RISK FACTORS OF GRAFT SURVIVAL AFTER DIAGNOSIS OF POST-KIDNEY TRANSPLANT MALIGNANCY: USING COX PROPORTIONAL HAZARD MODEL

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RAHIMI FOROUSHANI ABBAS; SALESI MAHMOUD; ROSTAMI ZOHREH; MEHRAZMAY ALIREZA; MOHAMMADI JAMILE; EINOLLAHI BEHZAD; ESHRAGHIAN MOHAMMAD REZA

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Journal: Iranian Red Crescent Medical Journal Year:2015 | Volume:17 | Issue:11 Page(s): 0-0

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Title

RISK FACTORS OF GRAFT SURVIVAL AFTER DIAGNOSIS OF POST-KIDNEY TRANSPLANT MALIGNANCY: USING COX PROPORTIONAL HAZARD MODEL

Author(s)

Keywords

NEOPLASMS

KIDNEY TRANSPLANT

PROPORTIONAL HAZARDS MODEL

Abstract

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.

Cites

ASSESSING RISK INDICATORS OF ALLOGRAFT SURVIVAL OF RENAL TRANSPLANT: AN APPLICATION OF JOINT MODELING OF LONGITUDINAL AND TIME-TO-EVENT ANALYSIS

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APA: Copy

RAHIMI FOROUSHANI, ABBAS, SALESI, MAHMOUD, ROSTAMI, ZOHREH, MEHRAZMAY, ALIREZA, MOHAMMADI, JAMILE, EINOLLAHI, BEHZAD, & ESHRAGHIAN, MOHAMMAD REZA. (2015). RISK FACTORS OF GRAFT SURVIVAL AFTER DIAGNOSIS OF POST-KIDNEY TRANSPLANT MALIGNANCY: USING COX PROPORTIONAL HAZARD MODEL. IRANIAN RED CRESCENT MEDICAL JOURNAL (IRCMJ), 17(11), 0-0. SID. https://sid.ir/paper/293139/en

Vancouver: Copy

RAHIMI FOROUSHANI ABBAS, SALESI MAHMOUD, ROSTAMI ZOHREH, MEHRAZMAY ALIREZA, MOHAMMADI JAMILE, EINOLLAHI BEHZAD, ESHRAGHIAN MOHAMMAD REZA. RISK FACTORS OF GRAFT SURVIVAL AFTER DIAGNOSIS OF POST-KIDNEY TRANSPLANT MALIGNANCY: USING COX PROPORTIONAL HAZARD MODEL. IRANIAN RED CRESCENT MEDICAL JOURNAL (IRCMJ)[Internet]. 2015;17(11):0-0. Available from: https://sid.ir/paper/293139/en

IEEE: Copy

ABBAS RAHIMI FOROUSHANI, MAHMOUD SALESI, ZOHREH ROSTAMI, ALIREZA MEHRAZMAY, JAMILE MOHAMMADI, BEHZAD EINOLLAHI, and MOHAMMAD REZA ESHRAGHIAN, “RISK FACTORS OF GRAFT SURVIVAL AFTER DIAGNOSIS OF POST-KIDNEY TRANSPLANT MALIGNANCY: USING COX PROPORTIONAL HAZARD MODEL,” IRANIAN RED CRESCENT MEDICAL JOURNAL (IRCMJ), vol. 17, no. 11, pp. 0–0, 2015, [Online]. Available: https://sid.ir/paper/293139/en

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