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Aminopyrine breath test compared to the MELD and Child-Pugh scores for predicting mortality among cirrhotic patients awaiting liver transplantation

  • Original Article
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Transplant International

Abstract

Better tools for predicting the risk of death while awaiting transplantation are urgently needed because organ shortage is increasing the numbers on transplantation waiting lists. The aminopyrine breath test (ABT), model for end-stage liver disease (MELD), and Child-Pugh (C-P) score were compared as predictors of this risk in 137 cirrhotic candidates for liver transplantation. Eighty-three were transplanted within 3 months of registration, 35 others survived, 13 died before transplantation, and 6 were removed from the list. By univariate analysis, the continuous variables significantly associated with death while awaiting transplantation were: history of infected ascites, C-P score, ABT, and international normalized ratio or prothrombin time. Receiver operating characteristic curves for quantitative variables showed that the area under the curve was greatest for ABT (0.858±0.067). By Youden curve analysis, the best cut-off points for identifying cirrhotic patients at high risk of death while on the waiting list were: >10, >16, and <0.7% for the C-P score, MELD score, and ABT, respectively. These results show that ABT is as good as the MELD and C-P scores, or better, as a predictor of death among cirrhotic patients awaiting liver transplantation.

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References

  1. Persijn GG, Cohen B, eds. Eurotransplant Annual Report, 2000. Eurotransplant International Foundation: 52.

  2. Harper AM, Edwards EB, Ellison MD. The OPTN waiting list, 1988--2000. Clin Transpl 2001; 73.

  3. Wiesner RH. Who and when to list patients for liver transplantation. In: Arroyo V, Bosch Y, Burguera M, Rodés Y, Sanchez Topias YM, eds. Treatment of liver diseases. Barcelona: Masson, 1999:159.

  4. Bronsther O, Fung JJ, Tzakis A, Vanthiel D, Starzl TL. Prioritization and organ distribution for liver transplantation. JAMA 1994; 271:140.

    Article  CAS  PubMed  Google Scholar 

  5. Everhart JE, Lombardero M, Detre K, et al. Increased waiting time for liver transplantation results in higher mortality. Transplantation 1997; 64:1300.

    CAS  PubMed  Google Scholar 

  6. Davis GL, Albright JE, Cook S. Projecting the future health care burden from hepatitis C in the United States. Hepatology 1998; 28:390A.

    Google Scholar 

  7. Forman LM, Lucey MR. Predicting the prognosis of chronic liver disease: an evolution from Child to MELD. Hepatology 2001; 33:473.

    Article  CAS  PubMed  Google Scholar 

  8. Suc B, Chalem Y, Golmard JL. Analysis of the French liver transplant waiting list 1992--1996. Transplantation 2000; 69:515.

    CAS  PubMed  Google Scholar 

  9. Annual Report of the US Scientific Registry for Organ Transplantation and the Organ Procurement and Transplantation Network -- Transplant Data 1990--1999. UNOS, Richmond Va. and the Division of Transplantation, Bureau of Health Resources and Services Administration. US Department of Health and Human Services. Rockville, Md., 2000.

  10. Kamath PS, Wiesner RH, Malinchoc M, et al. A model to predict survival in patients with end-stage liver disease. Hepatology 2001; 33:464.

    Article  CAS  PubMed  Google Scholar 

  11. Cohen B, ed. Eurotransplant Newsletter, November 2000. Eurotransplant International Foundation: 8.

  12. Hepner GW, Vesell ES. Aminopyrine disposition: studies on breath, saliva and urine in normal subjects and patients with liver disease. Clin Pharmacol Ther 1976; 20:654.

    CAS  PubMed  Google Scholar 

  13. Pugh RNH, Murray-Lion IM, Dawson JL, Pietroni MC, Williams R. Transection of the oesophagus for bleeding oesophageal varices. Br J Surg 1979; 60:646.

    Google Scholar 

  14. Malinchoc M, Kamath PS, Gordon FD, et al. A model to predict poor survival in patients undergoing transjugular intrahepatic portosystemic shunts. Hepatology 2000; 31:864.

    CAS  PubMed  Google Scholar 

  15. Weinstein MC, Fineberg HV. Clinical decision analysis. Philadelphia: Saunders, 1980.

  16. Hanley YA, McNeil BJ. A method of comparing the areas under receiver operating characteristic curves derived from the same case. Radiology 1983; 148:839.

    CAS  PubMed  Google Scholar 

  17. Youden WJ. Index for rating diagnostic tests. Cancer 1950; 3:32.

    Google Scholar 

  18. Kaplan EL, Meier P. Nonparametric estimation from incomplete observations. J Am Statist Assoc 1958; 53:457.

    Google Scholar 

  19. Gehan EA. A generalized two-sample Wilcoxon test for doubly censored data. Biometrika 1965; 52:203.

    CAS  Google Scholar 

  20. Schlichting P, Christensen E. Prognostic factors in cirrhosis identified by Cox's regression model. Hepatology 1983; 3:889.

