Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Baskent University, Ankara, Turkey.
Department of Radiation Oncology, Faculty of Medicine, Baskent University, Adana, Turkey.
Biomol Biomed. 2024 Oct 17;24(6):1703-1710. doi: 10.17305/bb.2024.10616.
In this study, we aimed to evaluate whether the novel pretreatment Global Immune-Nutrition-Inflammation Index (GINI) can predict radiation-induced trismus (RIT) in locally advanced nasopharyngeal carcinoma (LA-NPC) patients undergoing concurrent chemoradiotherapy (CCRT). Data of LA-NPC patients presenting without RIT were reviewed retrospectively. Any post-CCRT maximum mouth openings (MMO) ≤ 35 mm were considered RIT. The GINI index was calculated using the formula: GINI = (CRP x Monocytes x Platelets x Neutrophils) ÷ (Albumin x Lymphocytes). We used receiver operating characteristic (ROC) curve analysis to examine the potential correlation between pretreatment GINI measures and post-CCRT RIT status. Logistic regression analysis examined the independence of the association between confounding factors and RIT rates. The study comprised 230 participants, and 52 (22.6%) received an RIT diagnosis. The optimal pre-CCRT GINI cutoff that dichotomizes RIT rates was determined to be 1,424 (area under the curve [AUC]: 76%; sensitivity: 75.0%; specificity: 71.7%; J-index: 0.463). RIT incidence was significantly higher in the GINI ≥ 1424 group than in its GINI < 1424 counterpart (43.3% vs. 9.3%; hazard ratio: 4.76; P < 0.001). Multivariate logistic regression analysis revealed that a pre-CCRT GINI ≥ 1424 was an independent predictor of increased RIT rates after definitive CCRT in this patient group (P < 0.001). In conclusion, the present results revealed that elevated pre-CCRT GINI measures (≥ 1424) can efficiently and independently predict elevated RIT rates in LA-NPC patients after CCRT.
在这项研究中,我们旨在评估新型预处理全局免疫-营养-炎症指数(GINI)是否可以预测接受同期放化疗(CCRT)的局部晚期鼻咽癌(LA-NPC)患者的放射性张口受限(RIT)。回顾性分析无 RIT 的 LA-NPC 患者的数据。任何 CCRT 后最大张口度(MMO)≤35mm 均被认为是 RIT。GINI 指数通过公式计算:GINI=(CRP×单核细胞×血小板×中性粒细胞)÷(白蛋白×淋巴细胞)。我们使用受试者工作特征(ROC)曲线分析来检查预处理 GINI 测量值与 CCRT 后 RIT 状态之间的潜在相关性。Logistic 回归分析检查了混杂因素与 RIT 发生率之间关联的独立性。该研究共纳入 230 名参与者,其中 52 名(22.6%)诊断为 RIT。确定可将 RIT 发生率分为二项的最佳 CCRT 前 GINI 截断值为 1424(曲线下面积 [AUC]:76%;敏感性:75.0%;特异性:71.7%;J 指数:0.463)。GINI≥1424 组的 RIT 发生率明显高于 GINI<1424 组(43.3%比 9.3%;危险比:4.76;P<0.001)。多变量 logistic 回归分析显示,CCRT 前 GINI≥1424 是该患者组接受根治性 CCRT 后 RIT 发生率增加的独立预测因素(P<0.001)。总之,本研究结果表明,CCRT 前 GINI 升高(≥1424)可有效且独立地预测 CCRT 后 LA-NPC 患者的 RIT 发生率升高。