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Pretreatment elevated prognostic nutritional index predicts a favorable prognosis in patients with prostate cancer

机译:预处理预测预后营养指数预测前列腺癌患者的良好预后

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BACKGROUND:The prognostic nutritional index (PNI), an immunity and nutrition based prognostic score, was correlated with clinical outcomes in different tumors. However, the prognostic significance of PNI has not been investigated in hormone sensitive prostate cancer (PCa). The objective of this study was to determine the prognostic significance of PNI in hormone sensitive PCa.METHODS:Two hundred eighty PCa patients undergoing androgen deprivation therapy (ADT) as first line therapy at three centers were enrolled. The serum albumin levels and peripheral lymphocyte count were measured at the time of diagnosis. PNI was calculated as 10 * serum albumin (g/dL)?+?0.005 * total lymphocyte count (per mm3). Patients were categorized in two groups using a cut-off point of 50.2 as calculated by the receiver-operating curve analysis. Univariate and multivariate cox regression analyses were performed to evaluate PNI as a favorable prognostic factor for progression-free survival (PFS), cancer-specific survival (CSS) and overall survival (OS). Prognostic accuracy was evaluated with the Harrell concordance index.RESULTS:Multivariate analyses identified PNI as an independent prognostic indicator with respect to PFS (hazard ratio (HR)?=?0.521, p?=?0.001), CSS (HR?=?0.421, p?=?0.002) and OS (HR?=?0.429, p?=?0.001). Patients with elevated PNI had better clinical outcomes. The addition of PNI to the final models improved predictive accuracy (c-index: 0.758, 0.830 and 0.782) for PFS, CSS and OS compared with the clinicopathological base models (c-index: 0.736, 0.801 and 0.752), which included Gleason score and incidence of metastasis.CONCLUSIONS:Elevated pretreatment PNI was a favorable prognostic indicator for PCa patients treated with ADT.
机译:背景:预后营养指数(PNI),豁免和营养的预后评分与不同肿瘤中的临床结果相关。然而,在激素敏感前列腺癌(PCA)中尚未研究PNI的预后意义。本研究的目的是确定PNI在激素敏感性PCA中的预后意义。方法:接受雄激素剥夺治疗(ADT)作为三个中心的第一线疗法的两百八十次PCA患者。在诊断时测量血清白蛋白水平和外周淋巴细胞计数。将PNI计算为10 *血清白蛋白(G / DL)?+ 0.005 *总淋巴细胞计数(每mM3)。使用由接收器操作曲线分析计算的截止点分为两组患者。进行单变量和多变量COX回归分析以评估PNI作为无进展存活(PFS),癌症特异性存活(CSS)和总存活(OS)的有利预后因子。通过Harrell Convorcance Index评估预后的准确性。结果:多变量分析将PNI鉴定为相对于PFS的独立预后指示剂(危险比(HR)?= 0.521,P?= 0.001),CSS(HR?= 0.421 ,p?=Δ0.002)和os(hr?=Δ0.429,p?= 0.001)。 PNI升高的患者具有更好的临床结果。与临床病理基础型号(C折射率:0.736,0.801和0.752)相比,PFS,CSS和OS的PFS,CSS和OS的预测精度(C折射率:0.758,0.830和0.782)提高了预测精度(C折射率:0.758,0.830和0.782)。和转移的发病率。结论:预处理PNI是对患者治疗的PCA患者的良好预后指标。

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