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1.
Clin Nutr ; 43(3): 701-707, 2024 03.
Article in English | MEDLINE | ID: mdl-38320461

ABSTRACT

BACKGROUND & AIMS: The association between sarcopenia and malnutrition has been poorly studied in the older population. The purpose of this study is to address the association between sarcopenia, according to different validated definitions, and nutritional status in a large population of community-dwelling older adults. METHODS: Observational, cross-sectional study of the Geriatric Frailty Clinic (GFC) for Assessment of Frailty and Prevention of Disability, held by the "Gérontopôle" of the Toulouse University Hospital. Patients aged above 65 years who benefitted from a Dual X-ray Densitometry (DXA) during their assessment at the GFC from June 5th 2013 to January 28th 2020 were included. Sarcopenia was defined according to proposed validated definitions. The Mini Nutritional Assessment (MNA) was used to stratify nutritional status, and identify patients with a poor nutritional status (at risk of malnutrition or malnourished, MNA <24). Multiple logistic regression analyses were performed between MNA and each sarcopenia definition adjusted for confounders. RESULTS: Among the 938 patients with DXA data, a total of 809 (86.2 %) subjects were included in the analysis (mean age 81.8 ± 6.9 years, 527 females (65.1 %)). Prevalence of sarcopenia ranged from 12.6 % to 44.9 %, according to various definitions. Overall 244 (30.2 %) of the patients had a poor nutritional status (MNA-score <24), Baumgartner and Newman definitions of sarcopenia were both associated with low MNA-scores (OR = 4.69, CI 3.15-6.98 and OR = 2.30, CI 1.55-3.14, respectively), EWGSOP2 "confirmed sarcopenia" definition was also associated with low MNA-scores (OR = 3.68, CI 2.30-5.89), as well as for the lean mass definition according EWGSOP2 cut-off (OR 5.22 CI 3.52-7.73). Both FNIH and EWGSOP2 "probable sarcopenia" definitions were not associated with the risk of malnutrition. CONCLUSIONS: In this study, the prevalence of sarcopenia ranged from 12.6 to 44.9 % according to various definitions. A score of MNA under 24, was associated with almost all of the sarcopenia definitions. This study reinforces the concept that malnutrition and sarcopenia are strictly related. When facing malnutrition in daily clinical practice, body composition should be assessed and the proposed nutritional intervention should be tailored by these results in order to prevent the onset of late-life disability.


Subject(s)
Frailty , Malnutrition , Sarcopenia , Female , Humans , Aged , Aged, 80 and over , Nutritional Status , Cross-Sectional Studies , Frailty/epidemiology , Sarcopenia/epidemiology , Malnutrition/epidemiology
2.
J Frailty Aging ; 10(2): 132-138, 2021.
Article in English | MEDLINE | ID: mdl-33575701

ABSTRACT

The WHO action plan on aging expects to change current clinical practices by promoting a more personalized model of medicine. To widely promote this initiative and achieve this goal, healthcare professionals need innovative monitoring tools. Use of conventional biomarkers (clinical, biological or imaging) provides a health status assessment at a given time once a capacity has declined. As a complement, continuous monitoring thanks to digital biomarkers makes it possible to remotely collect and analyze real life, ecologically valid, and continuous health related data. A seamless assessment of the patient's health status potentially enables early diagnosis of IC decline (e.g. sub-clinical or transient events not detectable by episodic evaluations) and investigation of its probable causes. This narrative review aims to develop the concept of digital biomarkers and its implementation in IC monitoring.


Subject(s)
Aging , Biomarkers , Delivery of Health Care, Integrated , Geriatric Assessment , Aged , Aged, 80 and over , Aging/physiology , Early Diagnosis , Geriatric Assessment/methods , Humans
3.
J Frailty Aging ; 10(2): 160-167, 2021.
Article in English | MEDLINE | ID: mdl-33575706

ABSTRACT

BACKGROUND: Frailty and cognitive impairment are common manifestations of the ageing process and are closely related. But the mechanisms linking aging, physical frailty, and cognitive disorders, are complex and remain unclear. OBJECTIVES: We aim to explore the role of cerebral amyloid pathology, but also a range of nutritional, physical, biological or brain-aging marker in the development of cognitive frailty. METHOD: COGFRAIL study is a monocentric prospective study of frail older patients with an objective cognitive impairment (Clinical Dementia Rating Scale global score at 0.5 or 1). Three-hundred-and-twenty-one patients are followed up every 6 months, for 2 years. Clinical assessment at baseline and during follow-up included frailty, physical, mood, sensory, nutritional, and cognitive assessment (with a set of neuropsychological tests). Cerebral amyloid pathology is measured by amyloid Positron Emission Tomography (PET) or amyloid-ß-1-42 level in cerebrospinal fluid. Brain magnetic resonance imaging, measurement of body composition using Dual X Ray Absorptiometry and blood sampling are performed. The main outcome of the study is to assess the prevalence of positive cerebral amyloid status according to amyloid PET or amyloid-ß-1-42 level CSF. Secondary outcomes included biological, nutritional, MRI imaging, cognitive, clinical, physical and body composition markers to better understand the mechanisms of cognitive frailty. PERSPECTIVE: COGFRAIL study will give the opportunity to better understand the link between Gerosciences, frailty, cognitive impairment, and Alzheimer's disease, and to better characterize the physical and cognitive trajectories of frail older adults according to their amyloid status. Understanding the relationship between physical frailty and cognitive impairment is a prerequisite for the development of new interventions that could prevent and treat both conditions.


Subject(s)
Amyloid , Cognition , Cognitive Dysfunction , Frail Elderly , Aged , Aged, 80 and over , Amyloid/metabolism , Biomarkers/metabolism , Cognition/physiology , Cognitive Dysfunction/diagnosis , Humans , Prospective Studies
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