Preoperative prognostic nutritional index predicts prognosis of patients with oral cavity cancer.
Autor: | Fang, Ku‐Hao, Chang, Sheng‐Wei, Lee, Yi‐Chan, Huang, Ethan I., Lai, Chia‐Hsuan, Chang, Geng‐He, Tsai, Ming‐Shao, Hsu, Cheng‐Ming, Tsai, Yao‐Te |
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Předmět: |
BIOMARKERS
MOUTH tumors NUTRITIONAL assessment PREOPERATIVE period MULTIVARIATE analysis RETROSPECTIVE studies ACQUISITION of data CANCER patients TREATMENT effectiveness MEDICAL records KAPLAN-Meier estimator RECEIVER operating characteristic curves PROGRESSION-free survival SQUAMOUS cell carcinoma PROPORTIONAL hazards models |
Zdroj: | Oral Diseases; Oct2022, Vol. 28 Issue 7, p1816-1830, 15p, 4 Charts, 4 Graphs |
Abstrakt: | Objective: To investigate whether prognostic nutritional index (PNI) predicts patient survival outcomes in oral cavity squamous cell carcinoma (OSCC). Materials and methods: The data of a total of 360 patients subjected to primary surgery for OSCC were retrospectively analysed. Patients were categorised into high‐PNI (≥51.75) and low‐PNI (<51.75) groups based on the PNI cut‐off value attained from receiver operating characteristic analyses (p <.001), and the intergroup differences in clinicopathological features were determined. The Kaplan–Meier method and Cox proportional hazard model were employed to determine the survival prediction ability of the PNI, and a nomogram based on the PNI was established for individualised survival prediction. Results: A low PNI was noted to exhibit a significant association with shorter overall survival (OS) and disease‐free survival (DFS) (both p <.001). Multivariate Cox analyses showed that a lower PNI independently indicated shorter OS and DFS (hazard ratio [HR] = 2.187; p =.001 and HR = 1.459; p =.023, respectively). The concordance index and calibration plots of the PNI‐based nomogram revealed the high discriminative ability for OS. Conclusions: Preoperative PNI is a valuable biomarker for predicting OSCC prognosis, and the proposed PNI‐based nomogram can provide individualised prognostic prediction. [ABSTRACT FROM AUTHOR] |
Databáze: | Complementary Index |
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