Anghel Rodica, Bîlteanu Liviu, Folea Antonia-Ruxandra, Marinescu Șerban-Andrei, Pisoschi Aurelia-Magdalena, Alexandrescu Mihai-Florin, Dumachi Andreea-Ionela, Galeș Laurentia-Nicoleta, Trifănescu Oana Gabriela, Zgură Anca-Florina, Șerbănescu Luiza-Georgia, Capșa Cristina, Charalambous Andreas, Șerban Andreea-Iren
Faculty of General Medicine, Carol Davila University of Medicine and Pharmacy, 8 Eroii Sanitari Street, 050474 Bucharest, Romania.
Oncological Institute "Alexandru Trestioreanu" Bucharest, 252 Soseaua Fundeni, 022328 Bucharest, Romania.
Cancers (Basel). 2025 Mar 27;17(7):1128. doi: 10.3390/cancers17071128.
: Malnutrition is a key determinant of quality of life (QoL) in patients with head and neck cancers (HNCs), influencing treatment outcomes and the occurrence of adverse events (AEs). Despite there being numerous studies on nutritional status and QoL, there is no standardized risk or prognostic model integrating clinical and demographic factors. A literature search was conducted in September 2024 in Scopus, PubMed, and Web of Science, covering studies published between 2013 and 2024. Articles were selected based on their relevance to AEs, nutritional interventions, and QoL assessments in HNC patients. : The key factors influencing QoL in HNC patients include age, sex, weight, BMI, educational level, and tumor features. Mucositis was identified as the most significant food intake-impairing AE, contributing to malnutrition and reduced QoL. Current QoL assessments rely on descriptive questionnaires, which lack personalization and predictive capabilities. Digital tools, including machine learning models and digital twins, offer potential solutions for risk prediction and personalized nutritional interventions. : Despite significant research efforts, QoL assessment in HNC patients remains non-uniform, and risk models integrating nutritional status are lacking. A comprehensive, personalized approach is needed, leveraging digital tools to improve nutritional intervention strategies.
营养不良是头颈癌（HNC）患者生活质量（QoL）的关键决定因素，影响治疗结果和不良事件（AE）的发生。尽管有许多关于营养状况和生活质量的研究，但尚无整合临床和人口统计学因素的标准化风险或预后模型。2024年9月在Scopus、PubMed和Web of Science上进行了文献检索，涵盖2013年至2024年发表的研究。根据文章与HNC患者不良事件、营养干预和生活质量评估的相关性进行筛选。：影响HNC患者生活质量的关键因素包括年龄、性别、体重、体重指数、教育水平和肿瘤特征。黏膜炎被确定为最显著的影响食物摄入的不良事件，导致营养不良和生活质量下降。目前的生活质量评估依赖于描述性问卷，缺乏个性化和预测能力。数字工具，包括机器学习模型和数字孪生，为风险预测和个性化营养干预提供了潜在的解决方案。：尽管进行了大量研究，但HNC患者的生活质量评估仍不统一，且缺乏整合营养状况的风险模型。需要一种全面、个性化的方法，利用数字工具改进营养干预策略。
