阻塞性睡眠呼吸暂停 (OSA) 是头颈癌 (HNC) 护理中一种被低估和忽视的合并症。完善 HNC-OSA 管理需要更好地把握 HNC-OSA 关系。因此，本文回顾了当前 HNC 治疗过程、治疗前后的因果关系和关联关系，以及量化 HNC-OSA 相互作用的统计方法。该评估具有双重目的：支持肿瘤学家和睡眠医生将 OSA 视为合并症来改善接受 HNC 治疗的患者的治疗结果，并帮助研究人员选择合适的分析模型来研究 OSA 和 HNC 之间的相关性。该研究证实呼吸暂停低通气指数（AHI）与原发肿瘤大小之间存在正相关性，这与之前的发现一致。案例研究还报告了脂肪瘤和头颈肿瘤引发 OSA 以及睡眠呼吸暂停手术促进肿瘤发展的新证据。本文概述了现有的统计模型，并提供了模型选择的建议和设计实验的框架，以深入研究围绕癌症治疗各个阶段的 OSA 和 HNC 之间的联系的研究问题。尽管取得了进展，但由于组织学、分子和临床数据有限，对 HNC-OSA 相互作用的了解仍然不完整。未来的纵向数据研究对于获得全面的见解至关重要。版权所有 © 2024。由 Elsevier Ltd 出版。

Obstructive sleep apnea (OSA) is an underestimated and overlooked comorbidity in head and neck cancer (HNC) care. Refining HNC-OSA management requires an improved grasp of the HNC-OSA relationship. Thus, this paper reviews the current course of HNC therapy, causal and associative relationships before and after treatment, and statistical methods quantifying HNC-OSA interactions. This evaluation serves a dual purpose: to support oncologists and sleep physicians in improving the treatment outcomes of patients undergoing HNC treatment by considering OSA as a comorbidity and to assist researchers in selecting suitable analytical models for investigating the correlation between OSA and HNC. The investigation confirms a positive correlation between the apnea-hypopnea index (AHI) and primary tumor size, consistent with prior findings. Case studies also reported new evidence of lipoma and head-neck tumors triggering OSA, and sleep apnea surgery prompting tumor development. This paper provides an overview of existing statistical models and offers suggestions for model selection and a framework for designing experiments that delve into research questions surrounding the link between OSA and HNC across various stages of cancer treatment. Despite progress, understanding the HNC-OSA interplay remains incomplete due to limited histological, molecular, and clinical data. Future studies with longitudinal data are crucial for comprehensive insights.Copyright © 2024. Published by Elsevier Ltd.