Skip to main content

Advertisement

Log in

Intraoperative ICG plasma disappearance rate helps to predict absence of early postoperative complications after orthotopic liver transplantation

  • Original Research
  • Published:
Journal of Clinical Monitoring and Computing Aims and scope Submit manuscript

Abstract

Early postoperative complications after orthotopic liver transplantation (OLT) are a common problem in intensive care medicine. Adequate assessment of initial graft function remains difficult, however, plasma disaperance rate of indocyanine green (PDRICG) may have an additional diagnostic and prognostic value in this setting. We retrospectively evaluated the ability of intraoperative PDRICG values to predict absence of early postoperative complications in 62 subjects. PDRICG was measured non-invasively by pulse dye densitometry during surgery and was correlated with initial graft function. At the end of surgery, PDRICG was higher in patients without complications: 24.9 % min−1 (n = 40) versus 21.0 % min−1, (n = 22; p = 0.034). An area under the ROC curve (AUROC) for PDRICG was 0.70, while the AUROC for pH, lactate and PT at ICU admission were 0.53, 0.50 and 0.46, respectively. The AUROC of serum bilirubin and PT at postoperative day 5 were 0.68 and 0.49, respectively. The optimal cut-off PDRICG value for predicting absence of development early postoperative complications was determined to be 23.5 % min−1 with 72.4 % sensitivity and 71.0 % specificity. Intraoperative point-of-care PDRICG measurement during OLT already predicts absence of early postoperative complications, better and earlier than clinically used laboratory parameters.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Dubbeld J, Hoekstra H, Farid W, et al. Similar liver transplantation survival with selected cardiac death donors and brain death donors. Br J Surg. 2010;97:744–53.

    Article  PubMed  CAS  Google Scholar 

  2. Verdonk RC, van den Berg AP, Slooff MJ, Porte RJ, Haagsma EB. Liver transplantation: an update. Neth J Med. 2007;65:372–80.

    PubMed  CAS  Google Scholar 

  3. Bilbao I, Armadans L, Lazaro JL, Hidalgo E, Castells L, Margarit C. Predictive factors for early mortality following liver transplantation. Clin Transpl. 2003;17:401–11.

    Article  Google Scholar 

  4. Chen H, Peng CH, Shen BY, et al. Multi-factor analysis of initial poor graft function after orthotopic liver transplantation. Hepatobiliary Pancreat Dis Int. 2007;6:141–6.

    PubMed  Google Scholar 

  5. Chen GH, Fu BS, Cai CJ, et al. A single-center experience of retransplantation for liver transplant recipients with a failing graft. Transpl Proc. 2008;40:1485–7.

    Article  Google Scholar 

  6. Maring JK, Klompmaker IJ, Zwaveling JH, Kranenburg K, Ten Vergert EM, Slooff MJ. Poor initial graft function after orthotopic liver transplantation: can it be predicted and does it affect outcome? An analysis of 125 adult primary transplantations. Clin Transpl. 1997;11:373–9.

    CAS  Google Scholar 

  7. Caesar J, Shaldon S, Chiandussi L, Guevara L, Sherlock S. The use of indocyanine green in the measurement of hepatic blood flow and as a test of hepatic function. Clin Sci. 1961;21:43–57.

    PubMed  CAS  Google Scholar 

  8. Kuntz H, Schregel W. Indocyanine green: Evaluation of liver function; application in intensive care medicine. In: Lewis F, Pfeiffer U, editors. Practical applications of fiberoptics in critical care monitoring. New York: Springer; 1990. p. 57–62.

    Chapter  Google Scholar 

  9. Levesque E, Saliba F, Benhamida S, et al. Plasma disappearance rate of indocyanine green: a tool to evaluate early graft outcome after liver transplantation. Liver Transpl. 2009;15:1358–64.

    Article  PubMed  Google Scholar 

  10. Lock JF, Schwabauer E, Martus P, et al. Early diagnosis of primary nonfunction and indication for reoperation after liver transplantation. Liver Transpl. 2010;16:172–80.

    Article  PubMed  Google Scholar 

  11. Jalan R, Plevris JN, Jalan AR, Finlayson ND, Hayes PC. A pilot study of indocyanine green clearance as an early predictor of graft function. Transplantation. 1994;58:196–200.

