ZHU Wei-wei, FAN Wen-hua, FANG Ke, HUANG He. Study on the correlations of the PNI and BMI with prognosis in patients with colorectal cancer[J]. Journal of Bengbu Medical University, 2019, 44(4): 442-445. DOI: 10.13898/j.cnki.issn.1000-2200.2019.04.006
    Citation: ZHU Wei-wei, FAN Wen-hua, FANG Ke, HUANG He. Study on the correlations of the PNI and BMI with prognosis in patients with colorectal cancer[J]. Journal of Bengbu Medical University, 2019, 44(4): 442-445. DOI: 10.13898/j.cnki.issn.1000-2200.2019.04.006

    Study on the correlations of the PNI and BMI with prognosis in patients with colorectal cancer

    • ObjectiveTo explore the correlations of the prognostic nutritional index(PNI) and body mass index(BMI) with prognosis in patients with colorectal cancer.
      MethodsThe clinicopathological data of 116 colorectal cancer patients treated with radical colectomy were retrospectively analyzed.The receiver operating characteristic curve was used to determine the cut-off value of PNI, the survival curve was plotted using the Kaplan-Meier method, and the cox regression model was used to analyze the independent factor affecting postoperative.
      ResultsThe cut-off value of PNI was 47.5.The 5-year survival rate in high P survival NI group(36.2%) was higher than that in low PNI group(18.8%)(P < 0.05).The results of univariate analysis showed that the tumor differentiation, invasion depth, lymph node metastasis, distant metastasis, clinical staging, PNI and BMI were correlation with prognosis of patients(P < 0.05 to P < 0.01).The results of Cox multi-factor analysis showed that the tumor differentiation, distant metastasis, clinical staging, PNI and BMI were the independent factor affecting prognosis of patients(P < 0.05).The value of PNI combined with BMI in predicting the prognosis of patients was higher than that of PNI or BMI(P < 0.05).
      ConclusionsPNI and BMI are the independent factors affecting prognosis of patients with colorectal cancer, and the combination of PNI with BMI can improve the accuracy in evaluating prognosis of patients.
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