AB048. Preoperative prognostic nutritional index and nomogram predicting recurrence-free survival in patients with primary non-muscle invasive bladder cancer without carcinoma in situ
نویسندگان
چکیده
Background: To clarify the prognostic values of serum albumin and peripheral lymphocyte count in patients with non-muscle invasive bladder cancer (NMIBC) and establish a nomogram to predict recurrence-free survival (RFS). Methods: The prognostic nutritional index (PNI) was calculated based on optimal cutoff values of 52.57. RFS was assessed using the Kaplan-Meier method and the equivalences of survival curves were tested. The Cox proportional hazards regression model was applied in univariate and multivariate analyses. Results: In univariate analysis, age, tumor focality, tumor size, tumor grade, T stage and PNI were associated with RFS. And multivariate analysis identified PNI was an independent predictor for RFS in patients with NMIBC. And nomogram for the prediction of recurrence was developed. Conclusions: The evaluation of PNI can be regarded as an independent prognostic factor for predicting RFS in patients with NMIBC. The nomogram could be useful for improving the personalized multidisciplinary therapy for patients with NMIBC.
منابع مشابه
Preoperative prognostic nutritional index and nomogram predicting recurrence-free survival in patients with primary non-muscle-invasive bladder cancer without carcinoma in situ
Background and objectives Among the cancers of the urogenital system, bladder cancer is ranked second both in incidence and mortality, and hence, a more accurate estimate of the prognosis for individual patients with non-muscle-invasive bladder cancer (NMIBC) is urgently needed. Prognostic nutritional index (PNI) which is based on serum albumin levels and peripheral lymphocyte count has been co...
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Background: To clarify the prognostic values of serum albumin and peripheral lymphocyte count in patients with non-muscle invasive bladder cancer (NMIBC) and establish a nomogram to predict recurrence-free survival (RFS). Methods: The prognostic nutritional index (PNI) was calculated based on optimal cutoff values of 52.57. RFS was assessed using the Kaplan-Meier method and the equivalences of ...
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