    PubMed  CAS  Google Scholar 

  12. Pereboom IT, de Boer MT, Haagsma EB, Hendriks HG, Lisman T, Porte RJ. Platelet transfusion during liver transplantation is associated with increased postoperative mortality due to acute lung injury. Anesth Analg. 2009;108:1083–91.

    Article  PubMed  Google Scholar 

  13. Baulig W, Bernhard EO, Bettex D, Schmidlin D, Schmid ER. Cardiac output measurement by pulse dye densitometry in cardiac surgery. Anaesthesia. 2005;60:968–73.

    Article  PubMed  CAS  Google Scholar 

  14. Sekimoto M, Fukui M, Fujita K. Plasma volume estimation using indocyanine green with biexponential regression analysis of the decay curves. Anaesthesia. 1997;52:1166–72.

    Article  PubMed  CAS  Google Scholar 

  15. Pereboom IT, Adelmeijer J, van Leeuwen Y, Hendriks HG, Porte RJ, Lisman T. No evidence for systemic platelet activation during or after orthotopic liver transplantation. Liver Transpl. 2009;15:956–62.

    Article  PubMed  Google Scholar 

  16. Bruegger L, Studer P, Schmid SW, et al. Indocyanine green plasma disappearance rate during the anhepatic phase of orthotopic liver transplantation. J Gastrointest Surg. 2008;12:67–72.

    Article  PubMed  Google Scholar 

  17. von Spiegel T, Scholz M, Wietasch G, et al. Perioperative monitoring of indocyanine green clearance and plasma disappearance rate in patients undergoing liver transplantation. Anaesthesist. 2002;51:359–66.

    Article  Google Scholar 

  18. Feng S, Goodrich NP, Bragg-Gresham JL, et al. Characteristics associated with liver graft failure: the concept of a donor risk index. Am J Transpl. 2006;6:783–90.

    Article  CAS  Google Scholar 

  19. von Spiegel T, Giannaris S, Schorn B, Scholz M, Wietasch GJ, Hoeft A. Effects of induction of anaesthesia with sufentanil and positive-pressure ventilation on the intra- to extrathoracic volume distribution. Eur J Anaesthesiol. 2002;19:428–35.

    Google Scholar 

  20. Deschenes M, Belle SH, Krom RA, Zetterman RK, Lake JR. Early allograft dysfunction after liver transplantation: a definition and predictors of outcome. National institute of diabetes and digestive and kidney diseases liver transplantation database. Transplantation. 1998;66:302–10.

    Article  PubMed  CAS  Google Scholar 

  21. Lama C, Ramos E, Figueras J, et al. Predictive factors for postoperatory, early and late mortality in liver transplants. Transpl Proc. 2002;34:283–6.

    Article  CAS  Google Scholar 

  22. Gonzalez FX, Rimola A, Grande L, et al. Predictive factors of early postoperative graft function in human liver transplantation. Hepatology. 1994;20:565–73.

    PubMed  CAS  Google Scholar 

  23. Rueggeberg A, Boehm S, Napieralski F, et al. Development of a risk stratification model for predicting acute renal failure in orthotopic liver transplantation recipients. Anaesthesia. 2008;63:1174–80.

    Article  PubMed  CAS  Google Scholar 

  24. Olmedilla L, Perez-Pena JM, Ripoll C, et al. Early noninvasive measurement of the indocyanine green plasma disappearance rate accurately predicts early graft dysfunction and mortality after deceased donor liver transplantation. Liver Transpl. 2009;15:1247–53.

    Article  PubMed  Google Scholar 

  25. Janssen MW, Druckrey-Fiskaaen KT, Omidi L, et al. Indocyanine green R15 ratio depends directly on liver perfusion flow rate. J Hepatobiliary Pancreat Surg. 2010;17:180–5.

    Article  Google Scholar 

  26. Buis CI, Verdonk RC, Van der Jagt EJ, et al. Nonanastomotic biliary strictures after liver transplantation, part 1: radiological features and risk factors for early versus late presentation. Liver Transpl. 2007;13:708–18.

    Article  PubMed  Google Scholar 

  27. Clavien PA, Harvey PR, Strasberg SM. Preservation and reperfusion injuries in liver allografts. An overview and synthesis of current studies. Transplantation. 1992;53:957–78.

    Article  PubMed  CAS  Google Scholar 

  28. Kawasaki S, Sugiyama Y, Iga T, et al. Pharmacokinetic study on the hepatic uptake of indocyanine green in cirrhotic patients. Am J Gastroenterol. 1985;80:801–6.

