Division of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, Minnesota, USA.
Division of Pulmonary and Critical Care Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Nutr Clin Pract. 2019 Feb;34(1):48-58. doi: 10.1002/ncp.10230. Epub 2018 Dec 26.
Malnutrition continues to be highly prevalent in hospitalized and critically ill patients and is associated with significant morbidity and mortality. Additionally, survivors of critical illness have an increased risk for sarcopenia, which leads to weakness and physical debilitation that can persist for years. Nutrition risk assessment tools have been developed and validated in critically ill patients but have limitations. Variables such as body weight, body mass index, weight change, or percentage of food intake can be difficult to obtain in critically ill patients and may be misleading given changes in body composition, such as an increase in body water. Assessment of body composition through new techniques provides a unique opportunity to counter some of these limitations and develop improved methods of nutrition risk assessment based on objective data. The present manuscript provides a review of the most commonly available clinical technology for assessment of body composition (bioimpedance, computed tomography, and ultrasound), including data from trials in critically ill patients highlighting the benefits and weaknesses of each modality.
营养不良在住院和重症患者中仍然非常普遍,与显著的发病率和死亡率相关。此外,重症患者的存活者有发生肌肉减少症的风险增加,这会导致虚弱和身体衰弱,可持续多年。营养风险评估工具已在重症患者中开发和验证,但存在局限性。在重症患者中,体重、体重指数、体重变化或食物摄入量的百分比等变量可能难以获得,并且由于身体成分的变化,例如体水增加,可能会产生误导。通过新技术评估身体成分提供了一个独特的机会,可以克服其中的一些限制,并基于客观数据开发改进的营养风险评估方法。本手稿回顾了最常用的临床身体成分评估技术(生物阻抗、计算机断层扫描和超声),包括来自重症患者试验的数据,突出了每种模式的优点和弱点。