference Monnet X, Bataille A, Magalhaes E, Barrois J, Le Corre M, Gosset C, et al. End-tidal carbon dioxide is better than arterial pressure for predicting volume responsiveness by the passive leg raising test. Intensive Care Med. 2013;39:93–100.CrossRef Monnet X, Bataille A, Magalhaes E, Barrois J, Le Corre M, Gosset C, et al. End-tidal carbon dioxide is better than arterial pressure for predicting volume responsiveness by the passive leg raising test. Intensive Care Med. 2013;39:93–100.CrossRef
6.
go back to reference Saugel B, Vincent J-L. Cardiac output monitoring: how to choose the optimal method for the individual patient. Curr Opin Crit Care. 2018;24:165–72.CrossRef Saugel B, Vincent J-L. Cardiac output monitoring: how to choose the optimal method for the individual patient. Curr Opin Crit Care. 2018;24:165–72.CrossRef
7.
go back to reference Keren H, Burkhoff D, Squara P. Evaluation of a noninvasive continuous cardiac output monitoring system based on thoracic bioreactance. Am J Physiol Heart Circ Physiol. 2007;293:H583-589.CrossRef Keren H, Burkhoff D, Squara P. Evaluation of a noninvasive continuous cardiac output monitoring system based on thoracic bioreactance. Am J Physiol Heart Circ Physiol. 2007;293:H583-589.CrossRef
8.
go back to reference Marqué S, Cariou A, Chiche J-D, Squara P. Comparison between Flotrac-Vigileo and Bioreactance, a totally noninvasive method for cardiac output monitoring. Crit Care. 2009;13:R73.CrossRef Marqué S, Cariou A, Chiche J-D, Squara P. Comparison between Flotrac-Vigileo and Bioreactance, a totally noninvasive method for cardiac output monitoring. Crit Care. 2009;13:R73.CrossRef
9.
go back to reference Cheung H, Dong Q, Dong R, Yu B. Correlation of cardiac output measured by non-invasive continuous cardiac output monitoring (NICOM) and thermodilution in patients undergoing off-pump coronary artery bypass surgery. J Anesth. 2015;29:416–20.CrossRef Cheung H, Dong Q, Dong R, Yu B. Correlation of cardiac output measured by non-invasive continuous cardiac output monitoring (NICOM) and thermodilution in patients undergoing off-pump coronary artery bypass surgery. J Anesth. 2015;29:416–20.CrossRef
10.
go back to reference Kupersztych-Hagege E, Teboul J-L, Artigas A, Talbot A, Sabatier C, Richard C, et al. Bioreactance is not reliable for estimating cardiac output and the effects of passive leg raising in critically ill patients. Br J Anaesth. 2013;111:961–6.CrossRef Kupersztych-Hagege E, Teboul J-L, Artigas A, Talbot A, Sabatier C, Richard C, et al. Bioreactance is not reliable for estimating cardiac output and the effects of passive leg raising in critically ill patients. Br J Anaesth. 2013;111:961–6.CrossRef
11.
go back to reference Galarza L, Mercado P, Teboul J-L, Girotto V, Beurton A, Richard C, et al. Estimating the rapid haemodynamic effects of passive leg raising in critically ill patients using bioreactance. Br J Anaesth. 2018;121:567–73.CrossRef Galarza L, Mercado P, Teboul J-L, Girotto V, Beurton A, Richard C, et al. Estimating the rapid haemodynamic effects of passive leg raising in critically ill patients using bioreactance. Br J Anaesth. 2018;121:567–73.CrossRef
12.
go back to reference Gavelli F, Teboul J-L, Monnet X. The end-expiratory occlusion test: please, let me hold your breath! Crit Care. 2019;23:274.CrossRef Gavelli F, Teboul J-L, Monnet X. The end-expiratory occlusion test: please, let me hold your breath! Crit Care. 2019;23:274.CrossRef
13.
