[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 20, Issue 3 ( Summer 2018) ::
koomesh 2018, 20(3): 517-523 Back to browse issues page
Determining affected factors on survival of kidney transplant in living donor patients using a random survival forest
Ghodratollah Roshanaei , Tahereh Omidi , Javad Faradmal * , Maliheh Safari , Jalal Poorolajal
Abstract:   (642 Views)
Introduction: The common method for estimating survival indices is the Cox model. In the data with high volume, different order of interaction in the model is predictable. In that case, performance of the Cox model is not properly. Correspondingly, random survival forest (RSF) model is an alternative to the Cox model in this situation. The aim of this study is to determine factors that affected survival of patients with kidney transplant using RSF.
Materials and Methods: This historical cohort study carried on 459 kidney transplant recipients of living donor during of 1993- 2011 in Hamadan (Iran). Time between kidney transplant and irreversible transplant rejection was considered as a response. Modeling of determinants of survival was performed using Cox and RSF models and they were compared.
Results: The survival rate of 5, 10 and 15 years were 91.6%, 85.3% and 74.9% respectively. Important variables selected based on various criteria in RSF were age of transplant recipient, the patient's condition at discharge, hemoglobin of receptor, the last Creatinine and the use of immunosuppressive drugs (inhibitors drug) in RSF model. Age of recipient, the patient's condition at discharge and the use of immunosuppressive drugs in the Cox model were significant.
Conclusion: Age of recipient, the patient's condition at discharge and the use of immunosuppressive drugs are determined as risk factors in Cox regression while the RSF method with less limited assumptions is able to determine risk factors of survival rate more precisely.
Keywords: kidney Transplantation, Living Donors, Proportional hazard model, Random Survival Forest
Full-Text [PDF 1278 kb]   (113 Downloads)    
Type of Study: Research | Subject: General
Received: 2016/09/28 | Accepted: 2018/02/7 | Published: 2018/06/22
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA code


XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Roshanaei G, Omidi T, Faradmal J, Safari M, Poorolajal J. Determining affected factors on survival of kidney transplant in living donor patients using a random survival forest. koomesh. 2018; 20 (3) :517-523
URL: http://koomeshjournal.semums.ac.ir/article-1-3628-en.html


Volume 20, Issue 3 ( Summer 2018) Back to browse issues page
کومش Koomesh
Persian site map - English site map - Created in 0.08 seconds with 31 queries by YEKTAWEB 3781