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Fluid responsiveness predicted by noninvasive Bioreactance-based passive leg raise test

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Abstract

Purpose

To study the feasibility of predicting fluid responsiveness (FR) by passive leg raising (PLR) using a Bioreactance-based noninvasive cardiac output monitoring device (NICOM).

Method

This prospective, two-center study included 75 consecutive intensive care unit (ICU) adult patients immediately after cardiac surgery. NICOM was used to continuously record cardiac output (CO) at baseline, during a PLR, and then during a 500 ml i.v. rapid colloid infusion. We estimated the precision of NICOM at baseline to derive the least minimum significant change (LMSC) in CO. We studied the predictability of PLR for FR by systematic analysis of different categorizations of PLR and FR, based on percentage change in CO (from 0 to 20%).

Results

The LMSC was 8.85%. CO was 4.17 ± 1.04 L min−1 at baseline, 4.38 ± 1.14 L min−1 during PLR, 4.16 ± 1.08 L min−1 upon return to baseline, and 4.85 ± 1.41 L min−1 after fluid infusion. The change in CO following fluid bolus was highly correlated with the change in CO following PLR: y = 0.91x + 4.3, r = 0.77. The Pearson correlation coefficient showed that the best pair of thresholds was found for PLR ≥0% predicting FR ≥0%. Using this pair of thresholds, PLR had 88% sensitivity and 100% specificity for predicting FR. When we restricted the analysis to change in CO > LMSC, the best pair of thresholds was obtained for PLR >9% predicting FR >9%. Using this pair of thresholds, PLR sensitivity was reduced to 68% and specificity to 95%.

Conclusions

In this specific population of patients, it is clinically valid to use the bioreactance-based NICOM system to predict FR from changes in CO during PLR.

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References

  1. Shoemaker W, Appel P, Kram H, Waxman K, Lee T (1988) Prospective trial of supranormal values of survivors as therapeutic goals in high-risk surgical patients. Chest 94:1176–1186

    Article  CAS  PubMed  Google Scholar 

  2. Boyd O, Grounds RM, Bennett ED (1993) A randomized clinical trial of the effect of deliberate perioperative increase of oxygen delivery on mortality in high-risk surgical patients. JAMA 270:2699–2707

    Article  CAS  PubMed  Google Scholar 

  3. Lobo SM, Lobo FR, Polachini CA, Patini DS, Yamamoto AE, de Oliveira NE, Serrano P, Sanches HS, Spegiorin MA, Queiroz MM, Christiano AC Jr, Savieiro EF, Alvarez PA, Teixeira SP, Cunrath GS (2006) Prospective, randomized trial comparing fluids and dobutamine optimization of oxygen delivery in high-risk surgical patients. Crit Care 10:R72

    Article  PubMed  Google Scholar 

  4. Joshi GP (2005) Intraoperative fluid restriction improves outcome after major elective gastrointestinal surgery. Anesth Analg 101:601–605

    Article  PubMed  Google Scholar 

  5. Martinez EA, Pronovost P (2002) Perioperative beta-blockers in high-risk patients. J Crit Care 17:105–113

    Article  CAS  PubMed  Google Scholar 

  6. Squara P, Dhainaut J, Lamy M, Perret C, Larbuisson R, Poli S, Armaganidis A, de Gournay J, Bleichner G (1989) Computer assistance for hemodynamic evaluation. J Crit Care 4:273–282

    Article  Google Scholar 

  7. Chytra I, Pradl R, Bosman R, Pelnar P, Kasal E, Zidkova A (2007) Esophageal Doppler-guided fluid management decreases blood lactate levels in multiple-trauma patients: a randomized controlled trial. Crit Care 11:R24

    Article  PubMed  Google Scholar 

  8. Sinclair S, James S, Singer M (1997) Intraoperative intravascular volume optimisation and length of hospital stay after repair of proximal femoral fracture: randomised controlled trial. BMJ 315:909–912

    CAS  PubMed  Google Scholar 

  9. Phan T, Ismail H, Heriot A, Ho K (2008) Improving perioperative outcomes: fluid optimization with the esophageal Doppler monitor, a metaanalysis and review. J Am Coll Surg 207:935–941

