BACKGROUND: The outcome of liver transplantation (LTx) has been correlated with several donor and recipient factors. METHODS: A database of 191 consecutive LTx cases was analyzed using Kaplan-Meier and Cox regression statistics based on 80 variables. To avoid additional effects of late events on patient survival, the chosen endpoint was 6 months. Data were evaluated using SPSS statistical software. RESULTS: Kaplan-Meier analysis revealed a difference in 1- to 6-month graft survival between patients transplanted with organs from donors older versus younger than 60 years (Breslow, P <.01). Differences in 1- to 6-month graft survivals were observed between patients listed as UNOS status 3, 2B, 2A, and 1: the outcomes for UNOS status 2B versus UNOS status 2A and UNOS status 2B versus status 1 were significant (P <.05). Differences in 1- to 6-month graft survival rates were found between patients with versus without sepsis (P <.05), and with versus without rejection episodes (P <.01). Cox regression analysis revealed only three of the variables to be independent prognostic predictors of graft failure: donor age; postoperative septic status; and rejection. The best mathematical multivariate Cox regression model linked donor age + donor Na + rejection + sepsis to 1- to 6-month graft survival (chi-square = 29.06, P <.001). CONCLUSION: Factors predictive of 1- to 6-month graft survival after liver transplantation include donor age; UNOS status; sepsis; and rejection.

Avolio, A. W., Agnes, S., Gaspari, R., Chirico, A., Sganga, G., Frongillo, F., Pepe, G., Castagneto, M., Prediction of 6-month survival after liver transplantation using Cox regression., <<TRANSPLANTATION PROCEEDINGS>>, 2004; 2004 (Aprile): 529-532 [http://hdl.handle.net/10807/37114]

Prediction of 6-month survival after liver transplantation using Cox regression.

Avolio, Alfonso Wolfango;Agnes, Salvatore;Gaspari, Rita;Sganga, Gabriele;Frongillo, Francesco;Pepe, Gilda;Castagneto, Marco
2004

Abstract

BACKGROUND: The outcome of liver transplantation (LTx) has been correlated with several donor and recipient factors. METHODS: A database of 191 consecutive LTx cases was analyzed using Kaplan-Meier and Cox regression statistics based on 80 variables. To avoid additional effects of late events on patient survival, the chosen endpoint was 6 months. Data were evaluated using SPSS statistical software. RESULTS: Kaplan-Meier analysis revealed a difference in 1- to 6-month graft survival between patients transplanted with organs from donors older versus younger than 60 years (Breslow, P <.01). Differences in 1- to 6-month graft survivals were observed between patients listed as UNOS status 3, 2B, 2A, and 1: the outcomes for UNOS status 2B versus UNOS status 2A and UNOS status 2B versus status 1 were significant (P <.05). Differences in 1- to 6-month graft survival rates were found between patients with versus without sepsis (P <.05), and with versus without rejection episodes (P <.01). Cox regression analysis revealed only three of the variables to be independent prognostic predictors of graft failure: donor age; postoperative septic status; and rejection. The best mathematical multivariate Cox regression model linked donor age + donor Na + rejection + sepsis to 1- to 6-month graft survival (chi-square = 29.06, P <.001). CONCLUSION: Factors predictive of 1- to 6-month graft survival after liver transplantation include donor age; UNOS status; sepsis; and rejection.
Inglese
www.transplantation-proceedings.org/
Avolio, A. W., Agnes, S., Gaspari, R., Chirico, A., Sganga, G., Frongillo, F., Pepe, G., Castagneto, M., Prediction of 6-month survival after liver transplantation using Cox regression., <>, 2004; 2004 (Aprile): 529-532 [http://hdl.handle.net/10807/37114]
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10807/37114
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