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Predictive value of prognostic nutritional index in patients with oral squamous cell carcinoma

Xiang Wu, Yue Jiang, Han Ge, Pengfei Diao, Dongmiao Wang, Yanling Wang, Jie Cheng

2020Oral Diseases31 citationsDOI

Abstract

OBJECTIVES: To determine the prognostic significance of preoperative prognostic nutritional index (PNI) in patients with primary oral squamous cell carcinoma (OSCC) after ablative surgery. MATERIALS AND METHODS: ), and its optimal cutoff value for patient stratification was identified by X-tile software. Cox's proportional regression analyses and receiver operating characteristic (ROC) curves were employed to identify prognostic factors and their predictive performance. RESULTS: The optimal cutoff value of PNI was 47.4. Patients with low PNI had significantly shorter overall (OS) and disease-free survival than those with high PNI. Moreover, multivariate regression analyses indicated that PNI was an independent prognostic factor for OS in the training (hazard ratio [HR], 2.267; 95% confidence interval [CI]:1.335-3.849; p = .002) and validation (HR, 2.247; 95% CI: 1.352-3.735; p = .002) cohorts. ROC analyses revealed similar or superior predictive performance of PNI as compared to other prognostic parameters. CONCLUSIONS: Our findings reveal that decreased preoperative PNI significantly associates with worse prognosis for patients with OSCC, which serves as a novel prognostic biomarker for OSCC.

Topics & Concepts

MedicineInternal medicineReceiver operating characteristicHazard ratioProportional hazards modelConfidence intervalOncologyCutoffBiomarkerMultivariate analysisBasal cellGastroenterologyQuantum mechanicsBiochemistryChemistryPhysicsInflammatory Biomarkers in Disease PrognosisHead and Neck Cancer StudiesNutrition and Health in Aging