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1.
J Prev Alzheimers Dis ; 8(4): 495-502, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34585225

RESUMO

BACKGROUND: PET (positron emission tomography) and CSF (cerebrospinal fluid) provide the "ATN" (Amyloid, Tau, Neurodegeneration) classification and play an essential role in early and differential diagnosis of Alzheimer's disease (AD). OBJECTIVE: Biomarkers were evaluated in a Japanese multicenter study on cognitively unimpaired subjects (CU) and early (E) and late (L) mild cognitive impairment (MCI) patients. MEASUREMENTS: A total of 38 (26 CU, 7 EMCI, 5 LMCI) subjects with the age of 65-84 were enrolled. Amyloid-PET and FDG-PET as well as structural MRI were acquired on all of them, with an additional tau-PET with 18F-flortaucipir on 15 and CSF measurement of Aß1-42, P-tau, and T-tau on 18 subjects. Positivity of amyloid and tau was determined based on the positive result of either PET or CSF. RESULTS: The amyloid positivity was 13/38, with discordance between PET and CSF in 6/18. Cortical tau deposition quantified with PET was significantly correlated with CSF P-tau, in spite of discordance in the binary positivity between visual PET interpretation and CSF P-tau in 5/8 (PET-/CSF+). Tau was positive in 7/9 amyloid positive and 8/16 amyloid negative subjects who underwent tau measurement, respectively. Overall, a large number of subjects presented quantitative measures and/or visual read that are close to the borderline of binary positivity, which caused, at least partly, the discordance between PET and CSF in amyloid and/or tau. Nine subjects presented either tau or FDG-PET positive while amyloid was negative, suggesting the possibility of non-AD disorders. CONCLUSION: Positivity rate of amyloid and tau, together with their relationship, was consistent with previous reports. Multicenter study on subjects with very mild or no cognitive impairment may need refining the positivity criteria and cutoff level as well as strict quality control of the measurements.


Assuntos
Doença de Alzheimer , Biomarcadores/líquido cefalorraquidiano , Disfunção Cognitiva/diagnóstico , Tomografia por Emissão de Pósitrons , Sintomas Prodrômicos , Idoso , Idoso de 80 Anos ou mais , Peptídeos beta-Amiloides/líquido cefalorraquidiano , Peptídeos beta-Amiloides/metabolismo , Carbolinas , Disfunção Cognitiva/líquido cefalorraquidiano , Humanos , Japão , Imageamento por Ressonância Magnética , Proteínas tau/líquido cefalorraquidiano , Proteínas tau/metabolismo
2.
Infection ; 40(5): 549-56, 2012 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-22847628

RESUMO

PURPOSE: The 2009 worldwide influenza A/H1N1 pandemic particularly affected younger people, including schoolchildren. We assessed the effects of class/school closure during the pandemic on the spread of H1N1 infection in Japan. METHODS: We prospectively monitored 2,141 schoolchildren in 57 classes at two elementary schools and two junior high schools in Japan, and evaluated the effects of class/school closures on the spread of H1N1 using descriptive epidemiological methods. RESULTS: The cumulative rate of H1N1 infection among these children was 40.9% (876 children). There was a total of 53 closures of 40 classes, including school closures, during the pandemic. Time-course changes in the epidemic curve showed that school closure reduced the following epidemic peak more than class closure. A Poisson regression model showed that a longer duration of closure was significantly related to decreased H1N1 occurrence after the resumption of classes. CONCLUSIONS: School closure more effectively inhibits subsequent epidemic outbreaks than class closure. Longer school closures are effective in reducing the spread of infection, and school closure should be implemented as early as possible.


Assuntos
Vírus da Influenza A Subtipo H1N1/isolamento & purificação , Influenza Humana/epidemiologia , Influenza Humana/prevenção & controle , Quarentena/métodos , Instituições Acadêmicas/estatística & dados numéricos , Adolescente , Criança , Feminino , Humanos , Influenza Humana/transmissão , Japão/epidemiologia , Masculino , Modelos Estatísticos , Estudos Prospectivos
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