14 research outputs found

    Cerebrospinal fluid biomarkers for Alzheimer's and vascular disease vary by age, gender, and APOE genotype in cognitively normal adults

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    Abstract Background This study sought to evaluate gender and APOE genotype-related differences in the concentrations of cerebrospinal fluid (CSF) biomarkers for Alzheimer’s disease (AD) and cerebrovascular injury across the life span of cognitively normal adults. Methods CSF amyloid beta1–42 (Aβ42), phospho-tau-181 (p-tau181), and total tau were measured in 331 participants who were between the ages of 21 and 100. CSF E-selectin and vascular cell adhesion protein 1 (VCAM1) were measured in 249 participants who were between the ages of 50 and 100. Results CSF total tau and p-tau181 increased with age over the adult life span (p < 0.01) with no gender differences in those increases. CSF Aβ42 concentration varied according to age, gender, and APOE genotype (interaction of age × gender × ε4, p = 0.047). CSF VCAM1, but not E-selectin, increased with age (p < 0.01), but both were elevated in men compared to women (p < 0.01). Conclusions Female APOE-ε4 carriers appear at higher risk for AD after age 50. In contrast, men may experience a relatively higher rate of cerebrovascular injury in middle and early old age

    Additional file 1: Tables S1 and S2. of Cerebrospinal fluid biomarkers for Alzheimer's and vascular disease vary by age, gender, and APOE genotype in cognitively normal adults

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    Table S1 presents participant characteristics and Table S2 presents mean change in CSF Aβ42 by increase in age and stratified by gender and APOE genotype predicted from linear regression of CSF Aβ42 on the three way age × gender × APOE genotype interaction. (DOCX 14 kb

    Survey of healthcare experiences of Australian adults living with rare diseases.

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    Background: Few studies have examined whether the healthcare needs of people living with rare diseases are being met. This study explores the experiences of Australian adults living with rare diseases in relation to diagnosis, information provision at the time of diagnosis, use of health and support services and involvement in research on their condition. Methods: The survey respondents are self-selected from the population of Australian residents aged 18 years and over who are living with a rare disease. An online survey was implemented between July-August 2014. Purposive snowballing sampling was used. The results are reported as percentages with significant differences between sub-groups assessed using chi-squared analyses. Results: Eight hundred ten responses were obtained from adults living with a rare disease. 92.1 % had a confirmed diagnosis, of which 30.0 % waited five or more years for a diagnosis, 66.2 % had seen three or more doctors to get a diagnosis and 45.9 % had received at least one incorrect diagnosis. Almost three quarters (72.1 %) received no or not enough information at the time of diagnosis. In the 12 months prior to the survey, over 80 % of respondents had used the services of a general practitioner and a medical specialist while around a third had been inpatients at a hospital or had visited an emergency department. Only 15.4 % of respondents had ever used paediatric services, 52.8 % of these had experienced problems in the transition from paediatric to adult services. Only 20.3 % knew of a patient registry for their condition and 24.8 % were informed of clinical trials.Conclusions: These findings suggest that not all healthcare needs of people living with rare diseases are being met. Structural changes to Australian healthcare systems may be required to improve the integration and coordination of diagnosis and care. Health professionals may need greater awareness of rare diseases to improve the diagnostic process and support to meet the information requirements of people newly diagnosed with rare diseases. Health service use is likely higher than for the general population and further epidemiological studies are needed on the impact of rare diseases on the healthcare system
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