ABSTRACT
We aimed to identify the early predictors of cognitive decline, and primary care physicians' (PCP) ability to diagnose cognitively impaired subjects, in a cohort of individuals recruited in primary care centers. Independent adults, aged ≥50 years at inception, with an overall low level of education, undertook a prospective clinical and cognitive evaluation targeting memory, attention and executive functions. At follow-up subjects were classified as cognitively normal (CN) or impaired (CI). Of 275 subjects (70.4 ± 8.3 years old, 176 females, 7.5 ± 4.4 education, 162 with MRI), 31 (11.2%) presented CI 4.9 years later, the majority (64.5%) presenting subjective cognitive complaints. PCP could correctly identify 40% of CI individuals, particularly if they presented current cognitive complaints. Male sex (OR = 3.117; CI95%: 1.007-9.645), age (OR = 1.063; CI95%: 1.004-1.126) and baseline scores on TMT-B (OR = 0.225; CI95%: 0.073-0.688) and Vocabulary (OR = 0.940; 95% CI: 0.894-0.986) predicted CI. This study shows that measures indicating poor cognitive reserve and low executive performance (as shown by low vocabulary and executive test scores, respectively) can be early indicators of the risk of decline, stressing the role of cognitive assessment as part of prevention/early intervention programs. The results also underline the need to help PCP to improve the detection of subjects with cognitive decline.
Subject(s)
Aging/physiology , Cognitive Dysfunction/diagnosis , Cognitive Dysfunction/physiopathology , Cognitive Reserve/physiology , Executive Function/physiology , Aged , Aged, 80 and over , Female , Humans , Longitudinal Studies , Male , Middle Aged , Primary Health Care , PrognosisABSTRACT
BACKGROUND: There is scarce data on the level of handicap in Parkinson's disease (PD) and none in advanced stage PD. OBJECTIVE: To assess the handicap in advanced stage PD patients with disabling levodopa-induced motor complications selected to deep brain stimulation (DBS). METHODS: Data was prospectively recorded during routine evaluation for DBS. Handicap was measured using London Handicap Scale (LHS) (0â=âmaximal handicap; 1â=âno handicap). Disease severity was evaluated using the Hoehn & Yahr scale and the UPDRS/MDS-UPDRS, during off and on after a supra-maximal dose of levodopa. Schwab and England Scale (S&E) was scored in off and on. Dyskinesias were scored using the modified Abnormal Involuntary Movement Scale (mAIMS). Results concern cross-sectional assessment before DBS. RESULTS: 100 PD patients (mean age 61 (±7.6); mean disease duration 12.20 (±4.6) years) were included. Median score of motor MDS-UPDRS was 54 in off and 25 in on. Mean total LHS score was 0.56 (±0.14). Patients were handicapped in several domains with a wide range of severity. Physical Independence and Social Integration were the most affected domains. Determinants of total LHS score were MDS-UPDRS part II off (ß=â-0.271; pâ=â0.020), S&E on (ß=â0.264; pâ=â0.005) and off (ß=â0.226; pâ=â0.020), and mAIMS on (ß=â-0.183; pâ=â0.042) scores (R2 â=â29.6%). CONCLUSIONS: We were able to use handicap to measure overall health condition in advanced stage PD. Patients were moderately to highly handicapped and this was strongly determined by disability in ADL and dyskinesias. Change in handicap may be a good patient-centred outcome to assess efficiency of DBS.