    Article  PubMed  Google Scholar 

  10. Stewart R, Park P, Hunt J, McIntyre RJ, McCarthy J, Zarzabal L, Michalek J (2009) Less is more: improved outcomes in surgical patients with conservative fluid administration and central venous catheter monitoring. J Am Coll Surg 208:725–735; discussion 735–727

    Article  PubMed  Google Scholar 

  11. Wiedemann H, Wheeler A, Bernard G, Thompson B, Hayden D, deBoisblanc B, Connors AJ, Hite R, Harabin A (2006) Comparison of two fluid-management strategies in acute lung injury. N Engl J Med 354:2564–2575

    Article  CAS  PubMed  Google Scholar 

  12. Lafanechere A, Pene F, Goulenok C, Goulenok C, Delahaye A, Mallet V, Choukroun G, Chiche J, Mira J, Cariou A (2006) Changes in aortic blood flow induced by passive leg raising predict fluid responsiveness in critically ill patients. Crit Care 10:R132

    Article  CAS  PubMed  Google Scholar 

  13. Monnet X, Teboul J (2008) Passive leg raising. Intensive Care Med 34:659–663

    Article  PubMed  Google Scholar 

  14. Teboul J, Monnet X (2008) Prediction of volume responsiveness in critically ill patients with spontaneous breathing activity. Curr Opin Crit Care 14:334–339

    Article  PubMed  Google Scholar 

  15. Caille V, Jabot J, Belliard G, Charron C, Jardin F, Vieillard-Baron A (2008) Hemodynamic effects of passive leg raising: an echocardiographic study in patients with shock. Intensive Care Med 34:1239–1245

    Article  PubMed  Google Scholar 

  16. Monnet X, Rienzo M, Osman D, Anguel N, Richard C, Pinsky MR, Teboul JL (2006) Passive leg raising predicts fluid responsiveness in the critically ill. Crit Care Med 34:1402–1407

    Article  PubMed  Google Scholar 

  17. Lamia B, Ochagavia A, Monnet X, Chemla D, Richard C, Teboul JL (2007) Echocardiographic prediction of volume responsiveness in critically ill patients with spontaneously breathing activity. Intensive Care Med 33:1125–1132

    Article  PubMed  Google Scholar 

  18. Cecconi M, Rhodes A, Poloniecki J, Della Rocca G, Grounds R (2009) Bench-to-bedside review: The importance of the precision of the reference technique in method comparison studies: with specific reference to the measurement of cardiac output. Crit Care 13:201

    Article  PubMed  Google Scholar 

  19. Jabot J, Teboul J, Richard C, Monnet X (2009) Passive leg raising for predicting fluid responsiveness: importance of the postural change. Intensive Care Med 35:85–90

    Article  PubMed  Google Scholar 

  20. Bundgaard-Nielsen M, Holte K, Secher N, Kehlet H (2007) Monitoring of peri-operative fluid administration by individualized goal-directed therapy. Acta Anaesthesiol Scand 51:331–340

    Article  CAS  PubMed  Google Scholar 

  21. Marqué S, Cariou A, Chiche J, Squara P (2009) Non invasive cardiac output monitoring (NICOM) compared to minimally invasive monitoring (VIGILEO). Crit Care 13:R73

    Article  PubMed  Google Scholar 

  22. Raval N, Squara P, Cleman M, Yalamanchili K, Winklmaier M, Burkhoff D (2008) Multicenter evaluation of noninvasive cardiac output measurement by bioreactance technique. J Clin Monit Comput 10:113–119

    Article  Google Scholar 

  23. Squara P, Denjean D, Estagnasie P, Brusset A, Dib JC, Dubois C (2007) Noninvasive cardiac output monitoring (NICOM): a clinical validation. Intensive Care Med 33:1191–1194

    Article  PubMed  Google Scholar 

  24. Squara P, Rotcajg D, Denjean D, Estagnasie P, Brusset A (2009) Comparison of monitoring performance of Bioreactance vs. pulse contour during lung recruitment maneuvers. Crit Care 13:125

    Article  Google Scholar 

  25. Squara P, Fourquet E, Jacquet L, Broccard A, Uhlig T, Rhodes A, Bakker J, Perret C (2003) A computer program for interpreting pulmonary artery catheterization data: results of the European HEMODYN Resident Study. Intensive Care Med 29:735–741

    PubMed  Google Scholar 

  26. Squara P (2008) Bioreactance, a new method for non invasive cardiac output monitoring. In: Vincent J (ed) Year book of intensive care and emergency medicine. Springer, Paris, pp 619–630

