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预后营养指数预测小细胞肺癌预后的临床应用研究

The Clinical Value of PNI in Assessing the Prognosis of Small Cell Lung Cancer

    摘要
  • 摘要:
      目的  探讨预后营养指数（prognostic nutritional index，PNI）预测小细胞肺癌（small cell lung cancer, SCLC）患者预后的价值。
      方法  回顾性收集2017年1月−2018年1月经病理初次确诊，符合本研究纳入、排除标准的SCLC患者临床资料，计算PNI值，根据中位数分为高PNI、低PNI，分析其对SCLC总生存（overall survival, OS）的影响，并分析影响SCLC预后的因素。
      结果  共纳入105例患者，根据PNI中位数（48.68）分为高PNI和低PNI两组，其中位生存时间分别为25.1个月和14.2个月，1年生存率分别为82.5%和65.3%，2年生存率分别为49.7%和28.4%，差异有统计学意义（P<0.05）。单因素分析示：性别、ECOG PS评分、临床分期和PNI均与患者的中位OS时间相关（P<0.05）。多因素分析示：PNI〔优势比（odds ratio, OR）=0.331，95%置信区间0.189～0.580〕和性别（OR=1.897，95%置信区间1.051～3.423）为影响SCLC患者预后的独立因素。
      结论  低PNI患者的预后一般较差，PNI计算简便、临床易获取，值得临床推广。

     

    Abstract:
      Objective  To evaluate the clinical value of prognostic nutritional index (PNI) in assessing the prognosis of small cell lung cancer (SCLC) patients.
      Methods  The clinical data of SCLC patients who were initial diagnosed by pathology and conformed to the conditions of this study from January 2017 to January 2018 were retrospectively collected. The PNI values were calculated and divided into high PNI and low PNI groups according to the median value. The potential prognostic factors for SCLC patients were analyzed.
      Results  One hundred and five patients were divided into high-PNI and low-PNI groups according to the PNI median (48.68). The median survival time was 25.1 months and 14.2 months respectively. The one-year survival rates were 82.5% and 65.3% respectively and the two-year survival rates were 49.7% and 28.4% respectively, the differences were all statistically significant (P<0.05). Univariate analysis showed that gender, ECOG PS score, clinical stage and PNI were correlated with overall survival (OS) (P<0.05). Multivariate analysis showed that PNI (odds ratio (OR)=0.331, 95% confidence interval: 0.189-0.580) and gender (OR=1.897, 95% confidence interval: 1.051-3.423) were independent prognostic factors for SCLC patients.
      Conclusion  Low PNI patients generally symbolize poor prognosis, PNI calculation is simple and easy to obtain, worthy of clinical promotion.

     

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