Global Immune-Nutrition-Inflammation Index as a novel comprehensive biomarker in predicting the radiation-induced trismus rates in locally advanced nasopharyngeal carcinoma patients

被引:2
|
作者
Somay, Efsun [1 ]
Topkan, Erkan [2 ]
Bascil, Sibel [3 ]
Durankus, Niluefer Kilic [4 ]
Senyurek, Sukran [4 ]
Ozturk, Duriye [5 ]
Pehlivan, Berrin [6 ]
Selek, Ugur [4 ]
机构
[1] Baskent Univ, Dept Oral & Maxillofacial Surg, Fac Dent, Ankara, Turkiye
[2] Baskent Univ, Dept Radiat Oncol, Fac Med, Adana, Turkiye
[3] Baskent Univ, Dept Periodontol, Fac Dent, Ankara, Turkiye
[4] Koc Univ, Sch Med, Dept Radiat Oncol, Istanbul, Turkiye
[5] Afyonkarahisar Hlth Sci Univ, Dept Radiat Oncol, Fac Med, Afyonkarahisar, Turkiye
[6] Bahcesehir Univ, Dept Radiat Oncol, Istanbul, Turkiye
来源
BIOMOLECULES AND BIOMEDICINE | 2024年 / 24卷 / 06期
关键词
Radiation-induced trismus (RIT); Global Immune-Nutrition-Inflammation Index (GINI); concurrent chemoradiotherapy (CCRT); nasopharyngeal carcinoma; NECK-CANCER PATIENTS; C-REACTIVE PROTEIN; HEAD;
D O I
10.17305/bb.2024.10616
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Nasopharyngeal carcinoma (NPC) is a prevalent cancer in certain regions, often treated with concurrent chemoradiotherapy (CCRT), which can lead to complications such as radiation-induced trismus (RIT). In this study, we aimed to evaluate whether the novel pretreatment Global Immune-Nutrition-Inflammation Index (GINI) can predict RIT in locally advanced nasopharyngeal carcinoma (LA-NPC) patients undergoing 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) divided by (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 1424 (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 (HR): 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.
引用
收藏
页码:1703 / 1710
页数:8
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