Nutritional Assessment in Patients with Early-Onset Autosomal Dominant Alzheimer's Disease Due to PSEN1- E280A Genetic Variant: A Cross-Sectional Study.

Autosomal Dominant Alzheimer’s Disease Mini Nutritional Assessment malnutrition

Journal

JAR life
ISSN: 2534-773X
Titre abrégé: JAR Life
Pays: France
ID NLM: 9918299586506676

Informations de publication

Date de publication:
2021
Historique:
received: 19 09 2020
accepted: 03 05 2021
entrez: 16 3 2023
pubmed: 6 6 2021
medline: 6 6 2021
Statut: epublish

Résumé

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

Sections du résumé

Background UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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.

Identifiants

pubmed: 36923517
doi: 10.14283/jarlife.2021.6
pmc: PMC10002882
doi:

Types de publication

Journal Article

Langues

eng

Pagination

32-38

Informations de copyright

© 2021 - JARLIFE.

Déclaration de conflit d'intérêts

Dr. Gomez Vega, Dr. Aguillon and Dr. Tobon report grants from Ministerio de Ciencia, Tecnología e Innovación-Minciencias, during the conduct of the study; Dr. Lopera reports grants from Minciencias, during the conduct of the study; grants from API COLOMBIA, outside the submitted work; Dr. Garcia-Cifuentes, Dr. Velez, Dr. Jaramillo-Jimenez, Dr. Vasquez, Dr. Gomez Henck, and Dr. Deossa Restrepo have nothing to disclose.

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Auteurs

M Gómez-Vega (M)

Grupo Neuropsicología y Conducta, Facultad de Medicina, Universidad de Antioquia, Institución Prestadora de Servicios de Salud - IPS Universitaria, Medellín, Colombia.
Grupo Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia.

E Garcia-Cifuentes (E)

Grupo Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia.
Semillero de Neurociencias y Envejecimiento, Facultad de Medicina, Instituto de Envejecimiento, Pontificia Universidad Javeriana, Bogotá, Colombia.

D Aguillon (D)

Grupo Neuropsicología y Conducta, Facultad de Medicina, Universidad de Antioquia, Institución Prestadora de Servicios de Salud - IPS Universitaria, Medellín, Colombia.
Grupo Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia.

J E Velez (JE)

Grupo Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia.

A Jaramillo-Jimenez (A)

Grupo Neuropsicología y Conducta, Facultad de Medicina, Universidad de Antioquia, Institución Prestadora de Servicios de Salud - IPS Universitaria, Medellín, Colombia.
Grupo Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia.
Centre for Age-Related Medicine (SESAM), Stavanger University Hospital. Stavanger, Norway.
Faculty of Health Sciences, University of Stavanger. Stavanger, Norway.

D Vasquez (D)

Grupo Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia.
Grupo de investigación en Epidemiología y Bioestadística, Universidad CES, Medellín, Colombia.

C Gómez-Henck (C)

Grupo Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia.

C Andrés Tobon (C)

Grupo Neuropsicología y Conducta, Facultad de Medicina, Universidad de Antioquia, Institución Prestadora de Servicios de Salud - IPS Universitaria, Medellín, Colombia.

G C Deossa Restrepo (GC)

Escuela de nutrición y dietética, Universidad de Antioquia, Medellín, Colombia. ORCID digit: Manuela Gómez-Vega: 0000-0002-2000-4901.

F Lopera (F)

Grupo Neurociencias de Antioquia, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia.

Classifications MeSH