    CAS  PubMed  Google Scholar 

  21. Toledo C, Salmeron JM, Rimola A, Navasa M, Arroyo V, Liach J. Spontaneous bacterial peritonitis in cirrhosis: predictive factors of infection, resolution, and survival in patients treated with cefotoxime. Hepatology 1993; 17:251.

    CAS  PubMed  Google Scholar 

  22. Infante-Rivard C, Esnaola S, Villeneuve JP. Clinical and statistical validity of conventional prognostic factors in predicting short-term survival among cirrhotics. Hepatology 1987; 7:660.

    CAS  PubMed  Google Scholar 

  23. Deschênes M, Villeneuve JP, Dagenais M, et al. Lack of relationship between preoperative measures of the severity of cirrhosis and short-term survival after liver transplantation. Liver Transpl Surg 1997; 3:527.

    Google Scholar 

  24. Oellerich M, Burdelski D, Lautz HU, Binder L, Pichlmayr R. Predictors of one year pretransplant survival in patients with cirrhosis. Hepatology 1991; 14:1029.

    CAS  PubMed  Google Scholar 

  25. Keeffe EB. Summary of guidelines on organ allocation and patient listing for liver transplantation. Liver Transpl Surg 1998; 4: S108.

    CAS  PubMed  Google Scholar 

  26. Conn HO. A peek at the Child-Turcotte classification. Hepatology 1981; 1:673.

    CAS  PubMed  Google Scholar 

  27. Wiesner RH, McDiarmid SV, Kamath PS, et al. MELD and PELD: application of survival models to liver allocation. Liver Transpl 2001; 7:567.

    Article  CAS  PubMed  Google Scholar 

  28. Brown RS Jr, Kumar KS, Russo MW, et al. Model for end-stage liver disease and Child--Turcotte-Pugh score as predictors of pretransplantation disease severity, posttransplantation outcome, and resource utilization in United Network for Organ Sharing status 2A patients. Liver Transpl 2002; 8:278.

    Article  PubMed  Google Scholar 

  29. Christensen E, Schlichting P, Fauerholdt L, et al. Prognostic value of Child-Turcotte criteria in medically treated cirrhosis. Hepatology 1984; 4:430.

    CAS  PubMed  Google Scholar 

  30. Sheilman RG, Fulkerson WJ, Delong E, Piantadosi CA. Prognosis of patients with cirrhosis and chronic liver disease admitted to the medical intensive care unit. Crit Care Med 1998; 16:671.

    Google Scholar 

  31. Robert A, Chazouilleres O. Prothrombin time in liver failure: time, ratio, activity percentage, or international normalized ratio? Hepatology 1996; 24:1392.

    CAS  PubMed  Google Scholar 

  32. Llach J, Gines P, Arroyo V, et al. Prognostic value of arterial pressure, endogenous vasoactive systems, and renal function in cirrhotic patients admitted to the hospital for the treatment of ascites. Gastroenterology 1988; 94:482.

    CAS  PubMed  Google Scholar 

  33. Cabre E, Gassull MA. Nutritional support in liver disease. Eur J Gastroenterol Hepatol 1995; 7:528.

    CAS  PubMed  Google Scholar 

  34. Carale JE, McCashland TM, Lyden E, Schafer DF, Sorrell MF, Langnas A. MELD scoring system is not predictive of mortality in patients waiting for liver transplantation (abstract). Gastroenterology 2001: A69.

  35. Everson GT. MELD: the answer or just more questions? Gastroenterology 2003; 124:251.

    Article  PubMed  Google Scholar 

  36. Beuers U, Jäger F, Wahländer A, Ansari H, Kirsh CM. Prognostic value of the intravenous14C-aminopyrine breath test compared to the Child-Pugh score and serum bile acids in 84 cirrhotic patients. Digestion 1991; 50:212.

    CAS  PubMed  Google Scholar 

  37. Merkel C, Bolognesis M, Bellon S, et al. Aminopyrine breath test in the prognostic evaluation of patients with cirrhosis. Gut 1992; 33:836.

    CAS  PubMed  Google Scholar 

  38. Urbain D, Muls V, Thys O, Ham R. Aminopyrine breath test improves long-term prognostic evaluation in patients with alcoholic cirrhosis in Child classes A and B. J Hepatol 1995; 22:179.

    Article  CAS  PubMed  Google Scholar 

  39. Adler M, Van Laethem JL, Gilbert A, et al. Factors influencing survival at one year in patients with non-biliary hepatic cirrhosis. Dig Dis Sci 1990; 35:1.

    CAS  PubMed  Google Scholar 

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Acknowledgements

The authors thank F. Martinez for typing the manuscript and E. François for his constructive advice.

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Correspondence to Michael Adler.

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Degré, D., Bourgeois, N., Boon, N. et al. Aminopyrine breath test compared to the MELD and Child-Pugh scores for predicting mortality among cirrhotic patients awaiting liver transplantation. Transpl Int 17, 31–38 (2004). https://doi.org/10.1007/s00147-003-0655-6

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  • DOI: https://doi.org/10.1007/s00147-003-0655-6

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