Literature DB >> 9884274

Risks and costs of end-stage renal disease after heart transplantation.

J Hornberger1, J Best, J Geppert, M McClellan.   

Abstract

OBJECTIVES: To estimate the risks and costs of end-stage renal disease (ESRD) after heart transplantation.
BACKGROUND: Previous studies have shown high rates of ESRD among solid-organ transplant patients, but the relevance of these studies for current transplant practices and policies is unclear. Limitations of prior studies include relatively small, single-center samples and estimates made before implementing suggested practice changes to reduce ESRD risk.
METHODS: Medicare beneficiaries who underwent heart transplantation between 1989 and 1994 were eligible for study inclusion (n=2088). Thirty-four patients undergoing dialysis or who had the diagnosis of ESRD before or at transplantation were excluded from the study. ESRD was defined as any patient undergoing renal transplantation or requiring dialysis for more than 3 months. Mortality and ESRD events were recorded up to 1995. ESRD risk was estimated using the Kaplan-Meier product-limit estimator and logistic regression analyses. Linear regression was performed to determine expenditures for treating ESRD, and we developed long-term models of the risk and direct medical costs of ESRD care.
RESULTS: The annual risk of ESRD was 0.37% in the first year after transplant and increased to 4.49% by the sixth posttransplant year. There was no significant trend in the risk of ESRD based on the year of transplantation, even after adjusting for patient characteristics. The average cumulative 10-year direct cost of ESRD per patient undergoing heart transplantation exceeded $13,000.
CONCLUSIONS: In a large, national sample of patients undergoing heart transplantation, ESRD is not rare, even for patients undergoing transplant after the development of new practices intended to reduce its occurrence. ESRD remains an important component of the costs of heart transplantation.

Entities:  

Mesh:

Year:  1998        PMID: 9884274     DOI: 10.1097/00007890-199812270-00034

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


  4 in total

1.  Improving predictions in imbalanced data using Pairwise Expanded Logistic Regression.

Authors:  Xiaoqian Jiang; Robert El-Kareh; Lucila Ohno-Machado
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Striking a Balance in Simultaneous Heart Kidney Transplant: Optimizing Outcomes for All Wait-Listed Patients.

Authors:  Brian I Shaw; Debra L Sudan; L Ebony Boulware; Lisa M McElroy
Journal:  J Am Soc Nephrol       Date:  2020-06-04       Impact factor: 10.121

3.  Predicting Post-Heart Transplant Composite Renal Outcome Risk in Adults: A Machine Learning Decision Tool.

Authors:  Mutlu Mete; Mehmet U S Ayvaci; Venkatesh K Ariyamuthu; Alpesh Amin; Matthias Peltz; Jennifer T Thibodeau; Justin L Grodin; Pradeep P A Mammen; Sonia Garg; Faris Araj; Robert Morlend; Mark H Drazner; Nashila AbdulRahim; Yeongin Kim; Yusuf Salam; Ahmet B Gungor; Bulent Delibasi; Suman K Kotla; Malcolm P MacConmara; Prince Mohan Anand; Gaurav Gupta; Bekir Tanriover
Journal:  Kidney Int Rep       Date:  2022-04-09

Review 4.  Mycophenolate mofetil: a pharmacoeconomic review of its use in solid organ transplantation.

Authors:  Melissa Young; Greg L Plosker
Journal:  Pharmacoeconomics       Date:  2002       Impact factor: 4.981

  4 in total

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