The predictive value of hematological inflammatory markers for severe oral mucositis in patients with nasopharyngeal carcinoma during intensity-modulated radiation therapy: A retrospective cohort study

被引:1
|
作者
Huang, Xiaoxian [1 ]
Qin, Xinling [2 ,3 ]
Huang, Weimei [2 ,3 ]
Huang, Ben [1 ]
机构
[1] Guangxi Orthopaed Hosp, Clin Lab, 32 Xinmin Rd, Nanning 530016, Guangxi, Peoples R China
[2] Guangxi Med Univ, Affiliated Hosp 1, Dept Radiat Oncol, 6 Shuangyong Rd, Nanning 530021, Guangxi, Peoples R China
[3] Guangxi Med Univ, Minist Educ, Key Lab Early Prevent & Treatment Reg High Frequen, Nanning 530021, Guangxi, Peoples R China
关键词
Radiation-induced oral mucositis (RIOM); Severe oral mucositis (SOM); Neutrophil-to-lymphocyte ratio (NLR); Platelet-to-lymphocyte (PLR); Systemic inflammation index (SII); Lymphocyte (LYM); Eosinophil (EOS); Basophil (BAS); LYMPHOCYTE RATIO; CHEMOTHERAPY; NEUTROPHIL; CELLS;
D O I
10.1016/j.currproblcancer.2024.101117
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: This study aims to investigate the predictive value of the circulating blood cell count, including neutro-philto-lymphocyte ratio (NLR), platelet-to-lymphocyte (PLR), and thesystemic inflammation index (SII) for the development of severe oral mucositis (SOM) induced by radiation in patients undergoing radiotherapy for nasopharyngeal carcinoma (NPC). Methods: In this retrospective study, 142 NPC patients were screened, and based on mucositis toxicity grade, they were categorized into two groups: SOM and nonSOM. Peripheral blood cell counts were conducted prior to Intensity-Modulated Radiation Therapy (IMRT). Associations between blood cell count, NLR, PLR, SII, and SOM occurrence were examined. Results: Revealed elevated NLR and SII levels, along with reduced lymphocyte (LYM), eosinophil (EOS), and basophil (BAS) in patients with SOM. LYM, EOS, BAS, NLR, and SII were effective predictors of the severity of radiation-induced oral mucositis (RIOM) in NPC patients. Conclusions: The occurrence of SOM was strongly linked to the hematological status at the start of Radiation Therapy (RT). Integrating BAS count and NLR into comprehensive risk prediction models could prove valuable for predicting SOM in NPC patients.
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页数:8
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