Subject(s)
Activities of Daily Living , Deep Brain Stimulation , Dyskinesia, Drug-Induced/diagnosis , Parkinson Disease/diagnosis , Parkinson Disease/therapy , Disability Evaluation , Dyskinesia, Drug-Induced/complications , Female , Humans , Levodopa/adverse effects , Male , Middle Aged , Parkinson Disease/complications , Parkinson Disease/physiopathology , Prospective Studies , Severity of Illness IndexABSTRACT
BACKGROUND: Depression has been reported to increase the risk of subsequently developing dementia, but the nature of this relation remains to be elucidated. Depression can be a prodrome/manifestation of dementia or an early risk factor, and the effect may differ according to depression subtypes. Our aim was to study the association between early-onset depression and different depression subtypes, and the later occurrence of dementia. METHODS: We conducted a cohort study including 322 subjects with depression, recruited between 1977 and 1984. A comparison cohort (non-exposed) was recruited retrospectively, to include 322 subjects admitted at the same hospital for routine surgery (appendicectomy or cholecystectomy), at the same period as the depressed cohort. Subjects were contacted again between 2009 and 2014, to assess their dementia status. We computed the risk for dementia in subjects with early onset depression and quantified the association between different depression subtypes (namely melancholic, anxious, and psychotic) and dementia. RESULTS: The odds of dementia were increased by 2.90 times (95% C.I. 1.61-5.21; p<0.0001) for the depressed cohort when compared to the surgical cohort. When the analysis was restricted to patients younger than 45 years old at baseline, the odds for dementia in the depressed cohort were also significantly higher when compared to the surgical cohort (8.53; 95% C.I. 2.40-30.16). In the multivariate Cox analysis, subjects having depression with melancholic features had an increased risk for developing dementia compared to those without melancholic features (HR=3.64; 95% C.I. 1.78-11.26; p=0.025). LIMITATIONS: About 59% of the participants with depression and 53% of those non-exposed were lost during follow up. The inclusion of biological biomarkers would strengthen the results. The sample included a low number of bipolar patients. CONCLUSIONS: These results support depression as an early risk factor for dementia. Depression with melancholic features was found as an important risk factor for dementia, playing a main role in the relation between these disorders.
Subject(s)
Dementia/diagnosis , Dementia/psychology , Depressive Disorder/psychology , Aged , Cohort Studies , Depression/diagnosis , Depression/psychology , Depressive Disorder/diagnosis , Female , Humans , Male , Middle Aged , Retrospective Studies , Risk FactorsABSTRACT
Evaluation of executive functions is essential in clinical diagnosis, yet there are limited data regarding the performance of participants with low education. We present results on several measures of executive functions obtained in community-dwelling adults with an overall low education and study the effect of this variable in each test. A sample of 479 adults (64% female, mean age 66.4 years) was assessed by a battery comprising 13 measures of executive function (Trail Making Test; Symbol Search; Matrix reasoning; Semantic and phonemic verbal fluencies; Stroop test; and digit spans). Tests' psychometric properties and the effects of age, gender, and education were studied across education levels within each age group. Tests showed good psychometric properties. Education explained more variance than age in the majority of measures, with lower educational levels being significantly associated to worse scores. Tables are presented with mean scores, standard deviation, and the value of extreme percentiles for younger (50-65, N = 232) and older (>65 years, N = 247) × education (0-3, 4, 5-9, and >9 years) subgroups. Education-adjusted norms are necessary for an adequate interpretation of test results. The present data may be useful for clinicians caring for populations with low literacy.
Subject(s)
Aging , Cognition Disorders/diagnosis , Educational Status , Executive Function/physiology , Age Factors , Aged , Aged, 80 and over , Cognition Disorders/psychology , Female , Humans , Male , Middle Aged , Neuropsychological Tests , Portugal , Psychometrics , Regression Analysis , Verbal Behavior/physiologyABSTRACT
The present study aims to investigate the protective effect of formal education on age-related changes in different cognitive domains with the hypothesis that it may attenuate the rate of decline. Individuals aged 50 years or older attending primary care physicians without known brain disease (431 participants, mostly [60.3%] female with 66.3 [±9.1] years of age and 7.7 [±4.1] years of education, on average), were evaluated with a neuropsychological battery including 28 cognitive measures. Cognitive domains identified by factor analysis were subject to repeated multiple regression analyses to determine the variance explained by age and education controlling for gender, depressive symptoms, and vascular risk factors. The slope of the regression equation was compared between two educational groups with an average of 4 years and 11 years of education, respectively. Factors identified corresponded to processing ability (Factor 1), memory (Factor 2), and acquired knowledge (Factor 3). Although education improved performance in Factors 1 and 3, it did not change the slope of age-related decline in any factor. This study suggests that in culturally heterogeneous groups, small increments in education enhance cognition but do not modify the rate of decline of executive functioning with age. These results contradict some clinical findings and need to be confirmed in longitudinal studies.