Department of Clinical Nutrition, General Hospital Korgialenio Benakio, Athens, Greece.
Department of Nutritional Science and Dietetics, University of the Peloponnese, Kalamata, Greece.
Lung. 2022 Jun;200(3):347-379. doi: 10.1007/s00408-022-00536-z. Epub 2022 May 26.
Lung cancer is the most common cause of cancer death and is associated with malnutrition and sarcopenia. The detection of sarcopenia and conduction of simple body composition measurements, such as the phase angle (PhA) deriving from bioelectrical impedance analysis (BIA), can help to early identify, monitor, prevent and treat malnutrition. The present review aims to clarify the relationship between PhA and sarcopenia with the pathophysiology, clinical outcomes, and therapeutic aspects of lung cancer. PhA and sarcopenia are connected to lung cancer prognosis through various mechanisms including inflammation and oxidative stress, although more research is needed to identify the critical thresholds for increased mortality risk. Moreover, emphasis is given on the role of dietary interventions (oral nutritional supplementation, and dietary counseling) to manage sarcopenia and related variables in patients with lung cancer. Oral nutritional supplements and/or those containing n - 3 polyunsaturated fatty acids may have a positive effect on physical strength measures and muscle mass if administered at the beginning of chemotherapy. Data on sole dietary counseling or multimodal interventions are less promising so far. In the future, sophisticated body composition phenotypes deriving from the described methods along with artificial intelligence techniques could be used to design personalized nutrition interventions and timely treat these patients.
肺癌是癌症死亡的最常见原因,与营养不良和肌肉减少症有关。肌肉减少症的检测和简单的身体成分测量,如生物电阻抗分析(BIA)得出的相位角(PhA),可以帮助早期识别、监测、预防和治疗营养不良。本综述旨在阐明 PhA 与肌肉减少症与肺癌的病理生理学、临床结果和治疗方面的关系。PhA 和肌肉减少症通过包括炎症和氧化应激在内的各种机制与肺癌的预后相关,但需要更多的研究来确定增加死亡风险的临界阈值。此外,还强调了饮食干预(口服营养补充剂和饮食咨询)在管理肺癌患者肌肉减少症和相关变量中的作用。如果在化疗开始时给予口服营养补充剂和/或含有 n-3 多不饱和脂肪酸的营养补充剂,可能对体力测量和肌肉质量有积极影响。目前关于单纯饮食咨询或多模式干预的数据还不太有希望。在未来,基于描述性方法和人工智能技术的复杂身体成分表型可以用于设计个性化的营养干预措施,并及时治疗这些患者。