Moga Titus David, Moga Ioana, Sabău Monica, Venter Alina Cristiana, Romanescu Dana, Bimbo-Szuhai Erika, Costas Lavinia Mihaela, Huniadi Anca, Rahota Diana Maria
Departmen of Morphological Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410028 Oradea, Romania.
Department of Psycho Neuroscience and Recovery, Faculty of Medicine and Pharmacy, University of Oradea, 410028 Oradea, Romania.
Geriatrics (Basel). 2022 Sep 21;7(5):102. doi: 10.3390/geriatrics7050102.
It is important to assess the physical and nutritional status of the body using a bioelectrical impedance analyzer (BIA) in patients with cachexia; however, the correlation between cachexia and nutritional evaluations remains unclear. The objective of this study is to follow the effects of diet therapy in patients with cachexia/sarcopenia, using parameters measured by BIA, clinical parameters, and other nutrition-related assessments in patients with osteoporosis. This study aims to clarify the correlation between BIA-measured parameters, clinical parameters, and other nutrition-related assessments. Methods: Measurements of body composition, a clinical assessment of the sarcopenia/cachexia, and nutritional goal setting/a nutrition care process were performed. Results: The number of subjects was 200, of which 15 people (7.5%) were diagnosed with sarcopenia/cachexia. Univariate analyses showed that participants with a high body-fat mass tend to develop sarcopenic obesity (p = 0.029), those who lost a significant and progressive amount of muscle mass tend to develop sarcopenia (p = 0.001), as well as those with malnutrition (p < 0.001). The regression study shows not only the correlation but also the cause of the correlation, as is the case with obesity. As obesity increases, so does the sarcopenic index (this can explain sarcopenic obesity), and as fat mass decreases it leads to muscle mass loss, increasing the risk of cachexia with age. Conclusions: There was an improvement, but statistically insignificant, in cachexia and the nutritional objectives (p > 0.05); at the same time, correlations were established between the independent parameters (sex, age) and malnutrition parameters (hemoglobin and amylase) with the parameters of the research.
对于恶病质患者,使用生物电阻抗分析仪(BIA)评估身体的物理和营养状况很重要;然而,恶病质与营养评估之间的相关性仍不清楚。本研究的目的是跟踪饮食疗法对恶病质/肌肉减少症患者的影响,使用BIA测量的参数、临床参数以及骨质疏松症患者的其他营养相关评估。本研究旨在阐明BIA测量参数、临床参数和其他营养相关评估之间的相关性。方法:进行身体成分测量、肌肉减少症/恶病质的临床评估以及营养目标设定/营养护理过程。结果:受试者人数为200人,其中15人(7.5%)被诊断为肌肉减少症/恶病质。单因素分析表明,高体脂量的参与者倾向于发展为肌肉减少性肥胖(p = 0.029),肌肉量显著且逐渐减少的参与者倾向于发展为肌肉减少症(p = 0.001),以及营养不良的参与者(p < 0.001)。回归研究不仅显示了相关性,还显示了相关性的原因,就像肥胖一样。随着肥胖增加,肌肉减少指数也增加(这可以解释肌肉减少性肥胖),随着脂肪量减少,会导致肌肉量流失,随着年龄增长,恶病质风险增加。结论:恶病质和营养目标有改善,但无统计学意义(p > 0.05);同时,在独立参数(性别、年龄)和营养不良参数(血红蛋白和淀粉酶)与研究参数之间建立了相关性。