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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Kowsar
2015
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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. |
format | Online Article Text |
id | pubmed-4698137 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Kowsar |
record_format | MEDLINE/PubMed |
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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