Literature DB >> 27160162

Diagnostic Accuracy of the Frontotemporal Dementia Consensus Criteria in the Late-Onset Frontal Lobe Syndrome.

Everard G B Vijverberg1, Annemiek Dols, Welmoed A Krudop, Anne Peters, Cora J Kerssens, Bart N M van Berckel, Mike P Wattjes, Frederik Barkhof, Flora Gossink, Niels D Prins, Max L Stek, Philip Scheltens, Yolande A L Pijnenburg.   

Abstract

BACKGROUND/AIMS: We aimed to prospectively assess the diagnostic accuracy of the revised criteria for behavioural variant frontotemporal dementia (bvFTD) among subjects presenting with a frontal lobe syndrome in middle-late adulthood.
METHODS: Patients were included based on a predominant behavioural clinical presentation, a Frontal Behavioural Inventory (FBI) score of ≥11 and/or a Stereotypy Rating Inventory (SRI) score of ≥10. At baseline, the fulfilment of the international consensus criteria for behavioural variant FTD (FTDC) was systematically recorded. The 2-year follow-up consensus diagnosis was used as the gold standard to calculate sensitivity and specificity of the FTDC criteria for possible and probable bvFTD.
RESULTS: Two-year follow-up data were available for 116 patients (85%). Two-year follow-up consensus diagnoses consisted of probable/definite bvFTD (n = 27), other dementia (n = 30), psychiatric disorders (n = 46) and other neurological disorders (n = 13). Sensitivity for possible bvFTD was 85% (95% CI 70-95%) at a specificity of 27% (95% CI 19-37%). Sensitivity for probable bvFTD was 85% (95% CI 69-95%), whereas their specificity was 82% (95% CI 73-89%).
CONCLUSIONS: We found a good diagnostic accuracy for FTDC probable bvFTD. However, the specificity for FTDC possible bvFTD was low. Our results reflect the symptomatic overlap between bvFTD, other neurological conditions and psychiatric disorders, and the relevance of adding neuroimaging to the diagnostic process.
© 2016 S. Karger AG, Basel.

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Year:  2016        PMID: 27160162     DOI: 10.1159/000444849

Source DB:  PubMed          Journal:  Dement Geriatr Cogn Disord        ISSN: 1420-8008            Impact factor:   2.959


  8 in total

1.  Executive Dysfunction and Behavioral Symptoms Are Associated with Deficits in Instrumental Activities of Daily Living in Frontotemporal Dementia.

Authors:  Negar Moheb; Mario F Mendez; Sarah A Kremen; Edmond Teng
Journal:  Dement Geriatr Cogn Disord       Date:  2017-01-20       Impact factor: 2.959

Review 2.  Current Potential for Clinical Optimization of Social Cognition Assessment for Frontotemporal Dementia and Primary Psychiatric Disorders.

Authors:  Jan Van den Stock; Maxime Bertoux; Janine Diehl-Schmid; Olivier Piguet; Katherine P Rankin; Florence Pasquier; Simon Ducharme; Yolande Pijnenburg; Fiona Kumfor
Journal:  Neuropsychol Rev       Date:  2022-08-13       Impact factor: 6.940

Review 3.  The path to biomarker-based diagnostic criteria for the spectrum of neurodegenerative diseases.

Authors:  Filippo Baldacci; Sonia Mazzucchi; Alessandra Della Vecchia; Linda Giampietri; Nicola Giannini; Maya Koronyo-Hamaoui; Roberto Ceravolo; Gabriele Siciliano; Ubaldo Bonuccelli; Fanny M Elahi; Andrea Vergallo; Simone Lista; Filippo Sean Giorgi; Harald Hampel
Journal:  Expert Rev Mol Diagn       Date:  2020-02-27       Impact factor: 5.225

4.  Cerebrospinal fluid biomarker examination as a tool to discriminate behavioral variant frontotemporal dementia from primary psychiatric disorders.

Authors:  Everard G B Vijverberg; Annemiek Dols; Welmoed A Krudop; Marta Del Campo Milan; Cora J Kerssens; Flora Gossink; Niels D Prins; Max L Stek; Philip Scheltens; Charlotte E Teunissen; Yolande A L Pijnenburg
Journal:  Alzheimers Dement (Amst)       Date:  2017-03-02

5.  Detecting frontotemporal dementia syndromes using MRI biomarkers.

Authors:  Marie Bruun; Juha Koikkalainen; Hanneke F M Rhodius-Meester; Marta Baroni; Le Gjerum; Mark van Gils; Hilkka Soininen; Anne M Remes; Päivi Hartikainen; Gunhild Waldemar; Patrizia Mecocci; Frederik Barkhof; Yolande Pijnenburg; Wiesje M van der Flier; Steen G Hasselbalch; Jyrki Lötjönen; Kristian S Frederiksen
Journal:  Neuroimage Clin       Date:  2019-02-04       Impact factor: 4.881

Review 6.  MicroRNA biomarkers in frontotemporal dementia and to distinguish from Alzheimer's disease and amyotrophic lateral sclerosis.

Authors:  Bridget Martinez; Philip V Peplow
Journal:  Neural Regen Res       Date:  2022-07       Impact factor: 5.135

Review 7.  Recommendations to distinguish behavioural variant frontotemporal dementia from psychiatric disorders.

Authors:  Simon Ducharme; Annemiek Dols; Robert Laforce; Emma Devenney; Fiona Kumfor; Jan van den Stock; Caroline Dallaire-Théroux; Harro Seelaar; Flora Gossink; Everard Vijverberg; Edward Huey; Mathieu Vandenbulcke; Mario Masellis; Calvin Trieu; Chiadi Onyike; Paulo Caramelli; Leonardo Cruz de Souza; Alexander Santillo; Maria Landqvist Waldö; Ramon Landin-Romero; Olivier Piguet; Wendy Kelso; Dhamidhu Eratne; Dennis Velakoulis; Manabu Ikeda; David Perry; Peter Pressman; Bradley Boeve; Rik Vandenberghe; Mario Mendez; Carole Azuar; Richard Levy; Isabelle Le Ber; Sandra Baez; Alan Lerner; Ratnavalli Ellajosyula; Florence Pasquier; Daniela Galimberti; Elio Scarpini; John van Swieten; Michael Hornberger; Howard Rosen; John Hodges; Janine Diehl-Schmid; Yolande Pijnenburg
Journal:  Brain       Date:  2020-06-01       Impact factor: 13.501

8.  Apraxia profiles-A single cognitive marker to discriminate all variants of frontotemporal lobar degeneration and Alzheimer's disease.

Authors:  Andreas Johnen; Sophia Reul; Heinz Wiendl; Sven G Meuth; Thomas Duning
Journal:  Alzheimers Dement (Amst)       Date:  2018-05-16
  8 in total

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