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

被引:0
|
作者
Huang, Weihai [1 ]
Lin, Yulan [1 ,2 ]
Xu, Enling [1 ]
Ji, Yanmei [1 ]
Wang, Jing [4 ]
Liu, Fengqiong [1 ]
Chen, Fa [1 ]
Qiu, Yu [3 ]
Shi, Bin [3 ]
Lin, Lisong [3 ]
He, Baochang [1 ,3 ,5 ]
机构
[1] Fujian Med Univ, Sch Publ Hlth, Dept Epidemiol & Hlth Stat, Fujian Prov Key Lab Environm Factors & Canc, Fujian, Peoples R China
[2] Fujian Med Univ, Key Lab Minist Educ Gastrointestinal Canc, Fuzhou, Fujian, Peoples R China
[3] Fujian Med Univ, Stomatol Ctr, Dept Oral & Maxillofacial Surg, Affiliated Hosp 1, Fuzhou, Peoples R China
[4] Fujian Med Univ, Major Subject Environm & Hlth Fujian Key Univ, Lab Ctr, Sch Publ Hlth, Fuzhou, Peoples R China
[5] Fujian Med Univ, Sch Publ Hlth, Dept Epidemiol & Hlth Stat, 1 Xueyuan Rd, Fuzhou 350108, Peoples R China
来源
BMC ORAL HEALTH | 2025年 / 25卷 / 01期
关键词
PIV; Oral squamous cell carcinoma; Prognosis; Nomogram;
D O I
10.1186/s12903-025-05477-6
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
BackgroundTo 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.MethodsA 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.ResultsA 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.ConclusionsPIV 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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页数:10
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