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64 The Biomarker-Based Etiological Diagnosis of Neurocognitive Disorders: the European Inter-Societal Delphi Consensus

Published online by Cambridge University Press:  21 December 2023

Roy P.C. Kessels*
Affiliation:
Radboud University, Nijmegen, Netherlands. Federation of the European Societies of Neuropsychology (FESN), Vienna, Austria.
Stefano Cappa
Affiliation:
Federation of the European Societies of Neuropsychology (FESN), Vienna, Austria. Scuola Universitaria Superiore IUSS Pavia, Pavia, Italy.
Cristina Festari
Affiliation:
IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
Matteo Cotta-Ramusino
Affiliation:
University of Pavia, Pavia, Italy.
Federico Massa
Affiliation:
University of Genoa, Genoa, Italy.
Stefania Orini
Affiliation:
IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
Flavio Nobili
Affiliation:
University of Genoa, Genoa, Italy.
Giovanni B. Frisoni
Affiliation:
University of Geneva, Geneva, Switzerland
for the European Inter-Societal Consensus on the Biomarker-Based Diagnosis of Dementia
Affiliation:
Federation of the European Societies of Neuropsychology (FESN), Vienna, Austria.
*
Correspondence: Roy P.C. Kessels, Radboud University, roy.kessels@donders.ru.nl
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Abstract

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Objective:

In the field of neurocognitive disorders, the perspective offered by new disease-modifying therapy increases the importance of etiological diagnosis. The prescription of cerebrospinal fluid analysis (CSF) and imaging biomarkers is a common practice in the clinic but is often driven more by personal expertise and local availability of diagnostic tools than by evidence of efficacy and cost-effectiveness analysis. This leads to a widely heterogeneous dementia care across Europe. Therefore, a European initiative is currently being conducted to establish a consensus for biomarker-based diagnosis of patients with mild cognitive impairment (MCI) and mild dementia.

Participants and Methods:

Since November 2020, a European multidisciplinary task force of 22 experts from 11 scientific societies have been defining a diagnostic workflow for the efficient use of biomarkers. The Delphi consensus procedure was used to bridge the gaps of incomplete scientific evidence on biomarker prioritization. The project has been in two phases. During Phase 1, we conducted a literature review on the accuracy of imaging, CSF, neurophysiological and blood biomarkers in predicting the clinical progression or in defining the underpinning aetiology of main neurocognitive disorders. Evidence was provided to support the panelists’ decisions. In phase 2, a modified Delphi procedure was implemented, and consensus was reached at a threshold of 70% agreement, or 50%+1 when a question required rediscussion.

Results:

In phase 1, 167 out of 2,200 screened papers provided validated measures of biomarker diagnostic accuracy compared with a gold standard or in predicting progression or conversion of MCI to the dementia stage (i.e., MRI, CSF, FDG-PET, DaT-imaging, amyloid-PET, tau-PET, and myocardial MIBG-scintigraphy and EEG). During phase 2, panelists agreed on the clinical workspace of the workflow, the stage of application, and the patient age window. The workflow is patient-centered and features three levels of assessment (W): W1 defines eleven clinical profiles based on integrated results of neuropsychology, MRI atrophy patterns, and blood tests; W2 describes the first-line biomarkers according to W1 versus clinical suspicion; and W3 suggests the second-line biomarkers when the results of first-line biomarkers are inconsistent with the diagnostic hypothesis, uninformative or inconclusive. CSF biomarkers are first-line in the suspect of Alzheimer’s disease (AD) and when inconsistent neuropsychological and MRI findings hinder a clear diagnostic hypothesis; dopamine SPECT/PET for those leading to suspect Lewy body spectrum. FDG-PET is first-line for the clinical profiles leading to suspect frontotemporal lobar degeneration and motor tauopathies and is followed by CSF biomarkers in the case of atypical metabolic patterns, when an underlying AD etiology is conceivable.

Conclusions:

The workflow will promote consistency in diagnosing neurocognitive disorders across countries and rational use of resources. The initiative has some limitations, mainly linked to the Delphi procedure (e.g., kickoff questions were driven by the moderators, answers are driven by the Delphi panel composition, a subtle phrasing of the questions may drive answers, and 70% threshold for convergence is conventional). However, the diagnostic workflow will be able to help clinicians achieve an early and sustainable etiological diagnosis and enable the use of disease-modifying drugs as soon as they become available.

Type
Poster Session 03: Dementia | Amnesia | Memory | Language | Executive Functions
Copyright
Copyright © INS. Published by Cambridge University Press, 2023