Borda Miguel G, Bani Hassan Ebrahim, Weon Jang Ho, Wakabayashi Hidetaka, Tovar-Rios Diego A, Oppedal Ketil, Aarsland Dag, Duque Gustavo
Centre for Age-Related Medicine (SESAM), Stavanger University Hospital, Norway.
Faculty of Health Sciences, University of Stavanger, Norway.
J Gerontol A Biol Sci Med Sci. 2022 Feb 3;77(2):228-234. doi: 10.1093/gerona/glab224.
Malnutrition is highly prevalent in older persons with dementia. Therefore, strong predictors of malnutrition in this population are crucial to initiating early interventions. This study evaluates the association between the probability of having malnutrition with the muscle volume and intramuscular fat (iMAT) of the masseter and the tongue in magnetic resonance imaging (MRI) of community-dwelling older persons diagnosed with mild dementia followed up for 5 years. This is a longitudinal study conducted in the western part of Norway. Muscle volume and iMAT of the tongue and masseter were computed from structural head MRI obtained from 65 participants of the Dementia Study of Western Norway using Slice-O-Matic software for segmentation. Malnutrition was assessed using the Global Leadership Initiative on Malnutrition Index. Linear mixed models were conducted. Having malnutrition at baseline was associated with lower muscle volume (odds ratio [OR] 0.60, standard error [SE] 0.20; p = .010) and higher iMAT (OR 3.31, SE 0.46; p = .010) in the tongue. At 5 years follow-up, those with lower muscle volume (OR 0.55, SE 0.20; p = .002) and higher iMAT (OR 2.52, SE 0.40; p = .022) in the tongue had a higher probability of presenting malnutrition. The masseter iMAT and volume were not associated with malnutrition in any of the adjusted models. In people diagnosed with mild dementia, tongue muscle volume and iMAT were associated with baseline malnutrition and the probability of developing malnutrition in a 5-year trajectory. In the masseter, there were no significant associations after adjustments.
营养不良在老年痴呆症患者中非常普遍。因此，该人群营养不良的有力预测指标对于启动早期干预至关重要。本研究评估了社区居住的轻度痴呆症老年患者在5年随访期间，磁共振成像（MRI）中咬肌和舌肌的肌肉体积和肌内脂肪（iMAT）与营养不良可能性之间的关联。这是一项在挪威西部进行的纵向研究。使用Slice - O - Matic软件对挪威西部痴呆症研究的65名参与者的头部结构MRI进行分析，计算舌肌和咬肌的肌肉体积和iMAT。使用全球营养不良领导倡议指数评估营养不良情况。进行了线性混合模型分析。基线时存在营养不良与舌肌较低的肌肉体积（优势比[OR] 0.60，标准误[SE] 0.20；p = 0.010）和较高的iMAT（OR 3.31，SE 0.46；p = 0.010）相关。在5年随访时，舌肌体积较低（OR 0.55，SE 0.20；p = 0.002）和iMAT较高（OR 2.52，SE 0.40；p = 0.022）的患者出现营养不良的可能性更高。在任何调整模型中，咬肌的iMAT和体积与营养不良均无关联。在被诊断为轻度痴呆症的人群中，舌肌体积和iMAT与基线营养不良以及5年病程中发生营养不良的可能性相关。在咬肌方面，调整后无显著关联。
