Value of the prognostic nutritional index in predicting the prognosis of triple-negative breast cancer patients
Objective To explore the value of the prognostic nutritional index(PNI)in predicting the prognosis of triple-negative breast cancer patients.Methods The clinical data of 93 triple-negative breast cancer patients were retrospectively analyzed.The receiver operating characteristic(ROC)curve was used to analyze the value of PNI in predicting the prognosis of triple-negative breast cancer patients,the binomial logistic regression model was used to investigate influencing factors for the prognosis of triple-negative breast cancer patients,and a nomogram model for predicting the prognosis of triple-negative breast cancer patients was constructed.Results The ROC curve analysis showed that the area under the ROC curve of PNI was 0.717 when predicting the prognosis of triple-negative breast cancer patients,and the optimal cut-off point was 46.5,corresponding to which the sensitivity and specificity were 74.3％and 69.0％,respectively(P＜0.05).The results of binomial logistic regression analysis showed that tumor length,differentiation degree,brain metastasis,and PNI were independent influencing factors for the prognosis of triple-negative breast cancer patients,among which long tumors and the presence of brain metastasis were independent risk factors and medium and high differentiation degrees and a high PNI were independent protective factors(all P＜0.05).The calibration curve showed that the predicted values of the nomogram prediction model for the prognosis of triple-negative breast cancer patients,which was constructed based on the above factors,were highly consistent with the actual values.Conclusion PNI may be used as a predictor of prognosis in triple-negative breast cancer patients.Long tumors and the presence of brain metastasis are independent risk factors,while the medium and high differentiation degree and a high PNI are independent protective factors for the prognosis of triple-negative breast cancer patients,the nomogram prediction model,which was constructed based on the above factors,has high clinical application value.
Nutrition assessmentTriple-negative breast cancerPrognosisNomogram
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