Literature DB >> 27467539

National Assessment of Hospitalization Rates for Incident End-Stage Renal Disease After Liver Transplantation.

Nathan P Goodrich1, Douglas E Schaubel, Abigail R Smith, Robert M Merion, Pratima Sharma.   

Abstract

BACKGROUND: We examined the association of incident end-stage renal disease (ESRD) after liver transplantation (LT) and resource utilization using a data linkage between the Scientific Registry of Transplant Recipients and claims data from the Centers for Medicare and Medicaid Services.
METHODS: The study cohort consisted of patients aged ≥18 years who underwent deceased donor LT between January 1, 2003, and December 31, 2010, with Medicare as primary or secondary insurance and were discharged alive from the index LT hospitalization (n = 7019). The association of ESRD and post-LT hospitalization was assessed by sequential stratification, which entailed prognostic score matching of ESRD-free patients to each LT recipient at ESRD onset. The prognostic score was developed from a model of time to hospitalization and included baseline factors and hospitalization history as predictors.
RESULTS: The overall hospitalization rates for LT recipients with and without ESRD were 2.7 and 1.1 per patient-year at risk, respectively. The total number of days hospitalized patient per year was 23 in ESRD and 7 in non-ESRD LT recipients. The adjusted post-LT hospitalization rate was 97% higher after reaching ESRD compared to non-ESRD (hazard ratio, 1.97; P < 0.0001).
CONCLUSIONS: Hospitalization rates increased significantly for LT recipients after ESRD onset. Early risk factor modification efforts targeting patients who are at high ESRD risk may reduce post-LT ESRD incidence and hence decrease morbidity and cost among LT recipients.

Entities:  

Mesh:

Year:  2016        PMID: 27467539      PMCID: PMC5030138          DOI: 10.1097/TP.0000000000001348

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  14 in total

1.  Computationally efficient marginal models for clustered recurrent event data.

Authors:  Dandan Liu; Douglas E Schaubel; John D Kalbfleisch
Journal:  Biometrics       Date:  2011-09-29       Impact factor: 2.571

2.  Patient-specific prediction of ESRD after liver transplantation.

Authors:  Pratima Sharma; Nathan P Goodrich; Douglas E Schaubel; Mary K Guidinger; Robert M Merion
Journal:  J Am Soc Nephrol       Date:  2013-09-12       Impact factor: 10.121

3.  High mortality in orthotopic liver transplant recipients who require hemodialysis.

Authors:  Martin S Zand; Mark S Orloff; Peter Abt; Siddharth Patel; George Tsoulfas; Randeep Kashyap; Ashok Jain; Saman Safadjou; Adel Bozorgzadeh
Journal:  Clin Transplant       Date:  2011 Mar-Apr       Impact factor: 2.863

4.  A semiparametric additive rates model for recurrent event data.

Authors:  Douglas E Schaubel; Donglin Zeng; Jianwen Cai
Journal:  Lifetime Data Anal       Date:  2006-09-20       Impact factor: 1.588

5.  Impact of MELD-based allocation on end-stage renal disease after liver transplantation.

Authors:  P Sharma; D E Schaubel; M K Guidinger; N P Goodrich; A O Ojo; R M Merion
Journal:  Am J Transplant       Date:  2011-08-22       Impact factor: 8.086

Review 6.  Scientific Registry of Transplant Recipients: collecting, analyzing, and reporting data on transplantation in the United States.

Authors:  Susan Leppke; Tabitha Leighton; David Zaun; Shu-Cheng Chen; Melissa Skeans; Ajay K Israni; Jon J Snyder; Bertram L Kasiske
Journal:  Transplant Rev (Orlando)       Date:  2013-03-06       Impact factor: 3.943

7.  Continued influence of preoperative renal function on outcome of orthotopic liver transplant (OLTX) in the US: where will MELD lead us?

Authors:  T A Gonwa; M A McBride; K Anderson; M L Mai; H Wadei; N Ahsan
Journal:  Am J Transplant       Date:  2006-08-25       Impact factor: 8.086

8.  A sequential stratification method for estimating the effect of a time-dependent experimental treatment in observational studies.

Authors:  Douglas E Schaubel; Robert A Wolfe; Friedrich K Port
Journal:  Biometrics       Date:  2006-09       Impact factor: 2.571

9.  Risk of end-stage renal disease among liver transplant recipients with pretransplant renal dysfunction.

Authors:  R Ruebner; D Goldberg; P L Abt; R Bahirwani; M Levine; D Sawinski; R D Bloom; P P Reese
Journal:  Am J Transplant       Date:  2012-07-03       Impact factor: 8.086

10.  Effect of pretransplant serum creatinine on the survival benefit of liver transplantation.

Authors:  Pratima Sharma; Douglas E Schaubel; Mary K Guidinger; Robert M Merion
Journal:  Liver Transpl       Date:  2009-12       Impact factor: 5.799

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  1 in total

1.  National assessment of early hospitalization after liver transplantation: Risk factors and association with patient survival.

Authors:  Pratima Sharma; Nathan P Goodrich; Douglas E Schaubel; Abigail R Smith; Robert M Merion
Journal:  Liver Transpl       Date:  2017-09       Impact factor: 5.799

  1 in total

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