- Email: [email protected]
COGNITIVE IMPAIRMENT, INSOMNIA AND QUALITY OF LIFE IN A SAMPLE OF OLD PEOPLE IN MEXICO
Poster Presentations: Tuesday, July 18, 2017
We tested this hypothesis in two birth cohorts on reaching age about 65 years some 18 years apart. Cohorts were born 1930-1932 (C30) or 1950-1952 (C50) and followed up from 1993 up to 2016 in our Interdisciplinary Longitudinal Study of Adult Development and Ageing (ILSE). Methods: ILSE cohorts underwent medical and neuropsychological assessments. We contrasted prevalence of MCI and Mild Cognitive Disorder attributable to medical conditions (MCD) between C30 at the second examination (1998, n¼ 222; mean age: 66.5) and C50 at the fourth examination (2016, n¼166; mean age: 63.6). The effect of diagnoses of MCI/MCD on attention, memory, psychomotor speed/mental flexibility, visuo-spatial and abstract thinking was investigated using ANOVAs. Results: 25.23% of C30 met criteria for MCI in 1998, while 9.64% of C50 were diagnosed with MCI in 2016. Moreover, 12.16% of C30 were diagnosed with MCD at the second examination wave in contrast to 7.83% of C 50 at the fourth examination wave. Chi-Square analysis was significant with c2¼ 19.46, df ¼ 2, p<.0001. Effects of diagnoses on neuropsychological test performance were identified for tests assessing abstract thinking, memory, attention, verbal fluency, visuo-spatial thinking, and mental flexibility. However, interactions between cognitive diagnoses and cohort (C 30/C 50) were restricted to a test assessing abstract thinking abilities. Conclusions: Findings from this prospective study of non-clinical samples aged about 65 years support our hypothesis of a decreasing prevalence of MCI in a later born 1950-52 cohort compared with an earlier born 1930-32 cohort. We propose that cognitive reserve was increased in the later-born cohort possibly because school education was significantly longer in the later- than the earlier-born cohort. Additional factors (I.e. better control of hypertension or hypercholesterimia) may also be relevant because better neuropsychological test performance in the later-born remained after adjustment for school education. With the exception of abstract thinking test performance, the profile of age-related neuropsychological deficits was similar between cohorts suggesting that abstract thinking contributes exquisitely to cognitive reserve. P3-293
COGNITIVE IMPAIRMENT, INSOMNIA AND QUALITY OF LIFE IN A SAMPLE OF OLD PEOPLE IN MEXICO
Jose Guerrero-Cantera, Instituto Mexicano del Seguro Social, Mexico City, Mexico. Contact e-mail: [email protected] Background: Cognitive impairment and insomnia are frequent
complaints in older people, and can affect their quality of life. Quality of life measurements can provide more information about clinical alterations relevance in the life of patients. Methods: Descriptive study in adults with 60 years or older, residents in Mexico City. Demographical and general clinical data were obtained. MMSE was used to evaluate cognitive impairment, insomnia was assessed with Athena’s Insomnia Scale, depression with Geriatric Depression Scale and quality of life with SF-36 Questionnaire. Results: A total of 63 patients were evaluated, with an mean age of 69.44 69.87, men 39%, women 61%. Previous Diabetes Mellitus was present in 39%, hyperten-
P1055
sion 46%, Stroke 10%. Subjective memory complaint was in 60%. MMSE mean score was 23.76 65.18, and 51% was with cognitive impairment (MMSE < 24), 5 patients (8%) had criteria for dementia. 24% of patients were with depression. 24% of patients were with insomnia, and quality of life was impaired in 16%. Conclusions: We can observe an important number of people with cognitive impairment and insomnia and apparently affects quality of life, its necessary continue the study for better comprehension of the problem.
