Biomarkers of Age-Related Frailty and Frailty Related to Diseases: An Exploratory, Cross-Sectional Analysis from the MAPT Study.

BACKGROUND: Frailty may in most cases result from two main causes: the aging process (age-related frailty) and diseases (evolving chronic conditions or acute medical illnesses - disease-related frailty). The biological determinants characterizing these two main causes of frailty may be different. OBJECTIVES: The aim of this study is to compare the biological and neuroimaging profile of people without frailty, those with age-related frailty, and subjects with disease-related frailty in community-dwelling older adults. MATERIAL AND METHODS: We performed a secondary, cross-sectional analysis from the Multidomain Alzheimer Preventive Trial (MAPT). We included 1199 subjects without frailty throughout the 5-year follow-up, 82 subjects with incident age-related frailty, and 53 with incident disease-related frailty. Available blood biomarkers involved nutritional (eg, vitamin D, omega-3 fatty acids), inflammatory-related (IL-6, TNFR1, GDF15), neurodegenerative (eg, beta-amyloid, neurofilament light chain) and neuroimaging markers (MRI, Amyloid-PET). RESULTS: Although not statistically significant, the results of the unadjusted model showed increasing gradients for inflammatory markers (GDF15, TNFR1) and decreasing gradients for nutritional and neuroimaging markers (omega 3 index, hippocampal volume) from age-related frailty participants to individuals with disease-related frailty. Considering the linear models we observed higher GDF15 values in disease-related frailty group compared to age-related frailty individuals [ß = 242.8 (49.5, 436.2)]. We did not find any significant difference between subjects without frailty and those with age-related frailty. Subjects with disease-related frailty compared to subjects without frailty had lower values of DHA [ß = -2.42 (-4.76, -0.08)], Omega 3 Index [ß = -0.50 (-0.95, -0.06)] and hippocampal volume [ß = -0.22 (-0.42,-0.02)]. They also had higher values of GDF15 [ß = 246.1 (88.9, 403.4)] and TNFR1 [ß = 157.5 (7.8, 307.2)]. CONCLUSION: Age-related frailty and disease-related frailty may represent different degrees of frailty severity on a biological level. Further research is needed to identify biomarkers potentially able to distinguish these classifications of frailty.

Oral Health and Undernutrition in the Frail Elderly Persons.

INTRODUCTION: Although many studies associate a poor state of oral health with the risk of undernutrition in both the autonomous and dependent elderly, very few of them consider the frail elderly person. However, the identification of the frail elderly is one of major issues of modern geriatrics. It is at this stage that preventive strategies are the most effective against the risks of dependency. The main objective of our study is to explore the nature of the association between oral health and undernutrition in the frail elderly patient, and to identify the associated factors. MATERIALS AND METHODS: We have used the data of an observational transversal monocentric study, conducted among a population of patients hospitalized for frailty assessment at the Geriatric Frailty Clinic (G.F.C.) for Assessment of Frailty and Prevention of Disability. The enrolment site is the Cité de la Santé, at Toulouse University Hospital. Data were collected from January 25, 2016 February 2, 2018. The data collected sociodemographic characteristics, oral health (Oral Health Assessment Tool), nutritional status (Mini Nutritional Assessment), Body Mass Index, and weight loss according to Fried), frailty (Fried criteria), functional status (Mini Mental State Examination, Activity of Daily Living, Instrumental Activity of Daily Living, Geriatric Depression Scale-15), and behavior (tobacco and alcohol). RESULTS: We included 1,155 subjects with an average age of 81.9 years, including 65% women. Bivariate analysis indicated a statistically significant association (p<0.05) between a pathological state of oral health and undernutrition, particularly with regard to decay of natural teeth, pathologies of the tongue, gums and tissues, dry mouth, lack of oral cleanliness and presence of dental pain. Multivariate analysis adjusted for socio-demographic, behavioral and functional data confirmed some of these associations, notably between the item gum/mucous membrane and the decrease of the score (p<0.01); this same item and weight loss according to Fried (p<0.01), and the item tongue and weight loss (p<0.05). A statistically significant association appeared between the state of oral health and frailty (item tongue (p<0.01)). DISCUSSION: Our study shows a statistically significant association between a pathological state of oral health and nutrition disorders in the frail elderly person. This result confirms the hypothesis postulating that a poor state of oral health would be associated with nutritional disorders among the frail elderly. Our analysis also shows a statistically significant association between a deteriorated state of oral health and frailty. Tongue diseases here increase the risk of frailty for the patient. Our results are, however, limited and do not allow for an analysis of causal effect. It would be useful to complete our study by more refined analyses of risk factors, conducted on a larger sample, and with a follow-up patients over time. CONCLUSION: We show here the importance of targeting the frail population in order to screen for oral disease and refer patients for dental care. Ensuring oral health care of frail patients seems indispensable if they are to maintain not only a healthy nutritional state, but also a satisfactory general state of health, thus allowing for successful aging.

