Diagnostic performance of a CSF-biomarker panel in autopsy-confirmed dementia

Abstract To establish diagnostic performance of the cerebrospinal fluid (CSF) biomarkers β-amyloid peptide (Aβ1–42 ), total tau-protein (T-tau) and tau phosphorylated at threonine 181 (P-tau181P ) compared to clinical diagnosis, biomarker levels were determined in CSF samples from 100 autopsy-confir...

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Veröffentlicht in:Neurobiology of aging 2008-08, Vol.29 (8), p.1143-1159
Hauptverfasser: Engelborghs, Sebastiaan, De Vreese, Karen, Van de Casteele, Tom, Vanderstichele, Hugo, Van Everbroeck, Bart, Cras, Patrick, Martin, Jean-Jacques, Vanmechelen, Eugeen, De Deyn, Peter Paul
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container_end_page 1159
container_issue 8
container_start_page 1143
container_title Neurobiology of aging
container_volume 29
creator Engelborghs, Sebastiaan
De Vreese, Karen
Van de Casteele, Tom
Vanderstichele, Hugo
Van Everbroeck, Bart
Cras, Patrick
Martin, Jean-Jacques
Vanmechelen, Eugeen
De Deyn, Peter Paul
description Abstract To establish diagnostic performance of the cerebrospinal fluid (CSF) biomarkers β-amyloid peptide (Aβ1–42 ), total tau-protein (T-tau) and tau phosphorylated at threonine 181 (P-tau181P ) compared to clinical diagnosis, biomarker levels were determined in CSF samples from 100 autopsy-confirmed dementia and 100 control subjects. As the control and dementia groups were not age-matched and given the significant associations of biomarker concentrations with age in controls, age-corrected biomarker concentrations were calculated. New models were constructed by means of logistic regression. Using all biomarkers, dementia could be discriminated from controls (sensitivity ( S ) = 86%, specificity (Sp) = 89%). T-tau and Aβ1–42 optimally discriminated Alzheimer's disease (AD) from other dementias (NONAD) and controls ( S = 90%, Sp = 89%). AD was optimally discriminated from NONAD using P-tau181P and Aβ1–42 ( S = 80%, Sp = 93%). Diagnostic accuracy of the latter model (82.7%) was comparable to clinical diagnostic accuracy (81.6%) that was based on a whole clinical work-up (including imaging). Using this model, in cases with clinically doubtful diagnoses, a correct diagnosis would have been established in 4/6 autopsy-confirmed AD and 3/3 autopsy-confirmed NONAD cases. The value of biomarkers in differential dementia diagnosis was shown, using pathological diagnosis as a reference. New models have been developed, achieving sensitivity, specificity and diagnostic accuracy levels, consistently exceeding 80%.
doi_str_mv 10.1016/j.neurobiolaging.2007.02.016
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As the control and dementia groups were not age-matched and given the significant associations of biomarker concentrations with age in controls, age-corrected biomarker concentrations were calculated. New models were constructed by means of logistic regression. Using all biomarkers, dementia could be discriminated from controls (sensitivity ( S ) = 86%, specificity (Sp) = 89%). T-tau and Aβ1–42 optimally discriminated Alzheimer's disease (AD) from other dementias (NONAD) and controls ( S = 90%, Sp = 89%). AD was optimally discriminated from NONAD using P-tau181P and Aβ1–42 ( S = 80%, Sp = 93%). Diagnostic accuracy of the latter model (82.7%) was comparable to clinical diagnostic accuracy (81.6%) that was based on a whole clinical work-up (including imaging). Using this model, in cases with clinically doubtful diagnoses, a correct diagnosis would have been established in 4/6 autopsy-confirmed AD and 3/3 autopsy-confirmed NONAD cases. 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As the control and dementia groups were not age-matched and given the significant associations of biomarker concentrations with age in controls, age-corrected biomarker concentrations were calculated. New models were constructed by means of logistic regression. Using all biomarkers, dementia could be discriminated from controls (sensitivity ( S ) = 86%, specificity (Sp) = 89%). T-tau and Aβ1–42 optimally discriminated Alzheimer's disease (AD) from other dementias (NONAD) and controls ( S = 90%, Sp = 89%). AD was optimally discriminated from NONAD using P-tau181P and Aβ1–42 ( S = 80%, Sp = 93%). Diagnostic accuracy of the latter model (82.7%) was comparable to clinical diagnostic accuracy (81.6%) that was based on a whole clinical work-up (including imaging). Using this model, in cases with clinically doubtful diagnoses, a correct diagnosis would have been established in 4/6 autopsy-confirmed AD and 3/3 autopsy-confirmed NONAD cases. The value of biomarkers in differential dementia diagnosis was shown, using pathological diagnosis as a reference. 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As the control and dementia groups were not age-matched and given the significant associations of biomarker concentrations with age in controls, age-corrected biomarker concentrations were calculated. New models were constructed by means of logistic regression. Using all biomarkers, dementia could be discriminated from controls (sensitivity ( S ) = 86%, specificity (Sp) = 89%). T-tau and Aβ1–42 optimally discriminated Alzheimer's disease (AD) from other dementias (NONAD) and controls ( S = 90%, Sp = 89%). AD was optimally discriminated from NONAD using P-tau181P and Aβ1–42 ( S = 80%, Sp = 93%). Diagnostic accuracy of the latter model (82.7%) was comparable to clinical diagnostic accuracy (81.6%) that was based on a whole clinical work-up (including imaging). Using this model, in cases with clinically doubtful diagnoses, a correct diagnosis would have been established in 4/6 autopsy-confirmed AD and 3/3 autopsy-confirmed NONAD cases. 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subjects Aged
Alzheimer's disease
Amyloid beta-Peptides - cerebrospinal fluid
Autopsy
Biomarkers
Biomarkers - cerebrospinal fluid
Cerebrospinal fluid
Dementia
Dementia - cerebrospinal fluid
Dementia - diagnosis
Diagnosis, Computer-Assisted - methods
Female
Humans
Internal Medicine
Male
Middle Aged
Neurology
Neuropathology
Peptide Fragments - cerebrospinal fluid
Phospho-tau
Reproducibility of Results
Sensitivity and Specificity
Tau protein
tau Proteins - cerebrospinal fluid
β-Amyloid peptide
title Diagnostic performance of a CSF-biomarker panel in autopsy-confirmed dementia
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