P3-294
CROSS-SECTIONAL AND LONGITUDINAL BRAIN NETWORK ATROPHY IN DIFFERENT STAGES OF ALZHEIMER’S DISEASE AND IN RELATION TO COGNITIVE MEASURES
Joyce van Arendonk1,2, Laura E. M. Wisse3, Sandhitsu R. Das3, Nicholas J. Tustison4, David A. Wolk5, 1University of Pennsylvania, Philadelphia, PA, USA; 2Radboud University, Nijmegen, Netherlands; 3 Penn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia, PA, USA; 4University of Virginia, Charlottesville, VA, USA; 5Penn Memory Center, University of Pennsylvania, Philadelphia, PA, USA. Contact e-mail: joyce.van. [email protected] Background: The default-mode network (DMN) has often been
implicated in Alzheimer’s disease (AD) because of its association with AD pathology and putative role in episodic memory. However, clinical presentation of AD also affects cognitive domains such as language and executive function, implying that it is a multi-network disease even at early clinical stages. We therefore examine cortical thickness in multiple networks and investigate how they are affected in early stages of AD and how this relates to cognition. Methods: Structural MRI and comprehensive psychometric data were obtained in 150 cognitive normal amyloid negative(CN-), 67 CN amyloid positive (CN+), 105 Early Mild Cognitive Impairment (EMCI+), 87 Late MCI (LMCI+) and 102 AD+ subjects from ADNI for the cross sectional dataset, as well as a smaller subset with longitudinal MRI. Seven brain networks, defined previously using resting state functional connectivity from BOLD fMRI (Yeo et al. J Neurophysiol 2011), were used. Thickness maps were generated with the DiReCT method as implemented in the ANTs software to analyse the cortical thickness within each network. Parts of Auditory Verbal Learning Test (AVLT) and Alzheimer’s Disease Assessment Scale-Cognitive (ADASCOG) were used to assess immediate memory, delayed recall memory and recognition memory. Language was assessed with the Boston Naming Task and category fluency, and visuomotor speed and executive functioning were based on Trail Making Test A and B, respectively. All analyses were corrected for age, gender and education. Results: Analyses of covariance show significant cortical thinning in multiple networks already in EMCI+, including in the Limbic Network (LIN) and the DMN. Our preliminary longitudinal results confirmed this widespread network involvement. Partial correlations revealed that atrophy in all networks was significantly correlated to each cognitive domain, while LIN showed a significantly
We tested this hypothesis in two birth cohorts on reaching age about 65 years some 18 years apart. Cohorts were born 1930-1932 (C30) or 1950-1952 (C50) and followed up from 1993 up to 2016 in our Interdisciplinary Longitudinal Study of Adult Development and Ageing (ILSE). Methods: ILSE cohorts underwent medical and neuropsychological assessments. We contrasted prevalence of MCI and Mild Cognitive Disorder attributable to medical conditions (MCD) between C30 at the second examination (1998, n¼ 222; mean age: 66.5) and C50 at the fourth examination (2016, n¼166; mean age: 63.6). The effect of diagnoses of MCI/MCD on attention, memory, psychomotor speed/mental flexibility, visuo-spatial and abstract thinking was investigated using ANOVAs. Results: 25.23% of C30 met criteria for MCI in 1998, while 9.64% of C50 were diagnosed with MCI in 2016. Moreover, 12.16% of C30 were diagnosed with MCD at the second examination wave in contrast to 7.83% of C 50 at the fourth examination wave. Chi-Square analysis was significant with c2¼ 19.46, df ¼ 2, p<.0001. Effects of diagnoses on neuropsychological test performance were identified for tests assessing abstract thinking, memory, attention, verbal fluency, visuo-spatial thinking, and mental flexibility. However, interactions between cognitive diagnoses and cohort (C 30/C 50) were restricted to a test assessing abstract thinking abilities. Conclusions: Findings from this prospective study of non-clinical samples aged about 65 years support our hypothesis of a decreasing prevalence of MCI in a later born 1950-52 cohort compared with an earlier born 1930-32 cohort. We propose that cognitive reserve was increased in the later-born cohort possibly because school education was significantly longer in the later- than the earlier-born cohort. Additional factors (I.e. better control of hypertension or hypercholesterimia) may also be relevant because better neuropsychological test performance in the later-born remained after adjustment for school education. With the exception of abstract thinking test performance, the profile of age-related neuropsychological deficits was similar between cohorts suggesting that abstract thinking contributes exquisitely to cognitive reserve. P3-293
