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    张涅, 王婷婷, 刘婉明, 章龙珍. 基于炎症营养相关指标建立I~II期子宫内膜癌患者术后的列线图预测模型及验证[J]. 徐州医科大学学报, 2022, 42(10): 710-705. DOI: 10.3969/j.issn.2096-3882.2022.10.002
    引用本文: 张涅, 王婷婷, 刘婉明, 章龙珍. 基于炎症营养相关指标建立I~II期子宫内膜癌患者术后的列线图预测模型及验证[J]. 徐州医科大学学报, 2022, 42(10): 710-705. DOI: 10.3969/j.issn.2096-3882.2022.10.002
    shu
    Development and Validation of a Nomogram ba＜x＞sed on Multiple Preoperative Immunoinflammatory Indexes for Survival Prediction in Patients with Stage I~II Endometrial Cancer[J]. Journal of Xuzhou Medical University, 2022, 42(10): 710-705. DOI: 10.3969/j.issn.2096-3882.2022.10.002
    Citation: Development and Validation of a Nomogram ba＜x＞sed on Multiple Preoperative Immunoinflammatory Indexes for Survival Prediction in Patients with Stage I~II Endometrial Cancer[J]. Journal of Xuzhou Medical University, 2022, 42(10): 710-705. DOI: 10.3969/j.issn.2096-3882.2022.10.002
    shu

    基于炎症营养相关指标建立I~II期子宫内膜癌患者术后的列线图预测模型及验证

    Development and Validation of a Nomogram ba＜x＞sed on Multiple Preoperative Immunoinflammatory Indexes for Survival Prediction in Patients with Stage I~II Endometrial Cancer

      摘要
    • 摘要: 目的：探讨术前血小板与淋巴细胞比值（platelet to lymphocyte ratio，PLR）、中性粒细胞与淋巴细胞比值（neutrophil-to-lymphocyte ratio, NLR）、晚期肺癌炎症指数（advanced lung cancer inflammation index, ALI）、预后营养指数（prognostic nutritional index, PNI）和全身免疫炎症指数（systemic immune-inflammation index, SII）在I~II期子宫内膜癌患者预后中的价值。方法：回顾性分析2013年1月至2017年1月在我院首次术后确诊的I~II期子宫内膜癌患者的临床和随访资料。通过受试者工作特征（receiver operating characteristic, ROC）曲线确定PLR、NLR、ALI、PNI和SII的最佳临界值。采用χ2检验分析术前PLR、NLR、ALI、PNI和SII与临床特征的关系。通过Kaplan-Meier法和COX回归模型对I~II期子宫内膜癌患者预后影响因素进行单因素和多因素分析，建立基于术前PLR、NLR、ALI、PNI和SII以及其他临床病理因素的列线图模型。结果：通过ROC曲线确定术前PLR、NLR、ALI、PNI和SII预测生存的最佳临界点分别为131.8、3.23、38.46、51.55和763.1。Cox多因素分析显示淋巴结浸润、子宫肌层浸润深度、Ki-67表达水平、PNI和ALI是I~II期子宫内膜癌患者术后5年总生存期的独立危险因素(P<0.05)。列线图预测I~II期子宫内膜癌患者预后的C指数为0.846。结论：低水平的ALI和PNI是影响I~II期子宫内膜癌患者5年总生存期的独立危险因素，基于ALI和PNI建立的列线图可有效预测I~II期子宫内膜癌患者预后。

       

      Abstract: ob＜x＞jective: To investigate the relationship between preoperative platelet to lymphocyte ratio (PLR), neutrophil to lymphocyte ratio (NLR), advanced lung cancer inflammation index (ALI), prognostic nutritional index (PNI) and systemic immune-inflammation index (SII) and prognosis in patients with endometrial cancer (EC). Methods: We retrospectively collected the clinical and follow-up data of endometrial cancer Patients with stage I~II who underwent radical surgical resection in our hospital from January 2013 to January 2017. The optimal cut-off points for PLR, NLR , ALI , PNI and SII to predict the prognosis of endometrial cancer were determined by the receiver operating characteristic (ROC) curve. The relationship between preoperative PLR, NLR , ALI , PNI and SII and clinical characteristics was performed by χ2 test. Kaplan-Meier survival analysis and Cox regression analysis were conducted to analyze the prognostic factors of endometrial cancer. Results: The results showed that the optimal cut-off points for predicting survival of PLR, NLR, ALI, PNI and SII were 131.8, 3.23 , 38.46 , 51.55 and 763.1, respectively. Cox regression multivariate analysis suggested lymph node infiltration, depth of myometrial infiltration, high level of Ki-67 ex＜x＞pression level, low level of PNI and low level of ALI were independent risk factors for the 5-year overall survival survival (OS). The C-index of nomogram model for predicting the prognosis of patients with stage I-II endometrial cancer is 0.846. Conclusion: A low level of ALI and PNI was an independent factor for 5-year OS of patients with endometrial cancer. The nomogram model ba＜x＞sed on ALI and PNI may effectively predict the prognosis of patients with stage I-II endometrial cancer.

       

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