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Search: (LAR1:gu) pers:(Blennow Kaj 1958) pers:(Hampel H.) > (2010-2014) > Test sequence of CS...

  • Vos, S. (author)

Test sequence of CSF and MRI biomarkers for prediction of AD in subjects with MCI

  • Article/chapterEnglish2012

Publisher, publication year, extent ...

  • Elsevier BV,2012

Numbers

  • LIBRIS-ID:oai:gup.ub.gu.se/164018
  • https://gup.ub.gu.se/publication/164018URI
  • https://doi.org/10.1016/j.neurobiolaging.2011.12.017DOI
  • https://lup.lub.lu.se/record/3147573URI
  • http://kipublications.ki.se/Default.aspx?queryparsed=id:125145217URI

Supplementary language notes

  • Language:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Our aim was to identify the best diagnostic test sequence for predicting Alzheimer's disease (AD)-type dementia in subjects with mild cognitive impairment (MCI) using cerebrospinal fluid (CSF) and magnetic resonance imaging (MRI) biomarkers. We selected 153 subjects with mild cognitive impairment from a multicenter memory clinic-based cohort. We tested the CSF beta amyloid (A beta)1-42/tau ratio using enzyme-linked immunosorbent assay (ELISA) and hippocampal volumes (HCVs) using the atlas-based learning embeddings for atlas propagation (LEAP) method. Outcome measure was progression to AD-type dementia in 2 years. At follow-up, 48 (31%) subjects converted to AD-type dementia. In multivariable analyses, CSF A beta 1-42/tau and HCV predicted AD-type dementia regardless of apolipoprotein E (APOE) genotype and cognitive scores. Test sequence analyses showed that CSF A beta 1-42/tau increased predictive accuracy in subjects with normal HCV (p < 0.001) and abnormal HCV (p = 0.025). HCV increased predictive accuracy only in subjects with normal CSF A beta 1-42/tau (p = 0.014). Slope analyses for annual cognitive decline yielded similar results. For selection of subjects for a prodromal AD trial, the best balance between sample size and number of subjects needed to screen was obtained with CSF markers. These results provide further support for the use of CSF and magnetic resonance imaging biomarkers to identify prodromal AD. (c) 2012 Elsevier Inc. All rights reserved.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • van Rossum, I. (author)
  • Burns, L. (author)
  • Knol, D. (author)
  • Scheltens, P. (author)
  • Soininen, H. (author)
  • Wahlund, L. O.Karolinska Institutet (author)
  • Hampel, H. (author)
  • Tsolaki, M. (author)
  • Minthon, LennartLund University,Lunds universitet,Klinisk minnesforskning,Forskargrupper vid Lunds universitet,Clinical Memory Research,Lund University Research Groups(Swepub:lu)psyk-lmi (author)
  • Handels, R. (author)
  • L'Italien, G. (author)
  • van der Flier, W. (author)
  • Aalten, P. (author)
  • Teunissen, C. (author)
  • Barkhof, F. (author)
  • Blennow, Kaj,1958Gothenburg University,Göteborgs universitet,Institutionen för neurovetenskap och fysiologi, sektionen för psykiatri och neurokemi,Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry(Swepub:gu)xbleka (author)
  • Wolz, R. (author)
  • Rueckert, D. (author)
  • Verhey, F. (author)
  • Visser, P. J. (author)
  • Karolinska InstitutetKlinisk minnesforskning (creator_code:org_t)

Related titles

  • In:Neurobiology of Aging: Elsevier BV33:10, s. 2272-22810197-45801558-1497

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