No Difference in the Phenotypic Expression of Frailty among Elderly Patients Recently Diagnosed with Cancer Vs Cancer Free Patients.

OBJECTIVES: To examine frailty determinants differences in patients with a recent diagnosis of cancer compared to non-cancer patients among older adult. Revealing those differences will allow us to individualize the exact frailty management in those patients diagnosed with cancer. DESIGN: This is an observational cross-sectional, monocentric study. SETTING: Patients were evaluated at the Geriatric Frailty Clinic (GFC), in the Toulouse University Hospital, France, between October 2011 and February 2016. PARTICIPANTS: 1996 patients aged 65 and older were included (1578 patients without cancer and 418 patients with solid and hematological cancer recently diagnosed). MEASUREMENTS: Frailty was established according to the frailty phenotype. The frailty phenotype measures five components of frailty: weight loss, exhaustion, low physical activity, weakness and slow gait. Frailty phenotype was categorized as robust, pre-frail and frail. RESULTS: In a multinomial logistic regression, cancer, compared to the non-cancer group, is not associated with an increased likelihood of being classified as pre frail (RRR 0.9, 95% CI [0.5 ; 1.6 ], p 0.9) or frail (RRR 1.2, 95% CI [0.7 ; 2.0], p 0.4) rather than robust. When considering each Fried criterion, a significant higher odd of weight loss was observed in older patients with cancer compared to the non-cancer patients (OR 2.3, 95% CI [1.8; 3.0], p <0.001) but no statistically significant differences was found among the four other Fried criteria. Sensitivity analysis on the frailty index showed that cancer was not associated with a higher FI score compared to non-cancer (ß 0.002, 95%CI [-0.009; 0.01], p 0.6). CONCLUSION: In this real-life study evaluating elderly patients with and without cancer, we didn't confirm our hypothesis, in fact we found that cancer was not associated with frailty severity using both a phenotypic model and a deficit accumulation approach. Cancer may contribute, at least additively, to the development of frailty, like any other comorbidity, rather than a global underlying condition of vulnerability.

Visual Impairment Screening at the Geriatric Frailty Clinic for Assessment of Frailty and Prevention of Disability at the Gérontopôle.

OBJECTIVES: To evaluate visual performance and factors associated with abnormal vision in patients screened for frailty at the Geriatric Frailty Clinic (GFC) for Assessment of Frailty and Prevention of Disability at Toulouse University Hospital. DESIGN: Retrospective, observational cross-sectional, single-centre study. SETTING: Institutional practice. PARTICIPANTS: Patients were screened for frailty during a single-day hospital stay between October 2011 and October 2014 (n = 1648). MEASUREMENTS: Collected medical records included sociodemographic data (including living environment and educational level), anthropometric data, and clinical data. The general evaluation included the patient's functional status using the Activities of Daily Living (ADL) scale and the Instrumental Activity of Daily Living (IADL) scale, the Mini-Mental State Examination (MMSE) for cognition testing, and the Short Physical Performance Battery (SPPB) for physical performance. We also examined Body Mass Index (BMI), the Mini-Nutritional Assessment (MNA), and the Hearing Handicap Inventory for the Elderly Screening (HHIE-S) tool. The ophthalmologic evaluation included assessing visual acuity using the Snellen decimal chart for distant vision, and the Parinaud chart for near vision. Patients were divided into groups based on normal distant/near vision (NDV and NNV groups) and abnormal distant/near vision (ADV and ANV groups). Abnormal distant or near vision was defined as visual acuity inferior to 20/40 or superior to a Parinaud score of 2, in at least one eye. Associations with frailty-associated factors were evaluated in both groups. RESULTS: The mean age of the population was 82.6 ± 6.2 years. The gender distribution was 1,061 females (64.4%) and 587 males (35.6%). According to the Fried criteria, 619 patients (41.1%) were pre-frail and 771 (51.1%) were frail. Distant and near vision data were available for 1425 and 1426 patients, respectively. Distant vision was abnormal for 437 patients (30.7%). Near vision was abnormal for 199 patients (14%). Multiple regression analysis showed that abnormal distant vision as well as abnormal near vision were independently associated with greater age (P < 0.01), lower educational level (P < 0.05), lower performance on the MMSE (P < 0.001), and lower autonomy (P < 0.02), after controlling for age, gender, educational level, Fried criteria, and MMSE score. CONCLUSION: The high prevalence of visual disorders observed in the study population and their association with lower autonomy and cognitive impairment emphasises the need for systematic screening of visual impairments in the elderly. Frailty was not found to be independently associated with abnormal vision.