go back to reference Monnet X, Osman D, Ridel C, Lamia B, Richard C, Teboul J-L. Predicting volume responsiveness by using the end-expiratory occlusion in mechanically ventilated intensive care unit patients. Crit Care Med. 2009;37:951–6.CrossRef Monnet X, Osman D, Ridel C, Lamia B, Richard C, Teboul J-L. Predicting volume responsiveness by using the end-expiratory occlusion in mechanically ventilated intensive care unit patients. Crit Care Med. 2009;37:951–6.CrossRef
14.
go back to reference Gavelli F, Shi R, Teboul J-L, Azzolina D, Monnet X. The end-expiratory occlusion test for detecting preload responsiveness: a systematic review and meta-analysis. Ann Intensive Care. 2020;10:65.CrossRef Gavelli F, Shi R, Teboul J-L, Azzolina D, Monnet X. The end-expiratory occlusion test for detecting preload responsiveness: a systematic review and meta-analysis. Ann Intensive Care. 2020;10:65.CrossRef
15.
go back to reference Beurton A, Teboul J-L, Girotto V, Galarza L, Anguel N, Richard C, et al. Intra-Abdominal Hypertension Is Responsible for False Negatives to the Passive Leg Raising Test. Crit Care Med. 2019;47:e639–47.CrossRef Beurton A, Teboul J-L, Girotto V, Galarza L, Anguel N, Richard C, et al. Intra-Abdominal Hypertension Is Responsible for False Negatives to the Passive Leg Raising Test. Crit Care Med. 2019;47:e639–47.CrossRef
16.
go back to reference Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig L, et al. STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies. BMJ. 2015;351:h5527.CrossRef Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig L, et al. STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies. BMJ. 2015;351:h5527.CrossRef
17.
go back to reference Saugel B, Cecconi M, Hajjar LA. Noninvasive cardiac output monitoring in cardiothoracic surgery patients: available methods and future directions. J Cardiothorac Vasc Anesth. 2019;33:1742–52.CrossRef Saugel B, Cecconi M, Hajjar LA. Noninvasive cardiac output monitoring in cardiothoracic surgery patients: available methods and future directions. J Cardiothorac Vasc Anesth. 2019;33:1742–52.CrossRef
18.
go back to reference Jozwiak M, Monnet X, Teboul J-L. Less or more hemodynamic monitoring in critically ill patients. Curr Opin Crit Care. 2018;24:309–15.CrossRef Jozwiak M, Monnet X, Teboul J-L. Less or more hemodynamic monitoring in critically ill patients. Curr Opin Crit Care. 2018;24:309–15.CrossRef
19.
go back to reference Monnet X, Persichini R, Ktari M, Jozwiak M, Richard C, Teboul J-L. Precision of the transpulmonary thermodilution measurements. Crit Care. 2011;15:R204.CrossRef Monnet X, Persichini R, Ktari M, Jozwiak M, Richard C, Teboul J-L. Precision of the transpulmonary thermodilution measurements. Crit Care. 2011;15:R204.CrossRef
20.
go back to reference Monnet X, Teboul J-L. Transpulmonary thermodilution: advantages and limits. Crit Care. 2017;21:147.CrossRef Monnet X, Teboul J-L. Transpulmonary thermodilution: advantages and limits. Crit Care. 2017;21:147.CrossRef
21.
go back to reference Jozwiak M, Monnet X, Teboul J-L. Pressure waveform analysis. Anesth Analg. 2018;126:1930–3.CrossRef Jozwiak M, Monnet X, Teboul J-L. Pressure waveform analysis. Anesth Analg. 2018;126:1930–3.CrossRef
22.
go back to reference Kirkpatrick AW, Roberts DJ, De Waele J, Jaeschke R, Malbrain MLNG, De Keulenaer B, et al. Intra-abdominal hypertension and the abdominal compartment syndrome: updated consensus definitions and clinical practice guidelines from the World Society of the Abdominal Compartment Syndrome. Intensive Care Med. 2013;39:1190–206.CrossRef Kirkpatrick AW, Roberts DJ, De Waele J, Jaeschke R, Malbrain MLNG, De Keulenaer B, et al. Intra-abdominal hypertension and the abdominal compartment syndrome: updated consensus definitions and clinical practice guidelines from the World Society of the Abdominal Compartment Syndrome. Intensive Care Med. 2013;39:1190–206.CrossRef
23.
