PURPOSE: We investigated the prognostic significance of postoperative infections for the outcome of 192 patients with colon cancer. METHODS: The 5-year survival rates were analyzed by the Kaplan-Meier technique. Univariate and multivariate analyses were done to evaluate prognostic variables using Cox's proportional hazard model. RESULTS: Forty-three patients developed deep incisional or organ/space surgical site infections. The groups with and without infection were comparable. Multivariate analysis showed that only Dukes' stage (p=0.048) and postoperative infection (p=0.011) were independently associated with outcome. In patients with infective complications, the survival rate was significantly lower than in subjects without infection (log rank p=0.0004). CONCLUSIONS: These results stress the importance of evaluating variables other than the classical tumor stage in predicting long-term cancer outcome
Nespoli, A., Gianotti, L., Bovo, G., Brivio, F., Nespoli, L., Totis, M. (2006). Impact of postoperative infections on survival in colon cancer patients. SURGICAL INFECTIONS, 7(Suppl. 2), S41-S43 [10.1089/sur.2006.7.s2-41].
Impact of postoperative infections on survival in colon cancer patients
NESPOLI, ANGELO;GIANOTTI, LUCA VITTORIO;NESPOLI, LUCA CARLO;
2006
Abstract
PURPOSE: We investigated the prognostic significance of postoperative infections for the outcome of 192 patients with colon cancer. METHODS: The 5-year survival rates were analyzed by the Kaplan-Meier technique. Univariate and multivariate analyses were done to evaluate prognostic variables using Cox's proportional hazard model. RESULTS: Forty-three patients developed deep incisional or organ/space surgical site infections. The groups with and without infection were comparable. Multivariate analysis showed that only Dukes' stage (p=0.048) and postoperative infection (p=0.011) were independently associated with outcome. In patients with infective complications, the survival rate was significantly lower than in subjects without infection (log rank p=0.0004). CONCLUSIONS: These results stress the importance of evaluating variables other than the classical tumor stage in predicting long-term cancer outcome
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