    Chapter  Google Scholar 

  27. Parsonnet V, Bernstein A, Gera M (1996) Clinical usefulness of risk-stratified outcome analysis in cardiac surgery in New Jersey. Ann Thorac Surg 61:S8–11

    Article  CAS  PubMed  Google Scholar 

  28. Nilsson J, Algotsson L, Höglund P, Lührs C, Brandt J (2004) EuroSCORE predicts intensive care unit stay and costs of open heart surgery. Ann Thorac Surg 78:1528–1534

    Article  PubMed  Google Scholar 

  29. Trof R, Sukul S, Twisk J, Girbes A, Groeneveld A (2010) Greater cardiac response of colloid than saline fluid loading in septic and non-septic critically ill patients with clinical hypovolaemia. Intensive Care Med 36:697–701

    Article  CAS  PubMed  Google Scholar 

  30. Squara P, Cecconi C, Singer M, Rhodes A, Chiche J (2009) Tracking changes in cardiac output; methodological considerations for the validation of monitoring devices. Intensive Care Med 35:1801–1808

    Article  PubMed  Google Scholar 

  31. Baldi P, Brunak S, Chauvin Y, Andersen C, Nielsen H (2000) Assessing the accuracy of prediction algorithms for classification: an overview. Bioinformatics 16:412–424

    Article  CAS  PubMed  Google Scholar 

  32. Della Rocca G, Costa M (2004) Hemodynamic-volumetric monitoring. Minerva Anesthesiol 70:229–232

    CAS  Google Scholar 

  33. McGee W (2009) A simple physiologic algorithm for managing hemodynamics using stroke volume and stroke volume variation: physiologic optimization program. J Intensive Care Med 24:352–360

    Article  PubMed  Google Scholar 

  34. Muller L, Louart G, Bousquet P, Candela D, Zoric L, de La Coussaye J, Jaber S, Lefrant J (2010) The influence of the airway driving pressure on pulsed pressure variation as a predictor of fluid responsiveness. Intensive Care Med 36:496–503

    Article  PubMed  Google Scholar 

  35. Greene A, Shoukas A (1986) Changes in canine cardiac function and venous return curves by the carotid baroreflex. Am J Physiol 25:1288–1296

    Google Scholar 

  36. Takata M, Wise R, Robotham J (1990) Effects of abdominal pressure on venous return: abdominal vascular zone conditions. J Appl Physiol 69:1961–1972

    CAS  PubMed  Google Scholar 

  37. Kitano Y, Takata M, Sasaki N, Zhang Q, Yamamoto S, Miyasaka K (1999) Influence of increased abdominal pressure on steady-state cardiac performance. J Appl Physiol 86:1651–1656

    CAS  PubMed  Google Scholar 

  38. Fessler H, Brower R, Shapiro E, Permutt S (1993) Effects of positive end-expiratory pressure and body position on pressure in the thoracic great veins. Am Rev Respir Dis 148:1657–1664

    CAS  PubMed  Google Scholar 

  39. Cecconi M, Dawson D, Grounds R, Rhodes A (2009) Lithium dilution cardiac output measurement in the critically ill patient: determination of precision of the technique. Intensive Care Med 35:498–504

    Article  CAS  PubMed  Google Scholar 

  40. Lakhal K, Ehrmann S, Runge I, Benzekri-Lefevre D, Legras A, Dequin P, Mercie rE, Wolff M, Regnier B, Boulain T (2010) Central venous pressure measurements improve the accuracy of leg raising-induced change in pulse pressure to predict fluid responsiveness. Intensive Care Med 36:940–948

    Article  PubMed  Google Scholar 

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Acknowledgments

The authors thank Steve Novak for his help in collecting data. Cheetah-Medical gave for free the NICOM devices and the consumable.

Conflict of interest

Pierre Squara is a consultant for Cheetah-Medical. Other authors have no conflicts of interest.

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Correspondence to Pierre Squara.

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Benomar, B., Ouattara, A., Estagnasie, P. et al. Fluid responsiveness predicted by noninvasive Bioreactance-based passive leg raise test. Intensive Care Med 36, 1875–1881 (2010). https://doi.org/10.1007/s00134-010-1990-6

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  • DOI: https://doi.org/10.1007/s00134-010-1990-6

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