go back to reference Monnet X, Teboul J-L. Passive leg raising: five rules, not a drop of fluid! Crit Care. 2015;19:18.CrossRef Monnet X, Teboul J-L. Passive leg raising: five rules, not a drop of fluid! Crit Care. 2015;19:18.CrossRef
24.
go back to reference Monnet X, Marik P, Teboul J-L. Passive leg raising for predicting fluid responsiveness: a systematic review and meta-analysis. Intensive Care Med. 2016;42:1935–47.CrossRef Monnet X, Marik P, Teboul J-L. Passive leg raising for predicting fluid responsiveness: a systematic review and meta-analysis. Intensive Care Med. 2016;42:1935–47.CrossRef
25.
go back to reference de Courson H, Ferrer L, Cane G, Verchère E, Sesay M, Nouette-Gaulain K, et al. Evaluation of least significant changes of pulse contour analysis-derived parameters. Ann Intensive Care. 2019;9:116.CrossRef de Courson H, Ferrer L, Cane G, Verchère E, Sesay M, Nouette-Gaulain K, et al. Evaluation of least significant changes of pulse contour analysis-derived parameters. Ann Intensive Care. 2019;9:116.CrossRef
26.
go back to reference Holm S. A simple sequentially rejective multiple test procedure. Scand J Stat. 1979;6:65–70. Holm S. A simple sequentially rejective multiple test procedure. Scand J Stat. 1979;6:65–70.
27.
go back to reference Hanley JA, McNeil BJ. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology. 1983;148:839–43.CrossRef Hanley JA, McNeil BJ. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology. 1983;148:839–43.CrossRef
28.
go back to reference Taffé P, Peng M, Stagg V, Williamson T. MethodCompare: an R package to assess bias and precision in method comparison studies. Stat Methods Med Res. 2019;28:2557–65.CrossRef Taffé P, Peng M, Stagg V, Williamson T. MethodCompare: an R package to assess bias and precision in method comparison studies. Stat Methods Med Res. 2019;28:2557–65.CrossRef
29.
go back to reference Critchley LA, Yang XX, Lee A. Assessment of trending ability of cardiac output monitors by polar plot methodology. J Cardiothorac Vasc Anesth. 2011;25:536–46.CrossRef Critchley LA, Yang XX, Lee A. Assessment of trending ability of cardiac output monitors by polar plot methodology. J Cardiothorac Vasc Anesth. 2011;25:536–46.CrossRef
30.
go back to reference R Development Core Team. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2008. R Development Core Team. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2008.
31.
go back to reference Monnet X, Teboul J-L. Assessment of fluid responsiveness: recent advances. Curr Opin Crit Care. 2018;24:190–5.CrossRef Monnet X, Teboul J-L. Assessment of fluid responsiveness: recent advances. Curr Opin Crit Care. 2018;24:190–5.CrossRef
32.
go back to reference Biais M, de Courson H, Lanchon R, Pereira B, Bardonneau G, Griton M, et al. Mini-fluid Challenge of 100 ml of Crystalloid Predicts Fluid Responsiveness in the Operating Room. Anesthesiology. 2017;127:450–6.CrossRef Biais M, de Courson H, Lanchon R, Pereira B, Bardonneau G, Griton M, et al. Mini-fluid Challenge of 100 ml of Crystalloid Predicts Fluid Responsiveness in the Operating Room. Anesthesiology. 2017;127:450–6.CrossRef
33.
go back to reference Georges D, de Courson H, Lanchon R, Sesay M, Nouette-Gaulain K, Biais M. End-expiratory occlusion maneuver to predict fluid responsiveness in the intensive care unit: an echocardiographic study. Crit Care. 2018;22:32.CrossRef Georges D, de Courson H, Lanchon R, Sesay M, Nouette-Gaulain K, Biais M. End-expiratory occlusion maneuver to predict fluid responsiveness in the intensive care unit: an echocardiographic study. Crit Care. 2018;22:32.CrossRef
34.
