More than a third of middle-aged adults (50-65) have understated executive dysfunction.

OBJECTIVES: Understated executive dysfunction (UED) is predictive of cognitive decline and death. We aimed to assess the prevalence of UED, assessed with the clock-drawing test (CDT) and the Frontal Assessment Battery (FAB) in middle-aged adults and to investigate associated characteristics. METHODS: Cross-sectional analysis of data on 516 community-dwellers aged 50-65, lacking cognitive complaints, who were included prospectively (2010-2017) after a multidimensional geriatric assessment at a "healthy ageing" outpatient clinic. Age- and educational-level-adjusted logistic models were used to assess factors associated with UED. RESULTS: The CDT and FAB were impaired in 27.7% and 14.7% of the participants (median age: 59.7 years). The prevalence [95% confidence interval (CI)] of UED was 36.2% [32.2-40.5%]. After adjustment for age and education, participants with UED were more likely to be obese (odds ratio [95%CI] = 1.89 [1.12-3.19], P = 0.02), and to have a metabolic syndrome (1.98 [1.06-3.72], P = 0.03). CONCLUSION: More than one third of middle-aged adults without cognitive complaints have UED, which was linked to obesity and metabolic syndrome. Cognitive screening tests targeting executive functions might be useful for early detection of UED and the initiation of multidomain interventions improving cognitive performance.

White Matter Lesions: Prevalence and Clinical Phenotype in Asymptomatic Individuals Aged ≥50 Years.

BACKGROUND: To assess the prevalence of early confluent/confluent white matter lesions (ec/cWMLs) in asymptomatic individuals aged ≥50 years and to identify associated clinical phenotypes. METHODS: Cross-sectional analysis of 141 asymptomatic individuals aged ≥50 years assessed at an outpatient department in France. Brain magnetic resonance imaging was rated using the Fazekas scale. Age-adjusted odds ratios (ORs) and 95% confidence intervals were estimated using logistic models to investigate factors associated with ec/cWMLs; independent risk factors were identified by multivariate analysis. RESULTS: Median age was 63 years; 53.9% were women, 32.6% had hypertension, and 76.6% had ≥1 cardiovascular risk factors. The prevalence of ec/cWMLs was 26.2%. Apart from age, independent risk factors were family history of cardiovascular event (OR = 5.55; 1.13-27.32) and hypertension (2.47; 1.05-5.81). Patients with ec/cWMLs had lower cognitive dual-task walking speed (1.15; 0.98-1.40), MMSE (1.41; 1.06-1.89), and FAB scores (5.21; 1.49-19.84). The Scheltens score was independently associated with the WML severity score. CONCLUSION: ec/cWMLs are common in asymptomatic community-dwelling individuals aged ≥50 years. They are associated with cardiovascular risk factors, impairments in global and executive cognitive function, and Scheltens score elevation.

Several frailty parameters highly prevalent in middle age (50-65) are independent predictors of adverse events.

Although frailty can arise in middle age, very few studies have investigated frailty before 65 years. Our objectives were to assess the prevalence of frailty parameters in middle-aged individuals and probe the association with future adverse events. We performed cross-sectional and longitudinal analyses of community-dwelling individuals aged 50 to 65 (n = 411, median age: 59.0) having undergone a multidomain geriatric assessment (2010-2015) in an outpatient clinic in the greater Paris area of France (SUCCEED cohort). The primary outcome was a composite measure of adverse events (non-accidental falls, fractures, unplanned hospitalizations, death), recorded in 2016/2017. Multivariable logistic regression models were built to identify independent predictors. Six frailty parameters were highly prevalent (> 20%): low activity (40.1%), exhaustion (31.3%), living alone (28.5%), balance impairment (26.8%), weakness (26.7%), and executive dysfunction (23.2%). Female sex (odds ratio: 2.67 [95% confidence interval: 1.17-6.11]), living alone (2.39 [1.32-4.33]), balance impairment (2.09 [1.16-3.78]), executive dysfunction (2.61, [1.18-5.77]), and exhaustion (2.98 [1.65-5.39]) were independent predictors of adverse events. Many frailty parameters are already altered in middle-aged individuals and are predictive of adverse health events. Our findings highlight a possible need for frailty screening and preventive programs targeting middle-aged individuals.

Identification of five frailty profiles in community-dwelling individuals aged 50-75: A latent class analysis of the SUCCEED survey data.

OBJECTIVES: We sought to identify frailty profiles in individuals aged 50-75 by considering frailty as an unobservable latent variable in a latent class analysis (LCA). STUDY DESIGN: 589 prospectively enrolled community-dwelling individuals aged 50-75 (median: 61.7 years) had undergone a standardized, multidomain assessment in 2010-2015. Adverse health outcomes (non-accidental falls, fractures, unplanned hospitalizations, and death) that had occurred since the assessment were recorded in 2016-2017. MAIN OUTCOME MEASURES: The LCA used nine indicators (unintentional weight loss, relative slowness, weakness, impaired balance, osteoporosis, impaired cognitive functions, executive dysfunction, depression, and hearing impairment) and three covariates (age, gender, and consultation for health complaints). The resulting profiles were characterized by the Fried phenotype and adverse health outcomes. RESULTS: We identified five profiles: "fit" (LC1, 29.7% of the participants; median age: 59 years); "weight loss, relative slowness, and osteoporosis" (LC2, 33.2%; 63 years); "weakness and osteopenia" (LC3, 21.9%; 60 years); "impaired physical and executive functions" (LC4, 11%; 67 years); and "impaired balance, cognitive functions, and depression" (LC5, 4.3%; 70 years). Almost all members of LC3 and LC4 were female, and were more likely than members of other profiles to have a frail or pre-frail Fried phenotype. Non-accidental falls were significantly more frequent in LC4. LC5 (almost all males) had the highest number of comorbidities and cardiovascular risk factors but none was frail. CONCLUSIONS: Our data-driven approach covered most geriatric assessment domains and identified five frailty profiles. With a view to tailoring interventions and prevention, frailty needs to be detected among young seniors.

Risk factors for deep vein thrombosis in inpatients aged 65 and older: a case-control multicenter study.

OBJECTIVES: To identify independent risk factors of symptomatic deep vein thrombosis (DVT) in geriatric inpatients and to define high-risk patients likely to benefit from preventive treatment. DESIGN: Hospital-based case-control multicenter study with prospective data collection. SETTINGS: Geriatric university hospitals with long-, intermediate-, and short-term care facilities. PARTICIPANTS: All patients aged 65 and older in 19 geriatric departments were submitted to clinical surveillance over a 16-month period. MEASUREMENTS: Twenty-three potential risk factors of phlebitis were screened for. Comparison using logistic regression of 310 consecutive patients with symptomatic DVT versus 310 randomly selected controls was performed. The risk for symptomatic DVT in geriatrics was then scored from the clinical risk factors identified using multivariate analysis. This score is defined by the sum of the odds ratio (OR) of each risk factor present. RESULTS: Six factors were identified as independently related to the development of DVT: restriction of mobility (from OR=1.73, limited mobility without immobilization, to OR=5.64, bedridden during <15 days), aged 75 and older (OR=1.5/10 years), history of DVT or pulmonary embolism (OR=3.38), acute heart failure (OR=2.52), chronic edema of the lower limbs (OR=2.51), and paresis or paralysis of a lower limb (OR=2.06). The defined score of 8 or higher corresponded to an 88.7% probability of having symptomatic DVT. CONCLUSION: Treatments to prevent symptomatic DVT in hospitalized elderly should be evaluated on patients with these factors.