COGNITIVE IMPAIRMENT, INSOMNIA AND QUALITY OF LIFE IN A SAMPLE OF OLD PEOPLE IN MEXICO
Jose Guerrero-Cantera, Instituto Mexicano del Seguro Social, Mexico City, Mexico. Contact e-mail: [email protected] Background: Cognitive impairment and insomnia are frequent
complaints in older people, and can affect their quality of life. Quality of life measurements can provide more information about clinical alterations relevance in the life of patients. Methods: Descriptive study in adults with 60 years or older, residents in Mexico City. Demographical and general clinical data were obtained. MMSE was used to evaluate cognitive impairment, insomnia was assessed with Athena’s Insomnia Scale, depression with Geriatric Depression Scale and quality of life with SF-36 Questionnaire. Results: A total of 63 patients were evaluated, with an mean age of 69.44 69.87, men 39%, women 61%. Previous Diabetes Mellitus was present in 39%, hyperten-
P1055
sion 46%, Stroke 10%. Subjective memory complaint was in 60%. MMSE mean score was 23.76 65.18, and 51% was with cognitive impairment (MMSE < 24), 5 patients (8%) had criteria for dementia. 24% of patients were with depression. 24% of patients were with insomnia, and quality of life was impaired in 16%. Conclusions: We can observe an important number of people with cognitive impairment and insomnia and apparently affects quality of life, its necessary continue the study for better comprehension of the problem.
P3-294
CROSS-SECTIONAL AND LONGITUDINAL BRAIN NETWORK ATROPHY IN DIFFERENT STAGES OF ALZHEIMER’S DISEASE AND IN RELATION TO COGNITIVE MEASURES
Joyce van Arendonk1,2, Laura E. M. Wisse3, Sandhitsu R. Das3, Nicholas J. Tustison4, David A. Wolk5, 1University of Pennsylvania, Philadelphia, PA, USA; 2Radboud University, Nijmegen, Netherlands; 3 Penn Image Computing and Science Laboratory (PICSL), University of Pennsylvania, Philadelphia, PA, USA; 4University of Virginia, Charlottesville, VA, USA; 5Penn Memory Center, University of Pennsylvania, Philadelphia, PA, USA. Contact e-mail: joyce.van. [email protected] Background: The default-mode network (DMN) has often been
implicated in Alzheimer’s disease (AD) because of its association with AD pathology and putative role in episodic memory. However, clinical presentation of AD also affects cognitive domains such as language and executive function, implying that it is a multi-network disease even at early clinical stages. We therefore examine cortical thickness in multiple networks and investigate how they are affected in early stages of AD and how this relates to cognition. Methods: Structural MRI and comprehensive psychometric data were obtained in 150 cognitive normal amyloid negative(CN-), 67 CN amyloid positive (CN+), 105 Early Mild Cognitive Impairment (EMCI+), 87 Late MCI (LMCI+) and 102 AD+ subjects from ADNI for the cross sectional dataset, as well as a smaller subset with longitudinal MRI. Seven brain networks, defined previously using resting state functional connectivity from BOLD fMRI (Yeo et al. J Neurophysiol 2011), were used. Thickness maps were generated with the DiReCT method as implemented in the ANTs software to analyse the cortical thickness within each network. Parts of Auditory Verbal Learning Test (AVLT) and Alzheimer’s Disease Assessment Scale-Cognitive (ADASCOG) were used to assess immediate memory, delayed recall memory and recognition memory. Language was assessed with the Boston Naming Task and category fluency, and visuomotor speed and executive functioning were based on Trail Making Test A and B, respectively. All analyses were corrected for age, gender and education. Results: Analyses of covariance show significant cortical thinning in multiple networks already in EMCI+, including in the Limbic Network (LIN) and the DMN. Our preliminary longitudinal results confirmed this widespread network involvement. Partial correlations revealed that atrophy in all networks was significantly correlated to each cognitive domain, while LIN showed a significantly