Predictive value of preoperative pan-immune-inflammation value index in the prognosis of oral cancer patients undergoing radical resection.

IF 3.1 2区医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE BMC Oral Health Pub Date : 2025-01-24 DOI:10.1186/s12903-025-05477-6

Weihai Huang, Yulan Lin, Enling Xu, Yanmei Ji, Jing Wang, Fengqiong Liu, Fa Chen, Yu Qiu, Bin Shi, Lisong Lin, Baochang He

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Abstract

Background: To evaluate the prognostic role of the preoperative pan-immune-inflammation value (PIV) index in patients with oral squamous cell carcinoma (OSCC) after undergoing radical resection and to develop a prognostic prediction model for these patients.

Methods: A large cohort study was conducted between January 2015 and March 2022. Univariate and multivariate Cox regression was used to assess the prognostic value of PIV, and propensity score matching (PSM) analysis was used to adjust for potential confounders. Randomized survival forest (RSF) was used to assess the relative importance of preoperative PIV in prognostic prediction. Finally, a Nomogram model was plotted to predict the prognosis of oral cancer patients.

Results: A total of 779 patients were enrolled and followed up (mean follow-up time 34.14 ± 24.39). High PIV was significantly associated with worse survival in OSCC patients (hazard ratio [HR] = 1.62, 95% confidence interval [CI]: 1.15-2.29, P = 0.006). The same trend was observed in PSM (HR = 1.55,95% CI: 1.03-2.23, P = 0.035). RSF showed that PIV ranked third in the importance ranking of all prognostic factors. The calibration curves indicated that the Nomogram model was superior in predicting the prognostic 1-, 3-, and 5-year survival of oral cancer patients.

Conclusions: PIV is an independent predictor of prognosis in patients with oral squamous cell carcinoma, and a column-line graphical model based on PIV can effectively predict prognosis.

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术前泛免疫-炎症价值指数对口腔癌根治术患者预后的预测价值。

背景：评价术前泛免疫炎症指数（PIV）在口腔鳞癌（OSCC）根治术后的预后作用，并建立该患者的预后预测模型。方法：2015年1月至2022年3月进行了一项大型队列研究。采用单因素和多因素Cox回归评估PIV的预后价值，并采用倾向评分匹配（PSM）分析调整潜在混杂因素。随机生存森林（RSF）用于评估术前PIV在预后预测中的相对重要性。最后，绘制Nomogram预测口腔癌患者预后的模型。结果：共纳入779例患者，随访时间平均为34.14±24.39。高PIV与OSCC患者较差的生存率显著相关（风险比[HR] = 1.62, 95%可信区间[CI]: 1.15-2.29, P = 0.006）。PSM患者也有同样的趋势（HR = 1.55,95% CI: 1.03-2.23, P = 0.035）。RSF显示PIV在所有预后因素的重要性排名中排名第三。校正曲线显示Nomogram模型在预测口腔癌患者1、3、5年生存率方面具有优势。结论：PIV是口腔鳞状细胞癌患者预后的独立预测因子，基于PIV的柱线图模型能有效预测预后。

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来源期刊

BMC Oral Health DENTISTRY, ORAL SURGERY & MEDICINE-

CiteScore

3.90

自引率

6.90%

发文量

481

审稿时长

6-12 weeks

期刊介绍： BMC Oral Health is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of disorders of the mouth, teeth and gums, as well as related molecular genetics, pathophysiology, and epidemiology.