Literature DB >> 26947766

The new liver allocation score for transplantation is validated and improved transplant survival benefit in Germany but not in the United Kingdom.

Harald Schrem1,2, Moritz Focken1, Bridget Gunson3,4, Benedikt Reichert5, Darius Mirza3, Hans-Heinrich Kreipe6, Desley Neil7, Alexander Kaltenborn1,8, Alon Goldis9, Christian Krauth10, Keith Roberts3, Thomas Becker5, Jürgen Klempnauer2, James Neuberger3,11.   

Abstract

Prognostic models for the prediction of 90-day mortality after transplantation with pretransplant donor and recipient variables are needed to calculate transplant benefit. Transplants in adult recipients in Germany (Hannover, n = 770; Kiel, n = 234) and the United Kingdom (Birmingham, n = 829) were used for prognostic model design and validation in separate training and validation cohorts. The survival benefit of transplantation was estimated by subtracting the observed posttransplant 90-day mortality from the expected 90-day mortality without transplantation determined by the Model for End-Stage Liver Disease (MELD) score. A prognostic model called the liver allocation score (LivAS) was derived using a randomized sample from Hannover using pretransplant donor and recipient variables. This model could be validated in the German training and validation cohorts (area under the receiver operating characteristic curve [AUROC] > 0.70) but not in the English cohort (AUROC, 0.58). Although 90-day mortality rates after transplantation were 13.7% in Hannover, 12.1% in Kiel, and 8.3% in Birmingham, the calculated 90-day survival benefits of transplantation were 6.8% in Hannover, 7.8% in Kiel, and 2.8% in Birmingham. Deployment of the LivAS for limiting allocation to donor and recipient combinations with likely 90-day survival as indicated by pretransplant LivAS values below the cutoff value would have increased the survival benefit to 12.9% in the German cohorts, whereas this would have decreased the benefit in England to 1.3%. The English and German cohorts revealed significant differences in 21 of 28 pretransplant variables. In conclusion, the LivAS could be validated in Germany and may improve German allocation policies leading to greater survival benefits, whereas validation failed in England due to profound differences in the selection criteria for liver transplantation. This study suggests the need for national prognostic models. Even though the German centers had higher rates of 90-day mortality, estimated survival benefits were greater. Liver Transplantation 22 743-756 2016 AASLD.
© 2016 American Association for the Study of Liver Diseases.

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Mesh:

Year:  2016        PMID: 26947766     DOI: 10.1002/lt.24421

Source DB:  PubMed          Journal:  Liver Transpl        ISSN: 1527-6465            Impact factor:   5.799


  8 in total

1.  Statistical approach to quality assessment in liver transplantation.

Authors:  Harald Schrem; Sophia Volz; Hans-Friedrich Koch; Jill Gwiasda; Priscila Kürsch; Alon Goldis; Daniel Pöhnert; Markus Winny; Jürgen Klempnauer; Alexander Kaltenborn
Journal:  Langenbecks Arch Surg       Date:  2017-09-09       Impact factor: 3.445

2.  Potential savings in the treatment pathway of liver transplantation: an inter-sectorial analysis of cost-rising factors.

Authors:  Lena Harries; Jill Gwiasda; Zhi Qu; Harald Schrem; Christian Krauth; Volker Eric Amelung
Journal:  Eur J Health Econ       Date:  2018-07-26

Review 3.  [Donor liver histology : Joint recommendations of the DGP, DTG and DSO].

Authors:  C Schleicher; H-H Kreipe; P Schemmer; C P Strassburg; C-L Fischer-Fröhlich; A Rahmel; C Flechtenmacher
Journal:  Chirurg       Date:  2019-11       Impact factor: 0.955

Review 4.  Systematic Review of Public Preferences for the Allocation of Donor Organs for Transplantation: Principles of Distributive Justice.

Authors:  Carina Oedingen; Tim Bartling; Axel C Mühlbacher; Harald Schrem; Christian Krauth
Journal:  Patient       Date:  2019-10       Impact factor: 3.883

5.  Identifying independent risk factors for graft loss after primary liver transplantation.

Authors:  Jill Gwiasda; Harald Schrem; Jürgen Klempnauer; Alexander Kaltenborn
Journal:  Langenbecks Arch Surg       Date:  2017-06-01       Impact factor: 3.445

6.  Prognostic factors for long-term survival after adult liver transplantation.

Authors:  Soufiane Filali Bouami; Jill Gwiasda; Jan Beneke; Alexander Kaltenborn; Sebastian Liersch; Eduardo M Suero; Hans-Friedrich Koch; Christian Krauth; Jürgen Klempnauer; Harald Schrem
Journal:  Langenbecks Arch Surg       Date:  2018-04-02       Impact factor: 3.445

7.  Chemotherapy and Hepatic Steatosis: Impact on Postoperative Morbidity and Survival after Liver Resection for Colorectal Liver Metastases.

Authors:  Jan C Mahlmann; Thomas C Wirth; Björn Hartleben; Harald Schrem; Jens F Mahlmann; Alexander Kaltenborn; Jürgen Klempnauer; Ulf Kulik
Journal:  Visc Med       Date:  2020-10-09

8.  Public preferences for the allocation of donor organs for transplantation: Focus group discussions.

Authors:  Carina Oedingen; Tim Bartling; Marie-Luise Dierks; Axel C Mühlbacher; Harald Schrem; Christian Krauth
Journal:  Health Expect       Date:  2020-03-18       Impact factor: 3.377

  8 in total

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