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Sökning: L773:1421 9824 > Cavallin L

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1.
  • Ferreira, D, et al. (författare)
  • Electroencephalography Is a Good Complement to Currently Established Dementia Biomarkers
  • 2016
  • Ingår i: Dementia and geriatric cognitive disorders. - : S. Karger AG. - 1421-9824 .- 1420-8008. ; 42:1-2, s. 80-92
  • Tidskriftsartikel (refereegranskat)abstract
    • <b><i>Background/Aims:</i></b> Dementia biomarkers that are accessible and easily applicable in nonspecialized clinical settings are urgently needed. Quantitative electroencephalography (qEEG) is a good candidate, and the statistical pattern recognition (SPR) method has recently provided promising results. We tested the diagnostic value of qEEG-SPR in comparison to cognition, structural imaging, and cerebrospinal fluid (CSF) biomarkers. <b><i>Methods:</i></b> A total of 511 individuals were recruited from the multicenter NORD EEG study [141 healthy controls, 64 subjective cognitive decline, 124 mild cognitive impairment, 135 Alzheimer's disease (AD), 15 dementia with Lewy bodies/Parkinson's disease with dementia (DLB/PDD), 32 other dementias]. The EEG data were recorded in a standardized way. Structural imaging data were visually rated using scales of atrophy in the medial temporal, frontal, and posterior cortex. <b><i>Results:</i></b> qEEG-SPR outperformed structural imaging, cognition, and CSF biomarkers in DLB/PDD diagnosis, outperformed structural imaging in AD diagnosis, and improved the differential diagnosis of AD. In addition, qEEG-SPR allowed differentiation of two clinically different AD subtypes. <b><i>Conclusion:</i></b> Adding qEEG to the diagnostic workup substantially increases the detection of AD pathology even in pre-dementia stages and improves differential diagnosis. EEG could serve as a good complement to currently established dementia biomarkers since it is cheap, noninvasive, and extensively applied outside academic centers.
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2.
  • Oksengard, A. R., et al. (författare)
  • Lack of Accuracy for the Proposed 'Dubois Criteria' in Alzheimer's Disease: A Validation Study from the Swedish Brain Power Initiative
  • 2010
  • Ingår i: Dementia and Geriatric Cognitive Disorders. - : S. Karger AG. - 1420-8008 .- 1421-9824. ; 30:4, s. 374-380
  • Tidskriftsartikel (refereegranskat)abstract
    • Background/Aims: Our purpose was to investigate whether the new research criteria for Alzheimer's disease proposed in 2007 by Dubois et al. are valid in a naturalistic memory clinic sample. Method: Retrospective diagnostic analyses were carried out to compare the traditional diagnostic criteria for dementia with the new criteria suggested by Dubois et al. No patient had gone through all procedures postulated as additional features in the proposed new Dubois criteria. Material: Two independent experienced geriatricians re-examined 150 complete patients' records. The study physicians were blinded to any of the results of the core and additional features suggested by Dubois et al. to avoid circular diagnostic bias. Results: Among our 96 patients with a clinical diagnosis of subjective cognitive impairment and/or mild cognitive impairment, 2 of the patients with subjective cognitive impairment and 5 patients with mild cognitive impairment would classify as pre-dementia Alzheimer's disease according to the Dubois criteria. In our 23 Alzheimer patients diagnosed clinically, only 12 of the cases fulfilled the criteria for Alzheimer's disease suggested by Dubois et al. Interpretation: The proposed new criteria for Alzheimer's disease are valid in 55% of our patients clinically diagnosed as having full-blown Alzheimer dementia. Additionally, 7.3% 'true' Alzheimer cases will be identified in a group of 96 clinically non-demented patients. Our results show that there is a large heterogeneity in a clinical naturalistic sample of patients with an Alzheimer phenotype. Conclusion: There is a need to further validate the currently existing biomarkers in large unselected samples and avoid the pitfall of workup bias and circular diagnostic processes. Additionally, valid age-specific cut-off values for the diagnostic markers in question have to be defined. Copyright (C) 2010 S. Karger AG, Basel
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3.
  • Persson, K, et al. (författare)
  • Visual Evaluation of Medial Temporal Lobe Atrophy as a Clinical Marker of Conversion from Mild Cognitive Impairment to Dementia and for Predicting Progression in Patients with Mild Cognitive Impairment and Mild Alzheimer's Disease
  • 2017
  • Ingår i: Dementia and geriatric cognitive disorders. - : S. Karger AG. - 1421-9824 .- 1420-8008. ; 44:1-2, s. 12-24
  • Tidskriftsartikel (refereegranskat)abstract
    • <b><i>Background/Aims:</i></b> To evaluate whether visual assessment of medial temporal lobe atrophy (vaMTA) can predict 2-year conversion from mild cognitive impairment (MCI) to dementia and progression of MCI and Alzheimer's disease dementia as measured by the Clinical Dementia Rating Scale Sum of Boxes score (CDR-SB). <b><i>Methods:</i></b> vaMTA was performed in 94 patients with MCI according to the Winblad criteria and in 124 patients with AD according to ICD-10 and NINCDS-ADRDA criteria. Demographic data, the Consortium to Establish a Registry for Alzheimer's Disease 10-word delayed recall, APOE &#x025B;4 status, Cornell Scale for Depression in Dementia, and comorbid hypertension were used as covariates. <b><i>Results:</i></b> vaMTA was associated with MCI conversion in an unadjusted model but not in an adjusted model (<i>p</i> = 0.075), where delayed recall and APOE &#x025B;4 status were significant predictors. With CDR-SB change as the outcome, an interaction between vaMTA and diagnosis was found, but in the adjusted model only delayed recall and age were significant predictors. For vaMTA below 2, the association between vaMTA and CDR-SB change differed between diagnostic groups. Similar results were found based on a trajectory analysis. <b><i>Conclusion:</i></b> In adjusted models, memory function, APOE &#x025B;4 status and age were significant predictors of disease progression, not vaMTA. The association between vaMTA and CDR-SB change was different in patients with MCI and Alzheimer's disease dementia.
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