go back to reference Biais M, Larghi M, Henriot J, de Courson H, Sesay M, Nouette-Gaulain K. End-Expiratory Occlusion Test Predicts Fluid Responsiveness in Patients With Protective Ventilation in the Operating Room. Anesth Analg. 2017;125:1889–95.CrossRef Biais M, Larghi M, Henriot J, de Courson H, Sesay M, Nouette-Gaulain K. End-Expiratory Occlusion Test Predicts Fluid Responsiveness in Patients With Protective Ventilation in the Operating Room. Anesth Analg. 2017;125:1889–95.CrossRef
35.
go back to reference Lamia B, Kim HK, Severyn DA, Pinsky MR. Cross-comparisons of trending accuracies of continuous cardiac-output measurements: pulse contour analysis, bioreactance, and pulmonary-artery catheter. J Clin Monit Comput. 2018;32:33–43.CrossRef Lamia B, Kim HK, Severyn DA, Pinsky MR. Cross-comparisons of trending accuracies of continuous cardiac-output measurements: pulse contour analysis, bioreactance, and pulmonary-artery catheter. J Clin Monit Comput. 2018;32:33–43.CrossRef
36.
go back to reference Yang X, Du B. Does pulse pressure variation predict fluid responsiveness in critically ill patients? A systematic review and meta-analysis. Crit Care. 2014;18:650.CrossRef Yang X, Du B. Does pulse pressure variation predict fluid responsiveness in critically ill patients? A systematic review and meta-analysis. Crit Care. 2014;18:650.CrossRef
37.
go back to reference Jozwiak M, Depret F, Teboul J-L, Alphonsine J-E, Lai C, Richard C, et al. Predicting fluid responsiveness in critically Ill patients by using combined end-expiratory and end-inspiratory occlusions with echocardiography. Crit Care Med. 2017;45:e1131–8.CrossRef Jozwiak M, Depret F, Teboul J-L, Alphonsine J-E, Lai C, Richard C, et al. Predicting fluid responsiveness in critically Ill patients by using combined end-expiratory and end-inspiratory occlusions with echocardiography. Crit Care Med. 2017;45:e1131–8.CrossRef
38.
go back to reference Dépret F, Jozwiak M, Teboul J-L, Alphonsine J-E, Richard C, Monnet X. Esophageal doppler can predict fluid responsiveness through end-expiratory and end-inspiratory occlusion tests. Crit Care Med. 2019;47:e96-102.CrossRef Dépret F, Jozwiak M, Teboul J-L, Alphonsine J-E, Richard C, Monnet X. Esophageal doppler can predict fluid responsiveness through end-expiratory and end-inspiratory occlusion tests. Crit Care Med. 2019;47:e96-102.CrossRef
39.
go back to reference Elliott A, Hull JH, Nunan D, Jakovljevic DG, Brodie D, Ansley L. Application of bioreactance for cardiac output assessment during exercise in healthy individuals. Eur J Appl Physiol. 2010;109:945–51.CrossRef Elliott A, Hull JH, Nunan D, Jakovljevic DG, Brodie D, Ansley L. Application of bioreactance for cardiac output assessment during exercise in healthy individuals. Eur J Appl Physiol. 2010;109:945–51.CrossRef
40.
go back to reference Jones TW, Houghton D, Cassidy S, MacGowan GA, Trenell MI, Jakovljevic DG. Bioreactance is a reliable method for estimating cardiac output at rest and during exercise. Br J Anaesth. 2015;115:386–91.CrossRef Jones TW, Houghton D, Cassidy S, MacGowan GA, Trenell MI, Jakovljevic DG. Bioreactance is a reliable method for estimating cardiac output at rest and during exercise. Br J Anaesth. 2015;115:386–91.CrossRef
Metadata
Title
Bioreactance reliably detects preload responsiveness by the end-expiratory occlusion test when averaging and refresh times are shortened
Authors
Francesco Gavelli
Alexandra Beurton
Jean-Louis Teboul
Nello De Vita
Danila Azzolina
Rui Shi
Arthur Pavot
Xavier Monnet
Publication date
01-12-2021
Publisher
Springer International Publishing
Published in
Annals of Intensive Care / Issue 1/2021
Electronic ISSN: 2110-5820
DOI
https://doi.org/10.1186/s13613-021-00920-7

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