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Clinical and Developmental Immunology
Volume 2013, Article ID 809847, 5 pages
http://dx.doi.org/10.1155/2013/809847
Clinical Study

APACHE IV Is Superior to MELD Scoring System in Predicting Prognosis in Patients after Orthotopic Liver Transplantation

1The Third Affiliated Hospital, Sun Yat-sen University, 600 Tianhe Road, Guangzhou, Guangdong 510630, China
2The Nursing Academy, Sun Yat-sen University, Guangzhou 510080, China

Received 22 June 2013; Revised 21 October 2013; Accepted 23 October 2013

Academic Editor: Qiquan Sun

Copyright © 2013 Yueyun Hu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. A. Ahmed and E. B. Keeffe, “Current indications and contraindications for liver transplantation,” Clinics in Liver Disease, vol. 11, no. 2, pp. 227–247, 2007. View at Publisher · View at Google Scholar · View at Scopus
  2. Y. Arabi, A. Abbasi, R. Goraj et al., “External validation of a modified model of acute physiology and chronic health evaluation (APACHE) II for orthotopic liver transplant patients,” Critical Care, vol. 6, no. 3, pp. 245–250, 2002. View at Publisher · View at Google Scholar · View at Scopus
  3. M. L. Volk, J. C. Hernandez, A. S. Lok, and J. A. Marrero, “Modified Charlson Comorbidity Index for predicting survival after liver transplantation,” Liver Transplantation, vol. 13, no. 11, pp. 1515–1520, 2007. View at Publisher · View at Google Scholar · View at Scopus
  4. J. E. Zimmerman, A. A. Kramer, D. S. McNair, and F. M. Malila, “Acute physiology and chronic health evaluation (APACHE) IV: hospital mortality assessment for today's critically ill patients,” Critical Care Medicine, vol. 34, no. 5, pp. 1297–1310, 2006. View at Publisher · View at Google Scholar · View at Scopus
  5. J. F. Gallegos-Orozco and H. E. Vargas, “Liver transplantation: from child to MELD,” Medical Clinics of North America, vol. 93, no. 4, pp. 931–950, 2009. View at Publisher · View at Google Scholar · View at Scopus
  6. R. H. Wiesner, S. V. McDiarmid, P. S. Kamath et al., “Meld and peld: application of survival models to liver allocation,” Liver Transplantation, vol. 7, no. 7, pp. 567–580, 2001. View at Publisher · View at Google Scholar · View at Scopus
  7. S. Brinkman, F. Bakhshi-Raiez, A. Abu-Hanna et al., “External validation of acute physiology and chronic health evaluation IV in Dutch intensive care units and comparison with acute physiology and chronic health evaluation II and simplified acute physiology score II,” Journal of Critical Care, vol. 26, no. 1, pp. 105–e18, 2011. View at Publisher · View at Google Scholar · View at Scopus
  8. A. P. Nassar Jr., A. O. Mocelin, A. L. B. Nunes et al., “Caution when using prognostic models: a prospective comparison of 3 recent prognostic models,” Journal of Critical Care, vol. 24, no. 4, pp. 421–423, 2012. View at Publisher · View at Google Scholar · View at Scopus
  9. W. A. Knaus, “APACHE 1978–2001: the development of a quality assurance system based on prognosis: milestones and personal reflections,” Archives of Surgery, vol. 137, no. 1, pp. 37–41, 2002. View at Google Scholar · View at Scopus
  10. R. M. Merion, D. E. Schaubel, D. M. Dykstra, R. B. Freeman, F. K. Port, and R. A. Wolfe, “The survival benefit of liver transplantation,” American Journal of Transplantation, vol. 5, no. 2, pp. 307–313, 2005. View at Publisher · View at Google Scholar · View at Scopus
  11. A. Basile-Filho, E. A. Nicolini, M. Auxiliadora-Martins et al., “Comparison of acute physiology and chronic health evaluation II death risk, Child-Pugh, Charlson, and model for end-stage liver disease indexes to predict early mortality after liver transplantation,” Transplantation Proceedings, vol. 43, no. 5, pp. 1660–1664, 2011. View at Publisher · View at Google Scholar · View at Scopus
  12. P. H. Hayashi, L. Forman, T. Steinberg et al., “Model for end-stage liver diseases score does not predict patient or graft survival in living donor liver transplant recipients,” Liver Transplantation, vol. 9, no. 7, pp. 737–740, 2003. View at Publisher · View at Google Scholar · View at Scopus
  13. H. Y. Yoo and P. J. Thuluvath, “Short-term postliver transplant survival after the introduction of MELD scores for organ allocation in the United States,” Liver International, vol. 25, no. 3, pp. 536–541, 2005. View at Publisher · View at Google Scholar · View at Scopus
  14. P. S. Barie, L. J. Hydo, and E. Fischer, “Utility of illness severity scoring for prediction of prolonged surgical critical care,” Journal of Trauma, vol. 40, no. 4, pp. 513–518, 1996. View at Google Scholar · View at Scopus
  15. J.-L. Vincent and R. Moreno, “Clinical review: scoring systems in the critically ill,” Critical Care, vol. 14, no. 2, article 207, 2010. View at Publisher · View at Google Scholar · View at Scopus
  16. N. A. Halpern, S. M. Pastores, and R. J. Greenstein, “Critical care medicine in the United States 1985–2000: an analysis of bed numbers, use, and costs,” Critical Care Medicine, vol. 32, no. 6, pp. 1254–1259, 2004. View at Publisher · View at Google Scholar · View at Scopus
  17. A. A. Kramer and J. E. Zimmerman, “A predictive model for the early identification of patients at risk for a prolonged intensive care unit length of stay,” BMC Medical Informatics and Decision Making, vol. 10, no. 1, article 27, 2010. View at Publisher · View at Google Scholar · View at Scopus
  18. M. Kastrup, M. Seeling, S. Barthel et al., “Effects of intensivist coverage in a post-anaesthesia care unit on surgical patients' case mix and characteristics of the intensive care unit,” Critical Care, vol. 16, no. 4, article R126, 2012. View at Google Scholar
  19. E. E. Vasilevskis, M. W. Kuzniewicz, B. A. Cason et al., “Mortality probability model III and simplified acute physiology score II: assessing their value in predicting length of stay and comparison to APACHE IV,” Chest, vol. 136, no. 1, pp. 89–101, 2009. View at Publisher · View at Google Scholar · View at Scopus