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Risk Factors of Graft Survival After Diagnosis of Post-kidney Transplant Malignancy: Using Cox Proportional Hazard Model

BACKGROUND: All recipients of kidney transplantation, especially those with posttransplant malignancy, are at risk of long-term graft failure. OBJECTIVES: The purpose of our study was to evaluate the risk factors associated with graft survival after diagnosis of malignancy. PATIENTS AND METHODS: To...

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Autores principales: Rahimi Foroushani, Abbas, Salesi, Mahmoud, Rostami, Zohreh, Mehrazmay, Ali Reza, Mohammadi, Jamile, Einollahi, Behzad, Eshraghian, Mohammad Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kowsar 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4698137/
https://www.ncbi.nlm.nih.gov/pubmed/26734477
http://dx.doi.org/10.5812/ircmj.20281
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author Rahimi Foroushani, Abbas
Salesi, Mahmoud
Rostami, Zohreh
Mehrazmay, Ali Reza
Mohammadi, Jamile
Einollahi, Behzad
Eshraghian, Mohammad Reza
author_facet Rahimi Foroushani, Abbas
Salesi, Mahmoud
Rostami, Zohreh
Mehrazmay, Ali Reza
Mohammadi, Jamile
Einollahi, Behzad
Eshraghian, Mohammad Reza
author_sort Rahimi Foroushani, Abbas
collection PubMed
description BACKGROUND: All recipients of kidney transplantation, especially those with posttransplant malignancy, are at risk of long-term graft failure. OBJECTIVES: The purpose of our study was to evaluate the risk factors associated with graft survival after diagnosis of malignancy. PATIENTS AND METHODS: To reach this purpose, we conducted a historical cohort study in Iran and 266 cases with posttransplant malignancy were followed up from diagnosis of malignancy until long-term graft loss or the date of last visit. These patients were taken as a census from 16 Transplant Centers in Iran during 22 years follow-up period since October 1984 to December 2008. A Cox proportional hazards model was performed to determine the important independent predictors of graft survival after malignancy. RESULTS: At the end of the study, long-term graft failure was seen in 27 (10.2%) cases. One-year and 2-year graft survival after diagnosis of cancer were 93.6% and 91.7%, respectively. The univariate analysis showed that the incidence of chronic graft loss was significantly higher in male patients with solid cancers, withdrawal of immunosuppressant regimen, no response to treatment, and tumor metastasis. In continuation, the Cox model indicated that the significant risk factors associated with graft survival were type of cancer (P < 0.0001), response to treatment (P < 0.0001, HR = 0.14, 95% CI: 0.06 - 0.32), metastasis (P < 0.0001, HR = 5.68, 95% CI: 2.24 - 14.42), and treatment modality (P = 0.0001). CONCLUSIONS: By controlling the modifiable risk factors and modality of treatment in our study, physicians can reach more effective treatment.
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spelling pubmed-46981372016-01-05 Risk Factors of Graft Survival After Diagnosis of Post-kidney Transplant Malignancy: Using Cox Proportional Hazard Model Rahimi Foroushani, Abbas Salesi, Mahmoud Rostami, Zohreh Mehrazmay, Ali Reza Mohammadi, Jamile Einollahi, Behzad Eshraghian, Mohammad Reza Iran Red Crescent Med J Research Article BACKGROUND: All recipients of kidney transplantation, especially those with posttransplant malignancy, are at risk of long-term graft failure. OBJECTIVES: The purpose of our study was to evaluate the risk factors associated with graft survival after diagnosis of malignancy. PATIENTS AND METHODS: To reach this purpose, we conducted a historical cohort study in Iran and 266 cases with posttransplant malignancy were followed up from diagnosis of malignancy until long-term graft loss or the date of last visit. These patients were taken as a census from 16 Transplant Centers in Iran during 22 years follow-up period since October 1984 to December 2008. A Cox proportional hazards model was performed to determine the important independent predictors of graft survival after malignancy. RESULTS: At the end of the study, long-term graft failure was seen in 27 (10.2%) cases. One-year and 2-year graft survival after diagnosis of cancer were 93.6% and 91.7%, respectively. The univariate analysis showed that the incidence of chronic graft loss was significantly higher in male patients with solid cancers, withdrawal of immunosuppressant regimen, no response to treatment, and tumor metastasis. In continuation, the Cox model indicated that the significant risk factors associated with graft survival were type of cancer (P < 0.0001), response to treatment (P < 0.0001, HR = 0.14, 95% CI: 0.06 - 0.32), metastasis (P < 0.0001, HR = 5.68, 95% CI: 2.24 - 14.42), and treatment modality (P = 0.0001). CONCLUSIONS: By controlling the modifiable risk factors and modality of treatment in our study, physicians can reach more effective treatment. Kowsar 2015-11-14 /pmc/articles/PMC4698137/ /pubmed/26734477 http://dx.doi.org/10.5812/ircmj.20281 Text en Copyright © 2015, Iranian Red Crescent Medical Journal. http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.
spellingShingle Research Article
Rahimi Foroushani, Abbas
Salesi, Mahmoud
Rostami, Zohreh
Mehrazmay, Ali Reza
Mohammadi, Jamile
Einollahi, Behzad
Eshraghian, Mohammad Reza
Risk Factors of Graft Survival After Diagnosis of Post-kidney Transplant Malignancy: Using Cox Proportional Hazard Model
title Risk Factors of Graft Survival After Diagnosis of Post-kidney Transplant Malignancy: Using Cox Proportional Hazard Model
title_full Risk Factors of Graft Survival After Diagnosis of Post-kidney Transplant Malignancy: Using Cox Proportional Hazard Model
title_fullStr Risk Factors of Graft Survival After Diagnosis of Post-kidney Transplant Malignancy: Using Cox Proportional Hazard Model
title_full_unstemmed Risk Factors of Graft Survival After Diagnosis of Post-kidney Transplant Malignancy: Using Cox Proportional Hazard Model
title_short Risk Factors of Graft Survival After Diagnosis of Post-kidney Transplant Malignancy: Using Cox Proportional Hazard Model
title_sort risk factors of graft survival after diagnosis of post-kidney transplant malignancy: using cox proportional hazard model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4698137/
https://www.ncbi.nlm.nih.gov/pubmed/26734477
http://dx.doi.org/10.5812/ircmj.20281
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