Literature DB >> 28889185

Statistical approach to quality assessment in liver transplantation.

Harald Schrem1,2, Sophia Volz1, Hans-Friedrich Koch1, Jill Gwiasda1, Priscila Kürsch1, Alon Goldis1, Daniel Pöhnert2, Markus Winny2, Jürgen Klempnauer2, Alexander Kaltenborn3,4.   

Abstract

PURPOSE: This study investigated the utility of retrospective two one-sided cumulative sum (CUSUM) charts combined with multivariable regression analysis in liver transplantation for transplant center benchmarking.
METHODS: One thousand seven hundred and forty-nine consecutive adult primary liver transplants (January 1, 1983 to December 31, 2012) were analyzed retrospectively with two one-sided CUSUM chart analysis of 90-day mortality.
RESULTS: Three eras and two subseries in latest era 3 were identified due to graphically delineated relevant shifts in mean 90-day mortality. Delineation of eras 1, 2, and 3 coincided with relevant changes in allocation policies. CUSUM analysis detected a resurgence of higher mean 90-day mortality in era 3 after results had improved continuously over 25 years. In era 3, two subseries were identified with improving mean 90-day mortality rates from 15.4% in subseries 1 to 8.9% in the following subseries 2. The quantitative influence of independent risk factors on 90-day mortality differed markedly between all identified eras and subseries as assessed with multivariable regression analysis deployed on era-specific subcohorts.
CONCLUSION: The assessed methodology is able to identify meaningful center-specific eras and subseries of liver transplantation with striking alterations of the significance and weight of outcome drivers for post-transplant 90-day mortality over time. This warrants the introduction of prospective risk-adjusted two one-sided CUSUM chart analysis into quality management in liver transplantation in Germany with the goal to obtain alarm signals as early as possible.

Keywords:  Mortality; Multivariable regression; Purposeful variable selection; Risk factors for survival; Risk-adjusted analysis

Mesh:

Year:  2017        PMID: 28889185     DOI: 10.1007/s00423-017-1612-7

Source DB:  PubMed          Journal:  Langenbecks Arch Surg        ISSN: 1435-2443            Impact factor:   3.445


  17 in total

Review 1.  Review of methods for measuring and comparing center performance after organ transplantation.

Authors:  James Neuberger; Sue Madden; David Collett
Journal:  Liver Transpl       Date:  2010-10       Impact factor: 5.799

2.  Transplant center quality assessment using a continuously updatable, risk-adjusted technique (CUSUM).

Authors:  D A Axelrod; M K Guidinger; R A Metzger; R H Wiesner; R L Webb; R M Merion
Journal:  Am J Transplant       Date:  2006-02       Impact factor: 8.086

3.  The introduction of MELD-based organ allocation impacts 3-month survival after liver transplantation by influencing pretransplant patient characteristics.

Authors:  Tobias J Weismüller; Ahmed Negm; Thomas Becker; Hannelore Barg-Hock; Jürgen Klempnauer; Michael P Manns; Christian P Strassburg
Journal:  Transpl Int       Date:  2009-07-10       Impact factor: 3.782

Review 4.  [Deceased donor liver transplantation].

Authors:  D Seehofer; W Schöning; P Neuhaus
Journal:  Chirurg       Date:  2013-05       Impact factor: 0.955

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

Authors:  Harald Schrem; Moritz Focken; Bridget Gunson; Benedikt Reichert; Darius Mirza; Hans-Heinrich Kreipe; Desley Neil; Alexander Kaltenborn; Alon Goldis; Christian Krauth; Keith Roberts; Thomas Becker; Jürgen Klempnauer; James Neuberger
Journal:  Liver Transpl       Date:  2016-06       Impact factor: 5.799

6.  Multicentric evaluation of model for end-stage liver disease-based allocation and survival after liver transplantation in Germany--limitations of the 'sickest first'-concept.

Authors:  Tobias J Weismüller; Panagiotis Fikatas; Jan Schmidt; Ana P Barreiros; Gerd Otto; Susanne Beckebaum; Andreas Paul; Markus N Scherer; Hartmut H Schmidt; Hans J Schlitt; Peter Neuhaus; Jürgen Klempnauer; Johann Pratschke; Michael P Manns; Christian P Strassburg
Journal:  Transpl Int       Date:  2010-09-03       Impact factor: 3.782

Review 7.  Liver transplantation in the high MELD era: a fair chance for everyone?

Authors:  Marcus Bahra; Peter Neuhaus
Journal:  Langenbecks Arch Surg       Date:  2011-03-08       Impact factor: 3.445

8.  Analysis of the surgical learning curve using the cumulative sum (CUSUM) method.

Authors:  Turlough Maguire; Christopher J Mayne; Tim Terry; Douglas G Tincello
Journal:  Neurourol Urodyn       Date:  2013-01-28       Impact factor: 2.696

9.  Liver transplantation in highest acuity recipients: identifying factors to avoid futility.

Authors:  Henrik Petrowsky; Abbas Rana; Fady M Kaldas; Anuj Sharma; Johnny C Hong; Vatche G Agopian; Francisco Durazo; Henry Honda; Jeffrey Gornbein; Victor Wu; Douglas G Farmer; Jonathan R Hiatt; Ronald W Busuttil
Journal:  Ann Surg       Date:  2014-06       Impact factor: 12.969

10.  Prognostic limitations of the Eurotransplant-Donor Risk Index in liver transplantation.

Authors:  Benedikt Reichert; Alexander Kaltenborn; Alon Goldis; Harald Schrem
Journal:  J Negat Results Biomed       Date:  2013-12-24
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  1 in total

1.  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

  1 in total

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