口腔医学研究 ›› 2025, Vol. 41 ›› Issue (8): 707-714.DOI: 10.13701/j.cnki.kqyxyj.2025.08.012

• 口腔黏膜病学研究 • 上一篇    下一篇

215例接受术后辅助化疗的口腔癌患者口腔黏膜炎发生风险及危险因素分析

王恪钢1, 张文静2*   

  1. 1.新乡市中心医院口腔科 河南 新乡 453000;
    2.平顶山市第一人民医院口腔科 河南 平顶山 467000
  • 收稿日期:2025-02-17 出版日期:2025-08-28 发布日期:2025-08-15
  • 通讯作者: *张文静,E-mail:178345733@qq.com
  • 作者简介:王恪钢(1986~ ),男,河南新乡人,本科,主治医师,研究方向:口腔方面的临床研究。
  • 基金资助:
    河南省医学科技攻关计划项目(编号:LHGI20240794)

Analysis on Incidence Risk and Risk Factors of Oral Mucositis in 215 Oral Cancer Patients Receiving Postoperative Adjuvant Chemotherapy

WANG Kegang1, ZHANG Wenjing2*   

  1. 1. Department of Stomatology, Xinxiang Central Hospital, Xinxiang 453000, China;
    2. Department of Stomatology, Pingdingshan First People's Hospital, Pingdingshan 467000, China
  • Received:2025-02-17 Online:2025-08-28 Published:2025-08-15

摘要: 目的: 分析215例接受术后辅助化疗的口腔癌患者口腔黏膜炎(oral mucositis,OM)的发生风险及危险因素。方法: 本研究为回顾性分析,选取2020年1月~2023年1月于新乡市中心医院口腔科就诊的215例接受术后辅助化疗的口腔癌患者为研究对象,根据化疗结束后是否合并OM分为发生OM组和未发生OM组。收集并对比两组患者临床资料,筛选与患者OM发生相关的影响因素并绘制列线图预测模型。绘制校准曲线、受试者工作特征曲线(receiver operating characteristic curve,ROC)评价列线图模型预测术后辅助化疗的口腔癌患者OM的准确性和效能。结果: 入组患者中男131例,女84例,年龄52~77岁,平均(64.57±7.04)岁,发生OM患者89例,发生率为41.4%。单因素分析及Logistic回归分析筛选出饮酒史(OR=12.302,95%CI:1.836~82.441)、肿瘤长径(OR=2.092,95%CI:1.221~3.584)、手术时间(OR=1.018,95%CI:1.005~1.031)、术中出血量(OR=1.012,95%CI:1.002~1.022)、含氟尿嘧啶方案(OR=6.450,95%CI:1.266~32.858)、化疗6个周期(OR=1.056,95%CI:1.002~1.112)、化疗前血清白细胞介素6(interleukin-6,IL-6)(OR=1.143,95%CI:1.074~1.217)为术后辅助化疗的口腔癌患者发生OM的独立危险因素,化疗前血清白蛋白(albumin,ALB)(OR=0.922,95%CI:0.865~0.983)、前白蛋白(pre-albumin,PA)(OR=0.985,95%CI:0.973~0.997)为术后辅助化疗的口腔癌患者发生OM的独立保护因素。校准曲线表明列线图模型拟合度较高(χ2=4.999,P=0.758);ROC曲线分析表明该模型预测术后辅助化疗的口腔癌患者发生OM的曲线下面积(area under the curve,AUC)为0.832(95%CI:0.777~0.887),显著高于各因素独立预测效能。结论: 饮酒史、肿瘤长径、手术时间、术中出血量、化疗方案及时间、化疗前血清ALB、PA、IL-6均为术后辅助化疗的口腔癌患者发生OM的影响因素。

关键词: 口腔癌, 化疗, 口腔黏膜炎, 危险因素

Abstract: Objective: To analyze the risk and risk factors of oral mucositis (OM) in 215 oral cancer patients who received postoperative adjuvant chemotherapy. Methods: A total of 215 oral cancer patients who received postoperative adjuvant chemotherapy and treated in the Department of Stomatology of our hospital from January 2020 to January 2023 were selected as the research subjects. According to whether OM occurred after the end of chemotherapy, they were divided into the OM occurrence group and the non-OM occurrence group. The clinical data of the two groups of patients were collected and compared. The influencing factors related to the occurrence of OM in patients were screened, and a nomogram prediction model was drawn. The calibration curve and the receiver operating characteristic curve (ROC) were plotted to evaluate the accuracy and effectiveness of the nomogram model in predicting OM in oral cancer patients receiving postoperative adjuvant chemotherapy. Results: Among the enrolled patients, there were 131 males and 84 females, with an age range of 52 to 77 years, and an average age of (64.57±7.04) years. OM occurred in 89 patients, with an incidence rate of 41.4%. Univariate analysis and logistic regression analysis screened out a history of alcohol consumption (OR=12.302, 95%CI: 1.836-82.441), the long diameter of the tumor (OR=2.092, 95%CI: 1.221-3.584), the operation time (OR=1.018, 95%CI: 1.005-1.031), the intraoperative blood loss (OR=1.012, 95%CI: 1.002-1.022), the fluorouracil-containing regimen (OR=6.450, 95%CI: 1.266-32.858), 6 cycles of chemotherapy (OR=1.056, 95%CI: 1.002-1.112), and serum interleukin-6 (IL-6) before chemotherapy (OR=1.143, 95%CI: 1.074-1.217) as independent risk factors for the occurrence of OM in oral cancer patients receiving postoperative adjuvant chemotherapy. Serum albumin (ALB) (OR=0.922, 95%CI: 0.865-0.983) and pre-albumin (PA) (OR=0.985, 95%CI: 0.973-0.997) before chemotherapy were independent protective factors for the occurrence of OM in oral cancer patients receiving postoperative adjuvant chemotherapy. The calibration curve showed that the nomogram model had a high goodness of fit (χ2=4.999, P=0.758). The ROC analysis demonstrated an area under the curve (AUC) of this model in predicting the occurrence of OM in oral cancer patients receiving postoperative adjuvant chemotherapy was 0.832 (95%CI:0.777-0.887), which was significantly higher than the independent prediction effectiveness of each factor. Conclusion: A history of alcohol consumption, tumor long diameter, operation time, intraoperative blood loss, chemotherapy regimen and duration, as well as serum ALB, PA, and IL-6 before chemotherapy are influencing factors for the occurrence of OM in oral cancer patients receiving postoperative adjuvant chemotherapy.

Key words: oral cancer, chemotherapy, oral mucositis, risk factors