    PubMed  CAS  Google Scholar 

  29. Imamura H, Sano K, Sugawara Y, Kokudo N, Makuuchi M. Assessment of hepatic reserve for indication of hepatic resection: decision tree incorporating indocyanine green test. J Hepatobiliary Pancreat Surg. 2005;12:16–22.

    Article  PubMed  Google Scholar 

  30. Stockmann M, Lock JF, Malinowski M, Neuhaus P. Evaluation of early liver graft performance by the indocyanine green plasma disappearance rate. Liver Transpl. 2010;16:793–4. author reply 795–6.

    Article  PubMed  Google Scholar 

  31. Hori T, Iida T, Yagi S, et al. K(ICG) value, a reliable real-time estimator of graft function, accurately predicts outcomes in adult living-donor liver transplantation. Liver Transpl. 2006;12:605–13.

    Article  PubMed  Google Scholar 

  32. Schneider L, Spiegel M, Latanowicz S, et al. Noninvasive indocyanine green plasma disappearance rate predicts early complications, graft failure or death after liver transplantation. Hepatobiliary Pancreat Dis Int. 2011;10:362–8.

    Article  PubMed  Google Scholar 

  33. Rowell LB, Blackmon JR, Bruce RA. Indocyanine green clearance and estimated hepatic blood flow during mild to maximal exercise in upright man. J Clin Invest. 1964;43:1677–90.

    Article  PubMed  CAS  Google Scholar 

  34. de Liguori Carino N, O’Reilly DA, Dajani K, Ghaneh P, Poston GJ, Wu AV. Perioperative use of the LiMON method of indocyanine green elimination measurement for the prediction and early detection of post-hepatectomy liver failure. Eur J Surg Oncol. 2009;35:957–62.

    Article  PubMed  Google Scholar 

  35. Sakka SG, Reinhart K, Meier-Hellmann A. Comparison of invasive and noninvasive measurements of indocyanine green plasma disappearance rate in critically ill patients with mechanical ventilation and stable hemodynamics. Intensive Care Med. 2000;26:1553–6.

    Article  PubMed  CAS  Google Scholar 

  36. Hoeft A, Schorn B, Weyland A, et al. Bedside assessment of intravascular volume status in patients undergoing coronary bypass surgery. Anesthesiology. 1994;81:76–86.

    Article  PubMed  CAS  Google Scholar 

  37. Sakka SG, van Hout N. Relation between indocyanine green (ICG) plasma disappearance rate and ICG blood clearance in critically ill patients. Intensive Care Med. 2006;32:766–9.

    Article  PubMed  CAS  Google Scholar 

  38. Purcell R, Kruger P, Jones M. Indocyanine green elimination: a comparison of the LiMON and serial blood sampling methods. ANZ J Surg. 2006;76:75–7.

    Article  PubMed  Google Scholar 

  39. Imai T, Takahashi K, Goto F, Morishita Y. Measurement of blood concentration of indocyanine green by pulse dye densitometry–comparison with the conventional spectrophotometric method. J Clin Monit Comput. 1998;14:477–84.

    Article  PubMed  CAS  Google Scholar 

  40. Seibel A, Muller A, Sakka SG. Indocyanine green plasma disappearance rate for monitoring hepatosplanchnic blood flow. Intensive Care Med. 2011;37:357–9.

    Article  PubMed  Google Scholar 

  41. Sakka SG. Indocyanine green plasma disappearance rate during relief of increased abdominal pressure. Intensive Care Med. 2006;32:2090–1.

    Article  PubMed  Google Scholar 

  42. Vos JJ, Scheeren TW, Wietasch GJ. Pulse dye densitometry and indocyanine green plasma disappearance: The issue of “normal” values. Anesth Analg. 2010;111:1075–6. author reply 1076-7.

    Article  PubMed  Google Scholar 

Download references

Conflict of interest

The authors declare that they have no conflict of interest.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to J. J. Vos.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Vos, J.J., Scheeren, T.W.L., Lukes, D.J. et al. Intraoperative ICG plasma disappearance rate helps to predict absence of early postoperative complications after orthotopic liver transplantation. J Clin Monit Comput 27, 591–598 (2013). https://doi.org/10.1007/s10877-013-9474-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10877-013-9474-1

Keywords

Navigation