由PSEN1- E280A基因变异引起的早发性常染色体显性阿尔茨海默病患者的营养评估:一项横断面研究

JAR life Pub Date : 2021-01-01 DOI:10.14283/jarlife.2021.6
M Gómez-Vega, E Garcia-Cifuentes, D Aguillon, J E Velez, A Jaramillo-Jimenez, D Vasquez, C Gómez-Henck, C Andrés Tobon, G C Deossa Restrepo, F Lopera
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引用次数: 0

摘要

背景:体重减轻和营养不良是迟发性和散发性阿尔茨海默病(AD)的常见表现。然而,对早发性常染色体显性AD (EO-ADAD)的营养状况了解较少。目的:分析遗传型EO-ADAD患者的营养状况与其他临床和社会人口学特征之间的关系。设计设置和参与者:横断面研究,来自常染色体显性AD队列的75名非机构参与者(13名患有轻度认知障碍,61名患有痴呆症,年龄从38岁到67岁)进行了结构化的临床评估,重点是营养状况。测量:主要结果是营养状况,并使用迷你营养评估(MNA)进行测量。根据MNA总分将患者分为营养不良组(MNA≤23.5)和营养良好组(MNA≥24)。社会人口学和临床变量也被确定为营养状况的潜在预测因素或混杂因素。结果:57.3%的样本存在MNA引起的营养不良。42%的参与者BMI值低于18.5或高于24.9 kg/m2。营养良好和营养不良患者的总BMI值相似(中位数分别为24.2 IQR 3.59和23.9 IQR 4.42, p=0.476)。当比较营养良好组和营养不良组时,我们发现在痴呆严重程度(p=0.034)、虚弱程度(p=0.001)、多种疾病(p=0.035)和多种药物治疗(p=0.045)等变量上存在统计学上的显著差异。调整后的逻辑回归和泊松回归都没有显示任何临床或社会人口学变量可以解释营养不良。结论:在我们的EO-ADAD样本中,营养不良是一个常见的发现,特别是在疾病的晚期。多种药物、多种疾病、虚弱和严重痴呆患者的营养状况存在差异,更容易出现营养不良。需要进一步研究更大的样本量来建立这种联系。
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Nutritional Assessment in Patients with Early-Onset Autosomal Dominant Alzheimer's Disease Due to PSEN1- E280A Genetic Variant: A Cross-Sectional Study.

Background: Weight loss and malnutrition are frequent findings in late-onset and sporadic presentations of Alzheimer's Disease (AD). However, less is known about nutritional status in Early-Onset Autosomal Dominant AD (EO-ADAD).

Objective: To analyze the association between nutritional status and other clinical and sociodemographic characteristics in individuals with a genetic form of EO-ADAD.

Design settings and participants: Cross-sectional study with 75 non-institutionalized participants from a cohort of Autosomal Dominant AD (13 with mild cognitive impairment and 61 with dementia, ages from 38 to 67 years) underwent a structured clinical assessment with emphasis on nutritional status.

Measurements: Primary outcome was nutritional status and it was measured using the Mini Nutritional Assessment (MNA). Patients were categorized according to MNA total score, as undernourished (MNA ≤23.5) and well-nourished (MNA ≥ 24). Sociodemographic and clinical variables identified as potential predictors or confounders of nutritional status were also collected.

Results: Undernourishment by MNA was present in 57.3% of the sample. Forty-two percent of participants had abnormal BMI values considered lower than 18.5 or higher than 24.9 kg/m2. Total BMI values were similar in well and undernourished patients (median 24.2 IQR 3.59 and median 23.9 IQR 4.42, respectively, p=0.476). When comparing well and undernourished groups, we found statistically significant differences for variables: severity of dementia (p=0.034), frailty (p=0.001), multimorbidity (p=0.035) and, polymedication (p=0.045). Neither adjusted logistic regression nor the Poisson regression showed that any clinical or sociodemographic variables explained undernourishment.

Conclusions: Undernourishment was a frequent finding in our sample of EO-ADAD, especially in later stages of the disease. Patients with polymedication, multimorbidity, frailty and severe dementia show differences in their nutritional status with a tendency to be more frequently undernourished. Further studies with larger sample sizes are needed to establish this association.

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