Suppr超能文献

接受放疗的头颈癌患者预后营养指数轨迹类别与放疗引起的严重口腔黏膜炎之间的相关性分析

Correlation Analysis Between Prognostic Nutritional Index Trajectory Categories and Radiotherapy-induced Severe Oral Mucositis in Head and Neck Cancer Patients Undergoing Radiotherapy.

作者信息

Liu Meizi, Gao Fei, An Ran, Wu Zitong, Chen Wenfeng

出版信息

Oral Health Prev Dent. 2024 Dec 12;22:671-680. doi: 10.3290/j.ohpd.b5877400.

Abstract

PURPOSE

To establish the potential prognostic nutritional index (PNI) trajectory categories and examine the association between these PNI trajectory categories and severe radiotherapy-induced oral mucositis (RIOM).

MATERIALS AND METHODS

This was a longitudinal retrospective observational study on 470 head and neck cancer inpatients who were to undergo radiotherapy from a grade-A tertiary hospital in Hunan Province between July 2022 and October 2023. The latent class growth model and growth mixed model were used to identify PNI trajectory categories. Logistic regression analysis was used to examine the correlation between PNI trajectory categories and severe RIOM.

RESULTS

Three PNI trajectory categories were identified: 'PNI high-level group' (20.9%), 'PNI medium-level group' (61.3%) and 'PNI low-level group' (17.9%). The risk of severe RIOM was statistically significantly higher in the 'PNI medium-level group' and 'PNI low-level group' with OR 2.174 (95%CI 0.980-4.822) and OR 3.45 (95%CI 1.212-9.815), respectively. PNI trajectory categories and cancer type were independent risk factors for severe RIOM.

CONCLUSION

PNI can be used as a biomarker to predict severe RIOM. Patients with head and neck cancer who have a lower PNI are at higher risk of severe RIOM.

摘要

目的

建立潜在预后营养指数(PNI)轨迹类别,并研究这些PNI轨迹类别与严重放疗诱导的口腔黏膜炎(RIOM)之间的关联。

材料与方法

这是一项对2022年7月至2023年10月期间在湖南省一家三级甲等医院接受放疗的470例头颈癌住院患者进行的纵向回顾性观察研究。采用潜在类别增长模型和增长混合模型来确定PNI轨迹类别。使用逻辑回归分析来检验PNI轨迹类别与严重RIOM之间的相关性。

结果

确定了三种PNI轨迹类别:“PNI高水平组”(20.9%)、“PNI中等水平组”(61.3%)和“PNI低水平组”(17.9%)。“PNI中等水平组”和“PNI低水平组”发生严重RIOM的风险在统计学上显著更高,比值比分别为2.174(95%置信区间0.980 - 4.822)和3.45(95%置信区间1.212 - 9.815)。PNI轨迹类别和癌症类型是严重RIOM的独立危险因素。

结论

PNI可作为预测严重RIOM的生物标志物。PNI较低的头颈癌患者发生严重RIOM的风险较高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/138f/12091236/5913713383c2/ohpd-22-671-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验