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Changes in peripheral perfusion index during intraoperative end-expiratory occlusion tests do not predict the response to fluid administration in patients undergoing lung protective ventilation

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A Correction to this article was published on 02 December 2022

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Abstract

Introduction

The end-expiratory occlusion test (EEOT) may predict the response to fluid administration in patients undergoing lung-protective ventilation, but arterial catheter insertion is necessary to evaluate changes in stroke volume (SV). The peripheral perfusion index is a potential noninvasive alternative to evaluate SV. The aim of this study is to investigate whether changes in perfusion index during an intraoperative EEOT can predict the response to fluid administration in patients undergoing lung-protective ventilation (tidal volume 7 ml/kg predicted body weight).

Methods

Forty-one elective surgical patients were enrolled. The SV and perfusion index were recorded before (baseline), during a 40-s EEOT and after volume expansion (250 ml of lactated Ringer’s solution over 10 min). Patients with an increase in SV greater than 10% after volume expansion were defined as responders. ΔPI (change in perfusion index between baseline and 20 (ΔPI20) or 40 s (ΔPI40) after the beginning of EEOT were calculated using: ΔPI20 (%) = [(PI at 20 s after EEOT beginning − PIbaseline)/PIbaseline] × 100, ΔPI40 (%) = [(PI at 40 s after EEO beginning − PIbaseline)/PIbaseline] × 100).

Results

Sixteen patients were responders, and 25 were non-responders. The area under the receiver operating characteristics curves generated for ΔPI20 and ΔPI40 to predict response to a fluid challenge were 0.561 (95% CI 0.374–0.749) and 0.688 (95% CI 0.523–0.852), respectively.

Conclusion

Changes in perfusion index during intraoperative EEOT in patients undergoing lung-protective ventilation (7 ml/kg) were unable to predict the response to fluid administration.

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Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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References

  1. Nisanevich V, Felsenstein I, Almogy G, Weissman C, Einav S, Matot I. Effect of intraoperative fluid management on outcome after intraabdominal surgery. Anesthesiology. 2005;103:25–32.

    Article  PubMed  Google Scholar 

  2. Chappell D, Jacob M, Hofmann-Kiefer K, Conzen P, Rehm M. A rational approach to perioperative fluid management. Anesthesiology. 2008;109:723–40.

    Article  PubMed  Google Scholar 

  3. Perel A. Using dynamic variables to guide perioperative fluid management. Anesthesiology. 2020;133:929–93.

    Article  PubMed  Google Scholar 

  4. Monnet X, Marik PE, Teboul JL. Prediction of fluid responsiveness: an update. Ann Intensive Care. 2016. https://doi.org/10.1186/s13613-016-0216-7.

    Article  PubMed  PubMed Central  Google Scholar 

  5. 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. 2009;37:2642–7.

    Article  PubMed  Google Scholar 

  6. 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. 2009;37:951–6.

    Article  PubMed  Google Scholar 

  7. Gavelli F, Teboul JL, Monnet X. The end-expiratory occlusion test: please, let me hold your breath! Crit Care. 2019. https://doi.org/10.1186/s13054-019-2554-y.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Gavelli F, Shi R, Teboul JL, Azzolina D, Monnet X. The end-expiratory occlusion test for detecting preload responsiveness: a systematic review and meta-analysis. Ann Intensive Care. 2020. https://doi.org/10.1186/s13613-020-00682-8.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Young CC, Harris EM, Vacchiano C, Bodnar S, Bukowy B, Elliott RRD, Migliarese J, Ragains C, Trethewey B, Woodward A, de Abreu GM, Girard M, Futier E, Mulier JP, Pelosi P, Sprung J. Lung-protective ventilation for the surgical patient: international expert panel-based consensus recommendations. Br J Anaesth. 2019;123:898–913.

    Article  PubMed  Google Scholar 

  10. Myatra SN, Prabu NR, Divatia JV, Monnet X, Kulkarni AP, Teboul JL. The changes in pulse pressure variation or stroke volume variation after a “tidal volume challenge” reliably predict fluid responsiveness during low tidal volume ventilation. Crit Care Med. 2017;45:415–21.

    Article  PubMed  Google Scholar 

  11. 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.

    Article  PubMed  Google Scholar 

  12. 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. https://doi.org/10.1186/s13054-017-1938-0.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Beurton A, Teboul JL, Gavelli F, Gonzalez FA, Girotto V, Galarza L, Anguel N, Richard C, Monnet X. The effects of passive leg raising may be detected by the plethysmographic oxygen saturation signal in critically ill patients. Crit Care. 2019. https://doi.org/10.1186/s13054-019-2306-z.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Lima AP, Beelen P, Bakker J. Use of a peripheral perfusion index derived from the pulse oximetry signal as a noninvasive indicator of perfusion. Crit Care Med. 2002;30:1210–3.

    Article  PubMed  Google Scholar 

  15. Kanda Y. Investigation of the freely available easy-to-use software “EZR” for medical statistics. Bone Marrow Transplant. 2013;48:452–8.

    Article  CAS  PubMed  Google Scholar 

  16. Weil G, Motamed C, Monnet X, Eghiaian A, Le Maho AL. End-expiratory occlusion test to predict fluid responsiveness is not suitable for laparotomic surgery. Anesth Analg. 2020;130:151–8.

    Article  PubMed  Google Scholar 

  17. van Lavieren M, Veelenturf J, Hofhuizen C, van der Kolk M, van der Hoeven J, Pickkers P, Lemson J, Lansdorp B. Dynamic preload indicators decrease when the abdomen is opened. BMC Anesthesiol. 2014. https://doi.org/10.1186/1471-2253-14-90.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Jozwiak M, Depret F, Teboul JL, Alphonsine JE, Lai C, Richard C, Monnet X. 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.

    Article  PubMed  Google Scholar 

  19. Messina A, Montagnini C, Cammarota G, De Rosa S, Giuliani F, Muratore L, Della Corte F, Navalesi P, Cecconi M. Tidal volume challenge to predict fluid responsiveness in the operating room: an observational study. Eur J Anaesthesiol. 2019;36:583–91.

    Article  PubMed  Google Scholar 

  20. Biais M, Lanchon R, Sesay M, Le Gall L, Pereira B, Futier E, Nouette-Gaulain K. Changes in stroke volume induced by lung recruitment maneuver predict fluid responsiveness in mechanically ventilated patients in the operating room. Anesthesiology. 2017;126:260–7.

    Article  PubMed  Google Scholar 

  21. Ryu KH, Hwang SH, Shim JG, Ahn JH, Cho EA, Lee SH, Byun JH. Comparison of vasodilatory properties between desflurane and sevoflurane using perfusion index: a randomised controlled trial. Br J Anaesth. 2020;125:935–42.

    Article  CAS  PubMed  Google Scholar 

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Funding

This study was not financed.

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Authors and Affiliations

Authors

Contributions

YI and MS contributed to the conception and design of the study. YI and MS analyzed the data and wrote the manuscript. YI, YO, KY and TN helped with the data collection. MS and AL revised the manuscript critically. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Yusuke Iizuka.

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The authors declare that they have no competing interests.

Ethics approval and consent to participate

This study was approved by the institutional Review Board (S20-042). Participants were obtained written informed consent.

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Iizuka, Y., Sanui, M., Otsuka, Y. et al. Changes in peripheral perfusion index during intraoperative end-expiratory occlusion tests do not predict the response to fluid administration in patients undergoing lung protective ventilation. J Anesth 35, 837–843 (2021). https://doi.org/10.1007/s00540-021-02988-8

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  • DOI: https://doi.org/10.1007/s00540-021-02988-8

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