The preoperative prognostic nutritional index is a predictive and prognostic factor of high-grade serous ovarian cancer.

The preoperative prognostic nutritional index is a predictive and prognostic factor of high-grade serous ovarian cancer.
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DOI:
10.1186/s12885-018-4732-8
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发表时间:
2018-09-10
期刊:
影响因子:
3.8
通讯作者:
Wu X
Wu X
中科院分区:
医学2区
文献类型:
--
作者:
Feng Z;Wen H;Ju X;Bi R;Chen X;Yang W;Wu X

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本研究的目的是探讨基于炎症的预后评分,即预后营养指数(PNI)是否与高级别浆液性卵巢癌(HGSC)患者的临床特征和预后相关。我们回顾性调查了2005年4月至2013年6月在我院接受原发性分期或减容手术的HGSC患者875例。这些患者均未接受新辅助化疗。术前PNI计算为血清白蛋白(g/L) + 0.005 ×淋巴细胞计数(每mm3)。使用在线工具“cut - off Finder”确定总生存期(OS)的最佳PNI临界值。临床特征和PNI比较卡方检验或Fisher精确检验,视情况而定。采用Kaplan-Meier法和Cox比例风险模型分析PNI对OS的影响。PNI中位数(范围)为46.2(29.2-67.7)。45.45的临界值将患者分为高pni组和低pni组。术前低PNI与FIGO晚期、CA125水平升高、腹水更广泛、残留疾病和铂耐药相关。在单变量分析中,高PNI与OS增加相关(p < 0.001)。在多变量分析中,PNI作为连续变量仍然是OS的独立预测因子(p = 0.021),但不作为二分类组(p = 0.346)。我们的研究表明,PNI可以作为HGSC的预测和预后参数。
The aim of our study was to investigate whether an inflammation-based prognostic score, the prognostic nutritional index (PNI), was associated with clinical characteristics and prognosis in patients with high-grade serous ovarian cancer (HGSC). We retrospectively investigated 875 patients who underwent primary staging or debulking surgery for HGSC between April 2005 and June 2013 at our institution. None of these patients received neoadjuvant chemotherapy. Preoperative PNI was calculated as serum albumin (g/L) + 0.005 × lymphocyte count (per mm3). The optimal PNI cutoff value for overall survival (OS) was identified using the online tool “Cutoff Finder”. Clinical characteristics and PNI were compared with chi-square or Fisher’s exact tests, as appropriate. The impact of PNI on OS was analyzed using the Kaplan–Meier method and Cox proportional hazards model. The median (range) PNI was 46.2 (29.2–67.7). The 45.45 cutoff value discriminated patients into the high-PNI and low-PNI groups. A low preoperative PNI was associated with an advanced FIGO stage, increased CA125 level, more extensive ascites, residual disease and platinum resistance. For univariate analyses, a high PNI was associated with increased OS (p < 0.001). In multivariate analyses, the PNI remained an independent predictor of OS as a continuous variable (p = 0.021) but not as dichotomized groups (p = 0.346). Our study demonstrated that the PNI could be a predictive and prognostic parameter for HGSC.
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