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

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-06-29 DOI:10.1016/j.currproblcancer.2024.101117
Xiaoxian Huang , Xinling Qin , Weimei Huang , Ben Huang
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Abstract

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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血液学炎症标志物对强度调节放射治疗期间鼻咽癌患者严重口腔黏膜炎的预测价值:一项回顾性队列研究。
研究背景本研究旨在探讨循环血细胞计数(包括中性粒细胞-淋巴细胞比值(NLR)、血小板-淋巴细胞比值(PLR)和系统炎症指数(SII))对鼻咽癌(NPC)放疗患者因放疗诱发严重口腔黏膜炎(SOM)的预测价值:在这项回顾性研究中,共筛选出 142 名鼻咽癌患者,并根据粘膜炎毒性等级将其分为两组:SOM组和非SOM组。在进行强度调制放射治疗(IMRT)前进行外周血细胞计数。研究了血细胞计数、NLR、PLR、SII 和 SOM 发生率之间的关联:结果显示:SOM 患者的 NLR 和 SII 水平升高,淋巴细胞(LYM)、嗜酸性粒细胞(EOS)和嗜碱性粒细胞(BAS)减少。LYM、EOS、BAS、NLR和SII是预测鼻咽癌患者放射诱发口腔黏膜炎(RIOM)严重程度的有效指标:结论:SOM的发生与放疗开始时的血液状况密切相关。将BAS计数和NLR纳入综合风险预测模型可证明对预测鼻咽癌患者的SOM很有价值。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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